 approaches on how to create using track data. We also have also to look at what would be the limitations. Of course, as of now, of course, the HICS is being progressively being upgraded based on our feedbacks. So looking at what are the current limitations of the event visualizer app using a combined, especially the normal data we won't be able to use in the event visualizer. And of course, this app is being upgraded. It can be represented anytime very soon. The new data is released. So but as of now, we shall use it as it is developers are doing a great job to upgrade the application. So in the event, so as I said, the event reports yesterday, you covered production of reports, tables, you've learned how to save, download, add them to the dashboards. So this also we apply to the events that are developed through the event visualizer app. So we shall also cover that one. But mainly, so in this, looking at the event visualizer interface, it has actually quite similar features like the event reports. But of course, as I said, in the event visualizer, we won't have possibilities of combining the enormous data. But of course, we shall have a possibility to explore programs and program stage data, playing around with the dimensions, namely data elements, attributes, period, and organization unit, and also be able to choose chart types depending on data want to present. This is, this means like, if let's say we want to do analysis in time to see the progress or to assess what has been the progress that has been made so far. This is where we want to decide which type of chart we want to use for our analysis. So event visualizer are two. So let's now start by doing the event we are doing our practice. Hello, do you hear me? Yes, yes. Are you there? Yes, yes. Okay, so to access the event visualizer, you all have your DHIS instance that has been shared to you, all of you, guys, into different communications. So you have academy.demo.dhis2.org slash tracker underscore use demo. So that's where we're going to use. So as you always know, as you all know, to use DHIS, you need to have a user name and password. So I'm logging into my, using my user name and password. So from here, this is the dashboard and you are familiar with this interface. So to access the event visualizer app from this magic in your right corner, magic button, where you can search apps. You are going to type in the event visualizer. So you can obviously the event visualizer, you click on it. After clicking on it, we wait a little bit. We wait a little bit. The network to load the interface. So in this, oh, so do you still see my screen? Yeah. What do you see? Yes, I can see. What do you see? Yeah, the event visualizer is now open. Adolf, we can't hear you. Okay, so I'm not sure what is happening with my laptop. Let me use my colleague's laptop. Do you hear me? Yes, we can hear you better when now. Okay, so let me share again the event visualizer. Okay, so do you see my screen? I hope you see the dashboard. So let me go back to the event visualizer. I click there. Then from the event visualizer, as you can see, we actually have three parts. So we have the left side part where we have the possibility of selecting chart types where we can select data by choosing from the programs. So which programs you want to use for our event visualizer. So we can also be able to select variables, available, and we can also choose periods. Also organize, there are also a number of different data dimensions that has been said. So late, but for the sake of this presentation, we're going to limit ourselves combining the three main dimensions. So but also on the left side, on the right side, you can see there are quite a number of tools to be used to manipulate and around with the output from the data visualizer app of what we have set in there. Hello. Yes, we can hear you now, but you can't see the screen. I'm not sure what is happening with this network. So let me share again the screen. Do you still see the screen? Yes. Yes. So if do you all see my screen now? I hope this time it's going to be all right. Hello. Yes, we can see. Yes, we can see the screen now. Okay. So after this quick overview of the data visualizer interface, I hope you all understand how we're going to be using this data visualizer app. We understand the all buildings. If I can say building blocks, different sections, tools, and how to use them. So now what we're going to do, we're going to go step by step, see practically how we can explore it, we can use this event visualizer. Assume we want to do our analysis, for example, do analysis, trying to want to see, for example, people have been vaccinated for AstraZeneca, probably those who have received those first dose and second dose. For example, of this year, this is how we shall proceed. So as I said, you want to see people have been vaccinated for COVID. So looking at our, maybe first of all, let's choose a chart type. As I said, you have different chart types. But for the sake of this demo, let me use the first one, the default one. As I said, I want to develop to create a chart combining people who have been vaccinated for AstraZeneca. So it means I'm going to use this vaccination registry and the vaccination registry has a single stage. And I select the vaccination. My intention is to create a chart that displaying people with the first dose and the second dose of AstraZeneca. So this means I'm going to start through these selected data items looking for those. So the dose, we have them in two number of those, those number. So I select that one. I also, since I'm interested to see those who have been vaccinated for AstraZeneca, I should also filter out the name of the vaccine, the name of the vaccine. Then I select that one. I'm excited to see which period do I choose with regard to periods. I think this is your most familiar with it. We have, we can use relative periods or fixed periods. We can also use start and end dates. This is when we want to come up with our own period. And let's keep the relative and fixed periods. So with, and as I said, you want to, for example, to look people who have been received first dose and second dose of AstraZeneca. Then from here, it means instead of selecting 12 months, I'll be selecting, I'll be selecting this year because I want to have the annual statistics. And which area, for example, I want to select this time. Let's say I may decide I want to see the whole country. If I want to see the whole country, I can leave the whole country. If I want to go to any level, their choice offers different selection options. So I can decide to use the user organization unit. This means while people, while the system administrator creating my user account, this application, which level did he assign me to? So if I choose this one, it means by default, the application is going to use my user organization unit. If I choose this user sub unit, so it means this option will instruct the system to directly choose the first level below my user unit. If I choose this user sub two units means the second level under my user, my organization unit. But there are also different possibilities of choosing different possibilities to select all units by whether selecting levels or selecting all unit groups. But let's say we want to use, as my user role is assigned to the national level, let me select, for example, request the application to focus on two levels under my user unit. So I have to tick here. So this is quite like a few parameters that you need to produce your event chat. I hope you are following me now, right? Are you there? Yes, we're following you now. So after you set up all your parameters in your left side and choosing only selecting the system, the chat type, you come to this toolbar and then you have to click on the update part. So clicking updates, so it means the system is going to try to look at what kind of graph is