 Introduction as we get started today. Hello everyone, it's very quick. We're going to start. We're here working on health programs. There are questions that we often hear about when we want to put a place. And climate questions. We wonder why we want to associate it with health questions. But the key question here is that climate change affects everyone. And especially the people in the countries with low income and favourites. The climate crisis in the last 50 years is a result of the global health system. So on the OMS, this one is working on the progress in the global community. So we're interested in the question to prevent the situation from getting worse. So a Diapo from my colleague from the health institute in Norway. How does the climate affect all the variables? So there are the solutions, the vulnerability, the existence, the capacity of health systems, the reinforcement system, the capacity. And as you can see, there are several events, such as the floods, the strong winds, which are the consequences of the variation of climate change. So all this affects malnutrition, mental health, etc. So climate change has its consequences on the human being, whether on average or long term. So we see the results in terms of health, the consequences that we see on the right of the screen. So it's an interconnected line. You can see here several climatic events with the consequences. So you see, we tried to establish the relationships, even if these relationships seem a little complex. So we take, for example, the conditions that have consequences on mental health, on which it can contribute to migration, which can lead to disease, all interconnected, which creates a rather complex network. So in the context of malnutrition, we will try to talk about health in relation to climate change. So to do this, we need to understand the situation well. There is a rather complex network. So what we see here is how can we try to take into account all the variables in order to see what is going on with climate change, what we can do on a short term to try to solve the consequences of climate change on human health. Now, for health, here's what I think is the good news. When we talk about climate change and health, we don't talk about new health risks. There are new health risks that are intensified to make it more and more likely in the geographical context. This is generally the case with climate change and health variations. And by consequence, you have to think about using the information in the best way to be able to move forward. So I'm talking about good news because several countries have the HSE system that is in place and they are also collecting information about health. And it is useful to try to reinforce health programs. This is a slightly different diagram. This has also been taken from the WHO. It explains the context of sanitary problems in relation to climate change. Here we see the HSE systems that already exist in countries that are regularly under control. These are data that can measure the impact on health establishments and health systems. So here are the types of data that we can put where they exist in the HSE system. So there is a good foundation for the data that we can use for health systems in countries in relation to climate change. And to continue, there are concrete projects. We started to put in place our concerns as potential domains to intervene in the HSE system. We use the HSE system in these domains as a starting point. And that these are potential domains where we can also improve. There are three major categories. First of all, infectious diseases, nutrition and food security, heat and floods. So it is taken into account as an important subject in relation to climate change. The first thing here is that we have several systems that have been presented that take into account the climate and health issues. The Mozambique team has talked about it. There is also the example of the HSE that developed this platform. This has been presented. Here we can see that in this context, the data from the climate can try to project what is happening and try to follow up on what is the disease that is spreading. Also, there is the question of the situation or the management system of agriculture and the consequences. Because we know that agriculture is also the consequence of climate. The last column, it is true that we do not have a lot of systems that deal with the question of heat and floods. But we need to develop the HSE-2 systems in these new sources to give some countries that have started to explore this possibility. Also, I have the HSE-2 as a surveillance platform. And this is very important to be able to capture the data of all these variables. And also try to be able to send messages to the different actors to inform them of what is happening on the field and how they can make available in order to be able to see the effects. So here is what is happening with these three variables. We have seen what is happening in some areas already during the last year's conference. But we also need to prepare for the services that we provide to each other. And so there is a link between the three tables that you see regarding infectious diseases, nutrition, food, health, food, and the HSE-2 system. So now, this is a domain where we do not have a lot of expertise. So we have underestimated how difficult it would be to build a climate system in the HSE-2 system. So there are sources in the domain, the concert work, with the HSE-2 community on systems like this. And there are several challenges that we will face. So first of all, what we take seriously is finding a system that has data that takes into account several variables such as temperature, climate data and health data to analyze by the relevant. But there must be the granularity of the required data and take the volume of climate data and the system used for treatment and how to see for its integration of the HSE-2. So we try to see if we can evaluate the numbering of climate data in the whole world. And also, we have the challenge of reconnecting the HSE-2 as a platform with climate data in such a wide environment. And