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Lessons Learned Research: WASH Sector, COVID-19 Situational Analysis Project
From the Introduction: "This research has involved a range of actors within the humanitarian sector, starting with the iMMAP [Information Management & Mine Action Programs] analysts located in the six countries of study and the WASH [water, sanitation and hygiene] officers of INGOs, who were able to collect primary data directly from the field. The team leader and the staff also collected information for iMMAPs monthly Situation Analysis Reports, including all the sectors and many other observations within the different countries. The six countries that were targeted for this research are Bangladesh, Burkina Faso, Colombia, the Democratic Republic of the Congo [DRC], Nigeria, and Syria. This study aims to identify the best practices to collect information in crises such as the COVID-19 [coronavirus disease 2019] pandemic. The best way to avoid the problems raised by the pandemic is to learn from mistakes and replicate their successes. Key informants provided valuable information on the lessons learned on data collection during COVID-19. These lessons range from the very first part of a project cycle (proposal and development phase) until the final evaluation of projects and the interaction and coordination mechanisms between different humanitarian WASH actors, sectors, and national and local authorities. It is also exciting to see how new technologies support data collection in all the countries and how the community-perceptions approach utilized by OXFAM in DRC, Burkina Faso, Syria, and Action Contre la Faim in Nigeria has proved to be successful."
United States. Agency for International Development; Information Management & Mine Action Programs; Data Friendly Space
Corbi, Jaime
2021-12-09?
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Lessons Learned Research: Food Security, COVID-19 Situational Analysis Project
From the Introduction: "In July 2020, iMMAP [Information Management & Mine Action Programs] launched the Global COVID-19 [coronavirus disease 2019] Situation Analysis Project funded by the Bureau of Humanitarian Assistance (BHA) of USAID and implemented in Bangladesh, Burkina Faso, Colombia, DRC [Democratic Republic of the Congo], Nigeria, and Syria. The project aims to strengthen the information flow and analysis capacities by addressing challenges in data and information comprehensiveness, consistency, and value. This will enable humanitarian organizations to better understand the humanitarian impact of COVID-19 and support response operations. Based on an in-depth collation, review, and synthesis of secondary data via the DEEP [hyperlink] platform, this project produces monthly situation analysis reports that provide humanitarian stakeholders with comprehensive information on the spread of COVID-19 and related humanitarian consequences. After one year of implementation, the project is now seeking to document and report on lessons learned. Sector-based research was launched in July 2021 to explore data availability and quality; challenges, opportunities, and adaptations for each of the selected sectors for this research; and present lessons learned and recommendations. The sectors that will comprise this global research are Education, Food Security, Livelihoods, Protection, and WASH [water, sanitation and hygiene]. The focus of this piece of research is Food Security."
United States. Agency for International Development; Information Management & Mine Action Programs; Data Friendly Space
Khan, Fakhr-e-Alam
2021-12-09?
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Lessons Learned Research: Livelihood Sector, COVID-19 Situational Analysis Project
From the Introduction: "In July 2020, iMMAP [Information Management & Mine Action Programs] and DFS [Data Friendly Space] initiated the 'COVID-19 [coronavirus disease 2019] Situational Analysis project' funded by the BHA [Bureau of Humanitarian Assistance] of USAID [U.S. Agency for International Development]. The project provided a solution to the growing global need for information, assessment and analysis among humanitarian stakeholders. The project team was working towards strengthening the information flow available to the humanitarian actors to enable humanitarian organizations to better respond to the COVID-19 pandemic with focus on Bangladesh, Burkina Faso, Colombia, DRC [Democratic Republic of the Congo], Nigeria and Syria. During 2020, iMMAP teams have collected and aggregated and synthesized data from different sources to produce monthly situational analysis reports. The monthly reports were widely utilized and facilitated a better understanding of the humanitarian impact of COVID-19, and support partners in planning and targeting response operations amid the global crisis. [...] The aim of the research was to come up with recommendations based on best practices that could be implemented in various contexts, especially countries of focus. In addition, cross learning between countries would also help in improving the data availability and quality resulting in effective and efficient response to COVID-19 and policy formulation for similar pandemics in future. The research through review of secondary information and KIIs [key informant interviews] addressed the following research questions: [1] What has been the availability of data to the livelihoods Sector/ Cluster and how has this changed relative to pre-COVID-19? [2] What has been the quality of data available to the livelihoods Sector/ Cluster and how has this changed relative to pre-COVID-19? [3] What challenges have the Sector/ Cluster faced throughout the COVID-19 pandemic? [4] How has the livelihoods sector/cluster adapted to continue to provide services and support during COVID-19? What Lessons Learned are available to the livelihoods sector/Cluster[?] How will COVID-19 affect ways of working moving forward?"
United States. Agency for International Development; Information Management & Mine Action Programs; Data Friendly Space
Khan, Jehangir
2021-12-09?
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