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: Wattanavadee Sriwattanapongse, Metta Kuning, Naratip Jansakul
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/60761
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-607612018-09-10T03:49:31Z Malaria in North - Western Thailand Wattanavadee Sriwattanapongse Metta Kuning Naratip Jansakul Multidisciplinary 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. 2018-09-10T03:49:31Z 2018-09-10T03:49:31Z 2008-03-01 Journal 01253395 2-s2.0-49549103978 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=49549103978&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60761
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Multidisciplinary
spellingShingle Multidisciplinary
Wattanavadee Sriwattanapongse
Metta Kuning
Naratip Jansakul
Malaria in North - Western Thailand
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 Journal
author Wattanavadee Sriwattanapongse
Metta Kuning
Naratip Jansakul
author_facet Wattanavadee Sriwattanapongse
Metta Kuning
Naratip Jansakul
author_sort Wattanavadee Sriwattanapongse
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 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=49549103978&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/60761
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