RELATIONSHIP BETWEEN THE HAND-FOOT-MOUTH DISEASE INCIDENTS AND METEOROLOGICAL FACTORS IN KHON KAEN PROVINCE

Authors

  • Suparus Utsawapontanapat Faculty of Allied Health Sciences, Pathumthani University
  • Vadhana Jayathavaj Faculty of Allied Health Sciences, Pathumthani University
  • Phawat Kaopattanawan Faculty of Allied Health Sciences, Pathumthani University
  • Pissamorn Kongsin Faculty of Allied Health Sciences, Pathumthani University

Keywords:

Hand foot mouth disease, Relationship, Meteorological factors, Khon Kaen province, Generalized linear regression model

Abstract

Hand-foot-and-mouth disease is an infectious disease that is very common in children. Most of the symptoms are mild. Germs that cause hand-foot-and-mouth disease die easily in dry places and heat. Therefore, it is related to meteorological factors. This study aimed to study the relationship between the number of HFMD patients and meteorological factors in Khon Kaen Province. The secondary data of monthly, statistics including the number of patients with HFMD and meteorological factors of Khon Kaen Province between 2020 and 2024, were collected from the Bureau of Epidemiology, Ministry of Public Health, and the Upper Northeastern Meteorological Center, respectively. Data was analyzed using descriptive statistics, Pearson’s correlation coefficient, and the generalized linear regression models.
The results showed that there is a moderate correlation between the average amount of rainfall and the monthly average number of HFMD patients, the Pearson correlation coefficient was 0.439 (p-value <.05). The generalized Poisson regression model and the negative binomial regression model that best fit the data included only average monthly rainfall as the only explanatory variable, the coefficient of determination (R²) is equal to 0.363 and 0.293, respectively. The generalized Poisson regression equation: y=exp (4.531+0.185x), where y is the number of HFMD patients, can be explained by x as the average rainfall. When exp (0.185) is equal to 1.20, then the number of HFMD patients will increase from the average by 20 percent when the average rainfall increases by 1 millimeter.

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References

World Health Organization Western Pacific Region. A Guide to Clinical Management and Public Health Response for Hand, Foot and Mouth Disease (HFMD). [online] 2011 [cited 2024 Sep 2]. Available from: https://iris.who.int/bitstream/handle/10665/207490/9789290615255_eng.pdf?sequence=1&isAllowed=y

Owatanapanich S, Wutthanarungsan R, Jaksupa W, Thisyakorn U. Risk factors for severe hand, foot and mouth disease. Southeast Asian J trop Med public health 2015; 46(3): 449-459.

Chen C, Jiang Q, Song Z, Li Y, Wang H, Lu Y, Wang D, et al. Influence of temperature and humidity on hand, foot, and mouth disease in Guangzhou, 2013–2017. J Int Med Res 2020; 48(6): 1–11.

Liu Y, Feng Z, Song Y, The impacts of meteorological factors on the incidence of hand, foot, and mouth disease in China: An interactive perspective, Appl Geogr 2023;160: 103092, doi: https://doi.org/10.1016/j.apgeog.2023.103092

Guo Z, Wang Y, Li Y, Zhou L. Impact of meteorological factors on the incidence of hand-foot-mouth disease in Yangzhou from 2017 to 2022: a time series study. Front Public Health 2023; 11: 1278516 https://doi.org/10.3389/fpubh.2023.1278516

An Q, Wu J, Fan X, Pan L, Sun W. Using a Negative Binomial Regression Model for Early Warning at the Start of a Hand Foot Mouth Disease Epidemic in Dalian, Liaoning Province, China. PLoS One. 2016; 11(6): e0157815. doi: 10.1371/journal.pone.0157815.

Pan Q, Liu F, Zhang J, Zhao X, Hu Y, Fan C, et al. Regional-level risk factors for severe hand-foot-and-mouth disease: an ecological study from mainland China. Environ Health Prev Med. 2021; 26(1): 4. doi: 10.1186/s12199-020-00927-9.

