Using Population Mobility Patterns to Adapt COVID-19 Response Strategies in 3 East Africa Countries
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Public Domain
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12 2022
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File Language:
English
Details
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Alternative Title:Emerg Infect Dis
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Personal Author:Merrill, Rebecca D. ; Kilamile, Fadhili ; White, Mwabi ; Eurien, Daniel ; Mehta, Kanan ; Ojwang, Joseph ; Laurent-Comlan, Marianne ; Babigumira, Peter Ahabwe ; Nakiire, Lydia ; Boos, Alexandra ; Gatei, Wangeci ; Harris, Julie R. ; Magazani, Alain ; Ocom, Felix ; Ssekubugu, Robert ; Kigozi, Godfrey ; Senyana, Florent ; Iyese, Francis B. ; Elyanu, Peter James ; Ward, Sarah ; Makumbi, Issa ; Muruta, Allan ; McIntyre, Elvira ; Massa, Khalid ; Ario, Alex R. ; Mayinja, Harriet ; Remidius, Kakulu ; Ndungi, Dede N.
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Description:The COVID-19 pandemic spread between neighboring countries through land, water, and air travel. Since May 2020, ministries of health for the Democratic Republic of the Congo, Tanzania, and Uganda have sought to clarify population movement patterns to improve their disease surveillance and pandemic response efforts. Ministry of Health-led teams completed focus group discussions with participatory mapping using country-adapted Population Connectivity Across Borders toolkits. They analyzed the qualitative and spatial data to prioritize locations for enhanced COVID-19 surveillance, community outreach, and cross-border collaboration. Each country employed varying toolkit strategies, but all countries applied the results to adapt their national and binational communicable disease response strategies during the pandemic, although the Democratic Republic of the Congo used only the raw data rather than generating datasets and digitized products. This 3-country comparison highlights how governments create preparedness and response strategies adapted to their unique sociocultural and cross-border dynamics to strengthen global health security.
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Subjects:
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Source:Emerg Infect Dis. 2022; 28(Suppl 1):S105-S113
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Pubmed ID:36502402
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Pubmed Central ID:PMC9745238
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Document Type:
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Place as Subject:
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Volume:28
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Collection(s):
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Main Document Checksum:urn:sha256:35b34d529eea1c9e1b8b98a528af4f505d60acff4131e7d57b20da5ab7a9f929
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File Type:
Supporting Files
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