Evidence map›Paper›PMID 40485873›Full record

ArticleGlobal epidemiology2025

Detecting spatial clusters of Crimean Congo hemorrhagic fever in Iraq in 2023.

Hanan Abdulghafoor Khaleel, Riyadh Abdulameer Alhilfi, Sabrina Brown

Abstract read
In one paragraph

Article in Global epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Hanan Abdulghafoor KhaleelCommunicable Diseases Control Centre, Directorate of Public Health, Ministry of Health, Baghdad, Iraq.
Riyadh Abdulameer AlhilfiDirectorate of Public Health, Ministry of Health, Baghdad, Iraq.
Sabrina BrownDepartment of Epidemiology, Kentucky Injury Prevention and Research Center, College of Public Health, University of Kentucky, Lexington, KY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the start of the first large outbreak of Crimean Congo Hemorrhagic Fever (CCHF) in Iraq in 2022, there has been no assessment of clustering of cases by district. The aim of this study is to identify clusters of high and low incidences of human CCHF to guide preventive and control measures, and distribute limited resources. Methods: This is a cross-sectional study of reported and confirmed CCHF cases in Iraq from January 1, 2023 to December 11, 2023. We used a retrospective purely spatial Poisson scan statistic model to identify clusters of high and low incidences of CCHF at the district level ( Findings: There were 580 confirmed CCHF cases, distributed in 149 districts. The incidence was 1.3 per 100,000. There were eight statistically significant clusters (three high-incidence and five low-incidence). The three high-incidence clusters were in the southeast while the five low-incidence clusters were mostly in the north and middle-east Iraq. Interpretation: There is evidence of CCHF clustering in 40 districts in six governorates in south and mid-east Iraq. Additionally, there is evidence of low-incidence clustering of CCHF in 17 governorates, in north and central Iraq, and a risk for future outbreaks. Identifying clusters allows for focused preventive activities, such as insecticide spraying to reduce the tick population, controlling the spread of ticks by treating animals with repellents and other chemicals, and modifying landscapes. Distributing educational materials about handling meat and livestock products and engaging the community can help reduce exposure to ticks and the spread of disease.

Identifiers

PMID40485873
PMCPMC12145691

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