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Subseries Ways of life and malaria transmission among the Karen population : Evidence from the cross-border areas, Kanchanaburi, Thailand. - malaria
Identity area
Reference code
TH 2000 Kanchanaburi-Research-Ways of life and malaria transmission among the Karen population : Evidence from the cross-border areas, Kanchanaburi, Thailand.
Title
malaria
Date(s)
- 2007 (Creation)
Level of description
Subseries
Extent and medium
13 pictures
Context area
Name of creator
IPSR
(1971)
Administrative history
Archival history
Title : Ways of life and malaria transmission among the Karen population : Evidence from the cross-border areas, Kanchanaburi, Thailand.
Authors : Bencha Yoddumnern-Attig, Sureeporn Punpuing, Chanya Sethaput, Kriengsak Rojkurisatien and Supanee Pleumcharoen.
Objectives: The objectives are to identify the dynamics of social and behavioral patterns that place people living along the upland cross-border area at risk of contracting malaria and, in turn, to recommend appropriate measures to reduce malaria morbidity and mortality in this area.
Data and Methods: DSS data gathered annually in Kanchanaburi province from 2000-2004 are used since they offer longitudinal information about the dynamics of individuals and families in terms of their changing socio-economic characteristics and mobility patterns. The Kanchanaburi DSS data are linked together with data from the malaria registration record (EP.3) administered by the Malaria Division, Department of Communicable Disease Control, Ministry of Public Health. Consequently, data items that are not primarily collected for DSS purposes are linked with the malaria registration records. These data involve, for example, the patient’s history of staying overnight before contracting a fever (i.e., data and place, purpose, duration), history of blood transfusion, date of previous malaria diagnosis and radical treatment, medicine taking behavior, history of travel after treatment (i.e., date and place of destination), and patient’s self-protection against mosquitoes when in an infected area. Supplementary data will be collected through in-depth interviews and observations. Value added for this particular design comes from data pooled from several sources that supplement each other.
Data analysis and expected results: Quantitative methods will be used for a macro-level data analysis, while qualitative methods will be used for micro-level data analysis. The interconnection between macro and micro levels will be also examined. The data analysis will provide incidence and prevalence rates that vary each year as well as an understanding of possible cause-effect relationships in relation to socio-economic and behavioral dynamics among Karen population. The results can be applied for other ethnic groups who have similar ways of life, especially those living in upland cross-border areas.
Authors : Bencha Yoddumnern-Attig, Sureeporn Punpuing, Chanya Sethaput, Kriengsak Rojkurisatien and Supanee Pleumcharoen.
Objectives: The objectives are to identify the dynamics of social and behavioral patterns that place people living along the upland cross-border area at risk of contracting malaria and, in turn, to recommend appropriate measures to reduce malaria morbidity and mortality in this area.
Data and Methods: DSS data gathered annually in Kanchanaburi province from 2000-2004 are used since they offer longitudinal information about the dynamics of individuals and families in terms of their changing socio-economic characteristics and mobility patterns. The Kanchanaburi DSS data are linked together with data from the malaria registration record (EP.3) administered by the Malaria Division, Department of Communicable Disease Control, Ministry of Public Health. Consequently, data items that are not primarily collected for DSS purposes are linked with the malaria registration records. These data involve, for example, the patient’s history of staying overnight before contracting a fever (i.e., data and place, purpose, duration), history of blood transfusion, date of previous malaria diagnosis and radical treatment, medicine taking behavior, history of travel after treatment (i.e., date and place of destination), and patient’s self-protection against mosquitoes when in an infected area. Supplementary data will be collected through in-depth interviews and observations. Value added for this particular design comes from data pooled from several sources that supplement each other.
Data analysis and expected results: Quantitative methods will be used for a macro-level data analysis, while qualitative methods will be used for micro-level data analysis. The interconnection between macro and micro levels will be also examined. The data analysis will provide incidence and prevalence rates that vary each year as well as an understanding of possible cause-effect relationships in relation to socio-economic and behavioral dynamics among Karen population. The results can be applied for other ethnic groups who have similar ways of life, especially those living in upland cross-border areas.
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