 Okay, welcome everyone to this DHS2 annual conference session on malaria. As you can see, we have a very busy schedule and lots of interesting presentations to go through. So I think... Hello. Sorry. Okay, it's your microphone is working. Okay, great. Thank you. Yeah, so we have a lot of interesting presentation around the different WHO modules on malaria elimination and vector control. We also have a few country implementation presentations around malaria implementations in DHS2. So I think we should just get started. I am first going to start with a little bit of an overview on a project called the Digital Solutions for Malaria Elimination Project. And so I hope you can all see that screen that I switched to now. If not, just let me know. So the Digital Solutions for Malaria Elimination Project, or DSME, is the project funded by the Malina Gaze Foundation, managed by the Clinton Health Access Initiative with partners like UIO, Wide O-Wave and the WHO. So this project has made it that actually malaria elimination has been quite a strong and quite prominent use case around DHS2 software development for the past few years. So it started with the project kind of came out of a landscape analysis done a few years back that was looking at surveillance system for malaria elimination. And it found that there were certain gaps both in the information systems as well as mobile tools. And this was how the DSME grant started to aim to try to address some of these gaps in malaria surveillance systems. So some of the objectives was to strengthen these systems both through improving digital solutions like for DHS2, mobile tools like DHS2 Android and another tool called Reveal. It also focused on rolling out and scaling up all these tools in different countries, which we'll hear more about later in the session. It also looked at more common goods that could be used across these tools, including data dictionary widgets and implementation guidance toolkits. And it also had a community or it has a community or practice, which is a virtual community of about 29 vendors and malaria program implementers who share a lot of lessons learned and best practices across different community meetings. So again, this is sort of how the project was set up with the project management by CHI discovery process, which I will get more into soon by right away technical coordination and implementation coordination again by CHI but with all the other grant partners helping out. And as you can see in the turquoise with the core DHS2 development as well as the mobile tool for case multiplication, case investigation and full sign investigation. That was one of the things that UIO has been leading and and that I will show a bit more around later. So very quick on the timeline for the project. It started with a discovery process where we did that we gather requirements for many different partners subject matter experts implementers country programs WHO. We did deep dive in poor countries, and we then selected the mobile tools to strengthen and also develop a software development role map to this. And after that, we started improving these tools, as well as kind of testing feedback and field testing. And the current timeline that we are in now is going for all the way until end of December, partly because of the COVID pandemic so we have some more time to do the field testing do more iterative software development based on user feedback and also do more monitoring and evaluation which again some of my colleagues will get more into later in the session. So again, this was kind of how requirements were gathered and we're looking at different surveillance processes in the different countries where we did a deep dive and try to look at common challenges across the countries and then have this speed into software requirements both for the specific tools and for the comments. And again, to just mention that, then we focused on on improving DHS to web and DHS to Android and the reveal tool as when as well as some comments, just an interest on time on brushing it through these slides but they are also available on our goal upload them to get after this session. And then again the community of practice that I mentioned, these are some of the partners that are in this community of practice where we have regular meetings and share experiences and lessons learned. But I also wanted to focus a bit on some of the features that we have added into DHS to web and Android specifically around the malaria elimination use case. So over six releases, basically from 231 to 236. So for the last three years, this DSMU product has advocated for DHS to requirements for malaria elimination within a variety of apps and features as you can see, it's been around just enhancement to the user interface. We've fed in requirements to the new capture app or for events and tracker programs, task management around working lists and user assignment was a big requirement from this project. There's been also a lot of different improvements within the analytics apps, including maps, user analytics and data visualization features. And it also led to an improvement of the relationship model so that would be more flexible and be able to link different types of records. So here's a couple of examples down here with the year over year charts, as well as multi access charge is was one of the requirements on this project. It's also been a lot of maps features, including polygons, which is a great way to represent policy and relationships between cases, which we also actually saw was heavily utilized for the, a lot of COVID-19 implementations in countries and we've seen a lot of these malaria elimination features being very generic and being used in other use cases as well. And I like