The impact of control strategies and behavioural changes on the elimination of Ebola from Lofa County, Liberia

Author:

Funk Sebastian1ORCID,Ciglenecki Iza2,Tiffany Amanda3,Gignoux Etienne3,Camacho Anton1,Eggo Rosalind M.1,Kucharski Adam J.1,Edmunds W. John1,Bolongei Josephus4,Azuma Phillip4,Clement Peter5,Alpha Tamba S.4,Sterk Esther2,Telfer Barbara2,Engel Gregory2,Parker Lucy Anne267,Suzuki Motoi28,Heijenberg Nico2,Reeder Bruce29

Affiliation:

1. Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E, UK

2. Operational Centre Geneva, Médecins Sans Frontières, 1211 Geneva, Switzerland

3. Epicentre, 1211 Geneva, Switzerland

4. Lofa County Health Office, Ministry of Health and Social Welfare, 7500 Voinjama, Liberia

5. Monrovia Country Office, World Health Organization, 1000 Monrovia, Liberia

6. CIBER Epidemiología y Salud Pública, 28029 Madrid, Spain

7. Department of Public Health, Universidad Miguel Hernández, 03202 Alicante, Spain

8. Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan

9. College of Medicine, University of Saskatchewan, Saskatoon, Canada S7N 5E5

Abstract

The Ebola epidemic in West Africa was stopped by an enormous concerted effort of local communities and national and international organizations. It is not clear, however, how much the public health response and behavioural changes in affected communities, respectively, contributed to ending the outbreak. Here, we analyse the epidemic in Lofa County, Liberia, lasting from March to November 2014, by reporting a comprehensive time line of events and estimating the time-varying transmission intensity using a mathematical model of Ebola transmission. Model fits to the epidemic show an alternation of peaks and troughs in transmission, consistent with highly heterogeneous spread. This is combined with an overall decline in the reproduction number of Ebola transmission from early August, coinciding with an expansion of the local Ebola treatment centre. We estimate that healthcare seeking approximately doubled over the course of the outbreak, and that isolation of those seeking healthcare reduced their reproduction number by 62% (mean estimate, 95% credible interval (CI) 59–66). Both expansion of bed availability and improved healthcare seeking contributed to ending the epidemic, highlighting the importance of community engagement alongside clinical intervention. This article is part of the themed issue ‘The 2013–2016 West African Ebola epidemic: data, decision-making and disease control’.

Funder

Research for Health in Humanitarian Crises

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

Reference51 articles.

1. World Health Organization. 2016 Ebola situation report . http://apps.who.int/ebola/current-situation/ebola-situation-report-6-january-2016.

2. World Health Organization. Ebola virus disease in Liberia. 30 March 2014 . http://www.who.int/csr/don/2014_03_30_ebola_lbr/en/.

3. World Health Organization. Ebola virus disease West Africa— update. 1 April 2014 . http://www.who.int/csr/don/2014_04_01_ebola/en/.

4. Emergence of Zaire Ebola Virus Disease in Guinea

5. Evidence for a decrease in transmission of Ebola virus–Lofa County, Liberia, June 8–November 1, 2014;Sharma A;Morb. Mortal. Wkly Rep.,2014

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