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Ecological, Social, and Other Environmental Determinants of Dengue Vector Abundance in Urban and Rural Areas of Northeastern Thailand

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  • Md. Siddikur Rahman

    (Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
    Department of Statistics, Begum Rokeya University, Rangpur 5404, Bangladesh)

  • Tipaya Ekalaksananan

    (Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
    HPV & EBV and Carcinogenesis Research Group, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Sumaira Zafar

    (Environmental Engineering and Management Program, Asian Institute of Technology, Pathumthani 12120, Thailand)

  • Petchaboon Poolphol

    (Office of Disease Prevention and Control 10, Ubon Ratchathani 35000, Thailand)

  • Oleg Shipin

    (Environmental Engineering and Management Program, Asian Institute of Technology, Pathumthani 12120, Thailand)

  • Ubydul Haque

    (Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, North Texas, Fort Worth, TX 76107, USA)

  • Richard Paul

    (Unité de la Génétique Fonctionnelle des Maladies Infectieuses, Institut Pasteur, CNRS UMR 2000, 75015 Paris, France)

  • Joacim Rocklöv

    (Department of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden)

  • Chamsai Pientong

    (Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
    HPV & EBV and Carcinogenesis Research Group, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Hans J. Overgaard

    (Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
    Faculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1430 Ås, Norway)

Abstract

Aedes aegypti is the main vector of dengue globally. The variables that influence the abundance of dengue vectors are numerous and complex. This has generated a need to focus on areas at risk of disease transmission, the spatial-temporal distribution of vectors, and the factors that modulate vector abundance. To help guide and improve vector-control efforts, this study identified the ecological, social, and other environmental risk factors that affect the abundance of adult female and immature Ae. aegypti in households in urban and rural areas of northeastern Thailand. A one-year entomological study was conducted in four villages of northeastern Thailand between January and December 2019. Socio-demographic; self-reported prior dengue infections; housing conditions; durable asset ownership; water management; characteristics of water containers; knowledge, attitudes, and practices (KAP) regarding climate change and dengue; and climate data were collected. Household crowding index (HCI), premise condition index (PCI), socio-economic status (SES), and entomological indices (HI, CI, BI, and PI) were calculated. Negative binomial generalized linear models (GLMs) were fitted to identify the risk factors associated with the abundance of adult females and immature Ae. aegypti . Urban sites had higher entomological indices and numbers of adult Ae. aegypti mosquitoes than rural sites. Overall, participants’ KAP about climate change and dengue were low in both settings. The fitted GLM showed that a higher abundance of adult female Ae. aegypti was significantly ( p < 0.05) associated with many factors, such as a low education level of household respondents, crowded households, poor premise conditions, surrounding house density, bathrooms located indoors, unscreened windows, high numbers of wet containers, a lack of adult control, prior dengue infections, poor climate change adaptation, dengue, and vector-related practices. Many of the above were also significantly associated with a high abundance of immature mosquito stages. The GLM model also showed that maximum and mean temperature with four-and one-to-two weeks of lag were significant predictors ( p < 0.05) of the abundance of adult and immature mosquitoes, respectively, in northeastern Thailand. The low KAP regarding climate change and dengue highlights the engagement needs for vector-borne disease prevention in this region. The identified risk factors are important for the critical first step toward developing routine Aedes surveillance and reliable early warning systems for effective dengue and other mosquito-borne disease prevention and control strategies at the household and community levels in this region and similar settings elsewhere.

Suggested Citation

  • Md. Siddikur Rahman & Tipaya Ekalaksananan & Sumaira Zafar & Petchaboon Poolphol & Oleg Shipin & Ubydul Haque & Richard Paul & Joacim Rocklöv & Chamsai Pientong & Hans J. Overgaard, 2021. "Ecological, Social, and Other Environmental Determinants of Dengue Vector Abundance in Urban and Rural Areas of Northeastern Thailand," IJERPH, MDPI, vol. 18(11), pages 1-23, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5971-:d:567612
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    1. Meghan Matlack & Hannah Covert & Arti Shankar & Wilco Zijlmans & Firoz Abdoel Wahid & Ashna Hindori-Mohangoo & Maureen Lichtveld, 2023. "Development of a Pilot Literacy Scale to Assess Knowledge, Attitudes, and Behaviors towards Climate Change and Infectious Disease Dynamics in Suriname," IJERPH, MDPI, vol. 20(24), pages 1-14, December.
    2. Adivânia Cardoso da Silva & Paulo Sérgio Scalize, 2023. "Environmental Variables Related to Aedes aegypti Breeding Spots and the Occurrence of Arbovirus Diseases," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    3. A. S. M. Maksud Kamal & Md. Nahid Al-Montakim & Md. Asif Hasan & Mst. Maxim Parvin Mitu & Md. Yousuf Gazi & Md. Mahin Uddin & Md. Bodruddoza Mia, 2023. "Relationship between Urban Environmental Components and Dengue Prevalence in Dhaka City—An Approach of Spatial Analysis of Satellite Remote Sensing, Hydro-Climatic, and Census Dengue Data," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    4. Sumaira Zafar & Oleg Shipin & Richard E. Paul & Joacim Rocklöv & Ubydul Haque & Md. Siddikur Rahman & Mayfong Mayxay & Chamsai Pientong & Sirinart Aromseree & Petchaboon Poolphol & Tiengkham Pongvongs, 2021. "Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand," IJERPH, MDPI, vol. 18(17), pages 1-25, September.

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