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The Differential Impact of Violence on Ebola Virus Disease Transmission: A Mathematical Modeling Study of the 2018-2019 Outbreak in the Democratic Republic of the Congo

29 Pages Posted: 18 Oct 2019

See all articles by J. Daniel Kelly

J. Daniel Kelly

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics; University of California, San Francisco (UCSF) - F. I. Proctor Foundation

S. Rae Wannier

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Cyrus Sinai

University of North Carolina (UNC) at Chapel Hill - Department of Geography

Caitlin A. Moe

University of Washington - Department of Epidemiology

Nicole A. Hoff

University of California, Los Angeles (UCLA) - Jonathan and Karin Fielding School of Public Health

Seth Blumberg

University of California, San Francisco (UCSF) - F. I. Proctor Foundation

Bernice Selo

Democratic Republic of Congo

Mathais Mossoko

Democratic Republic of Congo - Ministry of Health

Emile Okitolonda-Wemakoy

Democratic Republic of Congo

George W. Rutherford

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Thomas M. Lietman

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Jean Jacques Muyembe-Tamfum

Democratic Republic of Congo - Ministry of Health

Anne W. Rimoin

University of California, Los Angeles (UCLA) - Department of Epidemiology

Travis C. Porco

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Eugene T. Richardson

Harvard University - Harvard Medical School

More...

Abstract

Background: Violence can impact Ebola virus disease (EVD) transmission in the current outbreak in the eastern Democratic Republic of the Congo (DRC). We hypothesized that violent events targeted against the Ebola response will be associated with more EVD transmission than untargeted events.

Methods: We used a dynamic cohort of individuals who lived in Ebola-affected and unaffected health zones in DRC from April 2018 to August 2019. The time-varying exposure was the number of violent events, as defined by the Armed Conflict Location & Event Data Project (ACLED) database, that occurred in each health zone over a series of days. These violent events were categorized into "Ebola-targeted" vs. "Ebola-untargeted", and further sub-categorized by "civilians," "military or politics," or "protests." The outcome variable was the estimated daily reproduction number (Rest) by health zone, which was estimated from daily EVD case counts (from DRC Ministry of Health) by the Wallinga-Teunis method. We fit a linear time-series regression to model the relationship of violent events and R comparing EVD-affected and unaffected health zones.

Findings: The average Rest was 1.06 (95% confidence interval [CI]: 1.02-1.11). We found an overall change in R of 0.035 (95% CI: 0.020-0.050) among Ebola-affected compared to unaffected health zones. Violent events targeting the Ebola response were associated with an increase in Rest of 0.098 (95% CI: 0.064-0.132) while untargeted, violent events had a smaller effect (0.022, 95% CI: 0.005-0.038). Additional analyses showed the increase in Rest was primarily driven by Ebola-targeted civilian events and, to a lesser extent, by Ebola-untargeted military, political, or protest events.

Interpretation: These findings suggest that civilian acts of violence directly targeted against the Ebola response efforts had the largest impact on EVD transmission. To a lesser extent, untargeted military, political, or protest events also had an impact.

Funding Statement: This work was supported by National Institute of Allergy and Infectious Disease (K08 grant number AI139361 to ETR; K23 grant number AI135037 to JDK) and National Institute of General Medical Sciences (R01 grant number GM130900 to TCP, JDK, and ETR).

Declaration of Interests: The authors stated: "None to declare."

Ethics Approval Statement: The authors stated: "Data were publicly available and de-identified, so ethics committee approval was not needed."

Keywords: Ebola virus disease; violence; transmission; Democratic Republic of the Congo; Africa

Suggested Citation

Kelly, J. Daniel and Wannier, S. Rae and Sinai, Cyrus and Moe, Caitlin A. and Hoff, Nicole A. and Blumberg, Seth and Selo, Bernice and Mossoko, Mathais and Okitolonda-Wemakoy, Emile and Rutherford, George W. and Lietman, Thomas M. and Muyembe-Tamfum, Jean Jacques and Rimoin, Anne W. and Porco, Travis C. and Richardson, Eugene T., The Differential Impact of Violence on Ebola Virus Disease Transmission: A Mathematical Modeling Study of the 2018-2019 Outbreak in the Democratic Republic of the Congo (October 14, 2019). Available at SSRN: https://ssrn.com/abstract=3469739 or http://dx.doi.org/10.2139/ssrn.3469739

J. Daniel Kelly (Contact Author)

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics ( email )

Third Avenue and Parnassus
San Francisco, CA 94143
United States

University of California, San Francisco (UCSF) - F. I. Proctor Foundation ( email )

San Francisco, CA
United States

S. Rae Wannier

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Third Avenue and Parnassus
San Francisco, CA 94143
United States

Cyrus Sinai

University of North Carolina (UNC) at Chapel Hill - Department of Geography

Chapel Hill, NC 27599
United States

Caitlin A. Moe

University of Washington - Department of Epidemiology

Seattle, WA 98195
United States

Nicole A. Hoff

University of California, Los Angeles (UCLA) - Jonathan and Karin Fielding School of Public Health

650 Charles E. Young Drive South
Los Angeles, CA 90095
United States

Seth Blumberg

University of California, San Francisco (UCSF) - F. I. Proctor Foundation

San Francisco, CA
United States

Bernice Selo

Democratic Republic of Congo

Congo, Republic of

Mathais Mossoko

Democratic Republic of Congo - Ministry of Health

Emile Okitolonda-Wemakoy

Democratic Republic of Congo

Congo, Republic of

George W. Rutherford

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics ( email )

Third Avenue and Parnassus
San Francisco, CA 94143
United States

Thomas M. Lietman

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Third Avenue and Parnassus
San Francisco, CA 94143
United States

Jean Jacques Muyembe-Tamfum

Democratic Republic of Congo - Ministry of Health

Congo, Democratic Republic of the (Zaire)

Anne W. Rimoin

University of California, Los Angeles (UCLA) - Department of Epidemiology ( email )

Los Angeles, CA 90095-1772
United States

Travis C. Porco

University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics

Third Avenue and Parnassus
San Francisco, CA 94143
United States

Eugene T. Richardson

Harvard University - Harvard Medical School

25 Shattuck St
Boston, MA 02115
United States