 So next we will look at how to create a list in a repeatable stage. So before doing that, what I can show you is like, let's try to see how a repeatable event looks like in our capture application. So let me duplicate this tab. We go to tracker capture, we select the org unit, chw mahasot. And let's take an example from the case based surveillance. What we will do is to sort the people here by surname and we will open this record Angela camp. So I click and open this record. And to be more clear, let me hide the timeline data and revisit and enable tabular data. Okay, so what we can do is let's see what we let's focus on this second stage, the lab request. So here, we are seeing now for this patient. Now, this Angela Campbell has only one clinical examination and diagnosis stage or the event because it's not a repeatable stage. So because of that we have only one record but when it comes to stage two, the lab request, we are seeing more than one events for this stage. So here we are seeing one event for the nasopharyngeal swab and another one for bronchial viral homage. So this is kind of a situation we are trying to demonstrate like for this kind of situation and we want to pull that information out from the DHS to like how it is going to be visualized. This is the situation that we try to address in our next example. So what we will try to do now is to go back to event reports and let's open a favorite and the favorite will be COVID case based surveillance lab request summary event. I click and open. Then you will see this table. In this table, we have, in fact, the same data from the person I showed you before, Angela Campbell, and you will see here the information related to the two events that I showed you in the tracker capture. So you are seeing Angela Campbell with the data of lab request, registration date, the org unit, and the same local case ID having different reasons like first one as a contact of the case and second one is seeking healthcare due to suspicious of COVID-19. And then the two specimens, even though for the PCR coming from different locations. So that's the situation that I mean like this is what happens when we have the same person undergoing multiple events. It is again related to the question that was asked before the break. So if you have the same person, I think this is exactly the situation you were asking. The question came from John. Yeah. Exactly. So this is what can happen. So let's see like if you want to get, I mean get this kind of a visualization, like get all the events from a repeatable program stage, but we are going to do. So what we have to do again is I click on this new right so I refresh the entire table, and I will select from the table style as line list. And the output type still remains same as events. And for the data data dimension, I will select the program as COVID-19 case based surveillance. And the stage as lab request, right. And we again have data elements and attributes so let me select the data elements. So one thing is. No, let me select the attributes first name. Then we have surname. Then let's take some data elements. And also we need something else which is the local case ID, is it their local case ID, right. And we have the data elements where we will be selecting the test reason and type of test and the type of specific. So from here, to get the same output, what we can try to do is the local case ID we can write up so the situation is like now for example if you like let's try to decide the table. Like with this configuration and see the output that we get. And let's see like how we can limit it. Okay. So these are the configurations and let me select the period as last year. Then the org unit as our PDR let's take the entire. Then I click on update. Let's see what happens. So I get a total of 1,507 cases for the entire country for this information. Right. But for us to get that particular the similar output, like, like what I showed you before, what we have to do is we have to type. Like it could be contents or it could be is exact. So let me type ID of that person which was ID 5353902. Then let's try to click on update. You see like we get the information filtered based on the local case ID, which was again that person's ID. So things to note here, the same person can have multiple events in a in a repeatable event and you will and that person person will be counted twice but that is of course logical because we are only counting the events and not the persons because. Let's try to sort it by surname, then we will be able to see like I had some issue with my network. I hope I'm audible now. Yeah. Okay, right, sorry. I was explaining like because we filtered everything by the local case ID, we only had two rows in the previous output but when we removed that filter the local case ID it will be listing out. So I would multiple tests just like the previous example I showed it so here. What we have to realize is this number of cases here request that we have received. So that's what we have to note in a repeatable stage. Right. Are there any questions. And let's try to see how this works when we select the enrollment type out issues, let me hear this first and then try to avoid case based surveillance lab, lab request summary enrollment. Right. So what's the difference in the output that we get here. So here you can see this is a table, which is based on output type enrollment. So you have more or more or less the same. Sorry, is there any questions. In this table, we have the same columns right we had the case ID surname for same and the reason and type of test and the type of specimen. It's just that in this table, we are only counting one person only once right so that's why we are seeing much less number of cases so let's let's see how we can design a table like this. So to do this, let me pick on new, but you're going to do is the table style as my list, and the output type, we will select enrollment. The program is case based surveillance, and the stage again is, we will only take one stage for this, which is lab request. We will select the attributes, the local case ID, first name, surname, that's it from the attributes and from the data elements we will select lab test reason type of test, and the type of specimen. And I will select the period as this year, and then organization unit as. CHW. I click on update. And it's the exact output that we get. We have 18 cases, and you can see here. The case IDs are unique, and you don't have the same person repeated wise, right now, like you can't actually judge by the names first name surnames you can have same first name, surname combination for multiple people but ideally this is just the enrollment is unique so one person or one enrollment should only appear once. Right. So this is like what what it actually does is it's ignoring the other events, the person has gone through. So you have to look at it like this like what we really want to display in this table. Basically, if you are interested to obtain a list of lab lab specimen or lab request, it makes sense to go with events, because like they are the our focus is to know like how many tests were done. More information about the persons who have undergone lab lab test in this kind of output makes more sense, because like here the enrollment means like you are actually getting more information about the attributes. Right. So, what I actually feel is like if you really like, you can do something like this, like, if you want to know like if you have the program stage which collect different types of tests like you okay you take PCR full account X rays, I mean, multiple tests, and if your focus is to know information about people who you have to decide which type of, I'm sorry I had some network issues. Am I audible now. Yeah, right okay. Sorry, I will I will try to repeat last two minutes what I mentioned. So basically what I what I was trying to say is like, so there are limitations to these two types of outputs events or enrollments. Both of these have different use cases. So for example, what you want to highlight is about the different laboratory samples that were done in a particular area or in the country, then it makes sense to use events, because that will be more descriptive about different types of samples, the test and the sample sites, so on and so forth. But safer example what you actually want to know is about the people who have undergone some tests. For example, like you have so many tests that are done under this stage like you will be doing blood counts, UFRs, PCRs, and so many but we just want to know like what were the social demographic factors about the people who have undergone PCR tests. So if that's the case then enrollment county enrollment type of output make make more sense. So this is what you have to understand like so both these use cases like using output type events and enrollments have their own users. Right. So are there any questions related to this about the events and enrollments for repeatable stages. I'll be talking about multiple stages separately next but any questions related to repeatable stages. If there are no questions. Let's do the exercise to in the learners right. So I don't think it'll take too long. So probably we can. Yeah, we can start again in like eight minutes. Shall we do that?