Malaria in North - Western Thailand

This study is based on the individual hospital case records of malaria routinely reported from 1999 to 2004 in the North-western area of Thailand, which included Mae Hong Son and Tak provinces. The objective of this study was to model the patterns of hospital-diagnosed malaria incidences by month, d...

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Main Authors: Sriwattanapongse W., Kuning M., Jansakul N.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-49549103978&partnerID=40&md5=876cdadf2d316cb142f0f2a38a4d56c1
http://cmuir.cmu.ac.th/handle/6653943832/5606
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-56062014-08-30T02:56:43Z Malaria in North - Western Thailand Sriwattanapongse W. Kuning M. Jansakul N. This study is based on the individual hospital case records of malaria routinely reported from 1999 to 2004 in the North-western area of Thailand, which included Mae Hong Son and Tak provinces. The objective of this study was to model the patterns of hospital-diagnosed malaria incidences by month, district and age-group for the two North-western border provinces in Thailand. The model used linear regression, Poisson regression and negative binomial regression to forecast the districts and age groups in which epidemics are likely to occur in the near future in order to prevent the disease by using suitable measures. Among the models fitted, the best were chosen based on the analysis of deviance and the negative binomial generalized linear model was clearly preferable. The model contains additive effects associated with the season of the year, district, age group and the malaria incidence rates in previous months, and can be used to provide useful short-term forecasts. Having a model that provides such forecasts of disease outbreaks, even if based purely on statistical data analysis, can provide a useful basis for allocation of resources for disease prevention. 2014-08-30T02:56:43Z 2014-08-30T02:56:43Z 2008 Article 01253395 http://www.scopus.com/inward/record.url?eid=2-s2.0-49549103978&partnerID=40&md5=876cdadf2d316cb142f0f2a38a4d56c1 http://cmuir.cmu.ac.th/handle/6653943832/5606 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description This study is based on the individual hospital case records of malaria routinely reported from 1999 to 2004 in the North-western area of Thailand, which included Mae Hong Son and Tak provinces. The objective of this study was to model the patterns of hospital-diagnosed malaria incidences by month, district and age-group for the two North-western border provinces in Thailand. The model used linear regression, Poisson regression and negative binomial regression to forecast the districts and age groups in which epidemics are likely to occur in the near future in order to prevent the disease by using suitable measures. Among the models fitted, the best were chosen based on the analysis of deviance and the negative binomial generalized linear model was clearly preferable. The model contains additive effects associated with the season of the year, district, age group and the malaria incidence rates in previous months, and can be used to provide useful short-term forecasts. Having a model that provides such forecasts of disease outbreaks, even if based purely on statistical data analysis, can provide a useful basis for allocation of resources for disease prevention.
format Article
author Sriwattanapongse W.
Kuning M.
Jansakul N.
spellingShingle Sriwattanapongse W.
Kuning M.
Jansakul N.
Malaria in North - Western Thailand
author_facet Sriwattanapongse W.
Kuning M.
Jansakul N.
author_sort Sriwattanapongse W.
title Malaria in North - Western Thailand
title_short Malaria in North - Western Thailand
title_full Malaria in North - Western Thailand
title_fullStr Malaria in North - Western Thailand
title_full_unstemmed Malaria in North - Western Thailand
title_sort malaria in north - western thailand
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-49549103978&partnerID=40&md5=876cdadf2d316cb142f0f2a38a4d56c1
http://cmuir.cmu.ac.th/handle/6653943832/5606
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