Analysis of the association between ambient temperature and foodborne diseases in Anhui Province, 2016-2019

ZHU Jiansheng; MENG Can; XU Lizi; ZHAO Yunxia; LIN Chao; SU Hong

doi:10.16462/j.cnki.zhjbkz.2023.05.017

Volume 27 Issue 5

May 2023

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ZHU Jiansheng, MENG Can, XU Lizi, ZHAO Yunxia, LIN Chao, SU Hong. Analysis of the association between ambient temperature and foodborne diseases in Anhui Province, 2016-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(5): 593-597. doi: 10.16462/j.cnki.zhjbkz.2023.05.017

Citation:

ZHU Jiansheng, MENG Can, XU Lizi, ZHAO Yunxia, LIN Chao, SU Hong. Analysis of the association between ambient temperature and foodborne diseases in Anhui Province, 2016-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(5): 593-597. doi: 10.16462/j.cnki.zhjbkz.2023.05.017

Citation:

ZHU Jiansheng, MENG Can, XU Lizi, ZHAO Yunxia, LIN Chao, SU Hong. Analysis of the association between ambient temperature and foodborne diseases in Anhui Province, 2016-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(5): 593-597. doi: 10.16462/j.cnki.zhjbkz.2023.05.017

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Analysis of the association between ambient temperature and foodborne diseases in Anhui Province, 2016-2019

doi: 10.16462/j.cnki.zhjbkz.2023.05.017

1.
Office of Center Director, Wuhu Center for Disease Control and Prevention, Wuhu 241000, China
2.
Department of Pulic Health, Wuhu Center for Disease Control and Prevention, Wuhu 241000, China
3.
Department of Food Nutrition and School Health, Anhui Provincial Center for Disease Control and Prevention, Public Health Research Institute of Anhui Province, Hefei 230601, China
4.
Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 230032, China

Funds:

National Natural Science Foundation of China 81773518

More Information

Corresponding author: SU Hong，E-mail：suhong5151@sina.com
Received Date: 2022-04-14
Rev Recd Date: 2022-10-06
Publish Date: 2023-05-10

Abstract

Abstract

Objective To examine the effect of ambient temperature on foodborne diseases in Anhui Province, identify lag effects, and pinpoint vulnerable populations. Methods Foodborne disease surveillance data and meteorological data from all Cities in Anhui Province from 2016 to 2019 were collected. A generalized linear model based on quasi-Poisson regression was used to analyze the potential association between mean temperature and foodborne diseases in each city. Meta-analysis was then applied to pool the estimated city-specific effects. Results Between 2016 and 2019, 348 958 cases of foodborne diseases were reported in Anhui Province, with an annual incidence rate of 0.13%. Mean ambient temperature exhibited a linear effect on foodborne diseases incidence and revealed a delayed effect. In single lag effect, the maximum effect occurred at lag0 with a corresponding RR of 1.009 6 (95% CI: 1.004 7-1.019 0), indicating that a 1 ℃ temperature increase would raise the risk of foodborne diseases by 1.009 6-time on the current day. As the lag day lengthened, the effect diminished gradually, becoming statistically insignificant on the third lag day. For cumulative lag effects, the maximum effect was at lag05 1.019 9(95% CI: 1.012 6-1.027 2). Subgroup analysis showed that individuals less than 65 years old were more susceptible than those aged 65 or older. Conclusions Ambient temperature can increase the risk of foodborne disease, with a lag effect observed. Prevention program on foodborne disease should be focusing on susceptible individuals.
- Foodborne diseases,
- Temperature,
- Distribution characteristic

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References(13)

References

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