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Analysis Of Insecticide Susceptibility Data For Dengue Vectors Using Insecticide Resistance Management System (Irms)

Author

Listed:
  • Rosilawati R

    (Medical Entomology Unit, Infectious Disease Research Centre, Institute for Medical Research, National Institute of Health, Ministry of Health, Selangor, Malaysia)

  • Cheong YL

    (Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Jalan Pahang, 50588 Kuala Lumpur, Malaysia.)

  • Mohd Khairuddin CI

    (Biomedical Research, Strategic & Innovation Management Unit, Institute for Medical Research, National Institute of Health, Ministry of Health, Selangor, Malaysia)

Abstract

Laboratory testing generates data, and data analysis contributes to the production of results that aid in problem resolution. As more samples are tested, more data is generated, and the complexity of data management increases. Surveillance monitoring and real-time assessment are crucial in managing insecticide resistance; consequently, manual management of insecticide resistance data requires digital transformation. The Insecticide Resistance Management System (IRMS) was developed in this study to analyse and manage 244 insecticide susceptibility data. This system permits immediate analysis following the entry of laboratory data. Red dots dominated green dots on a map displayed in IRMS depicting the prevalence of insecticide-resistant mosquito populations in both Aedes species. In addition, the heatmap revealed that the majority of Aedes aegypti were resistant to all tested insecticides during all monitoring cycles. This system circumvents the time-consuming limitations of manual data analysis by enabling rapid result visualisation and report generation.

Suggested Citation

  • Rosilawati R & Cheong YL & Mohd Khairuddin CI, 2023. "Analysis Of Insecticide Susceptibility Data For Dengue Vectors Using Insecticide Resistance Management System (Irms)," Acta Scientifica Malaysia (ASM), Zibeline International Publishing, vol. 7(1), pages 01-07, January.
    • Handle: RePEc:zib:zbnasm:v:7:y:2023:i:1:p:01-07
    DOI: 10.26480/asm.01.2023.01.07
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    References listed on IDEAS

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    1. Peter B. Keenan, 2008. "Geographic Information and Analysis for Decision Support," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 40, pages 65-79, Springer.
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