Liao J, Yu S, Yang F, Yang M, Hu Y, Zhang J. Short-Term Effects of Climatic Variables on Hand, Foot, and Mouth Disease in Mainland China, 2008-2013: A Multilevel Spatial Poisson Regression Model Accounting for Overdispersion. PLoS One 2016; 11(1): 1-14. doi: 10.1371/journal.pone.0147054.

Onozuka D, Hashizume M. The Influence of Temperature and Humidity on the Incidence of Hand, Foot, and Mouth Disease in Japan. Epidemiol Infect 2011; 139(8): 1222- 1231.

Thai Meteorological Department. Weather forecast [online] 2024. [cited 2024 Sep 3]. Available from: https://www.tmd.go.th/. [in Thai].

Bureau of Epidemiology, Ministry of Public Health. National Disease Surveillance (Report 506), HFM, Number of cases and deaths by month and province) [online] 2024. [cited 2024 Sep 2]. Available from: http://doe.moph.go.th/surdata/disease.php?dcontent=old&ds=71. [in Thai].

Roback P, Legler J. Beyond Multiple Linear Regression Applied Generalized Linear Models and Multilevel Models in R. New York: Imprint Chapman and Hall/CRC; 2021.

Famoye F. Count Data Modeling: Choice between Generalized Poisson Model and Negative Binomial Model. J Appl Stat Sci 2005; 14(1-2): 99-106.

Gallucci M. General Analyses for the Linear Model in Jamovi - GAMLj [Computer Software] 2024 Aug 21 [cited 2024 Sep 2]. Available from: https://gamlj.github.io/#release-notes

Upper Northeastern Meteorological Center. Open Government Data, Monthly meteorological data statistics of Upper Northeastern Meteorological Center (Khon Kaen) Station 2021 - 2024 [online] 2024. [cited 2024 Sep 2]. Available from: http://www.khonkaen.tmd.go.th/opendata/index.html#section5 [in Thai].

The jamovi project. jamovi. (Version 2.3) [Computer Software]. 2022. [cited 2024 Sep 2]. Available from: https://www.jamovi.org.

R Core Team. R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. 2021. [cited 2024 Sep 2]. Available from: https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).

Center of Ethical Reinforcement for Research, Mahidol University. Announcement of Mahidol University on guidelines for projects that do not qualify as human research, 2022 [online]. Bangkok: Mahidol University; 2022. [cited 2024 Sep 2]. Available from: https://sp.mahidol.ac.th/th/LAW/policy/2565-MU-NonHuman.pdf [in Thai].

Center of Ethical Reinforcement for Research, Mahidol University. 2022. Self-Assessment form whether an activity is human subject research which requires ethical approval [online]. Bangkok: Mahidol University; 2022. [cited 2024 Sep 2]. Available from: https://sp.mahidol.ac.th/th/ethics-human/forms/checklist/2022-Human%20Research%20Checklistresearcher.pdf

Akoglu H. User's guide to correlation coefficients. Turk J Emerg Med 2018; 18(3): 91-93. doi: 10.1016/j.tjem.2018.08.001.

Climate Center, Meteorological Development Division, Thai Meteorological Department. Khon Kaen Province climate [online] 2023. [cited 2024 Sep 2]. Available from: http://climate.tmd.go.th/data/province/ตะวันออกเฉียงเหนือ/ภูมิอากาศขอนแก่น.pdf [in Thai].

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Published

2025-09-07

How to Cite

Utsawapontanapat, S., Jayathavaj, V., Kaopattanawan, P., & Kongsin, P. (2025). RELATIONSHIP BETWEEN THE HAND-FOOT-MOUTH DISEASE INCIDENTS AND METEOROLOGICAL FACTORS IN KHON KAEN PROVINCE. Community Health Development Quarterly Khon Kaen University, 12(3), 281–295. retrieved from https://he05.tci-thaijo.org/index.php/CHDMD_KKU/article/view/6575

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