Evidence map›Paper›PMID 28207062›Full record

ArticleHealth policy and planning2017

Impact of interventions and the incidence of ebola virus disease in Liberia-implications for future epidemics.

Thomas D Kirsch, Heidi Moseson, Moses Massaquoi, Tolbert G Nyenswah, Rachel Goodermote, Isabel Rodriguez-Barraquer, Justin Lessler, Derek A T Cumings, David H Peters

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Health policy and planning, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Stabilizing the return to normal behavior in an epidemic.medRxiv : the preprint server for health sciences · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Viral Pandemics of the Last Four Decades: Pathophysiology, Health Impacts and Perspectives.International journal of environmental research and public health · 2020
    Review
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Thomas D KirschJohns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.
Heidi MosesonDepartment of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Moses MassaquoiLiberian Ministry of Health, Tubman Blvd, Monrovia, Liberia and.
Tolbert G NyenswahLiberian Ministry of Health, Tubman Blvd, Monrovia, Liberia and.
Rachel GoodermoteJohns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.
Isabel Rodriguez-BarraquerJohns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.
Justin LesslerJohns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.
Derek A T CumingsJohns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.
David H PetersJohns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USUniversity of Liberia · LRJohns Hopkins Medicine · USUniversity of California, San Francisco · USUniversity of Florida · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAKOSKI, JOAN M · 2009 to 2018
$16.7M
NIGMS NIH HHS U54 GM088491
6 · The paper itself

Abstract

To better understand the impact of national and global efforts to contain the Ebola virus disease epidemic of 2014–15 in Liberia, we provide a detailed timeline of the major interventions and relate them to the epidemic curve.  In addition to personal experience in the response, we systematically reviewed situation reports from the Liberian government, UN, CDC, WHO, UNICEF, IFRC, USAID, and local and international news reports to create the timeline. We extracted data on the timing and nature of activities and compared them to the timeline of the epidemic curve using the reproduction number—the estimate of the average number of new cases caused by a single case.  Interventions were organized around five major strategies, with the majority of resources directed to the creation of treatment beds. We conclude that no single intervention stopped the epidemic; rather, the interventions likely had reinforcing effects, and some were less likely than others to have made a major impact. We find that the epidemic’s turning coincided with a reorganization of the response in August–September 2014, the emergence of community leadership in control efforts, and changing beliefs and practices in the population. Ebola Treatment Units were important for Ebola treatment, but the vast majority of these treatment centre beds became available after the epidemic curve began declining. Similarly, the United Nations Mission for Ebola Emergency Response was launched after the epidemic curve had already turned.  These findings have significant policy implications for future epidemics and suggest that much of the decline in the epidemic curve was driven by critical behaviour changes within local communities, rather than by international efforts that came after the epidemic had turned. Future global interventions in epidemic response should focus on building community capabilities, strengthening local ownership, and dramatically reducing delays in the response.

Indexed as

Community ParticipationCultureDelivery of Health CareEpidemicsHealth FacilitiesHealth Services ResearchHemorrhagic Fever, EbolaHumansInternational CooperationLiberiaUnited Nations

Identifiers

PMID28207062
PMCPMC6279138
OpenAlexW2541599508

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.