this. So if you look at the graph, you see the chat is actually displaying all vaccines that has been administered in all sub by two units. And my intention as I started, my plan was to only focus on AstraZeneca. Those people have received first dose, second dose of AstraZeneca. This requires me to go back into the data and filter out doses that I want. So I want people who have received those one and those two. So as I select, oh, I filled out what I want, the variables automatically populate in this area. So then I also have to filter out AstraZeneca as I mentioned before. So here among the list of all antigens are administered in this area. So I only want to display how to look for AstraZeneca. People have received first dose and second dose of AstraZeneca this year. So then I update my... So depending on the capacity of your server and the connection, the system might be fast or slow. So if you look at our chat, it doesn't really... It's very difficult to interpret. So DHIS gives you further options to better present and play around with the layouts of your chat. So on top of this chat, you can see there is a layout tool. So in this layout tool, you can say, I want to... I'm not afraid to see periods in the category dimension. Probably I want to see all units. I want to see all units as data dimension. Also I also want to see... Because I know I have selected single dose, single antigen, I may say probably I want to have doses into sales. So then after deciding so, I can easily also update the application to see if I can have... If I can say a very easy to interpret chat. I'm sure you all familiar with this arrows. This arrow allows you to hide a little bit. The left side of the event visualizer for you to have a good view of the chat produced. If you look at our chat, this is a very nice chat that you can produce. So have you seen? We have the chat displays. People have received first dose and second dose of AstraZeneca in this year. But when you look, it's very difficult. The chat is okay, but it's very difficult to interpret. So as I said in this talk bar, it gives you... Continue to give you options, different options to... Excuse me. To better present your chat. Let's say... So here, apart from the layout, we have also the option tool whereby you can also pray around with your chat to make it more informative. Let's say we want to to hide the empty rows where there's no data. We want to we want to, let's say, to sort this graph based on low to high, for example. There are quite a number of features that you can play around with. Also, for example, you want to give titles or names to this domain axis and range axis. For example, domain axis, you can call it doses and no, no. The domain axis are location and the ranges are doses. And probably you want also to give... So let's first of all update this one. I see how it looks like. You see after after sorting, this is how a chart looks like by all locations. As you can see, our Y axis are doses and our domain axis are location. So this is one of the options that maybe decided to use while presenting your chart. And this helps you to see which facility or which org unit is best performing because you are, you have sorted out your org units from low to high. So whatever is at the end, it's a sample. You see it's the best performing unit. So that's one. You can also, from the option, decide to give a name to this chart. If you look downwards, downwards, do you see my screen? Hello? Yes, yes. Yes, yes. Okay. Are you only two who are seeing my screen over there? So I can see there are quite a number of participants, but I can't hear you saying yes or no. Yes, we can see the screen. Yeah. Yeah. Okay. If I take a time to say yes, but not playing music. Okay. So then downwards, you can see that is in the general section where you can easily decide to hide legends. If I click hide legends, then click updates, the legends will disappear. If I decide to bring them back, I can just take care and I forgot to mention the very good things here. If for example, you don't want to have space between two bars, so you can also take care from there and your bars want to be close to each other. So you can still pray around with all these functionalities, but let's say they try to give a name to our chart. You see our name by default comes with the name 2021 is ZD1222 AstraZeneca. So you can decide to rename it as we want and call it COVID-19. COVID-19 people vaccinated AstraZeneca. Let me probably add the prefix C19. So I can also decide to hide subtitles and then click updates. As you can see or read from the chart title, the names, the name of my chart has been changed. The legends are still there because I have brought it back. And this is, if I can say, when you are done with your chart, of course, you might be, you might be one to use it later on. So you can decide to save it. So saving, you have to, from the favorite, to decide to save. This is the known steps. These are known steps. So you save it, probably call it COVID-19 AstraZeneca and I save. So it means anytime if I come back, I can still trace back and find out and open up my chart. If I don't want to save it, the also, the HHS allows you to download it for, let's say, want to put it into PowerPoint. You have a meeting somewhere, your meeting, your stakeholders, supervisors, and whoever. So you want to use it into PowerPoint. You can download, there are multiple options, whether you donate it as an image, as a PDF file, and so forth. Download. Let's say, let's download it with as an image for our beautiful presentation. This is how it is going to look like. So I know I have been talking too much. So I just want to hear from you if you have any feedback, comment, question before I start a new, a new demo for you to better understand. If you don't, I can quickly jump to the second one, but let's use this few minutes to hear from you guys if you have, if you have something or if you have anything, an issue regarding to the steps. So to ask questions, you raise your hand and we allow you to speak. If you understood everything, it will be okay for me, but if we still have somewhere where we can try to explain a little bit, let me know. Hello? No question? I assume there's no question. Okay. I assume you all understood this. Oh, let's see from the chat. How do you, how do you determine which data should be in rows and columns? Okay. Thank you, Ivan. Deciding whether you are putting this into rows and column, it depends on the kind of what you want to share because here, remember, we are not producing the charts for ourselves. So there might be a very needed information that has to be backed up by facts. So it goes to columns. So this is mostly dictated by the output you want to produce from the system. That's what I can say. Thank you. So I see, so you should crap for yourself. I can hear and see that you have understood most of the steps. And also, I'm very quite happy that you all managed to follow this fast demo despite constraints we faced, internet connectivity connection issues we had. So let's say we want to do another chat. For example, assume we are into the COVID surveillance and probably want to to have to see people with the positive results. For example, who can tell me when you are here? How do we start? Where do we start? Can someone probably summarize this? I'm here. I'm not sure if you see my screen. Where should I start? Go to favorites and then open anyone. You say hit over so that you reset. And then hit a new to reset. So thank you very much. So let's say I want to produce a chat. Of course, not really not not focusing on vaccination. Better looking at the people who have been tested and tested negative, right? Opposite. So what should I do? I first of all have to decide which chart type I have to use. What would be the chart type? Can use a pie chart. So let's say he's suggesting to use a pie chart. So