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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

Author

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  • A. S. M. Maksud Kamal

    (Department of Disaster Science and Climate Resilience, University of Dhaka, Dhaka 1000, Bangladesh)

  • Md. Nahid Al-Montakim

    (Geoinformatics Laboratory, Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh)

  • Md. Asif Hasan

    (Geoinformatics Laboratory, Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh)

  • Mst. Maxim Parvin Mitu

    (Directorate General of Health Services, Mohakhali, Dhaka 1212, Bangladesh)

  • Md. Yousuf Gazi

    (Geoinformatics Laboratory, Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh)

  • Md. Mahin Uddin

    (Geoinformatics Laboratory, Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh)

  • Md. Bodruddoza Mia

    (Geoinformatics Laboratory, Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh)

Abstract

Dengue fever is a tropical viral disease mostly spread by the Aedes aegypti mosquito across the globe. Each year, millions of people have dengue fever, and many die as a result. Since 2002, the severity of dengue in Bangladesh has increased, and in 2019, it reached its worst level ever. This research used satellite imagery to determine the spatial relationship between urban environmental components (UEC) and dengue incidence in Dhaka in 2019. Land surface temperature (LST), urban heat-island (UHI), land-use–land-cover (LULC), population census, and dengue patient data were evaluated. On the other hand, the temporal association between dengue and 2019 UEC data for Dhaka city, such as precipitation, relative humidity, and temperature, were explored. The calculation indicates that the LST in the research region varies between 21.59 and 33.33 degrees Celsius. Multiple UHIs are present within the city, with LST values ranging from 27 to 32 degrees Celsius. In 2019, these UHIs had a higher incidence of dengue. NDVI values between 0.18 and 1 indicate the presence of vegetation and plants, and the NDWI identifies waterbodies with values between 0 and 1. About 2.51%, 2.66%, 12.81%, and 82% of the city is comprised of water, bare ground, vegetation, and settlement, respectively. The kernel density estimate of dengue data reveals that the majority of dengue cases were concentrated in the city’s north edge, south, north-west, and center. The dengue risk map was created by combining all of these spatial outputs (LST, UHI, LULC, population density, and dengue data) and revealed that UHIs of Dhaka are places with high ground temperature and lesser vegetation, waterbodies, and dense urban characteristics, with the highest incidence of dengue. The average yearly temperature in 2019 was 25.26 degrees Celsius. May was the warmest month, with an average monthly temperature of 28.83 degrees Celsius. The monsoon and post-monsoon seasons (middle of March to middle of September) of 2019 sustained higher ambient temperatures (>26 °C), greater relative humidity (>80%), and at least 150 mm of precipitation. The study reveals that dengue transmits faster under climatological circumstances characterized by higher temperatures, relative humidity, and precipitation.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3858-:d:1076160
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    References listed on IDEAS

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    1. 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.
    2. Bertrand Lefebvre & Rojina Karki & Renaud Misslin & Kanchana Nakhapakorn & Eric Daudé & Richard E. Paul, 2022. "Importance of Public Transport Networks for Reconciling the Spatial Distribution of Dengue and the Association of Socio-Economic Factors with Dengue Risk in Bangkok, Thailand," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
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    Cited by:

    1. Jaruwan Wongbutdee & Jutharat Jittimanee & Suwaporn Daendee & Pongthep Thongsang & Wacharapong Saengnill, 2024. "Exploring the Relationship between Melioidosis Morbidity Rate and Local Environmental Indicators Using Remotely Sensed Data," IJERPH, MDPI, vol. 21(5), pages 1-18, May.

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