Evidence map›Paper›PMID 41035558›Full record

ArticleBulletin of the World Health Organization2025

A simulation-based policy analysis of anticipatory action for cholera outbreaks, Democratic Republic of the Congo.

Pei Shan Loo, Jefferson K Rajah, Hugo Jose Herrera de Leon, Birgit Kopainsky, Leonardo Milano

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pei Shan LooSwiss Tropical and Public Health Institute, Department of Epidemiology and Public Health, Kreuzstrasse 2, Allschwil, 4123, Switzerland.
Jefferson K RajahSystem Dynamics Group, University of Bergen, Bergen, Norway.
Hugo Jose Herrera de LeonSystem Dynamics Group, University of Bergen, Bergen, Norway.
Birgit KopainskySystem Dynamics Group, University of Bergen, Bergen, Norway.
Leonardo MilanoThe Centre for Humanitarian Data, United Nations Office for the Coordination of Humanitarian Affairs, The Hague, Kingdom of the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effect of anticipatory action on outcomes during a cholera outbreak in a hypothetical health zone in the Democratic Republic of the Congo by means of a cholera response model. Methods: Using a system dynamics approach, we developed a cholera response model for the Democratic Republic of the Congo on the basis of a published cholera response simulation model for Yemen. The model evaluated four intervention scenarios: (i) existing responses to cholera outbreaks; (ii) anticipatory action (that is, immediate interventions); (iii) anticipatory action plus one vaccine dose; and (iv) anticipatory action plus two vaccine doses. Findings: The model showed that immediate interventions can function as an essential bridge to comprehensive vaccination, particularly in resource-constrained settings where timely coordination is crucial. Moreover, anticipatory action can reduce the total number of cholera cases. However, booster vaccinations are crucial for preventing subsequent waves of infection due to waning immunity following single-dose vaccination. Conclusion: Anticipatory action can enhance cholera outbreak management in low-resource settings by facilitating synergy between immediate and long-term interventions. The timing and coordination of interventions and the use of booster doses to prevent disease resurgence are all important. Dynamic models are useful for simulating outbreaks and can foster proactive, evidence-based public health planning, thereby supporting the shift from reactive to anticipatory strategies in alignment with the Global Task Force on Cholera Control's 2030 cholera roadmap. Continuous refinement of the model with real-world data will enhance its global applicability and help advance effective disease control strategies.

Indexed as

CholeraDisease OutbreaksHealth PolicyPolicy MakingCholera VaccinesComputer SimulationDemocratic Republic of the CongoHumansCholera Vaccines

Identifiers

PMID41035558
PMCPMC12477517

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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.