IDEAS home Printed from https://ideas.repec.org/a/zib/zbnees/v6y2022i2p65-70.html
   My bibliography  Save this article

The Construction Site Provides A Suitable Environment For Vector Mosquitoes In The Federal Territory Of Kuala Lumpur, Malaysia

Author

Listed:
  • Faizul Akmal Abdul Rahim

    (Centre for Communicable Diseases Research, Institute for Public Health, National Institute of Health, Ministry of Health, Malaysia, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor Malaysia)

  • Mohd Amierul Fikri Mahmud

    (Centre for Communicable Diseases Research, Institute for Public Health, National Institute of Health, Ministry of Health, Malaysia, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor Malaysia)

  • Mohd Farihan Md Yatim

    (Centre for Communicable Diseases Research, Institute for Public Health, National Institute of Health, Ministry of Health, Malaysia, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor Malaysia)

  • Mohd Hatta Abdul Mutalip

    (Centre for Communicable Diseases Research, Institute for Public Health, National Institute of Health, Ministry of Health, Malaysia, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170 Shah Alam, Selangor Malaysia)

  • Hanipah Shahar

    (Entomology and Pest Unit, Federal Territory of Kuala Lumpur & Putrajaya Health Department, Jalan Cenderasari, Kuala Lumpur 50590, Malaysia)

Abstract

Construction sites are often blamed for dengue outbreaks in surrounding localities. The environment is suitable for immature mosquitoes to develop without predators and the convenience of female mosquitoes to feed on the exposed construction workers. The purposes of this study were to identify the species of mosquitoes present at construction sites and the types of their preferred breeding habitats, and also to determine the vertical distribution of the mosquitoes. Nineteen construction sites in the Federal Territory of Kuala Lumpur were cross-sectionally surveyed for the presence of immature mosquitoes in 2018. All water-holding containers were inspected for the presence of immature mosquitoes. Types of water-holding containers were recorded and counted. The number of immature mosquitoes was counted from each positive container and then transferred to the laboratory for species identification. A total of 1,643 immature mosquitoes were collected, comprising 1,287 larvae and 356 pupae. Aedes aegypti immature was the most abundant mosquito species (76%), followed by Culex quinquefasciatus (19%), and the Aedes albopictus (5%). The most productive breeding sites were flooded floors, drains, plastic containers, elevator shafts, water drums, and pails. We discovered that the immature mosquitoes were most abundant from the ground floor to the second floor, with Ae. aegypti immature could disperse up to the thirteenth floor. This study has provided useful information to the health department regarding the preferred breeding habitats of vector mosquitoes at construction sites. Consequently, it contributes to effective and efficient vector prevention and control measures, thus saving time and manpower.

Suggested Citation

  • Faizul Akmal Abdul Rahim & Mohd Amierul Fikri Mahmud & Mohd Farihan Md Yatim & Mohd Hatta Abdul Mutalip & Hanipah Shahar, 2022. "The Construction Site Provides A Suitable Environment For Vector Mosquitoes In The Federal Territory Of Kuala Lumpur, Malaysia," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 6(2), pages 65-70, June.
    • Handle: RePEc:zib:zbnees:v:6:y:2022:i:2:p:65-70
    DOI: 10.26480/ees.02.2022.65.70
    as

    Download full text from publisher

    File URL: https://environecosystem.com/archives/2ees2022/2ees2022-65-70.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26480/ees.02.2022.65.70?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shaowei Sang & Wenwu Yin & Peng Bi & Honglong Zhang & Chenggang Wang & Xiaobo Liu & Bin Chen & Weizhong Yang & Qiyong Liu, 2014. "Predicting Local Dengue Transmission in Guangzhou, China, through the Influence of Imported Cases, Mosquito Density and Climate Variability," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yujuan Yue & Qiyong Liu, 2019. "Exploring Epidemiological Characteristics of Domestic Imported Dengue Fever in Mainland China, 2014–2018," IJERPH, MDPI, vol. 16(20), pages 1-10, October.
    2. Yujuan Yue & Xiaobo Liu & Dongsheng Ren & Haixia Wu & Qiyong Liu, 2021. "Spatial Dynamics of Dengue Fever in Mainland China, 2019," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    3. Michael Xiaoliang Tong & Alana Hansen & Scott Hanson-Easey & Scott Cameron & Jianjun Xiang & Qiyong Liu & Yehuan Sun & Philip Weinstein & Gil-Soo Han & Craig Williams & Peng Bi, 2015. "Infectious Diseases, Urbanization and Climate Change: Challenges in Future China," IJERPH, MDPI, vol. 12(9), pages 1-12, September.
    4. Hongyan Ren & Lan Zheng & Qiaoxuan Li & Wu Yuan & Liang Lu, 2017. "Exploring Determinants of Spatial Variations in the Dengue Fever Epidemic Using Geographically Weighted Regression Model: A Case Study in the Joint Guangzhou-Foshan Area, China, 2014," IJERPH, MDPI, vol. 14(12), pages 1-13, December.
    5. Yingtao Zhang & Tao Wang & Kangkang Liu & Yao Xia & Yi Lu & Qinlong Jing & Zhicong Yang & Wenbiao Hu & Jiahai Lu, 2016. "Developing a Time Series Predictive Model for Dengue in Zhongshan, China Based on Weather and Guangzhou Dengue Surveillance Data," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 10(2), pages 1-17, February.
    6. Shaowei Sang & Shaohua Gu & Peng Bi & Weizhong Yang & Zhicong Yang & Lei Xu & Jun Yang & Xiaobo Liu & Tong Jiang & Haixia Wu & Cordia Chu & Qiyong Liu, 2015. "Predicting Unprecedented Dengue Outbreak Using Imported Cases and Climatic Factors in Guangzhou, 2014," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(5), pages 1-12, May.
    7. Sheika Henry & Francisco de Assis Mendonça, 2020. "Past, Present, and Future Vulnerability to Dengue in Jamaica: A Spatial Analysis of Monthly Variations," IJERPH, MDPI, vol. 17(9), pages 1-14, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbnees:v:6:y:2022:i:2:p:65-70. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing (email available below). General contact details of provider: https://environecosystem.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.