then I want to see into COVID surveillance. Which stage do I look for? Lab result. So I look for lab results. So into lab results. I want to see what I want to see those who have been tested negative and positive. So I look for lab results, lab results, lab test results. And then from here among the filters, I should do what? I'm looking at those who have got negative results and positive. So let's say the period. I'm also still interested to see data for this year. And organization unit. Let's say do I have to keep all these ones or we want me to change. With a pie chart, I think you need to select one org unit. Okay. So let's say I select Laos as my org unit and update my what do you see? You have to change the layout so that it can show the categories. The category should be the lab result. So then I go to where? To layout. And do what? Bring the lab result to the category section. What is happening? I think we filtered negative in the lab results. Let's see. Let's see. We have in the lab results. We have negative and positive. Go to the layout and put the period or the org unit in the series section. Okay. It's done. Because you only have one negative. So it's very small. Any finding? You only have one negative out of 1000 something. So that's why you cannot really see it, I think. I think the graph is the same. I think it is reflected the same as the results. Yes. Yes. I was doing so just to try. So it's always good to try to use as a request. But actually, since we have very few numbers of negative results, that's why you see our pie chart. The negative part is very, very, very small. So you can't even know. So that's why it is. But if you have a macro, let's change to the period. The period last year. Let's keep everything and see if you have pie chart now changes. The color changes, right? So we wanted to display the all possible results and see what proportion of results. Yes. Thank you. Well, I was asking you maybe if we change instead of the pie chart to change to a different. I know the results are the same. Yes. Thank you. We were we were creating the pie chart. So my question, how would it appear if we change to a different chart type? So you want to change the chart type. So let's say if you click on any type of chart. I can see there are people who have asked. One of the days, please remember to go to your Mudo and input the word of the day today. Hello. You hear me now? Yes, we can hear you. Okay. So sorry for the internet issues. So we are now moving to the next item of today's agenda. As we are looking at the use of of maps, the app to do analysis of this event and truck data. Allow me to share my screen again. So do you see my screen? Okay. So in this second topic, we are going to look on how we can use the maps app of course to do event layer, use event layers and track entity layers to call out truck data analysis. So starting by event layer, we shall be looking at how through the maps app you can do your event data by starting describing the maps app for you to understand what are the key parameters to key features to use for you to configure or for you to instruct the system to produce the map for your need. We shall also discuss of course some limitations of the maps app, what is working and what is not working. And also we shall also have, if I can say demo, step by step demo on how to use the event data and truck data to produce maps. So in this session, I know map has different features and different layers, but in this session using dealing with trucker data, we shall be looking at how to use the thematic layer, how to use the event layer, how to use the truck entity layer and also boundaries layer. So unlike the event reports, the event visualizer and the maps allows you to, of course, to combine aggregate to use aggregate or trucker data, of course, into a single map. This slide tries to show you how you can use the event layer, means that how you can plot your event data on a coordinate. This means if you have been collecting the event data, also collecting the locations for that very specific event, there you'll be able to produce the maps using the event layer. But if you have been not collecting the event location or coordinates, it won't be possible for you to produce. So the image you can look there, that's the typically the image that you shall be producing very soon for you to see the beauty of these DHS maps, specifically the event layer. We shall also be looking at on how you can establish the relationship of cases and contacts. But at this time, the maps has still has limitations, especially establishing the relationships between the contacts and the index cases. Because as of now, the maps doesn't allow you to do like a contact tracing through the relationships of let's say we have two programs, and probably one person is registered into contact program. And while the index case is registered into case program, so from there, you can't DHS is not yet ready to support those contact tracing or relationships. But for the relationships inside the same program, we shall be able to produce them. Of course, the thematics, the thematic area allows you to use the aggregates in two forms, whether using program indicators or using aggregate data elements within a tracker or event program. If you want to use program indicators, of course, you have to have them configured based on the definition you want. And if there are data elements as we are creating programs and event reports, as you know, we have indicators and programs that we can rely on to produce data, of course, using thematic layers. So I won't talk about boundaries layer because the boundary layer is simply to instructed to take to the system. This is the area of my focus so that the system can automatically generate the boundaries based on the area of interest. So let's start, I hope you still see my screen. Let's go back to our DHS instance. I will start by reminding you how do we get, how do we get this event level coordinates? So as I said, every time when you are reporting events, if you want to use maps as a functionality, so you need to make sure that you're operating the event coordinates. Let's take an example of COVID case management to see how we can exploit this event, how can we collect, for me to remind you how, where and when to collect these coordinates before we use them for maps. So let's go to this event capture. So you wait a little bit as the system is bringing up the interface. Excuse me, who can't hear you? On your data collection tool, if you haven't been collecting coordinates, so it won't be possible for you to produce an event based map. So if you can see from my screen here, we have actually where we are collecting coordinates for the events. So these coordinates are the ones we use, we rely on to produce them up. So if you haven't, so for the events that don't have these coordinates, we won't have them on our map. So let's now practically start see how we can produce our map based on our events on our data reported. So what do we do? We go back to all from this search app. We look for the map. So we wait a little bit as the network is bringing up what you want to see the interface. So from here, let me start by explaining the interface of this maps app. If you look at on your left, so you shall see different maps format. So you can feel free to navigate from one to another, depending on how you want your maps to look like. So these are all built in features. So you have also the button plus button here. Where are you? The button that you used to decide which layer do you use to produce your map. If you see the automatic area that I've been talking about, there is an event layer thematic is only for aggregate data. And we have the thematic for events means that here we shall be dealing only with the events related data. Track entities, it's where we is where we're going to be dealing with the