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Protocol for Dengue Infections in Mosquitoes (A. aegypti) and Infection Phenotype Determination
Published on: July 4, 2007
Multi-level analyses of spatial and temporal determinants for dengue infection
Sophie O Vanwambeke1, Birgit H B van Benthem, Nardlada Khantikul
1Department of Geography, Université Catholique de Louvain, Place Pasteur, 3, 1348 Louvain-la-Neuve, Belgium. vanwambeke@geog.ucl.ac.be
International Journal of Health Geographics
|January 20, 2006
Summary
Dengue infection rates in Thailand varied significantly by time and location, influenced by environmental factors like irrigated fields. Understanding these spatial and temporal patterns is crucial for effective dengue control programs.
Area of Science:
- Epidemiology
- Public Health
- Environmental Science
Background:
- Dengue is a widespread mosquito-borne viral illness prevalent in tropical regions.
- Dengue fever and dengue hemorrhagic fever are significant causes of child mortality and hospitalization in Thailand.
Purpose of the Study:
- To investigate the spatial and temporal factors influencing recent dengue infection.
- To analyze dengue infection determinants at individual, household, and temporal levels in northern Thailand.
Main Methods:
- A longitudinal study involving 1750 participants in northern Thailand (2001-2003).
- Data collection through questionnaires, land-cover maps, and Geographic Information Systems (GIS).
- Detection of dengue IgM antibodies via ELISA and analysis using three-level multi-level models.
Main Results:
- Recent dengue infection rates fluctuated between 4% and 30%, with a peak in 2002.
- Significant spatial clustering of dengue infections was observed, with local patterns varying by site.
- Environmental factors, including proximity to irrigated fields and orchards, were identified as key determinants.
Conclusions:
- Asymptomatic dengue infections exhibit a focal distribution.
- The dynamic spatial and temporal variations in dengue infection determinants necessitate localized control strategies.
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