this example because it's an example from a map in Honduras showing color coding live x versus false affirm and then we enabled an opportunity to do the same in details to that you can style the points based on on data values. I like this side by side comparison. And also with androids all the way from the first integrated new Android capture app release up until now. Again, many functionalities have been advocated from from the DCME product, again, including especially the icons and colors that you see in the screen to the left, the working list and some local analytics and indicators per, for example, per malaria case, and many, many maps improvements as well that you saw some of this earlier in the week. Again, being able to create polygons for the full side being able to visualize relationships between cases, and even being able now to navigate or choose how to navigate to, for example, a case or something, all of these to really enable field based follow up and response for case investigation and full side investigation. So, super quick next steps, we're going to continue the iteration around these tools based on feedback from countries and the countries and especially try will look more at monitoring and evaluation and tools around that and I think my colleagues will add more and that later. So, in the interest of time, I will now turn it over to Malanga from WHO, who will present on one of the modules that they've been working on around malaria elimination. So Malanga, please go ahead. No problem. You see my screen. Yes, and feel free to share your camera, your bum allows. There we go. Much better. Perfect. Thank you. Go ahead. Afternoon everybody. My name is Malanga and I will be touching on the WHO standard malaria case based package formula for malaria elimination. Just a brief run through as we all those surveillance is a core intervention when looking at the global technical strategy, especially when it comes to transforming the surveillance systems as countries progress towards malaria elimination, the aim of surveillance is to detect or malaria infections investigate every malaria case direct actions towards inter interrupting transmission and ensure that each detected case is promptly treated and wanted to prevent a secondary infection. So, guidelines and recommendation WHO provides global standards and normative guidance through guidelines and guiding documents just to mention a few we've got the framework for malaria elimination. Main working one under the surveillance unit is the malaria surveillance monitoring and evaluation reference manual, as well as the test procedures for insecticide resistance monitoring in malaria vectors which you'll hear more about from my colleague Lucia who's up next. So this malaria module include and what does the toolkit for the malaria module has. We're looking at two elements here you want to strengthen aggregate and case based data by improving data quality, improving data analysis, and use as well as data driven decision making. The WHO malaria recommendations are standard data elements and indicators are built into DHS to for the national HMI system. So why the need for these tools standardization we, we figured that you need to determine the core foundations of what should be collected, reduce redundancy as well as improve relatability and reliability of data that is being collected, as well as to ensure consistency in data collected by providing standard definitions from our side. These data standards serve as a guidance for countries to assess if correct indicators are being measured, map their data collection tools in country, and review if country definitions and naming conventions are aligned with those recommended by the WHO, as well as identify data collection gaps within the surveillance system. So the next component of this malaria toolkit module is the analytical dashboards, much like what Caroline has touched on and how the community of practice has improved for us with extra functionalities to be able to analyze data more specifically, as well as the net building training materials, which usually come in English and French as well as training guides. At the moment we only have these for the end to module as well as the aggregate module and the next step is to then provide this for the case based module. The malaria module integrates into a broader set of WHO disease surveillance tools for countries to adopt so we're looking at HIV, TB, EPI, and the work so it's not only standalone modules but comes as a whole integrated package. So what is this case based malaria package that we're looking at? We're going to look, I'm going to go into a little bit more detail than for the sake of time, not too much, as I suppose. The malaria case based module has two components. We've got a case notification and a case investigation module as well as the focus investigation. The first part is the patient registration. The next one, the next program stage would be the diagnosis confirmation and treatment, as well as case investigations and foci investigation. What we did on our side is provide the core minimum standards that are required when looking at a case based malaria package for malaria eliminations that countries can adopt and adapt within their own country settings. I think we'll have a look at some of these best practices in the next presentations that are to come. The one stage is the enrollment scheme within the malaria case based program where you have your case ID, where you have basically your basic profile of a patient, where you're registering the date of birth, occupation, nationality, and so on. The next stage will have the diagnosis and treatment stage where there's indicators section summarizes the case, they display the