track data. It also has facility. This is also another layer. So if you want less, for example, to display facilities on your map, we have also boundaries. So these are mainly the layers that you shall be using in your daily map production. If you have been requested to do so. So apart from the layers, we have also the if I can say the display zone. This display zone, that's where you are going. The system is going to display the map you want based on the parameters configured. So of course, you can see from the top here, we have under file where we can do our, we can save our map where we can refresh through this in you. It means we are refreshing whatever has been displayed to refresh or to start from fresh. Also, be able to save, be able to rename, be able to share, and so forth or delete. And there are also two downloads that helps you to download your map as well as when done with configurations. Let's take any question up to now. Anybody has a question? Hello. Who are you? Hello. Yes, do you hear me? No questions to continue? Wait, yes, continue. Yeah, please continue. We can hear you. Okay, good, good. So let's say we want to produce an event, a map based map whereby producing, for example, we want to see people with lab results, for example, of their COVID tests. So of course, we shall start by creating boundaries. Let's say we want to, we start by adding layer and then we add boundaries. Let's say we want to, with boundaries we want, let's say we want to use second below boundaries, second below boundaries. Then after selecting, so there are different ways of selecting boundaries. Before jumping to there, let me unselect this one. So there are multiple options. So you can decide, you can select your boundaries by directly choosing among this drop-down list or this list of organs that are here are displayed. You can insert the system to generate boundaries based on levels. So there we choose, let's say this script. If I say this script and I click add layer, the system is going to, to display boundaries based on this script. If I say no, this one I don't want, I can delete it, remove it. And probably let's say I want to add boundaries based on, let's say group, probably a based on a group of, of what, of districts, let's see if they are there. Let's see if we do have shapefiles for them. But for those who don't have shapefiles that are already imported, you may not have those boundaries, but those boundaries are already in the system that they shall be displayed directly. If you look here, our boundaries are there. Do you see my boundaries there? Let's change the look from there to this one. So you can see the boundaries are there and so forth. So there are different ways of selecting boundaries. Apart from groups, you can say let's choose, for example, two levels before and under my user org units. Then I click add boundaries. Let's see what comes up. Okay. Okay. After adding boundaries, I have to add in the event as I said. So adding the event, I have to select in the event layer. Then from here, I can choose which program I want to use. As I said, I want to use COVID case based surveillance. I choose that one. I want to see people with a positive or bad results. Lovely best lab results. So they're going to be used to be able to map or to plot these events on the map. So of course, I shall lie on the event location. So the event status, the HIS offers you also possibilities of choosing whether if you want all reported events. If you want active events, completed, scheduled, overdue, skipped. So those are the possible filters that you can use depending on the output you want. So for the sake of this demo, let's keep all. Of course, after selecting data and filters and whatever, so you need also to specify the period. For this demo, so let's, for example, use this year as we've been using. So I have to select this year, for example. And then with regards to all units, I select what? For all units, I can select two levels under my user unit. And that's it. So it means if I select one of these ocean, so it means I can't select the left spot of the audience list. So there are also filters. So I can also add filters. For example, I want, as I say, I want lab results to be able to select two filter. These are positive or negative results. Let's say here, I'll be filtering from the list. Positive and negative. I can also be decided to use different, probably also use, for example, limit my filter based on the, on gender, for example. Here I can add instead of having this one, I can change and use, for example, gender. They have six in here, for example. I use one of one to see female and men, for example. Then I can also change play around with a with style, choose the color. For example, if I want to use this color, then what else? So before maybe going too much, I can add layer and updates. Let's see if I have something. So you see how my, my, my, my maps looks like. So this is a map of all events deported in this, by, in the selected all units. So you see, as I zoom in or zoom out, so as I zoom in, when I zoom out, you see the, the system tends to combine all, to combine all events into a very big, into a very big dot. But as I zoom in, so the system starts splitting out into a separate focusing to, trying to show me single events and where they are reported. Let's say if I go back and one, for example, to, let's say to add more fancy thing, I can go back to any player, for example, and probably among filters, I can say, or instead of filtering by gender, probably I keep, let me first drop this one. And, for example, use results, results. I want to see positive, for example. But among these positive, I just want to see, for example, I want to see among the positive to see how many, how many were, were, were female and how many were men. And then from, it means I want to use sex here, and then update layer. So it means automatically the system will adjust my map and present it into a different way with some little bit of fancy colors and whatever. So let's wait a little bit for the system to display. So if you look at the legend here, if you look at the legend here, you can, you can see that the system has added a little bit some fancy and colors to, to be, to have like a, a, you know, color as always talks much than once. So you can see, if I zoom in, you see the system, as I say, is trying to split, trying to, to plot events where they have been reported, but also still keeping me like in the format of a pie chart showing me how much at what proportion is the female positive case and the male positive cases. So when you are happy with your map, so you can say, okay, I want to save it. I, you can say I want to, to save it for, for, to use it later on. So you can come here and save and probably call it event map, COVID-19 event, event map, looking a positive cases started by, by gender. For example, so if you have this crucial, you can add this crucial here for your map, you save it and that's it. So you can also next time if you come back, you can rename it, you can share it, you can add it to dashboard. So there are different ways of doing so. So you can also download it. This is a generally, if I can say in general, the, the data analysis using, using event data so this is generally the, the major features of all the, the, the maps up with regards to doing data analysis, tracker related data analysis. So the key things to, to note here is to know how to manipulate these events and systematic area in the boundary area. So we haven't covered facility layer, but this one you can try it to our own. So if you don't have any other question, I can directly go to, I'll show you how you can use the, the track entity layer. Any question? So I assume there is no question. So I can, there are questions, there are questions in the chat. It's like I was asking, in the chat, let me see. So if you want to add an external