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Infect Dis Poverty. 2015 Mar 02;4:9. doi: 10.1186/2049-9957-4-9. eCollection 2015.

Spatial cluster analysis of human cases of Crimean Congo hemorrhagic fever reported in Pakistan.

Infectious diseases of poverty

Tariq Abbas, Muhammad Younus, Sayyad Aun Muhammad

Affiliations

  1. Section of Veterinary Preventive Medicine and Public Health, University College of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
  2. Department of Pathobiology, College of Veterinary and Animal Sciences, Jhang, Pakistan.
  3. Department of Clinical Sciences, College of Veterinary and Animal Sciences, Jhang, Pakistan.

PMID: 25973202 PMCID: PMC4429983 DOI: 10.1186/2049-9957-4-9

Abstract

BACKGROUND: Crimean Congo hemorrhagic fever (CCHF) is a tick-borne viral zoonotic disease that has been reported in almost all geographic regions in Pakistan. The aim of this study was to identify spatial clusters of human cases of CCHF reported in country.

METHODS: Kulldorff's spatial scan statisitc, Anselin's Local Moran's I and Getis Ord Gi* tests were applied on data (i.e. number of laboratory confirmed cases reported from each district during year 2013).

FINDINGS: The analyses revealed a large multi-district cluster of high CCHF incidence in the uplands of Balochistan province near it border with Afghanistan. The cluster comprised the following districts: Qilla Abdullah; Qilla Saifullah; Loralai, Quetta, Sibi, Chagai, and Mastung. Another cluster was detected in Punjab and included Rawalpindi district and a part of Islamabad.

CONCLUSION: We provide empirical evidence of spatial clustering of human CCHF cases in the country. The districts in the clusters should be given priority in surveillance, control programs, and further research.

Keywords: Adjusted cumulative incidence; Clusters; Crimean Congo hemorrhagic fever; Pakistan; Spatial autocorrelation

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