stages as to where you are, the case detection method, so providing key core variables needed to collect your detection method, data on symptoms, case confirmation and status as well as previous history of malaria, date species identified as well as truth. At household level we also provide guidance on the bare minimum that countries need to collect, where we're looking at the date of investigation and GPS coordinates of the event. Recent travel histories in and outside of the country, whether it's a district level, village level, more specific to the country's tailoring of the tool, as well as case classification and any other comments that are related to the case. The last section in the stage includes investigation of the index case at household level, as well as we've applied some validation to increase data quality when looking at certain information that is critical and essential for case based surveillance when looking at malaria. We also have a section on the nearby household investigation, and this is a repeatable stage, and once that entire set of activities is complete, you have our final case classification to the registered case. Like Caroline also mentioned, more features were built around adding relationships, so whether it's a focus to a case, a case to a foci and so on. In addition to the DSME project that Caroline also touched on, one of the main features was the ability to draw polygons within the application, and this makes it possible to draw and visualize foci boundaries on maps and so on. The next step is our focus investigation and what the core variables are that you need in order to basically fill out this section which is always a little bit of a mission as countries had no proper guidance around that. So you've got here your focus status, the main important one is your focus status and your previous interventions that were held out in the previous year within your focus. And then the next section would be the characteristics of the focus that might have changed from the last investigation that was conducted. We also want to know the insecticide resistance status of that focus that the cases had come from. And last but not least we've got your focus classification after all the relevant and necessary investigation have have occurred whether it's over time or annually at the end of the year. And also looking at not only having investigated but what kind of response have we then delivered within this focus when we're looking at malaria interrupting malaria transmission within that section. So let's rounding up in a nutshell what the tools in terms of core data standards have and just moving into accessibility which is mostly what people like to know it's accessibility is the next step is the case based tools will be available to countries for adoption and adaption to augment surveillance processes in malaria settings. So let's look at a timeline of the first release maybe by the end of June, and then subsequently the training materials to then follow thereafter. We've had a huge demand in countries needing this package so then just trying to let it just trying to put it out there for countries to use even though we are in the development of finalizing the training material. There's also underway to work with partners and donors to help countries in adopting and using and maintaining these tools, as well as from outside of the WHO will continuously monitor the up, monitor the uptake of tools and implement any necessary improvements as guidelines change or new recommendations come in. So on that note I would just like to say thank you. Thank you very much, Malengo. Just a note that we've added a added the link to the community practice topic in the chat for you can ask questions I don't know if we'll have time for questions at the end but either way we'll, if we do we'll do it at the end. And then I would like to give Lucia the floor and present on the modules for ento and vector control. Hello everyone. Okay. So, I'll switch to my camera as well. So hello everyone, I'm Lucia also from the WHO and I'm going to be presenting the DHS to standard modules, specifically for entomology and vector control. And these are modules that are complementing everything that Malengua has presented because it's essentially part of the broad malaria DHS two packages. There are case based modules, there is some information about vector control interventions, and these modules provide the ability to collect much more detailed information on the vector control interventions as well as on any entomology surveillance activities. So, I'll see if this works. There we go. So the idea was to transform entomological and vector control interventions data into something that can be used. So there is a lot of information on entomology and vector control data collected in countries in different formats, a lot of it on paper format on Excel files, but because there is no so much analytical capacity and there are no tools to have proper analytics. A lot of this data was fallen unused. So, we developed these modules to help countries to collect and to use entomology and vector control data to also help to integrate this data with epidemiological data and other sources of data relevant to make decisions on malaria control and contamination to centralize or to rescue all of these data that existed in a paper format or in Excel format, and to put it all in one system to see trends over time, etc. And also and finally, to ease global data reporting so as the value so we often ask countries to report data to us on an annual basis to monitor global progress. And we wanted to make it easier for countries to report this data. So, there are some tools developed around the modules to facilitate this data reporting. I