Principal Investigators: Roxana Mullafiroze (IMPACT) & Jiho Cha (University of Manchester)
The COVID-19 pandemic is expected to have a uniquely damaging impact on populations affected by humanitarian crises, exacerbating pre-existing vulnerabilities and multi-sectoral needs in places where health infrastructure and public services are stretched beyond capacity, and social distancing measures are nearly impossible.
Employing a multi-stage sequential analysis, using the crisis-wide Multi-Sector Needs Assessment (MSNA) to conduct primary research, the study will inform prioritization efforts in three humanitarian responses, highlighting target population groups and geographical sub-areas where the COVID-19 pandemic has most impacted the direct and indirect health needs of people affected by crisis.
2019 MSNA data will be used to produce a baseline understanding of vulnerability and resilience among target populations. The 2020 MSNA exercise will then evaluate the longitudinal, multi-sectoral impact of COVID-19 and the unintended consequences of public health measures, including lockdowns and social distancing. These datasets will also be used to inform a COVID-19 risk prediction model in humanitarian settings.
The lack of comprehensive and reliable data is a common problem in humanitarian contexts. This year, the impact of COVID-19 on such crises makes the need for robust needs analysis even greater. This research will help to ensure that humanitarian actors have access to key information regarding the impact of COVID-19 on affected populations and their multi-sectoral needs.
This study will contribute to evidence-based humanitarian decision-making and prioritisation efforts across the three assessed crises. Analysis of the MSNA data is expected to inform the development of Humanitarian Needs Overviews, People in Need calculations, and Humanitarian Response Plans, with the aim of supporting data-driven aid prioritisation in crises that have been exacerbated by the COVID-19 pandemic.
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