map, how to do that, please? So if you want to do an external, an external map, as I said, let me, here this one. If you, if you look at my screen here, these are, these are possible maps and what I can call already connected to, connected to the HIS, GIS maps. So there are all this OSM detailed map. There is this row being rowed. So there is this, so they are, these are only supported external maps, but if you want to do your own mapping, so you can still export this event level data and probably do your, your map, produce your map in your GIS to GIS. Also the other possibility, the HIS allows you to, through the APIs to link up to any external map. I think that's more advanced, so you, you may not cover it now, but with the HIS through the API, you can still through the API because the HIS is currently supporting is, now the API allows you to interpolate with any GIS professional application for you to produce some more advanced maps. So with regards to what's, what's a lot of patience asked, what if I want to show two, two, three different stages in the same map. Okay, so the map, you know, map is just calorie. So let's say you have started your system to produce a map of this in GIS. So you can't produce, you can't produce a map with two different, or you can't, you can't, in a single map, you're only allowed to have one indicator. So you can't have two different indicators. That's what I can say. How do you tell how many, how do you tell how many are male and how many are female in that? Okay, let's see if I can bring back my, my map. Where is it? So with regards to being able to identify among these split figures today, you see it's, you can only, because here you are mapping, you are mapping your, let's see, here you are mapping your, your, so the system is mapping all your events in this, but trying to, to style. That means labeling or showing how many are the male, how many are female. So counting here, if you want to have a count, I haven't tried that one out, but you can still explore the possibility of, but looking at here, the system only simply displays the total of all cases that meet your selection fit as criteria. But let me see if there are possibilities, but you can show table, showing table, let's see if there are possibilities of knowing how many are male, how many are female. Actually, because it's an event base, so it's not actually aggregated as such, it's being aggregated to be displayed. So you see, apart from looking at the, the graph and then on the charts, no, no, the, the map and be able to tell a proportionally how many, what is big or small. But you can still explore and see how you can produce that one. What else? Can you have GPS coordinates, especially on the map? Unnormance on the, okay. Can you have? Yes, but this is what I have explained before starting. So you see, whether an event, if you are, you are importing an event and collect coordinates, those are the coordinates that we are relying on to plot our cases or our events on the map. So if you don't collect these coordinates, so you won't be able to produce this kind of maps. So let's go, so you will start, continue to ask your questions on the slide. So we can answer them from there. So let's continue with the, the next exercise. Let's say you want to, so to, let's clear this one. So you want to, so to, to use the truck entity. So here the event is only mainly for the event related reports. So for the truck entity means that refers to the use of trucker programs. So let's, here we are, we select, so we are tracking because that's why you see here we're tracking a person, tracking a person through which program. Let's say we are trusting, person, let's say through contact tracing, which pro contact tracing, program status or let's say you want to see what are the relationships here. If you read properly, they are giving you a warning. This is an experimental feature. So it means it may work as you want or not because it's still under construction, but it's there for, you're trying to promote it for you to collect more feedback on it. So feel free to, to play around with it and share with us more, more feedback to make it, to make sure that it's improved and respond to a need. And to profit this one, so you have to click on this product entity relationship. Here as I have explained it to you before, this relationship feature currently supports the relationship within the same program. So if there are, if there are relationships with another program, those relationships are not yet supported in this. So the reason why it's still marking here that you should be aware that everything, things may not go as you expected. So because it's still under development, this is one of the limitations with this. Of course, producing a map, you need to specify the period. Let's say for the trapped entity that giving you possibility of defining your, your target, the period based on the environment of the trapped entity. Let's say you want to produce a map of cases reported or trapped since, since a given day to today. For example, let's say we are, we want to use since last, let's say cases from January 2020 to today. How do I, okay. Okay, January 2020 today, for example. And they want to know all units. I can use select, select it. Okay, so, okay, let's start with it. Now, for example, they want to know this time. Let's see, I can simply choose only, I don't like red colors. Let me choose twins and layer. So the system is going to, so you see the system is telling me that there are no trapped entity data responding to my selection criteria. So, which means I have to go back and fine tune my selection criteria. Probably the, the, the program have selected don't have a trapped entity with coordinates. Let's, let's go back to, let's say, look, look into vaccination. See if we have collected cases. We have it now. Okay. It has to know that we have lost most of the time with the internet. So let's maybe give me some, quite a few minutes. I won't take long to make sure that we do this exercise. So maybe you have to select the COVID case-based surveillance that has a trapped entity coordinate. Okay, this one. Yeah, that's okay, select that one, relationship. That one, periods. Let me keep that one. All units. I can select, okay. I can select this one, select and set it. Oh, go up to. So let's see if I do update, if I say I get something. Okay. Let's see. So this is what I was looking for. It means this map actually is displaying, is displaying the index case and the contacts. So when you see there is an arrow pointing to, from the green. So the green, the green, the green is the, the index case. And the, the small dark, dark blue, something like that is the contacts. So this is, for example, how you can use this trucker data to be able to, to plot first of all, your, your, your cases. So it helps you to know where there's the whole, what we call the whole, whole sports map. And also be able to know what are the index cases. So when you are registering your cases, you can easily say, okay, this, this, this path, this case is a contact of this index case. So at the end, if you do do, if you collect your data in that, in that way, you will be able to produce these, these maps and be able to know if you have to, to do file investigations, to do a follow up, whatever. So you can see the map, this has a very good, the GIS features that can help you to do index contact tracing. When you are done, you can easily, as I said, you can save, you can save and give it a name. COVID-19 contact tracing. And then you save what it's saying. Okay. You save it. And you can also download it. You can also do whatever you want. So to better assist, my time is over. So I stop from there. If there are quite a few questions, you can ask them. Otherwise, you can keep on asking your questions through Slack, and then we'll respond it from there. Thank you very much for your