because it is a rather complex environment for what is estimation. So there are challenges in several areas. There are approaches that have been adopted by the one and the other in terms of climate, so we really need to be able to learn from one another to be able to improve the platform and see how we can benefit from a platform. Also, there are organizational challenges. The acceptance of the HSE-2 systems with standardized operating procedures for the use of data and action. So we want to try to create productive indicators because there are several changes. We need to be able to trust the data that enters the system because it would be resources that can become that will not be relevant. Because in reality, we will have the impression that there is an event that takes place. But in reality, this event is not taking place yet. We need to put in place a very solid organizational chain. The good news is that even if there is a climate change that affects all countries, there are several resources available so that countries can easily get out. It is important that countries can use climate data to solve relative questions about the climate and for this, we support countries with climate change victims. So I will show you an example of the system that we talked about. We started working with the incorporation of climate in the software. This is our current DHSU project on climate and health. Here is the screenshot of what is happening in Mozambique, Olaoui and Olaos. So in reality, we are looking for partners for the climate and health project. This is for those of us who want to collaborate with the EPI to create digital solutions that use the DHSU and contribute to strengthen the health systems in order to respond to the risks of climate change. So if there is hope among you, please do not hesitate to contact us and we will try to advance and solve this climate problem quickly thanks to our DHSU. We are looking forward to working with you very soon. Thank you. Thank you so much, Max. I think we are all really looking forward to seeing where this is going. Thank you very much, Max. I think we all have access to this. How is this going to happen? So we are going to introduce a few colleagues so that they can come and give us their presentation. So we have the audience, a group of people, and Matthew Mvola who will come to present their platform for those of the question. So that's a bit of a question. And there is also the representative of the other minister at Malawi. Can we start to see if we can take into account the platform of Donny? Good afternoon, everyone. I'm Blessings Amanga. Good evening, everyone. My name is Blessings Amanga. From Malawi, I work with the Ministry of Health in Malawi with my colleagues from Malawi. We are here to introduce the fact of building unique health surveillance systems to respond to the public health emergency and to the pandemic. So in our presentation, there is first the history of the implementation of the SMER in Malawi, the development of the OHSP, the success of the challenges, and also the prospects. So the adoption of SMER in Malawi, it's since 2002, and then there are several initiatives. I just want to make sure that it's projects that are taken into account in SMER. So there was a project in 2015 that was funded by the World Bank to be able to see how SMER can be used in a better way and implemented. Also, there was another project that was funded by the UNICEF where we saw how we could implement SMER for what is messages. And in relation to the environment and the realities that we see. We need to take into account a approach of health for all. So it's a collaborative approach multidisciplinary and transdisciplinary to see how we can reach our goal. In 2019, there is the unique health surveillance platform that has been implemented on the DHIS2 platform. And during the COVID-19 pandemic, it has been reinforced in the view of how we have seen its use during this period. There are several things that have happened. We used the same platform to make sure that we can scan the input, the surveillance of cases, the tracking of contact cases, and also we used it in the educational sector where we should monitor the cases of COVID-19 in schools. Also, when we started administering the COVID-19 vaccines, the population was taken into account on the platform. Everyone vaccinated was registered in the system. So in the end, things started to change. For example, when there was the COVID-19 cycle, the Malawi, the Frutti cycle, and also the cholera epidemics, we asked ourselves if we should have a system for each pandemic that will come. We will take what we already have. We will try to reinforce what we have so that it is resilient so that we can take into account each catastrophe, each illness, each pandemic that will come so that we can capture the data we need so that we can respond and effectively repost the situation. I will call my colleague to come and continue to talk to you about the improvement of our CBS. Yes, thank you very much. At the beginning of the cholera, there were not many cholera cases. Some of them were in dry season, and there were few cases. It was a little easier. In Sanjay, we used our system called OHSP, but the system was loaded. There was a load of important work, so it was impossible to use it. They had to use the Microsoft Excel to generate lines in the districts, which gave a very bad quality of data. The team that was in charge thought that we had to find a way to put all the cholera cases on the same platforms. What happened was that it was very long to have the reports, but there was a chance with the cholera. The solution was to improve the system to quickly advance the capture of the cases. The team spent three days to answer the question whether the confirmation of the needs, the configuration, the development of materials, the training, and the training itself. The result was that the DHIS2 with the OHSP platform proved a great flexibility and a great resilience, helping the health minister to improve the punctuality and precision of the reports. We also developed boards on the DHIS2 platform for cholera