just wanted to say, like Malema mentioned before, that all of the modules, all of the standard DHS to modules are developed based on our recommendations and these are some of the documents in which you can find these recommendations for data collection, or for monitoring interventions. Currently the modules cover most of the activities that are conducted within entomology and vector control and that means LLIN distributions and LLIN bi-efficacy monitoring, IRS campaigns and IRS social efficacy monitoring, insecticide resistance, surveillance of all those vectors, and we also have read inside monitoring but also monitoring over time the treatment, applying lab side and etc. on the reading science. So, this is a list of the programs so essentially these activities that I just mentioned can be conducted in several different ways at several different levels of detail. You can find different options to address each of these activities. So you can see here the different data collection options. Some are more intended to provide a way to collect summary results, for example, from LLIN campaigns. Some are more intended to allow countries to collect daily data during an LLIN campaign or during an IRS campaign. So there is a different options depending on the capacity of the country, their infrastructure at province level, regional level, district level, health facility level. The modules are continuously being improved based on the experiences in countries. So some countries are implementing it, implementing them, and they are providing a lot of feedback, suggestions on features to be added, modules that we can expand, new modules are being implemented based on these country requests. So it's a work in progress and you'll see all of the updates through our website. There's more modules. In this case, these are the ones focused on entomology. So we've got modules for insert services monitoring and again, different types of modules to allow countries to collect data in different levels of detail. We've got modules for other surveillance, including the collection of individual mosquito data to capture results from laboratories, laboratories essays, for example. This is an example of one of these modules. I'm not going to go through all of them, just through one of them. But this is an example of how to monitor insecticide resistance through the HIS2. So essentially, there is something called standard bio essays, which you can see in the picture that countries are doing in the field. The results of those can be entered in data collection forms in the HIS2. All of the mosquitoes that are participating in these bio essays may need to be analyzed to identify things like species, the mechanisms, the why they are resistant to insecticides. And here you can see how we can register under each of these bio essays. We can register each mosquito that participated in the bio essay through relationships, making use of these relationships that Caroline was mentioned that are now available. These registered mosquitoes can be sent to labs and insectaries for identification and analysis, and these labs and insectaries can enter the results of the mosquito analysis in different stages of the mosquito program. So that's an example of how we are making use of most of the capacities in the HIS2 at the moment to build a nice workflow that connects activities and in the field, all the way to activities conducted in laboratories. So here are some of the examples of the graphs for standard activities like the procedure efficacy monitoring insecticide resistance tracking LLIN-OITN campaign results. Again, another way of seeing insecticide resistance data through a tabular format, and also for example tracking vector densities or human biting rates, et cetera, over time for a certain location in the country. So I wanted to say that we don't, we not only have the modules as such, so we not only have the configuration the HIS2 packages, we also have a set of applications that have been built around the modules to facilitate their implementation and use. So the first one is a command line tool for D2DOCA, which is facilitating the customization of the modules to the national context in the countries and the country needs. The second one is metadata sync that you may have heard of during this conference, which is now also supporting countries to install the modules and to keep them updated. So if there is any improvements to the modules that they want to adopt, they can easily do it with metadata sync. There is a third application which is actually nominated as a finalist for the HIS2 app competition. We will see a presentation on that application we will be presenting that tomorrow in the competition, and it's called the HIS2 training app, and we will see a picture later. And it's intended to be to be national capacity in countries to use the HIS2 in general, but specifically the modules, because the application was actually developed based on the need to have some training materials for countries to use this specific modules. Then we've got an application to import data from Excel, and this is intended to help countries to bring in historical data and partner data, and it's kind of an improvement or an evolution of the Excel imported that you may have seen or used already. And finally, metadata sync is also supporting the reporting of data to the WHO or to any donor that has the HIS2 implementation, so essentially the exchange of data between the countries and as donors or even regional platforms. This is an screenshot of the training app. As I mentioned, we developed this because we saw the need to provide training within the HIS2 to the end users of these modules. I'll be presenting this more tomorrow, but it's essentially an