patience and bearing with us throughout these connection issues that we've been facing. I hope the session has been so fruitful to you. Otherwise, if you don't have any concern, please feel free to share with us the feedback in Mudo. And also, these two sessions have assignments that are going to be uploaded into the Mudo instance. Make sure you try them out and also submit your results as required. Otherwise, this is the end of my exposure. Thank you very much. See you tomorrow or another time. Any question? Over. So if no question, I can give the floor to my colleague, Jean-Paul, to take you through how you can do also tracker-related data, event-related data, but using program indicators and thematic layer. Thank you very much. Hello. Hello, we are the participants. Hello, we are you. Hello. Okay. So I was saying that we are going to continue with the next presentation. This is Jean-Paul. So it will be a session with more practices. So I want it to be more active. Please let me know where I want more clarification so that I can just come back. So the topic would be the analysis of tracker. Here are program indicators using the data horizon and maps. So let me share my screen. Can you see my screen? Okay. So we will go through the following. We will try to define what's the program indicator and then we will see really how we obtain the program indicators. Then we will see the difference between the two types of program indicators. We will see that you have event and enrollment program indicators. And then we will see really how these program indicators can fit tracker data maps steps we are facing now when we are using other traditional tools. We will also, by the end of the presentation, we will see how these program indicators are used to visualize our different tracker data. Of course, we will see the data elements or attributes. The first thing is to understand really what's the program indicators. I'm sure that most of our participants, they know what is the data elements and the attributes. So program indicator is a variable which is computed based on whether that element or attributes or a constant just to help us to aggregate individual data. That's what we call a program indicator. Maybe we will just understand more about what's the program indicator using the following example. You might want to count or to create a variable which will count the number of those who have received AstraZeneca as a vaccine but all those who have received those one. So that variable which is program indicator will help us to count. You see that for this example, the individual persons who have received AstraZeneca as a vaccine or when you are using program indicator to help us to count, all those who have received AstraZeneca as a vaccine, those one is those number. So it will help us to count and give us an output. Of course, at this stage, it's only it doesn't mean that we can calculate this output using our program indicators because we can even calculate it going through event reports using data as an output style. Something we can do it by using the event visualizer by displaying the function sets. But as we are progressing, you will see that this program indicators, they offer more flexibility. It helps us to visualize, tell us to visualize different outputs which can be visualized when you are using data, event reports, event visualizer or maps. So we will see the next slides. Then what are the limitations we may face when we are using the event reports, event visualizers, or maps. It's still when, for example, you want to create an alignment in event reports and maybe you choose people tables as a visualizer type, you can't really create an alignment. Something when you are using an event visualizer and you want to create an alignment, it's not really applicable for event visualizer, even for maps. But by using program indicators, it allows us to perform all those operations using data visualizer and maps. We will see more when we are demonstrating and not where you also will have time to practice. So someone can ask what if it offers those possibilities? Why don't we really use program indicators in everything when you want to do all kinds of tracker data analysis? Of course, everything has advantages and disadvantages. So some of the advantages of using program indicators is that it offers more possibilities when you want to create kind of summaries of events and alignment tracker data. And also, it is used in a tool which is familiar for most of the GST users. Those tools are natural visualizer and maps. And I'm sure most of users currently are familiar with those visualizer tools. That's why even these program indicators were used through these data visualizers and maps. It's very easy for users to be familiar with using these kind of program indicators. It's something which is most of the advantage for program indicators that it offers a number of alternatives, especially when you are configuring these program indicators. Both here are those very analogical AI view statements, the transitive counts and new friends in this. And I want to mention the functionalities which I consider is advantageous. But also if there are some advantages, it's like, you see, these program indicators, they need to be configured. So you see, it is somehow time consuming when you compare it to those options, they make the thoughts and they make you realize that where is the flexibility for every user to just choose and filter the way they want. The other thing is that users can define the requirements, but it's very difficult to what you find here that's near time because, as I say, these programs, they have to be configured. And most of the time, they have to be configured. So users will consume what has been configured when it comes to use the program indicators. Whereas for different reports, show analyzer, when you are using the maps, there is an approximate for every user to filter in the way you want, depending on what you want to display. Are we together? Yes. Yes. Yes. Yes. Okay. So may I continue? Sure. Continue. Okay. Okay. So these are the types of programming indicators. As you have seen during the introduction, we have two types of Programming Kitas. One is the Event Programming Kitas, the Allowance Allowance Programming Kitas. For Event Programming Kitas, these are Programming Kitas which are evaluated event within a particular program stage. And I will come back on the definition when I will be demonstrating the practice. For Allowance Programming Kitas, these are Programming Kitas evaluated across the entire Allowance within a particular program. You see, you may have a problem like maybe COVID vaccination and then you have Allowance and that Allowance may have main stages and each of the stages may have made one event or more events. So when you are using the advantage of these Programming Kitas that are evaluated across the entire Allowance, meaning the Allowance means that it evaluates all stages we will see in practice. So the participants, I want you to know this. When we are using these Allowance Programming Kitas, when it's evaluating, when it is calculating, it's using the most recent event within the program stage. When it comes to any case, one stage has more than one repeated event. I will just be giving an example for the coming slides. Here is an example which may help me to differentiate the Event Programming Kitas from the Allowance Programming Kitas. You see, for example, this person, this trend, it has two events. For the first event, this is actually there is one stage, Love Request stage. You see, for this first event, we have one Love Request, but also for the second event, you see that there is another Love Request. So as you have seen, when it comes to be an Event Programming Kitas, it counts a number of event past states. You see this definition for Event Programming. That's why we have said