The DOI matches its Crossref record; 56 of the 58 references it cites were found in a registry or an index.
Temperature and risk of infectious diarrhea: a systematic review and meta-analysis
Open accessPublished version of a preprint
Abstract
Infectious diarrhea (ID) is an intestinal infectious disease including cholera, typhoid and paratyphoid fever, bacterial and amebic dysentery, and other infectious diarrhea. There are many studies that have explored the relationship between ambient temperature and the spread of infectious diarrhea, but the results are inconsistent. It is necessary to systematically evaluate the impact of temperature on the incidence of ID. This study was based on the PRISMA statement to report this systematic review. We conducted literature searches from CNKI, VIP databases, CBM, PubMed, Web of Science, Cochrane Library, and other databases. The number registered in PROSPERO is CRD42021225472. After searching a total of 4915 articles in the database and references, 27 studies were included. The number of people involved exceeded 7.07 million. The overall result demonstrated when the temperature rises, the risk of infectious diarrhea increases significantly (RR cumulative=1.42, 95%CI: 1.07-1.88, RR single-day=1.08, 95%CI: 1.03-1.14). Subgroup analysis found the effect of temperature on the bacillary dysentery group (RR cumulative=1.85, 95%CI: 1.48-2.30) and unclassified diarrhea groups (RR cumulative=1.18, 95%CI: 0.59-2.34). The result of the single-day effect subgroup analysis was similar to the result of the cumulative effect. And the sensitivity analysis proved that the results were robust. This systematic review and meta-analysis support that temperature will increase the risk of ID, which is helpful for ID prediction and early warning in the future.
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“Some studies from South Asian countries have identified increased rates of infectious diseases such as diarrhea [64][65][66][67] and cholera [68,69] with an increase in temperature.”
From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [66]
Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
James, S. L., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32279-7 · Cited by 13,867
Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220
A basic introduction to fixed-effect and random-effects models for meta-analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.12 · Cited by 6,793
Analysing data and undertaking meta‐analyses
Deeks, J. J., Higgins, J. P., Altman, D. G., & on behalf of the Cochrane Statistical Methods Group (2019) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9781119536604.ch10 · Cited by 2,672
Analysing Data and Undertaking Meta‐Analyses
Deeks, J. J., Higgins, J. P., & Altman, D. G. (2008) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9780470712184.ch9 · Cited by 1,800
The global burden of diarrhoeal disease, as estimated from studies published between 1992 and 2000.
Kosek, M. N., Bern, C., & Guerrant, R. L. (2003) · Europe PMC (PubMed Central) · Cited by 1,617
Kotloff, K. L., Winickoff, J. P., Ivanoff, B., Clemens, J. D., Swerdlow, D. L., Sansonetti, P. J., Adak, G. K., & Levine, M. M. (1999) · Europe PMC (PubMed Central) · Cited by 1,242
Research works printed but not linked: 6
- Li S, Wang Y, Dong J (2019) Association between incidence of other infectious diarrhea and meteorological factors in Jiayuguan. Chin J PHM 35:157–159
- Liu Y, Wu H, Lao J, Jiang B (2018) Relationship between meteorological factors and incidence of bacillary dysentery:a meta-analysis. J Environ Health 35:487–491
- Qiang L, Jianping Y, Tao Y, Liu YM (2013) The relationship between daily incidence of bacillary dysentery and meteorological factors in Chengguan District, Lanzhou City. J Environ Health 30:644–646
- Wang H, Liu Z, Xiang J, Tong MX, Lao J, Liu Y, Zhang J, Zhao Z, Gao Q, Jiang B, Bi P (2021) Effect of ambient temperatures on category C notifiable infectious diarrhea in China: An analysis of national surveillance data. Sci Total Environ 759:143557. https://doi.org/10.1016/j.scitotenv.2020.143557 · DOI
- Zhang J (2019) Effect of precipitation and temperature on other infectious diarrhea in Beijing from 2014 to 2016. Shandong University
- Zhang X, Gu X, Wang L, Zhou Y, Huang Z, Xu C, Cheng C (2021) Spatiotemporal variations in the incidence of bacillary dysentery and long-term effects associated with meteorological and socioeconomic factors in China from 2013 to 2017. Sci Total Environ 755:142626. https://doi.org/10.1016/j.scitotenv.2020.142626 · DOI
Cited by
Sorted by citations
The impact of increasing temperatures due to climate change on infectious diseases
Anikeeva, O., Hansen, A. L., Varghese, B. M., Borg, M., Zhang, Y., Xiang, J., & Bi, P. (2024) · BMJ · doi:10.1136/bmj-2024-079343 · Cited by 102
Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies
Sharma, A., Andhikaputra, G., & Wang, Y.-C. (2022) · Atmosphere · doi:10.3390/atmos13050734 · Cited by 87
Climate-sensitive disease outbreaks in the aftermath of extreme climatic events: A scoping review
Alcayna, T., Fletcher, I. K., Gibb, R., Tremblay, L., Funk, S., Rao, B., & Lowe, R. (2022) · One Earth · doi:10.1016/j.oneear.2022.03.011 · Cited by 85
Floods and Diarrhea Risk in Young Children in Low- and Middle-Income Countries
Pin, W., Asare, E. O., Pitzer, V. E., Dubrow, R., & Chen, K. (2023) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2023.3964 · Cited by 47
Nandi, S., & Swain, S. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-22398-x · Cited by 47
Metadata
- Authors
- Liang, M., Ding, X., Wu, Y., & Sun, Y.
- Affiliations
- Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- Corresponding author
- Sun, Yehuan
- Venue
- Environmental Science and Pollution Research
- Published
- 2021-07-15
- Volume
- 28
- Issue
- 48
- Pages
- 68144-68154
- ISSN
- 0944-1344 (ISSN-L)
- 1614-7499
- OpenAlex
- W3179491737
- Cited by
- 40
- References
- 58
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 10 · 2023: 7 · 2022: 11
- FWCI
- 0.67
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Environmental Science and Pollution Research (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Public Health and Environmental Issues
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Keywords
- infectious diarrhea, ambient temperature, heat exposure, cholera, shigellosis, typhoid fever, paratyphoid fever, amoebic dysentery, early warning
- MeSH terms
- Cholera, Diarrhea, Humans, Temperature, Typhoid Fever, Incidence
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