P
Pramote Prasartkul
Researcher at Mahidol University
Publications - 29
Citations - 580
Pramote Prasartkul is an academic researcher from Mahidol University. The author has contributed to research in topics: Population & Infant mortality. The author has an hindex of 12, co-authored 29 publications receiving 501 citations.
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Correlates of unintended pregnancy among currently pregnant married women in Nepal
TL;DR: The results indicate that age of women, age at first marriage, ideal number of children, religion, exposure to radio and knowledge of family planning methods were key predictors of unintended pregnancy.
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Happiness Among Adolescent Students in Thailand: Family and Non-Family Factors
TL;DR: In this article, the authors explored family and non-family factors contributing to happiness among students aged 15-18 in Thailand and found that those who reported sufficient time spent with family members and highest level of love and connectedness were happiest.
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Climate shocks and migration: an agent-based modeling approach
Barbara Entwisle,Nathalie E. Williams,Ashton M. Verdery,Ronald R. Rindfuss,Stephen J. Walsh,George P. Malanson,Peter J. Mucha,Brian G. Frizzelle,Philip McDaniel,Xiaozheng Yao,Benjamin W. Heumann,Pramote Prasartkul,Yothin Sawangdee,Aree Jampaklay +13 more
TL;DR: Experiments with the model show that existing high migration rates and strong selection factors, which are unaffected by climate change, are likely responsible for the weak migration response.
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Epidemiologic transition interrupted: a reassessment of mortality trends in Thailand, 1980–2000
Kenneth Hill,Patama Vapattanawong,Pramote Prasartkul,Yawarat Porapakkham,Stephen S Lim,Stephen S Lim,Alan D. Lopez +6 more
TL;DR: If adult mortality registration has declined, and given the continued under-registration of infant and child deaths, remedial measures are urgently required if the mortality system is to better inform and monitor health development in Thailand.
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From whom do older persons prefer support? The case of rural Thailand.
TL;DR: Rural elderly preferences for support across a multi-dimensional measure of elderly care needs are explored, using a framework developed in the U.S. to Thailand for the first time to help policy makers tailor programs more effectively and efficiently without jeopardizing elderly well-being.