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Zhang X, Wang Y, Zhang W, Wang B, Zhao Z, Ma N, Song J, Tian J, Cai J, Zhang X. The effect of temperature on infectious diarrhea disease: A systematic review. Heliyon 2024; 10:e31250. [PMID: 38828344 PMCID: PMC11140594 DOI: 10.1016/j.heliyon.2024.e31250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 05/12/2024] [Accepted: 05/13/2024] [Indexed: 06/05/2024] Open
Abstract
This study aimed to ascertain the delayed effects of various exposure temperatures on infectious diarrhea. We performed a Bayesian random-effects network meta-analysis to calculate relative risks (RR) with 95 % confidence intervals (95 % CI). The heterogeneity was analyzed by subgroup analysis. There were 25 cross-sectional studies totaling 6858735 patients included in this analysis, with 12 articles each investigating the effects of both hyperthermia and hypothermia. Results revealed that both high temperature (RRsingle = 1.22, 95%CI:1.04-1.44, RRcum = 2.96, 95%CI:1.60-5.48, P < 0.05) and low temperature (RRsingle = 1.17, 95%CI:1.02-1.37, RRcum = 2.19, 95%CI:1.33-3.64, P < 0.05) significantly increased the risk of infectious diarrhea, while high temperature caused greater. As-sociations with strengthening in bacillary dysentery were found for high temperatures (RRcum = 2.03, 95%CI:1.41-3.01, P < 0.05; RRsingle = 1.17, 95%CI:0.90-1.62, P > 0.05), while the statistical significance of low temperatures in lowering bacterial dysentery had vanished. This investigation examined that high temperature and low temperature were the conditions that posed the greatest risk for infectious diarrhea. This research offers fresh perspectives on preventing infectious diarrhea and will hopefully enlighten future studies on the impact of temperature management on infectious diarrhea.
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Affiliation(s)
- Xinzhu Zhang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Yameng Wang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Wanze Zhang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Binhao Wang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Zitong Zhao
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Ning Ma
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Jianshi Song
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Jiaming Tian
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Jianning Cai
- Department of Epidemic Control and Prevention, Center for Disease Prevention and Control of Shijiazhuang City, Shijiazhuang, China
| | - Xiaolin Zhang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, China
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Wang L, Cheng J, Yu G, Zong Q, Zhai C, Hu W, Wang Y, Yan Z, Zhang T, Wang J, Zhang C, Su H, Zou Y. Impact of diurnal temperature range on other infectious diarrhea in Tongcheng, China, 2010-2019: a distributed lag non-linear analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:51089-51098. [PMID: 36808040 DOI: 10.1007/s11356-023-25992-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 02/14/2023] [Indexed: 04/16/2023]
Abstract
Our study aimed to quantify the exposure-lag-response effects of the diurnal temperature range (DTR) on other infectious diarrhea (OID) in Tongcheng city and examine the vulnerable populations. Distributed lag non-linear model (DLNM) and generalized additive model (GAM) were applied jointly to quantify the association between DTR and the daily number of OID cases compared with the median DTR. Stratified analysis was performed by gender, age, and seasons of onset. There are a total of 8231 cases during this decade. We observed a j-shaped relationship between DTR and OID, with a peak point at the maximum DTR (RR: 2.651, 95% CI: 1.320-5.323) compared to the median DTR. As DTR increased from 8.2 to 10.9 °C, we found the RRs started to decrease and then rise from day 0, and the minimum value occurred on day 7 (RR:1.003, 95% CI: 0.996-1.010). From stratified analysis, we observed that females and adults are more likely to be affected by high DTR significantly. In addition, the influence of DTR was different in cold and warm seasons. High DTR in warm seasons affects the number of OID daily cases, but no statistical significance was identified in cold seasons. This study suggests a significant relationship between high DTR and the incidence risk of OID.
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Affiliation(s)
- Linlin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Guanghui Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Qiqun Zong
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Chunxia Zhai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Wanqin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Yuhua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Ziye Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Tingyu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Junwu Wang
- Tongcheng Center for Disease Control and Prevention, Tongcheng, China
| | - Chengye Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Yanfeng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81, Meishan Road, Hefei, 230032, Anhui, China.
