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The Impact of Different Types of Violence on Ebola Virus Transmission During the 2018–2020 Outbreak in the Democratic Republic of the Congo

BACKGROUND: Our understanding of the different effects of targeted versus nontargeted violence on Ebola virus (EBOV) transmission in Democratic Republic of the Congo (DRC) is limited. METHODS: We used time-series data of case counts to compare individuals in Ebola-affected health zones in DRC, April...

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Detalles Bibliográficos
Autores principales: Kelly, John Daniel, Wannier, Sarah Rae, Sinai, Cyrus, Moe, Caitlin A, Hoff, Nicole A, Blumberg, Seth, Selo, Bernice, Mossoko, Mathais, Chowell-Puente, Gerardo, Jones, James Holland, Okitolonda-Wemakoy, Emile, Rutherford, George W, Lietman, Thomas M, Muyembe-Tamfum, Jean Jacques, Rimoin, Anne W, Porco, Travis C, Richardson, Eugene T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661768/
https://www.ncbi.nlm.nih.gov/pubmed/32255180
http://dx.doi.org/10.1093/infdis/jiaa163
Descripción
Sumario:BACKGROUND: Our understanding of the different effects of targeted versus nontargeted violence on Ebola virus (EBOV) transmission in Democratic Republic of the Congo (DRC) is limited. METHODS: We used time-series data of case counts to compare individuals in Ebola-affected health zones in DRC, April 2018–August 2019. Exposure was number of violent events per health zone, categorized into Ebola-targeted or Ebola-untargeted, and into civilian-induced, (para)military/political, or protests. Outcome was estimated daily reproduction number (R(t)) by health zone. We fit linear time-series regression to model the relationship. RESULTS: Average R(t) was 1.06 (95% confidence interval [CI], 1.02–1.11). A mean of 2.92 violent events resulted in cumulative absolute increase in R(t) of 0.10 (95% CI, .05–.15). More violent events increased EBOV transmission (P = .03). Considering violent events in the 95th percentile over a 21-day interval and its relative impact on R(t), Ebola-targeted events corresponded to R(t) of 1.52 (95% CI, 1.30–1.74), while civilian-induced events corresponded to R(t) of 1.43 (95% CI, 1.21–1.35). Untargeted events corresponded to R(t) of 1.18 (95% CI, 1.02–1.35); among these, militia/political or ville morte events increased transmission. CONCLUSIONS: Ebola-targeted violence, primarily driven by civilian-induced events, had the largest impact on EBOV transmission.