application that provides step-by-step tutorials for end users on where to click in order to find the right data collection form, how to fill it in and submit the data to the HIS2. We have customized tutorials for all of these modules that I just presented, and they are nicely identified with icons, and you can see all of these in the demo. The HIS2 instance, whose link I will post on the chat in a minute. And then we are also tracking global progress. We're tracking which countries are using the HIS2 for endomology and vector control. This goes beyond the standard HIS2 modules that I just presented because some countries started using the HIS2 for endomology and vector control, even before we thought about the idea of creating standard packages. Some other countries have some data elements integrated into their health facility modules or data collection forms to report on things like LIN continuous distributions, etc. Some of these countries are actually using the standard modules and some others are not, but are still using the HIS2 for endomology and vector control. If you go into the map, you can click and you can find the details of what each of these countries see or how each of these countries is using the HIS2 for endo and vector control. Finally, I wanted to mention that this is a collaborative effort. This is not the WHO doing all of this alone. There is a lot of partners that have contributed to the development of the modules and also to the applications that I just mentioned. We've got PMI vector control link project that has contributed metadata for IRS campaigns. We are also working with them on establishing interoperability between their big HIS2 implementation and the modules so that they can easily report data to the countries, to the National Ministries of Health. BSI has been contributing IT and metadata, so metadata to support ITN campaigns, mass distribution campaigns, and it's supporting countries to use the packages for ITN distributions. CHI, who is presenting here later, has been supporting countries to implement the modules and Samin is going to present the case of Mozambique and I think also Namibia. The case of Namibia will be presented where some of these packages have been used. And then finally National Maria control programs are providing constant feedback as they implement the packages. And the HIS2 users in countries and WHO have been contributing for example to the development of some of the apps like the HIS2 training app which has been developing consultation with several users. So this is a lot of links just in case you need to have more information. We have videos, we have a website with a lot of information in French and English. And then we have links to all of the applications and their information pages that includes video tutorials, etc, etc. So again just saying that all of this was done to improve the use of entomology and vector control data in programmatic decision making and hoping that all of these money and resources that are being invested in collecting this data are put to good use and are actually improving malaria control and elimination in countries. So thanks a lot and if you have any questions please post them on the chat and I'll be addressing them. Thank you very much. Yeah, yeah, there's at least one question on the chat but so you can answer in the chat and we can post it on the COP as well. But in the interest of time we will move on to the next presenter, which is William Aviles from CHI who will present a bit around some of the country implementations in Latin America. Yes, I think so. A little bit low sounding but it's fine. Hello. Hello everyone. Thank you for people of this session. My name is William Aviles. I'm working with CHI as Helio informatics technical advisor for Mesoamerica and Hispaniola. I'm going to share today some lessons learned from DHS to implementations for Honduras and Panama. Yeah, I will start with Honduras. In Honduras, the DHS to implementation is now the national implementation. However, the DHS to was adopted in 2017, just for malaria at the point. I think we did a very good job trying to establish the DHS to a national health information system. And then, after that, I would like to mention that this is a national implementation, including 20 regions in the country. And basically, now the DHS to implementation Honduras, which is the health information national health information system has a lot of different modules, most of them beyond malaria. And then I would say, in just in the context of malaria, we have based notification and investigation forms. And this is a case based module. And we have the lab results also, and we are working with the Ministry of Health for having the entomology and the control model. In the DHS to implementation. Right now we are with the DHS to core version 234. And the mobile application, the DHS to a reapplication is deployed to one to version. At this point, we are working in 60 with 60 plus mobile users. And then we have the DHS data entry epidemiologists and microbiologists. And this implementation, it's in five pre-dice malaria epidemic regions in the country. The experience so far, I want to share some successes and challenges. One of the major successes for the implementation. It's a full scale up natural implementation. CIS is adopted now by the country as the national health information system, which ensures sustainability as mentioned before. The system is not just only malaria. It's also a good module like HIV, TB, and I think it's worth to mention it's a patient centered based system. So there is electronic clinical file around the patients and then everything is collected around the patient. Another success is they, the Minister of Health, specifically the