ArticleMMWR. Morbidity and mortality weekly report2020
Population Movement Patterns Among the Democratic Republic of the Congo, Rwanda, and Uganda During an Outbreak of Ebola Virus Disease: Results from Community Engagement in Two Districts - Uganda, March 2019.
Article in MMWR. Morbidity and mortality weekly report, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- A simple approach to identifying community and healthcare locations for hand hygiene interventions during public health emergencies - Uganda, 2020-2022.Discover public health · 2026Article
- Evaluating health system barriers to sexual and reproductive health service delivery during the COVID-19 pandemic in China: a mixed-methods study.Reproductive health · 2025Article
- Barriers to community engagement during the response to an Ebola virus disease outbreak in Uganda.BMJ global health · 2025Article
- The Looming Threat of Dengue Fever: The Africa Context.Open forum infectious diseases · 2024Article
- ATP-based assessments of recent cleaning and disinfection for high-touch surfaces in low-resource shared toilets.NPJ clean water · 2024Article
- Ebola incidence and mortality before and during a lockdown: The 2022 epidemic in Uganda.PLOS global public health · 2023Article
- Risk perception of Ebola virus disease and COVID-19 among transport drivers living in Ugandan border districts.Frontiers in public health · 2023Article
- Using Population Mobility Patterns to Adapt COVID-19 Response Strategies in 3 East Africa Countries.Emerging infectious diseases · 2022Review
- Immunogenicity of rVSVΔG-ZEBOV-GP Ebola vaccination in exposed and potentially exposed persons in the Democratic Republic of the Congo.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Retrospective identification of key activities in Uganda's preparedness measures related to the 2018-2020 EVD outbreak in eastern DRC utilizing a framework evaluation tool.PLOS global public health · 2022Article
- Preventing the cross-border spread of zoonotic diseases: Multisectoral community engagement to characterize animal mobility-Uganda, 2020.Zoonoses and public health · 2021Article
- An approach to integrate population mobility patterns and sociocultural factors in communicable disease preparedness and response.Humanities & social sciences communications · 2021Article
- Rwanda's Resiliency During the Coronavirus Disease Pandemic.Frontiers in psychiatry · 2021Article
- Community engagement for COVID-19 prevention and control: a rapid evidence synthesis.BMJ global health · 2020Review
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Abstract
Tailoring communicable disease preparedness and response strategies to unique population movement patterns between an outbreak area and neighboring countries can help limit the international spread of disease. Global recognition of the value of addressing community connectivity in preparedness and response, through field work and visualizing the identified movement patterns, is reflected in the World Health Organization's declaration on July 17, 2019, that the 10th Ebola virus disease (Ebola) outbreak in the Democratic Republic of the Congo (DRC) was a Public Health Emergency of International Concern (1). In March 2019, the Infectious Diseases Institute (IDI), Uganda, in collaboration with the Ministry of Health (MOH) Uganda and CDC, had previously identified areas at increased risk for Ebola importation by facilitating community engagement with participatory mapping to characterize cross-border population connectivity patterns. Multisectoral participants identified 31 locations and associated movement pathways with high levels of connectivity to the Ebola outbreak areas. They described a major shift in the movement pattern between Goma (DRC) and Kisoro (Uganda), mainly through Rwanda, when Rwanda closed the Cyanika ground crossing with Uganda. This closure led some travelers to use a potentially less secure route within DRC. District and national leadership used these results to bolster preparedness at identified points of entry and health care facilities and prioritized locations at high risk further into Uganda, especially markets and transportation hubs, for enhanced preparedness. Strategies to forecast, identify, and rapidly respond to the international spread of disease require adapting to complex, dynamic, multisectoral cross-border population movement, which can be influenced by border control and public health measures of neighboring countries.
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