 Idris, like me you are also suffering from a cold so we do our best and we struggle through this. Let's try and get as excited as possible about what you're doing. I'm very excited about what I'm doing. So I'm doing a dashboard. What's a dashboard? A dashboard is a way to visualize information and in that case it's a dashboard about surveillance, disease surveillance. So we collect routine epidemiological data on disease, outbreak prone diseases and we map them into a dashboard. Okay so this data this comes from what? The Ministry of Health, it comes from the WHO, it comes from local, the usual sources. Usually it's coming from the MOH but it can also come from committee health workers. So you grab this data and you pump it into your clever system and Maddy can we focus in on the system here? Can you press some buttons and make it do cool stuff? Exactly so then you map everything on the dashboard so you got the map here with all the different health areas. In that case it's the PHUs, the public health units, the cash minerals of each public health unit in Sierra Leone and the district of Tonkoli. You have the AP curves here and you got the period there. So if you want to focus only on for example Malaya you would just click on Malaya cases and that would filter only the Malaya cases, right? Yeah that's clear. You map only only the Malaya cases. If you want to look at measles, yeah measles. There you go and then you have the cases of measles and you see that in here you have actually quite a lot. It's in massing 66 cases. So does this mean as a medical coordinator I can now manage operations from the swimming pool on my smartphone? Yeah you pretty much can do that. Great, Dr Bargaville. Idris this looks amazing as an epidemiologist and an infectious disease doctor. I can totally see why this would be super useful. I can track epidemics. Can it also serve as a bit of an early warning system though for me to sort of think this is where I need to go or perhaps to sort of strategise around infectious diseases responses? So in other words you don't even have to get out of bed in the morning as a midco you can just lie there and wait for the thing to say and then tell people where to go. Exactly that's what I was saying. So in that district with 66 cases I would automatically send my team there for an investigation because that's unusual. So that's the early warning system. So before it comes to an outbreak you have the warning signs that are coming from the dashboard because you can see the routine data and it's not in an Excel sheet that you cannot actually read. So that's how things happen today. So people are in charge of tracking epidemiological they've got Excel spreadsheets and it's not so obvious to read stuff and they have to actually look through the line by line but with this system things become you're displaying it differently. That's what this is all about. Because they are not even looking at the Excel sheets usually. So they don't they don't see what's happening and so only like we have an outbreak and we need to like to intervene and intervene quickly and so on but like there was warning signs and we haven't seen them. So the point of the dashboard is to see them early enough so we can intervene before the outbreak is actually too big. And have you done this in the field yet? Is this live or is this live? This is in Sierra Leone but we also have one in South Kivu. We have another one in Katanga as well and soon in more places. Idris, one question. This is clearly dependent on the health facilities sending you their data. How have you got people on board? Are the local Ministry of Health facilities participating in this as well? Do they get something out of it? Absolutely. So in the case of Sierra Leone for example so before the dashboard the completeness was between 60 to 70 percent. Using the dashboard and showing the district health surveillance officer and the district health team, the MOH team, the dashboard the results what they were collecting and also to the public health units they realized that it was actually useful and they had like a direct feedback loop on the information they were giving which was not the case beforehand. And what's next then? Are you going to try in more places? Are you going to launch yourself as a separate organization and leave MSF? Start up, spin off. I'm looking for funds now. So if anybody out there wants to give him a million how much you need? Two. Now's the time. Okay, no, no. We're going to implement that in many different places and the dashboard is also the code is developed up and so so anyone can actually use it for like different purposes. Clearly very and so other organizations not MSF done anything similar to this before? Absolutely. The British Red Cross for example and we're collaborating with them a lot on that because they also like to visualize all the huge data set they're getting from the fields. Cool, great. Thank you. Good luck.