information health informatics office, they bring regular upgrades to the platform. So they can take advantage of all the new developments that Caroline was mentioning. Basically, these new developments are being used to simplify the workflows inside the system to automate some tasks to have better visualization and have better validation rules. Specifically, maybe trying to limit options in the option set like the state selection, which is part of the upgrades or the improvement that HIV has with the DSM projects. Also, they decided periodical reports and they are generated using CIS. The epipullet weekly is one example. They don't need to use another software and they were using the past double law to create some visualization, but now they are working with DHS to produce these reports automatically. We have some challenges that we are going to address. We need to adapt and simplify some processes. For that, we need to improve documentation and have a better definition of the processes and specifically talking about how having SOPs for support of the user, for example, or having SOPs and how to make modifications to the forms, etc. One of the major challenges right now is the pressure and connectivity in some regions that's definitely difficult to synchronization of the data. So this is something we are trying to figure it out with some other specific type of projects and we need to keep improving the data QA to have to work with the information. Based on the experience last year, I think one of the major successes was the training adaptation using Moodle. Therefore trainings were required last year because of COVID situation. So they successfully implemented some remote training and support using Moodle but also some application for the end users with the mobile devices. They have integrated geographic information for malaria cases, which is a really nice feature in order to have a better analysis of the data for malaria. And in the challenge, they have at some point limited technology literacy in some regions. At some point, the training are really difficult because they don't have people that are really skilled at the use of the forms of tablets. They have a high rotation of human resources, which is very common in other regions. And because of this rotation, the person needs to be trained and that really extends a lot of resources from the Ministry of Health. Also another challenge is the technological team. I think the country has a strong resource in the technological side. However, there is a high rotation of this person also. Now I'm going to talk a bit about Panama VHS to implementation. In Panama, we are helping the Ministry of Health to deploy vector control data collection tools. At this point, we are working with them with the development and the testing and validation of what happens in the first quarter of this year and the pilot of the tools that happened in the second quarter of this year. The pilot was in the Comarca Nove and we were working with the Director of the Entry with almost 11 PCTs doing household enumeration and collecting information about the IRS campaign. The scale-up started this quarter, the quarter of 2020, 2021, sorry, we have implemented the train or trainer model. And we are adding key regions to the deployment and implementation to have a total of 46 PCTs working directly with the VHS to Android capture application. As of today, the VHS to foreign implementation is in one and we are using the VHS 241. In the future, based on the results of the pilot, the Ministry of Health is really interested in implementing the net distribution and the evaluation and also the VHS to collection tool. So far in Panama, I think one of the major successes is to have everybody like the user interface and the user experience with the HHS tool. In the Emanue process, the score is 70% for the usability score. In the general focal group interviews, everyone says this is a helpful tool, but the use of paper facilitates the work in the field and reduces the risk of loss because at some point, these are some challenging regions that work in the field. There is a lot of rain and also sweating, very comfortable situation for everyone, so most of the time, most of the time they could lose the data because some paper forms are being wet because of the rain, the sweat, etc. Just one minute warning, William. Hello. Just one minute warning. Thank you. Yeah, thank you. Yeah. This is the last slide. But I think everybody said that it's improved their ability to do their job. It's helped to interact with the community. And I think it's really important that the implementation was better by the Ministry of Health. As a human level, they're using the HHS tools, as I think tools for analysis of the data, not just for malaria, but for other areas, admiration that they've been used for other types of projects. And the biggest challenge right now is the lack of connectivity. And they say they need some data summary on the mobile site to verify that they don't. We need to have a stronger integration. We're training the people, and it is more time between the enumeration completion and the erase planning and execution to have more time to plan and execute the campaign more effectively. I think that's all. I'll stop there. Thank you. Thank you so much, William. Okay, so then we're going to go over to some presentations from Namibia and Mozambique. So I will give it over to Itula from the malaria program in Namibia first. Thank you. Welcome. Yes. Thank you very much for this. Can you hear me? Yes. Perfect. Thank you. Thank you. I'm Itula from Namibia, I'm a sector manager and I'm working with vector control and also enter surveillance and we are doing with collecting the data and also do the, look at