Pandemic influenza H1N1 2009 in Thailand

Background: Developing a quantitative understanding of pandemic influenza dynamics in South- East Asia is important for informing future pandemic planning. Hence, transmission dynamics of influenza A/H1N1 were determined across space and time in Thailand. Methods: Dates of symptom onset were obta...

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Main Authors: Aronrag Meeyai, Ben Cooper, Richard Coker, Wirichada Pan-ngum, Pasakorn Akarasewi, Sopon Iamsirithaworn, อรุณรักษ์ คูเปอร์ มีใย
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Language:English
Published: 2015
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/2570
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spelling th-mahidol.25702023-04-12T15:30:30Z Pandemic influenza H1N1 2009 in Thailand Aronrag Meeyai Ben Cooper Richard Coker Wirichada Pan-ngum Pasakorn Akarasewi Sopon Iamsirithaworn อรุณรักษ์ คูเปอร์ มีใย Aronrag Meeyai Mahidol university. Faculty of Public Health. Department of Epidemiology Mahidol university. Faculty of Tropical Medicine. Department of Tropical Hygiene Mahidol university. Faculty of Tropical Medicine. Mahidol-Oxford Tropical Medicine Research Unit Reproduction Number Pandemic Influenza H1N1 Thailand Open Access article Background: Developing a quantitative understanding of pandemic influenza dynamics in South- East Asia is important for informing future pandemic planning. Hence, transmission dynamics of influenza A/H1N1 were determined across space and time in Thailand. Methods: Dates of symptom onset were obtained for all daily laboratory-confirmed cases of influenza A/H1N1pdm in Thailand from 3 May 2009 to 26 December 2010 for four different geographic regions (Central, North, North-East, and South). These data were analysed using a probabilistic epidemic reconstruction, and estimates of the effective reproduction number, R(t), were derived by region and over time. Results: Estimated R(t) values for the first wave peaked at 1.54 (95% CI: 1.42-1.71) in the Central region and 1.64 (95% CI: 1.38-1.92) in the North, whilst the corresponding values in the North-East and the South were 1.30 (95% CI: 1.17-1.46) and 1.39 (95% CI: 1.32-1.45) respectively. As the R(t) in the Central region fell below one, the value of R(t) in the rest of Thailand increased above one. R(t) was above one for 30 days continuously through the first wave in all regions of Thailand. During the second wave R(t) was only marginally above one in all regions except the South. Conclusions: In Thailand, the value of R(t) varied by region in the two pandemic waves. Higher R(t) estimates were found in Central and Northern regions in the first wave. Knowledge of regional variation in transmission potential is needed for predicting the course of future pandemics and for analysing the potential impact of control measures. This research project was supported by the National Science and Technology Development Agency (NSTDA), Thailand. 2015-10-16T07:32:41Z 2017-07-12T07:55:04Z 2015-10-16T07:32:41Z 2017-07-12T07:55:04Z 2015-10-16 2012 Research Article WHO South-East Asia Journal of Public Health. Vol.1, No.1 (2012), 59-68 https://repository.li.mahidol.ac.th/handle/123456789/2570 eng Mahidol university application/pdf
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
language English
topic Reproduction Number
Pandemic
Influenza
H1N1
Thailand
Open Access article
spellingShingle Reproduction Number
Pandemic
Influenza
H1N1
Thailand
Open Access article
Aronrag Meeyai
Ben Cooper
Richard Coker
Wirichada Pan-ngum
Pasakorn Akarasewi
Sopon Iamsirithaworn
อรุณรักษ์ คูเปอร์ มีใย
Pandemic influenza H1N1 2009 in Thailand
description Background: Developing a quantitative understanding of pandemic influenza dynamics in South- East Asia is important for informing future pandemic planning. Hence, transmission dynamics of influenza A/H1N1 were determined across space and time in Thailand. Methods: Dates of symptom onset were obtained for all daily laboratory-confirmed cases of influenza A/H1N1pdm in Thailand from 3 May 2009 to 26 December 2010 for four different geographic regions (Central, North, North-East, and South). These data were analysed using a probabilistic epidemic reconstruction, and estimates of the effective reproduction number, R(t), were derived by region and over time. Results: Estimated R(t) values for the first wave peaked at 1.54 (95% CI: 1.42-1.71) in the Central region and 1.64 (95% CI: 1.38-1.92) in the North, whilst the corresponding values in the North-East and the South were 1.30 (95% CI: 1.17-1.46) and 1.39 (95% CI: 1.32-1.45) respectively. As the R(t) in the Central region fell below one, the value of R(t) in the rest of Thailand increased above one. R(t) was above one for 30 days continuously through the first wave in all regions of Thailand. During the second wave R(t) was only marginally above one in all regions except the South. Conclusions: In Thailand, the value of R(t) varied by region in the two pandemic waves. Higher R(t) estimates were found in Central and Northern regions in the first wave. Knowledge of regional variation in transmission potential is needed for predicting the course of future pandemics and for analysing the potential impact of control measures.
author2 Aronrag Meeyai
author_facet Aronrag Meeyai
Aronrag Meeyai
Ben Cooper
Richard Coker
Wirichada Pan-ngum
Pasakorn Akarasewi
Sopon Iamsirithaworn
อรุณรักษ์ คูเปอร์ มีใย
format Article
author Aronrag Meeyai
Ben Cooper
Richard Coker
Wirichada Pan-ngum
Pasakorn Akarasewi
Sopon Iamsirithaworn
อรุณรักษ์ คูเปอร์ มีใย
author_sort Aronrag Meeyai
title Pandemic influenza H1N1 2009 in Thailand
title_short Pandemic influenza H1N1 2009 in Thailand
title_full Pandemic influenza H1N1 2009 in Thailand
title_fullStr Pandemic influenza H1N1 2009 in Thailand
title_full_unstemmed Pandemic influenza H1N1 2009 in Thailand
title_sort pandemic influenza h1n1 2009 in thailand
publishDate 2015
url https://repository.li.mahidol.ac.th/handle/123456789/2570
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