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Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

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Modelling malaria treatment practices in Bangladesh using spatial statistics.

Ubydul Haque¹, Lauren M Scott, Masahiro Hashizume

¹International Center for Diarrheal Disease Research Bangladesh, Mohakhali, Dhaka, Bangladesh. uhaque@jhsph.edu

Malaria Journal

|March 7, 2012

Summary

Malaria treatment choices in Bangladesh vary, with many preferring national programs but others using drug vendors. Understanding local factors is key to improving malaria control and preventing drug resistance.

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Area of Science:

Public Health
Spatial Epidemiology
Health Services Research

Background:

Malaria treatment-seeking behaviors differ globally, with significant variation observed in Bangladesh.
A study in Rajasthali revealed that while some households prefer the National Malaria Control Programme, many rely on drug vendors or alternative treatments.
Exclusive reliance on non-programme treatments poses risks including incomplete treatment, drug misuse, and the development of antimalarial drug resistance.

Purpose of the Study:

To analyze spatial patterns of malaria treatment-seeking practices in rural Bangladesh.
To identify key socio-demographic and environmental factors influencing treatment preferences.
To assess the spatial variability of these factors' predictive power on treatment choices.

Main Methods:

Hot-spot analysis (Local Getis-Ord Gi statistic) was employed to examine spatial patterns.
Ordinary Least Squares (OLS) regression identified significant predictors of treatment preferences.
Geographically Weighted Regression (GWR) assessed the localized influence of these predictors.

Main Results:

Tribal affiliation, housing materials, household density, education level, and proximity to urban centers were significant predictors.
The predictive strength of these factors varied considerably across the study area.
For instance, education's impact on treatment choice differed between villages.

Conclusions:

Identifying geographically specific predictors of treatment-seeking behavior is crucial for targeted malaria control interventions.
Strategies to increase National Malaria Control Programme usage include enhanced training for community health workers (e.g., BRAC), educational initiatives, and addressing economic determinants.