cases, so that the different actors could have access to it and make informed decisions. The program was updated, and it was deployed to hybrid training, that is, in virtual and virtual. We also used surveillance agents. We used this platform in the LVN9 districts we have in Malawi. When we talk about it, they are entering some data so that we can have updates. Here is the interface of an example for the registration of patients and the results. There were several difficulties during the implementation. First, for the implementation, there were challenges in the implementation like the internet connection, the lack of gadgets to use, and the training and supervision are adequate. Now, for the long-term challenge, there was the question of security, and we said that we did not have just individual data, we had to improve the security of the data. There was also the question of journalism, like the financial issues of infrastructure and human resources. Here are the challenges we faced in our country. From a perspective, we decided to continue the integration of the OSP in other information systems on health such as the SICS, for example, and continue the development of other components. As we said, it is a system of surveillance, of health for everyone. This is because for the moment there is human component, but now we have to add other components such as animals, environments, etc. We know that the two are also important as you can see on the image on the right. We also had to add the management of the national grid and the data on climate change and the integration of the EBS and the EBS of the two sectors. We want to thank the organizations who helped us so that our customers can come to Oslo. There is the International UNICEF, Last My Health, GIZ, the MS, etc. Thank you for your attention. Thank you very much. We have understood that it is not easy to take into account all the variables. The next presenter is our colleague who is going to talk to us about the national system of information integration in terms of agriculture. We also focus on the integration of data and resilience. I hope that I am still audible. Thank you very much. Good evening to all. My name is Jennifer Kossi and I work as Minister of Agriculture for Malawi. And in this ministry we have developed our own system based on the DHISD platform and we call the national system of information integration in agriculture called NAMIS. We use it for example for climate resilience and also for agricultural vulgarization. So here I am going to talk about the current system for the climate resilience and agricultural vulgarization for the different farmers with whom we work in Malawi. So for this plan of my presentation I am going to focus on the view of the whole dynamism, the vision and the current state and then I will talk about our weather and climate extension also on the other side on the flight of intelligent agriculture to the climate. So here is a little about what I am going to talk about and I am also going to talk about our perspectives as ministers. In relation to NAMIS it is a complete and integrated system that we have developed to be able to collect, analyze and share information from the national level. The NAMIS system has been developed in order to reinforce the availability of this information in the ministry. This has been developed based on the structures that the ministry already has and from there we came with 18 modules in the NAMIS system and the system has started to be implemented in 2018 and this is where we started to develop the conceptual framework, the implementation plan and also the deployment that is scheduled for next year. Our system has also been designed for personalized applications that we have developed in the system to facilitate collecting data and reporting. Most of the data is in terms of agriculture with which we work and also the data at the level of NAMIS are used by different ministers, ministers of commerce, government partners and other organizations who can have access to the information that we generate in life. What have we done after these 28 12 modules we have also implemented 12 we have been able to implement 12 districts and there are several projects with which we work there are agriculture that are registered in the system this system, as I said is implemented in 12 of the 28 districts this is the financial framework for the implementation of this system presently we have about 1622 the same to collect data on different modules in the organization of farmers there is the information that we also collect in relation to the market price the price of food and so on. From there we have also generated visualizations and reports that are used to make decisions. So, today I will focus on modules that we have in the system there is one of the meteorology and the other on the organization of farmers for those who are meteorologists I will focus on the data of the most geometry and this is what we have been for 10 to 12 years we try to register and give them on the most geometry and also we try to take into account the families and the farmers with whom we work so that these last 10 similar information in the Ministry we have several post several post-vacation we call the farmers who are trained but who do not have work to help us to disseminate the information and to be our focus on the field. So, the Malawi as our old presenter said we have known cyclones the last one is the bicycle which has had a devastating impact on the farmers for those who have subsistence including the aspects of agriculture and nutrition So, for our system we try to see how we can facilitate the resilience of this climate via the platforms and also provide good service in relation to the system we try to have advice services based on our climate also to be able to provide guidance for the selection and planning of the agriculture for the farmers so that these last ones can also have access to financial and insurance services in the end we would like to be able to reinforce the resilience of the farmers in the end of the climate change So, for our vision we need to have a better collection of