the analysis that is provided by DAIS too. So Namibia is just a country in the southern part of Africa with the northern part of Namibia with, which is the endemic to malaria. The aim is to eliminate Namibia, but with that we have to eliminate malaria from Namibia we have to have an improved surveillance, which is a core part of our national strategy. The DAIS2 Malaya Information System was initially introduced in 2017, although we had, before that we had the mainstream that collected information from other diseases, but they could not collect all the information that we want to address all the indicators. So with a built in visualization capability and option for future integration. So Namibia implementing this Malaya Information System. So, initially we explore out the health facility weekly reporting case based. And from there it started also including some of the modules. And recently we just added to the end of module surveillance module as my previous colleague was also talking of including such modules. So far, the system has more than 400 users across health facility in the Malaya district that are using this and also the region every region is able to use it up to the central level. Let me talk more on vector control which is my baby. So the vector control module in the DAIS2 Malaya Information System has five form under it and it's largely reported through the Android capture update. And those are annual target weekly report. And also in six days tracking, that's a lot deciding information we are doing in our setting. We also enter them into DAIS2 as well as the one for net distribution campaigns. So by replacing the paperwork, the module has subsequently improved the program ability to monitor the campaign progress. Because when people are spraying because we collect data from village level, we can be able to see how is the progress and what have they have achieved. So you're looking also at the scorecard dashboard that we see when is at this level, this is the color and when you see thread meaning that they do not do well. So they can also even just to even inform the team in the field that they need to, they should not leave that village. They make sure that they mop up and make sure that all the structure are sprayed or they get to reach the coverage of at least 90% So on my entomological module, this module was just added and it's having six forms. So three forms are about to vector collection, the way we do our HLC, Greenland catching, the letter is spraying to measure also the resting and also we also do the rubber collection when we collected the young baby for the mosquitoes. And we also do insecticide for the systems monitoring, mosquito, perluminal chain reaction. So, and also we also collect the behavior on human being, which have something to do with the way they are located what they are doing so that when they get maybe transmit malaria. They sitting outside where they are not protected or they are still inside room which are sprayed or room that are not sprayed. And we put all this information together in DHS tool so that we can be able to analyze that to be able to analyze them with together with cases and the spraying and distribution net to see how it is so that we can be able to see where exactly are we going because this make our work easier to analyze and also to focus our response to relevant places. So we with the DHS tool, we are able to import our historical data into the system using a sentry user import app available in the DHS tool. With the program moving to moving to the use of Android capture user can accurately capture also the geolocation or geo position of a certain place while in the field for just mapping purposes and we can also be able to create our maps and see where these places are if we want to even to do our response. So we it's easy for us to go there. With dashboard which allow us also to visualize vector composition, distribution of vectors, abiding behavior because they might behave with differently from region to region is Namibia is a very big country. So they even the insecticide that we measure and we have to look at it we also need to see in which regions or which district insecticide may not work because that mosquito have grown develop the resistance. One minute warning. Yes, this will be my last slide. So on the success, most of my malaria data has been integrated into centralized post story, allowing it to combine analysis of cases supervision vector control and entomology that's why that's good that they are they are together and a series of instance specific training video have allowed for easy deployment and decentralized training. Because we also need to train people who were trained and maybe they've been a long time back doing using DHS to they need to be refreshed and also people who are just graduated graduated and start working so that we need also to train them. On the next step we need to continue phase the switch over from regards to Android app to integrated capture app and decentralized data reviewing meeting to Regina river so that they can be able to review their data at the regional level they will not wait for center to do that. And also upgrade DHS to for version 2.9 2.29 to the latest vision, because they all the older tab that we have Android that we have we cannot not compatible with the new the latest vision. Also to enhance capability building on the Minister of Health and Social Services. Staff is ready for full transition to the system from partner. Thank you very much. Thank you and then quickly over to some mean for our latest presentation and we'll try and end a couple of minutes before 3pm for the next session. Go ahead. I just got my slide going. Yes. Great. So, for this presentation, I wanted to