 Hello, welcome. My name is Andy South and I'm going to be talking about mapping African health data in the AFRIMAPR project that I'm leading, where we're developing packages, training and community. And the picture of the Lego block on the front of this is to remind me that the key idea about the project is about developing building blocks so that analysts and our users in Africa can develop solutions to local problems. So we're funded by the Welcome Open Research Fund. We started in January 2020 and I'm based at the Liverpool School of Chocolate Medicine in the UK. So the AFRIMAPR strategy is to develop building blocks, our packages and other things, training resources and community development. And so this is our theory of change. We see a great potential to improve the use of routine public health and other data in Africa. And we're addressing it through the development of these three things that I was talking about earlier. And we see the potential to there to be a much better use, development and sharing of mapping and other data workflows in Africa. And the people that can and are benefiting team from that are government employees, data analyst, researchers, journalists, NGO staff, volunteers or anyone working with data from Africa. And the potential in the long run for an improved use of open source software and open data ecosystems and better use of routine data to inform decision making. And so the real opportunity just at the moment is that there are rapidly growing African data science communities that are visible online and active online. So our user groups in a number of African cities that are meeting regularly, other coding and GIS kind of related community groups. And so these are the sorts of building blocks that we have in mind. And some of these are in place already. And what we're trying to do is put them together better and make it easier to put them together better. So building blocks around open data around administrative boundaries, more kind of conventional our tools for joining and summarizing data and then tools for visualization and making web applications. So these are some of the resources that we have. And you can have a look at our website. So we've got a website here. And so it's not just me. It's a good opportunity to introduce some of the team and thank the team that's been working with me. So I'm co-leading this project with an elder Vanderbilt based in South Africa and a number of other people who here have been working with us as well. And all of our code is in the open. It's on GitHub. So you can go to our GitHub page to look at some of the things that we've got there. We've got a number of our packages. So let's go back to the presentation. So shortly after, you know, starting in January 2020, obviously COVID kind of happened shortly after that. And so one of the first things we really got into looking at was open data on health facility locations in Africa, having seen that open data on health facilities were being used, for example, in the UK, the US and Germany to kind of inform the response. We produced or started looking into it and then produced this paper of a reproducible analysis of what data are available for different countries. We found that the situation was more kind of complicated than one might hope. So down on the lower left, this is sort of the data ecosystem for different sources of data. In some countries, data are made available from the Ministries of Health. There's also a data set that was produced by the Camry Wellcome Trust a few years ago. And then there's open street map data as well. So what we did was produced this reproducible analysis and made a kind of a web application. So we made a package that makes it easier to compare the data and then makes it easier to create a web application that we can look at those data in. So this application is there. You can choose a country. You can zoom in on a map. You can look at the different sources of data. So one of the things we see here is that the open street map data made available through the HealthSites project. And we've been working with Mark Herringer, who's leading that project, and see that that's much more sort of comprehensive or can be more comprehensive in urban areas, whereas in more rural areas kind of left so. And we made tools to be able to look at what are the different types of facilities and also a summary of where data are made available through National Ministries of Health. We've also been developing training materials. So one sort of the first part of that we're following a modular approach was to develop an R package, AfriLearn data, that contains a number of example data sets for Africa so that they can be used by us and others in kind of training materials. So relatively small data sets, but all based in Africa. So data for points, lines, polygons and rasters that can be put together. And then we've got some interactive learn R tutorials that new users can experiment with on the web. So you don't need to have R installed. You can go in and click through a tutorial. You can edit the code, press run code and get to see online kind of what happens. So it's been sort of a taster for using R. We then have developed some of these things further. So we just ran a tutorial at the use R 2021 conference a couple of months ago, about in both French and English and the resources for that are available online too. And we just collaborated or we just helped out our colleagues who were developing or who were delivering some training for CDC Africa as well. We also have started up a regular monthly community meetup where we invite people to present about their work mapping African data. And so we've got the next one of those is coming up next Wednesday. And so we're keeping going on this. So we we're always on the lookout for more users and developers from Africa and elsewhere. So we encourage you to kind of share our resources and get in touch anyway, reach out through our Twitter account or you can contact me directly by email. I should be in the chat space afterwards. Be keen to talk to everyone to anyone. And yeah, that's where we are and look forward to talking to you. Thanks.