meteorological for the moment that the weather now we will have parameters such as temperature precipitation humidity at the community level to have the exhaustive information that could be analyzed to make decisions and to inform the farmers also as a vision we want an orientation of the planning based on data and time this has already started but we would like the farmers to come with agricultural practices for the basis to be able to make a deep space for the climate also there is the planning and management to take into account at the community level and at the national level we would like to have analysis combined in terms of weather data and the specifics and how this affects the culture, the animals and nutrition we need to work with the Ministry of Health on the health system for everyone called one health so the system is also what are the tools with which we work and that we already in the system for the moment the 379th weather station configured in the case of the hierarchy of the reports and these stations at the level and we have work at the level of the community making reports on the data and they send the information in which the system is used by the weather service and also there is information that we collect at the level of the community in terms of the weather so there are several data in terms of our efforts thanks to the visualization service we have 6603 farmers in the field and 45 agriculture schools in the system and these models are used for the distribution of technologies and messages in terms of agriculture we would like to see on the map the implementation of the agriculture and the agriculture schools as you can see the basic information the basic agriculture that we have used in the system and this is the agriculture that can help to disseminate information on the basis of the system also we are able to follow the intervention pathography of different actors here is a screenshot of the visualization of our data that we have started to collect it is a study of the last year in 2022 and here is the progress in relation to the registration of field farmers in the districts and now what are the other efforts the other partners that implement the NAMIS system we have said that we want to collaborate with everyone to have a fairly integrated system to avoid the double in terms of efforts so there is the partnership with the weather agriculture department and together we can generate quite specific messages to send to our farmers who work with us who are registered also the department has also given a matter of climate forecast and there is also the project of the climate service integrated for the agriculture department within the ministry with other partners who work the same approaches for those who have climate change and we can generate messages to guide the farmers on what they can do about the climate that the department provides so what are the challenges first of all the limited availability of data beyond precipitation as I said earlier we focused only on precipitation but we did not focus on temperature and humidity so now what we want to do we want to develop more tools for those who have climate the second challenge of weather data you will see that most of the climate we have a community level not the instruments of data necessary third there is the difficulty of importing historical data it has always been a challenge not only with the climate sector because we are ready to migrate from from paper work to electronic work so you have to try to be able to gather all the information because there is information missing others are paper others are digital so you have to find at least everything and gather also there is the fourth point which is limited capacity of the personnel it is also a challenge for us but we try as much as we can to reinforce their capacity for what is the utilization of the NAMIS system that we have in place also there is the limit of technological infrastructure there are difficulties in relation to gadgets which sometimes make mistakes so we try to improve because gadgets are destroyed or have problems now in the last place there are limited financial resources for the implementation and maintenance it is implemented only in 12 districts for the tonics that we are using it is that the information that we are going to collect in the system we have to take into account all the country and we are limited to some districts so it means that we have but now what are the persuasive in relation to the minister of NAMIS we have tried to import geometric data on 10 years in the 28 districts there we started to import the geometric data we have a partnership with Dr. Duandemanga of the University of Malawi for the development of the NAMIS system on the DHSU so we want to work with to reinforce the capacity and put it to the point of instruments for other meteorological parameters and the collaboration at the University of Slopour for climate research and we also want to collaborate with the department of the University of Slopour who can help us to have more data and how to better use the DHSU system in the agricultural system the field of climate change and which helps us to develop certain modules that we have in the NAMIS system and also in collaboration with the Department of Meteorology for the construction of the climate products in our country in relation to this reality we want to be able to connect the systems that we use in this department and our system to be able to better make the climate products to the different agricultural systems and also to provide advice services to the farmers information that we want to be able to give advice to the farmers how the NAMIS system can be an advantage for the farmers we would like to finally realize that this system can give advice services to the farmers also in terms of to respect again what we want to do is to integrate the information and the GIS in the estimation of the income so it's information that helps us in relation to food security in our country at least we use the classic method in relation to the data collection but our objective is that we want to use the detections and