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Hao Q, Gao Q, Zhao R, Wang H, Li H, Jiang B. The effect and attributable risk of daily temperature on category C infectious diarrhea in Guangdong Province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:23963-23974. [PMID: 34817816 DOI: 10.1007/s11356-021-17132-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/17/2021] [Indexed: 05/16/2023]
Abstract
Previous studies have explored the effect between ambient temperature and infectious diarrhea (ID) mostly using relative risk, which provides limited information in practical applications. Few studies have focused on the disease burden of ID caused by temperature, especially for different subgroups and cities in a multi-city setting. This study aims to estimate the effects and attributable risks of temperature on category C ID and explore potential modifiers among various cities in Guangdong. First, distributed lag non-linear models (DLNMs) were used to explore city-specific associations between daily mean temperature and category C ID from 2014 to 2016 in Guangdong and pooled by applying multivariate meta-analysis. Then, multivariate meta-regression was implemented to analyze the potential heterogeneity among various cities. Finally, we assessed the attributable burden of category C ID due to temperature, low (below the 5th percentile of temperature) and high temperature (above the 95th percentile of temperature) for each city and subgroup population. Compared with the 50th percentile of daily mean temperature, adverse effects on category C ID were found when the temperature was lower than 12.27 ℃ in Guangdong Province. Some city-specific factors (longitude, urbanization rate, population density, disposable income per capita, and the number of medical technicians and beds per thousand persons) could modify the relationship of temperature-category C ID. During the study period, there were 60,505 category C ID cases (17.14% of total cases) attributable to the exposure of temperature, with the attributable fraction (AF) of low temperature (4.23%, 95% empirical confidence interval (eCI): 1.79-5.71%) higher than high temperature (1.34%, 95% eCI: 0.86-1.64%). Males, people under 5 years, and workers appeared to be more vulnerable to temperature, with AFs of 29.40%, 19.25%, and 21.49%, respectively. The AF varied substantially at the city level, with the largest AF of low temperature occurring in Shaoguan (9.58%, 95% eCI: 8.36-10.09%), and that of high temperature occurring in Shenzhen (3.16%, 95% eCI: 2.70-3.51%). Low temperature was an important risk factor for category C ID in Guangdong Province, China. The exposure-response relationship could be modified by city-specific characteristics. Considering the whole population, the attributable risk of low temperature was much higher than that of high temperature, and males, people under 5 years, and workers were vulnerable populations.
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Affiliation(s)
- Qiang Hao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong Province, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, 250012, Shandong Province, People's Republic of China
| | - Qi Gao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China
| | - Ran Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong Province, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, 250012, Shandong Province, People's Republic of China
| | - Haitao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong Province, People's Republic of China
| | - Hao Li
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong Province, People's Republic of China
- Shandong University Climate Change and Health Center, Jinan, 250012, Shandong Province, People's Republic of China
| | - Baofa Jiang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong Province, People's Republic of China.
- Shandong University Climate Change and Health Center, Jinan, 250012, Shandong Province, People's Republic of China.
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Liang M, Ding X, Wu Y, Sun Y. Temperature and risk of infectious diarrhea: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:68144-68154. [PMID: 34268683 DOI: 10.1007/s11356-021-15395-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/07/2021] [Indexed: 06/13/2023]
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 (RRcumulative=1.42, 95%CI: 1.07-1.88, RRsingle-day=1.08, 95%CI: 1.03-1.14). Subgroup analysis found the effect of temperature on the bacillary dysentery group (RRcumulative=1.85, 95%CI: 1.48-2.30) and unclassified diarrhea groups (RRcumulative=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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Affiliation(s)
- Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Yile Wu
- Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei, 230601, Anhui, People's Republic of China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- Center for Evidence-Based Practice, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
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Short-Term Impacts of Meteorology, Air Pollution, and Internet Search Data on Viral Diarrhea Infection among Children in Jilin Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111615. [PMID: 34770125 PMCID: PMC8582928 DOI: 10.3390/ijerph182111615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/29/2021] [Accepted: 11/03/2021] [Indexed: 01/08/2023]
Abstract
The influence of natural environmental factors and social factors on children’s viral diarrhea remains inconclusive. This study aimed to evaluate the short-term effects of temperature, precipitation, air quality, and social attention on children’s viral diarrhea in temperate regions of China by using the distribution lag nonlinear model (DLNM). We found that low temperature affected the increase in children’s viral diarrhea infection for about 1 week, while high temperature and heavy precipitation affected the increase in children’s viral diarrhea infection risk for at least 3 weeks. As the increase of the air pollution index may change the daily life of the public, the infection of children’s viral diarrhea can be restrained within 10 days, but the risk of infection will increase after 2 weeks. The extreme network search may reflect the local outbreak of viral diarrhea, which will significantly improve the infection risk. The above factors can help the departments of epidemic prevention and control create early warnings of high-risk outbreaks in time and assist the public to deal with the outbreak of children’s viral diarrhea.
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Seasonal variation in autoimmune encephalitis: A multi-center retrospective study. J Neuroimmunol 2021; 359:577673. [PMID: 34333343 DOI: 10.1016/j.jneuroim.2021.577673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 07/14/2021] [Accepted: 07/21/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE The aim of this study was to examine the seasonal distribution in clinical onset of autoimmune encephalitis (AE) in a multi-center cohort in China. METHODS This retrospective study consecutively recruited patients with new-onset definite neuronal surface antibody-associated AE between January 2015 and December 2020 from 3 tertiary hospitals. Demographic and clinical characteristics of the participants were comprehensively collected. Statistical analyses were performed using R. RESULTS Of the 184 patients of AE in our database, 149 (81.0%) were included in the final analysis. The median age of onset was 40.0 years, and 66 (44.3%) patients were female. AE predominantly started in autumn (47, 31.5%) and summer (43, 28.9%) months. Summer-autumn predominance of the clinical onsets was also present in the anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis group (54, 60.0%) and anti-leucine-rich glioma inactivated 1 (LGI1) encephalitis group (20, 76.9%). No obvious seasonal variations were observed among gender, onset age, disease duration, prodromal symptoms, clinical type of initial symptoms, and disease severity by the time of admission. CONCLUSION This study suggested summer-autumn predominance of the clinical onsets in patients with AE, especially anti-NMDAR and anti-LGI1 encephalitis. Therefore, clinicians should have a high index of suspicion for AE in encephalopathy patients in summer and autumn period.
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