 Ya, so my name is Ménz Mungani. I work for Ministry of Health and Child Care in Zimbabwe as a deputy director for Health Management Information Systems. So, ya we do have DHIS to in the country, I think that the first time that we used it was some time in 2011. It was DHIS 1.4, Big Bend, ya. Then coming towards 2012 we adopted the DHIS2 this information was just to ensure that we have the aggregate data for DHIS to unlike the desktop based platform, they are to adopt a web based platform Since then we wanted to implement this差不多 Media is provided quite a number of solutions to a number of problems that we've experienced, or we were experiencing as a country, um, dating or maybe looking at particular aspects of data for decision-making. Also, our surveillance tools, we look at the IDSR, having to collect data on a weekly basis, Sala za kwa kwa akin nanginiwa prokaji kwa uiwa na kwaan nga dhakeya kwa kukili haj isi kiwe. Sama, nga kwa kwa, kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa kika kapujilisha. Tawa kwa kwa mqa youthesuwa kukili. Kupili wa na kwa kwa kwa kwa jamu, kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa kwa. We used to have a desktop based solution to collect information on when we want to do the indicators like average length of stay. I also want to look at aspects in terms of the top ten causes of admission, among other things. We then adopted this system so we were able to actually use it using the ICD-10 coding system currently. We do have inpatient data, outpatient data and it has worked very well for us just to maybe improve in terms of what it can actually do. We have gone a step further to actually start collecting data for campaigns like, for example, national immunization days. Look at the mass drug administration, vitamin A supplementation. So we do have an instance that captures data on these campaign instances. Moreover, we have also looked at the aspect of malaria control, apart from just the aggregate data on the cases, the tastes, among other things, and also the cases that we have admitted. There is also the aspect of surveillance. As a country we are targeting malaria elimination, so we have since implemented a malaria tracker which allows us to track clients who have been identified to be malaria cases and then we go to their homes and do the Fokais GIS mapping, among other things. We also have implemented DHIS to in EPI surveillance as well, taking coordinates or information, contacts on priority immunization diseases like EPI, AFP, among other conditions, adverse events following immunization among other things. So probably in Samara I can say we have been utilizing this system and it has proved to be very instrumental as we try to address or solve a number of health-related challenges in relation to data. And of course, when we talk of COVID-19, I think it's another critical area that we also need to talk about. We have been implementing a COVID-19 registry. This is specifically looking at all the clients that have been vaccinated for COVID-19. Of course, we are in the process of capturing the data as an after event elast, but of course the idea is to ensure that we match these records with our vaccination registries just to prove that someone has been fully vaccinated, partially vaccinated or not vaccinated at all. So it's a process that we are currently working towards and we just hope that we will be able to match this with our national registry for vaccination so that when someone travels outside of the country, we are able to then verify not necessarily using a QR code only but referring to the actual database where these clients have been captured in terms of all the parameters pertaining to their vaccination. I think generally this is how we've been working with DHIS2 and we hope to include more aspects particularly just maybe if I can touch a bit. We have been working with our national TBU control program to look at aspects of quality, data quality. So what we have done is we have developed an application or rather customized DHIS2 to look at data quality aspects where we will be visiting sites doing the manual data verification exercise and then using DHIS2 to compare with the information that has already been reported. So if then we then come up with a score that then tells us if the data is of good quality or is of poor quality, if it's of poor quality then the team will actually then provide some kind of support to the teams that will be residing in that facility or within that district or within that province so that the data improves on its quality. So the subsequent support visit will then track on the previous score in terms of data quality and see if there's been any change in terms of improving the quality. I think that's much from Zimbabwe in terms of DHIS2. Thank you very much.