that when we use the Event Programming Kitas, the value will be 2 because it will count the two events in this state. But when it comes to be an Allowance Programming Kitas, you will see that the value will be one because these are repeated events. So it will, and we have said that when there is a case, and when this program is counting, and two stages, a stage which has more than one repeated event, it will count the most recent event. That's why we find that we have Allowance Programming Kitas by this one. I mean, when we will be demonstrating through the system, you will see the difference. Now, this is another Allowance Programming Kitas example. Here, I want just my Programming Kitas to calculate the number of specialized cases when the most difficult case result. You see that this indicator, this Programming Kitas involves about three stages. There is Postalization Stage, there is a Lab Request Stage, and there is a Lab Result Stage. So we have said that when it's an Allowance Programming Kitas, one of the features is that it will count the entire Allowance. It will control all the stages of the Allowance. You see, it's counting, for this stage of sterilization, it will consider this, and we have said by definition that the Programming Kitas is a variable which is computed based on the attributes of that area. You see that for this stage of sterilization, it's counting this Australization. For Lab Request, it's counting this particular, I mean, this Lab Request, and for the Lab Result, it's counting this element of Lab Request. So, then you may see here the Outputs. This is an example of the Output. And we have said that, as I have requested to note something here, you see that for at this stage of Lab Request, here we have two same events which are repeated. So, the fact that those two events are repeated, this Allowance indicator is the one already counts the most recent event. That's why we will see that we will have this Output. I will see more in our demonstrations. So, dear participants, I hope we are safe together. If there's no questions, you may allow me to proceed with the various demonstrations. Is there any question before I proceed with the demonstrations? No question. No, no, no, no. Are we still together? Yes, we are together. Okay, okay. So, let me put to last your audio. No. Do you hear me now? Let's proceed with our demonstrations. Well, we are going to start by visualizing. We are going to just create a pivot table. An event program and then we proceed by doing visualizing program indicators. But I just want to start by showing you that we may visualize those program indicators even by passing through the pivot table. Just we will start by this app, which is called Data Visualizer. And you will see that when you open this app, which is called Data Visualizer, there are different options of visualizing data. We are going to start by using visualizing type or by visualizing data using this type, which is pivot table. And maybe they choose for data, I just want to choose they choose maybe a program indicator because now we are design program. I choose here that type will be program indicator. Maybe I want to use program, which is called Vasilegistry. You will discuss the output. So you will find that we have many programs. We have COVID vaccination registry. We have case-built surveillance. We have contact registrations and follow-up. Let me start by using this COVID vaccination registry. And for program indicator, these are all these are program indicators. I just want to display those with underlying conditions. So if you want, you see we have a list of main program indicators, but I may just like keywords to see that among the longest, I may remain with what I want. So I want to display these underlying conditions. And the period here, let me update. Then I choose my period. Let me choose maybe last six months. By default, it was last 12 months, but I want just to display that for last six months. Then I update. Then what's remaining, I think most of you are familiar with what we call dimensions. Let me now choose for organization units. I just want to choose organization units for organization units for level two here. I mean, let me use this one. And I update to see what will be the output. Now, let me organize my table to see what will happen. I just put period here. Okay. I think you see the output. Hello. Yes, we can see. Yes, we can see. Yes, we can see. So you see that this underlying condition is a program indicator, which is helping me to visualize. This is by facility. So it's helping me to visualize a number of cases with underlying conditions by facility, by period. You see that you may just view what you want to view. Maybe you see that for this zero two for from from cell, they have had 36 cases in May with underlying conditions. And I just want you to observe one thing. You see that we have said that when we are using an automated program indicator, when it comes to be a predictable event, it only counts the most. You see, for example, here, where we have 36 or where we have 25. When we use the underlying conditions, but which has been configured, there's an event program indicator. We'll find that where there are more than one repeated events, all those repeated events will be counted. I just want you to observe this thing. You observe what I have here. I'm going to configure this. I'm going to change this program indicator, which is underlying conditions. Then I will just the event program indicator, same which is underlying conditions, but which has been configured as an event. You will see what will happen. I just want to change that. Here is the program indicators, but I just want to use the one which has been configured as an event. You see they are the same, but I just want to change. So the difference between the event program indicator and alarming program indicator, you will observe the changes. This way the bits may be on the network. Can someone just observe the changes? Just one person to let me know if you got the changes. Have you seen that here I have big numbers when you compare to what I have had when I have used the underlying condition as a program indicator, which is configured as alarming program indicator. Because alarming program indicator, when it comes to calculate and when it sees that this event, the repeated event in the same stage, it doesn't count the two or the three same events. It only counts the most decent event. That's what I wanted to understand. Is it okay? Hello? Yes. Okay, okay. So let me go to the second practice. Now I'm going to create a chart using program indicators from different program stages. Because we have said that when you are using alarming program indicator, it doesn't only count one stage, it counts all stages within the same alarming. So I just want to show you. Let me just start by opening this data visualizer app. And this time I will change so that you will see this kind of visualization. Maybe I'm going to use line charts here. Let me see. Let me use line charts. And for better type, let me use a first program indicator. And for programs, as I have said, I want to use a COVID case-based service program. And for indicators, I just want to show you how this alarming program indicator can be used to calculate a variable which will visualize more than one program indicator from different stages. So I will just here use three program indicators. One will be COVID symptom present. Let me write just a keyword. I just want to use all those three program indicators. COVID-19 symptom present, COVID-19 symptom present there. COVID-19 symptom present recovered. Then you will see that you will be able to display or to compare how many cases I have had with symptoms among those maybe or how many cases I have had recovered, how many cases with symptoms who died. As I need all those three program indicators, let me send them to