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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

World Health Organization Early Warning, Alert and Response System in the Rohingya Crisis, Bangladesh, 2017–2018

Open access

Abstract

The Early Warning, Alert and Response System (EWARS) is a web-based system and mobile application for outbreak detection and response in emergency settings. EWARS provided timely information on epidemic-potential diseases among >700,000 Rohingya refugees across settlements. EWARS helped in targeting new measles vaccination campaigns and investigating suspected outbreaks of acute jaundice syndrome.

Overview

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Integrity signals

Registry

Crossref · 10.3201/eid2411.181237

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Examples of the World Health Organization EWARS supplies used for public health surveillance of Rohingya refugee populations in Bangladesh, 2017–2018. A) EWARS in a box. B) EWARS mobile application. EWARS, Early Warning, Alert and Response System.
Figure 1 Examples of the World Health Organization EWARS supplies used for public health surveillance of Rohingya refugee populations in Bangladesh, 2017–2018. A) EWARS in a box. B) EWARS mobile application. EWARS, Early Warning, Alert and Response System.CC BY · PubMed Central
Figure 2 Screenshots of maps and alerts generated by the World Health Organization Early Warning, Alert and Response System during week 1, January 2018, in Rohingya refugee settlements in Cox’s Bazar, Bangladesh. A) Measles; B) acute jaundice syndrome.
Figure 2 Screenshots of maps and alerts generated by the World Health Organization Early Warning, Alert and Response System during week 1, January 2018, in Rohingya refugee settlements in Cox’s Bazar, Bangladesh. A) Measles; B) acute jaundice syndrome.CC BY · PubMed Central

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Citations

Cites

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Cited by

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Metadata

Authors
Karo, B., Haskew, C., Khan, A. S., Polonsky, J. A., Mazhar, M. K. A., & Buddha, N.
Affiliations
  • Public Health England (GB)
  • World Health Organization (CH)
Corresponding author
Karo, Basel
Venue
Emerging Infectious Diseases
Published
2018-11
Volume
24
Issue
11
Pages
2074-2076
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2896535915
Cited by
51
References
3
Citations by year
2026: 1 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 10 · 2021: 18 · 2020: 10 · 2019: 2
FWCI
5.86
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Emerging infectious diseases (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Explore Bristol Research (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
  • Health Sciences › Health Professions › General Health Professions › Health and Conflict Studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
Keywords
Rohingya refugees, refugee health, outbreak detection, measles vaccination campaign, emergency situations, mobile application, disease surveillance
MeSH terms
Bangladesh, Disease Outbreaks, Emergencies, Female, Humans, Male, Measles, Refugees, World Health Organization, Cell Phone, Public Health Surveillance, Mobile Applications

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This page
CoChat. (2026). Citation check: World Health Organization Early Warning, Alert and Response System in the Rohingya Crisis, Bangladesh, 2017–2018. https://app.cochat.ai/papers/10.3201/eid2411.181237
The paper
Karo, B., Haskew, C., Khan, A. S., Polonsky, J. A., Mazhar, M. K. A., & Buddha, N. (2018). World Health Organization Early Warning, Alert and Response System in the Rohingya Crisis, Bangladesh, 2017–2018. Emerging Infectious Diseases. https://doi.org/10.3201/eid2411.181237

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.