Literature DB >> 21376272

Assessing the spreading patterns of dengue infection and chikungunya fever outbreaks in lower southern Thailand using a geographic information system.

Thanittha Ditsuwan1, Tippawan Liabsuetrakul, Virasakdi Chongsuvivatwong, Suwich Thammapalo, Edward McNeil.   

Abstract

PURPOSE: The aims of this study were to assess the incidence of dengue infection (DEN) and chikungunya fever (CHIK) and determine the direction and speed of CHIK between August 2008 and June 2009 in lower southern Thailand.
METHODS: The National Communicable Disease Surveillance System database and a geographic information system containing data on case locations were combined. R and ArcView were used for identifying incidence, direction, and speed of disease outbreaks.
RESULTS: A total of 27,166 patients were identified, of which 3319 and 23,847 had DEN and CHIK, with incidences of 73 and 521 per 100,000, respectively. The direction of the CHIK outbreak moved from south to north with a median speed of 7.5 km per week. CHIK cases increased after 6 weeks of increasing cumulative rainfall with variation of average daily temperatures (23.7-30.7 degrees C) per week. There was no clear association of DEN with climate variables.
CONCLUSIONS: The combination of surveillance and geographic information system data of DEN and CHIK can be used to determine the speed and direction of disease spread. DEN is endemic, but CHIK is an emerging disease. Because of the rapid spread of CHIK, strict and timely integrated vector control programs after case notification must be implemented.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21376272     DOI: 10.1016/j.annepidem.2010.12.002

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  9 in total

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Authors:  Sompong Vongpunsawad; Duangnapa Intharasongkroh; Thanunrat Thongmee; Yong Poovorawan
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

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Journal:  PLoS Negl Trop Dis       Date:  2013-07-25

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Journal:  J Med Internet Res       Date:  2016-07-01       Impact factor: 5.428

9.  Individual and contextual risk factors for chikungunya virus infection: the SEROCHIK cross-sectional population-based study.

Authors:  A Fred; A Fianu; M Béral; V Guernier; D Sissoko; M Méchain; A Michault; V Boisson; B-A Gaüzère; F Favier; D Malvy; P Gérardin
Journal:  Epidemiol Infect       Date:  2018-05-03       Impact factor: 4.434

  9 in total

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