the other side. And I update. Maybe for the period, let me use this here. And for all units, I will use let me update first. For the period, I just want to use this here. Then for all units, I want to use this secondary for all units. Then we can see what, how things are displayed. Maybe just organize it. Let me do this. Let me do this. Yes, Juan, you see how, no, let me Okay. The participants, I think you see how by using this program indicator, allotment program indicator, you can really visualize your graphs by using different types of generalizations. Here, I tried to use line graph and I'm comparing the three program indicators from different stages. As you see, I have those with symptom present. Those actual, this first line is with the symptom present. The second line is those those who came with symptoms, but they have been covered. These lines for those who have had symptoms and they died. I think you see how this program indicator really helps and it gives more flexibility as we have said during the presentation of theories. So, dear participants, if you have some questions, you may just ask. If maybe there's no question, I just want to show you how we can turn, maybe how I can convert this chart to a preview table and you will see that this type of table will not be really very easy to create those kind of tables using an event report of event visualizer. How to turn this chart into the table? You just change here. You have seen that I have used line. Then I'm going to use this preview table. Then I update. I think you see very well how there is a much flexibility when you are using this kind of program indicators through this data visualizer app. Are we together? Hello. Yes. Yes. Hello. Okay. Okay. So, please, I think everyone have heard. You have download. Hello. Yes, I was saying that you have to repeat. I just want to know if yeah, I just want to know if everyone has a guidance guide for program indicators analysis. Hello. Yes, I, you have, we can say yes, I want you to do the first exercise. Okay. For 10 minutes, then you can come back. Okay. Okay. Let's take five because we don't have time. Then try to do the first exercise on the learner's guide and then after five minutes, we'll come back. Please, when you have any challenge, please write us an obvious letter. Okay. Jean, I think we have a hand from Taddis. No, it's just say that I have finished. Thank you, Monique. Okay. Okay. Okay. So, now, then I just want to, I just want to show you how we can use map. And via map, we can create a map using a program indicators. And I just want to show, just want to show you some outputs. And I'm sure you will be more interested. And through your practices, you will see that program indicators may give you some additional possibilities. So, read, shift from data visualizer up to the map. I'm sure you have gone through all things regarding the map with Ado. I just want to create this map by using thematic layer. And for data items, I just want to use program indicator. Then for program, as I said, I just want to use COVID-19 case-based evidence. Then for program indicator, you see that you have main program indicators. We have a list of program indicators. Let me use, let me choose suspected cases. Suspected cases. I just want to see if I will find some suspected cases, suspected cases. I just want to display by using map, those suspected cases. I saw it somewhere. Okay. This is the indicator I wanted. So, let me add the layer. I just want to show you how you can add the layer. Then you come back for edit. You just come back here and then you can make some edits once you want to add something. So, I want to choose periods. Here, my period will be relative and I may just keep this relative of map. And for periods, let me change to timeline. And for all units, I will come back here to edit. Just make sure that everything is set. So, for all units, you see the first view is the country. The second review, let me choose maybe for second review of units. Then I add my layer here. Then for filters, I may leave it then for style. You may choose one of the available style. Let me choose maybe this one. And for colors, for regions, let me use single color regions maybe. And I think now I'm done. So, you see the objective was to display. Let me add my regions here. Here, the objective was to display this map. And remember that our indicator is the number of suspected COVID cases. So, you see that the bigger the more you have a high number of suspected cases. So, you see that you may display this kind of program indicators depending on what you want to visualize using even these maps. Any questions so far? Maybe in the learning guide, this map should be a timeline map. Can you show us? A timeline map? Yeah. Okay. You mean this map should be? Timeline on the page, on the page. You see display here. This is when you choose to be timeline. This is how it looks like. And when you choose timeline, maybe let me show in the same time so that I will not come back on it. When you use this kind of timeline, you have additional flexibility where you may play this map. You see that when you click here, you see it shows you the evolution of cases over time. Let me start this. Of course, you may display this when you want to display a map, how cases have been changed over time. I just want to play it again so that you will observe how the cases have been increasing or decreasing or changing by facility over time. Let me start by November. You will see that cases have been increasing and one, like here in March, you see that cases. We have had many cases. So with timeline, it helps you to see the evolution when you want to play with this kind of card. And you may also be able to download this card. You can download this card and you can choose where your region should be. Then you can download the card. You see this is the card. You can open it, with maybe paint. Then you see here, there's the card you can do what you want with this card after downloading. Okay. So we should go through many demonstrations, but due to the time constraint, I think maybe tomorrow we may have few minutes to do some demonstrations before we proceed. I may maybe stop by here and then you just ask some questions or some comments. Then I pass the floor to the moderator of the session so that you may continue. Is there any input or comment? Okay, okay. So now the floor is passed to the coordinator so that she can proceed over. Thank you. Thank you, Jean-Paul and Adolphe for the very good presentations today. I'm sure the participants had a lot to learn from them. Just a kind reminder, we do have assessments from today's sessions. They're available in Mudo. Please do go to your Mudo and have your assessments done and do provide your feedback as well for the day. Once again, we'd like to apologize for the technical interruptions, but we do appreciate your sticking in there and being available for the sessions, even with the interruptions. Yeah. So please do fill in your feedback. Please do your assessments. Tomorrow is day five, the last day. So we'll be having an exam to be done tomorrow as well. So if you feel like you need to do some preparations, please do some preparations for that as well. The word of the day once again is, the word of the day once again is spike vacs. So please remember to register your attendance as well. Kindly go to your Mudo, go to attendance and input the word of the day, input your feedback and do your assessments as well. Thank you once again for making time for this. For those who still have questions from today's sessions or yesterday's sessions or the day before or anything concerning VHIS 2, please feel free to join the Q&A session using the link that Hadidja shared on email. We'll all be there as facilitators and we'll be looking forward to your feedback, your questions and yeah. Other than that, we do wish you a good evening.