the GIS in the platform of DHS2 for the estimation of the income so to finish I will thank each one of you and thank you for the support of the different donors who have given us their resources in relation to the funding of several projects they have supported us for the NAMIS system you see the donors below the screen I thank you thank you so much Jenner that was it's really impressive how many different types of users and different types of data have been brought into DHS2 and how that data is interesting and impressive and we will follow the last presentation and the Ministry of Health of Mozambique who will give us a presentation of me a member of his ministry my name is Ophelia my name is Ophelia I work in the Ministry of Health of Mozambique I am the manager of the training system and we will share our experience in relation to the weather data in DHS2 my colleague will continue the presentation my name is I work with Ophelia to support the ministry of health in the process of the integration of meteorological data in DHS2 as I was saying we will share our experience in relation to the integration of meteorological data in DHS2 a work that has been done in Mozambique the context there have been many crises you have just heard the experience of Malawi let's face the same situation to face these problems we need to give data not only health data but also data on the climate for our cities these types of data the Ministry of Health is involved in the development of this platform in the morning during the plenary we will share something of health and help a lot in the development of integrated surveillance and which must be used in different areas especially in the management of disease surveillance to have real-time data and also to allow different actors to have a platform where they can find data to be able to respond to different crises so here a screenshot that shows a model that has been developed in the context of disease surveillance it's a variety of data and there are other models and disease surveillance data are produced with these systems and are shared in the model of disease surveillance so that these data are used to repost there is also another effort to have an alert system integrated that can aggregate different data from different sources in the past there have been projects in some provinces to alert the farmers through notifications especially what is such a crisis we have put in place this repertoire with information that can be found in DHS2 and we had to link this with the health information management system to give the Ministry of Health a platform that can be used to manage information and the effects of crises such as cyclones and other threats that affected the country very recently in the DHS2 process we started you know there was a project that used climatological data to implement this project we used climatic data and global data we analysed the data and discussions about this data and we were we were in fact we were recommended to have local data national data and we benefited from it to understand the data to generate collect data at the local level we started to visit the meteorological station you can see photos these are the stations that produce data they do it regularly and these data are sent south of the platforms and these data can be shared or used with other models and we can link this with DHS2 so that information is used to prepare for crises for example with the first exercise an adoption of climatological data we did with Malawi there were predictions about the causes of malaria we used a specific model not to predict these crises as I said information was sent by meteorological stations and here you can see the boards that produced data that were sent regularly and there is the possibility if for example there are crises there is a possibility to have data in each district there are districts that use data that were produced the previous week thank you this is the end of our presentation you have shown us how we can really do pre-cause alerts so I think there are a few minutes left for two or three questions so if you have any questions you can ask an example for a new bus word one health intelligence but some tangible things behind it and I think we also have seen that I think I think that the use cases for malaria we have seen an example of Mozambique we have seen that in a field where we focus on pre-cause alerts so it is really interesting to have an evaluation to see in what extent it is useful and effective with these pre-cause alerts because it is something new I think the results will be very important especially in the future so we will be able to draw evaluations that could be done in relation to these systems thank you very much I am from Malawi I am in the health sector in Malawi I think Nami it is like the health management system but we are at the same level as the communities we are very working with the communities so how can these tools really be aligned? My department is already in the community so how can we align these two systems secondly in relation to collaboration I asked myself were you able to collaborate with the health resources as well as universities are you able to collaborate with them? Thank you very much to me Jennifer would like to answer this question thank you very much for the two questions you just asked I think my colleagues could add something in relation to the alignment of the two systems I think we have to do an evaluation once back in the country and try to find the best approach that could help us align the two systems the ministry to own administrative the ministry and the community also collecting data and what connects the information in the critical sector and in the health sector these two these two groups are different the two ministers should be aligned the two systems working with the ministry of natural resources and we have worked with Luanda when we were bringing our research and there are reports that have been produced at the minister's level thank you very much to our presenter you can continue the reflection the discussion thank you very much we will begin the next session