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
| Autor: | Peter Babigumira Ahabwe, Nick Muneza, Lydia Nakiire, Jonan Gasanani, Mbait, Stephen Nsabiyumva, Issa Makumbi, Allan Muruta, Herman Mwanja, Mohammed Lamorde, Simon Kyazze, Mid, Sarah Ward, Rebecca D. Merrill, Satish K. Pillai, Joseph Ojwang, Richardson Mafigiri, Dickson Ntungire, Richard Walwema, Zeinabou Daffe, Jaco Homsy, Elvira Mclntyre |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Health (social science) Epidemiology Health Toxicology and Mutagenesis Human Migration Population medicine.disease_cause 01 natural sciences Disease Outbreaks 03 medical and health sciences 0302 clinical medicine Health Information Management Health care medicine Humans Uganda 030212 general & internal medicine Full Report 0101 mathematics Socioeconomics education education.field_of_study Communicable disease Ebola virus Community engagement business.industry Public health 010102 general mathematics Community Participation Rwanda Outbreak General Medicine Hemorrhagic Fever Ebola Preparedness Democratic Republic of the Congo business |
| Zdroj: | Morbidity and Mortality Weekly Report |
| ISSN: | 1545-861X 0149-2195 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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