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The Impact of Meteorological Factors on Communicable Disease Incidence and Its Projection: A Systematic Review

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  • Mazni Baharom

    (Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala Lumpur 56000, Malaysia)

  • Norfazilah Ahmad

    (Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala Lumpur 56000, Malaysia)

  • Rozita Hod

    (Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala Lumpur 56000, Malaysia)

  • Fadly Syah Arsad

    (Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala Lumpur 56000, Malaysia)

  • Fredolin Tangang

    (Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia)

Abstract

Background: Climate change poses a real challenge and has contributed to causing the emergence and re-emergence of many communicable diseases of public health importance. Here, we reviewed scientific studies on the relationship between meteorological factors and the occurrence of dengue, malaria, cholera, and leptospirosis, and synthesized the key findings on communicable disease projection in the event of global warming. Method: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow checklist. Four databases (Web of Science, Ovid MEDLINE, Scopus, EBSCOhost) were searched for articles published from 2005 to 2020. The eligible articles were evaluated using a modified scale of a checklist designed for assessing the quality of ecological studies. Results: A total of 38 studies were included in the review. Precipitation and temperature were most frequently associated with the selected climate-sensitive communicable diseases. A climate change scenario simulation projected that dengue, malaria, and cholera incidence would increase based on regional climate responses. Conclusion: Precipitation and temperature are important meteorological factors that influence the incidence of climate-sensitive communicable diseases. Future studies need to consider more determinants affecting precipitation and temperature fluctuations for better simulation and prediction of the incidence of climate-sensitive communicable diseases.

Suggested Citation

  • Mazni Baharom & Norfazilah Ahmad & Rozita Hod & Fadly Syah Arsad & Fredolin Tangang, 2021. "The Impact of Meteorological Factors on Communicable Disease Incidence and Its Projection: A Systematic Review," IJERPH, MDPI, vol. 18(21), pages 1-22, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11117-:d:662580
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    1. Henry Musoke Semakula & Guobao Song & Simon Peter Achuu & Miaogen Shen & Jingwen Chen & Paul Isolo Mukwaya & Martin Oulu & Patrick Mwanzia Mwendwa & Jannette Abalo & Shushen Zhang, 2017. "Prediction of future malaria hotspots under climate change in sub-Saharan Africa," Climatic Change, Springer, vol. 143(3), pages 415-428, August.
    2. Romrawin Chumpu & Nirattaya Khamsemanan & Cholwich Nattee, 2019. "The association between dengue incidences and provincial-level weather variables in Thailand from 2001 to 2014," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-27, December.
    3. Hai-Yan Xu & Xiuju Fu & Lionel Kim Hock Lee & Stefan Ma & Kee Tai Goh & Jiancheng Wong & Mohamed Salahuddin Habibullah & Gary Kee Khoon Lee & Tian Kuay Lim & Paul Anantharajah Tambyah & Chin Leong Lim, 2014. "Statistical Modeling Reveals the Effect of Absolute Humidity on Dengue in Singapore," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 8(5), pages 1-11, May.
    4. Yoon Ling Cheong & Katrin Burkart & Pedro J. Leitão & Tobia Lakes, 2013. "Assessing Weather Effects on Dengue Disease in Malaysia," IJERPH, MDPI, vol. 10(12), pages 1-16, November.
    5. PDNN Sirisena & Faseeha Noordeen & Harithra Kurukulasuriya & Thanuja ALAR Romesh & LakKumar Fernando, 2017. "Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    6. Paul R Torgerson & José E Hagan & Federico Costa & Juan Calcagno & Michael Kane & Martha S Martinez-Silveira & Marga G A Goris & Claudia Stein & Albert I Ko & Bernadette Abela-Ridder, 2015. "Global Burden of Leptospirosis: Estimated in Terms of Disability Adjusted Life Years," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(10), pages 1-14, October.
    7. Ting-Wu Chuang & Luis Fernando Chaves & Po-Jiang Chen, 2017. "Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-20, June.
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