talk through the process of developing double area data repository for Mozambique in DHS to particularly because Mozambique was dealing with a lot of data fragmentation, not only within the programs departments but also across the state so you had different organizations and as well as academic institutes collecting very critical malaria data so the challenge was to consolidate all of this data. And this is done in partnership with malaria consortium and South Digitus as well as the Ministry of Health. Okay. So the challenge, essentially the national air control program was in beef is relying on many different data sources for effective planning program implementation and monitoring and evaluation. So in their day to day programming, they rely on data from commodities health facility cases community survey data supervision and data quality data and small school surveillance vector control interventions such as that nets and indoors ritual spring as well as health promotion. A national surveillance assessment conducted in 2016 found that the state was extremely fragmented and poorly aligned into one of the main goals and their new national strategic plan 2017 onwards to create a malaria data repository to host all very data. So the key surveillance assessment findings were there is multiple sources of data with different definitions. There is no standardization and reporting tools or and no standardization and how indicators were defined. And there's also poor accessibility and integration of data and no automated outputs leading to a lot of main wall efforts to consolidate all this data across the different departments and programs. Clean it align it and try to develop reports and outputs. So that's kind of the main challenge you're tackling. So the first step was the national strategic plan was used to scope out all the desired indicators to be housed in the malaria repository. So on the right is a list of all of their snapshot of their different national strategic plan indicators and we went through and that selected which ones they wanted to and then second to the kind of harder part was to set all the partners together and align on standardized indicator definitions and standardized reporting tools that would be used for the malaria repository and this is done through a series of design sessions with medical technical working groups. So through this process we mapped many, many different data sources for all of these different modules. So, for example, with an entomological surveillance we had a DHS students used by a partner, a red cap instance used by another partner and then many, many different Excel sheets. Same story down here for vector controls just a lot of fragmentation of the data. And so our kind of next step was to kind of figure out how to make sense of all this in order to develop the malaria data repository. So DHS2 is very well suited for this because for any routine existing Ministry of Health information systems so for best information systems that might have an API for example like the HMIS, which is also DHS2 based and the LMIS we could just integrate that data directly into the system and have that kind of routine data flowing through. And then for all of the other modules where there is a lot of reliance on ad hoc systems and Excel sheets. This is kind of the harder part of designing and developing standardized data entry forms and aligning on processes to start directly reporting that data into IMS via either web capture via Android capture app or via Excel import apps like the Bulp load app. So that all kind of whether it's the program or an academic institute there's processes for everyone to get their data into the system with common definitions and indicators. So the other WHO modules for vector control and entomology really came in handy because we were able to basically adapt them for the Mozambican context and then just plug them right in. And there was sort of clear definitions and standards that all of these different partners and entities could agree on. So integration with information systems developing data entry forms where these were lacking and then compiling all the historical data, mapping them to the modules and then importing them so we could also have retrospective data. And finally, the main end goal which is developing dashboards to actually routinely visualize and analyze this data. This is still ongoing. This kind of snapshot on the left of all the different modules and all the different forms and what's in red is what's ongoing as part of a phase two development, while components of phase one have already been rolled out. The follow is that new data entry forms for supervision data quality audits and small children surveillance and vector control are now being reported directly into the system by provincial and district focal points with a lot of intensive supportive supervision to emphasize routine recording data quality and data use and then for the entire partner and academic Institute landscape where they're also collecting for data or kind of defining clear processes for how that data will be reported into the system and this is where really user friendly Excel based in perhaps like both are really paving the way for sort of easy routine importation that's not a huge data entry burden on partners that might be using their own systems already and don't want to have to double report. And then at the top we have these are the dashboards that we've developed so far. And that is it. Thank you. Thank you so much, Samin and sorry to Magnus for going a little bit over time, but thank you for all the presenters and for a really great session and please continue the discussion on the COP and yeah we'll end the session here. Thanks again everyone.