ArticleInternational journal of biometeorology2016
Association between flood and the morbidity of bacillary dysentery in Zibo City, China: a symmetric bidirectional case-crossover study.
Article in International journal of biometeorology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Impact of flooding events on waterborne and vector-borne infections: a systematic review.BMC infectious diseases · 2026Pooled it
- Association between floods and the risk of dysentery in China: a meta-analysis.International journal of biometeorology · 2021Pooled it
- Climate Change and Respiratory Diseases: Relationship between SARS and Climatic Parameters and Impact of Climate Change on the Geographical Distribution of SARS in Iran.Advances in respiratory medicine · 2022Article
- Shigellosis seasonality and transmission characteristics in different areas of China: A modelling study.Infectious Disease Modelling · 2022Article
- Associations between floods and bacillary dysentery cases in main urban areas of Chongqing, China, 2005-2016: a retrospective study.Environmental health and preventive medicine · 2021Article
- Association between rainfall and readmissions of rheumatoid arthritis patients: a time-stratified case-crossover analysis.International journal of biometeorology · 2020Article
- Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016.International journal of environmental research and public health · 2019Article
- Health impact of climate change in cities of middle-income countries: the case of China.British medical bulletin · 2019Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examined the relationship between daily morbidity of bacillary dysentery and flood in 2007 in Zibo City, China, using a symmetric bidirectional case-crossover study. Odds ratios (ORs) and 95 % confidence intervals (CIs) on the basis of multivariate model and stratified analysis at different lagged days were calculated to estimate the risk of flood on bacillary dysentery. A total of 902 notified bacillary dysentery cases were identified during the study period. The median of case distribution was 7-year-old and biased to children. Multivariable analysis showed that flood was associated with an increased risk of bacillary dysentery, with the largest OR of 1.849 (95 % CI 1.229-2.780) at 2-day lag. Gender-specific analysis showed that there was a significant association between flood and bacillary dysentery among males only (ORs >1 from lag 1 to lag 5), with the strongest lagged effect at 2-day lag (OR = 2.820, 95 % CI 1.629-4.881), and the result of age-specific indicated that youngsters had a slightly larger risk to develop flood-related bacillary dysentery than older people at one shorter lagged day (OR = 2.000, 95 % CI 1.128-3.546 in youngsters at lag 2; OR = 1.879, 95 % CI 1.069-3.305 in older people at lag 3). Our study has confirmed that there is a positive association between flood and the risk of bacillary dysentery in selected study area. Males and youngsters may be the vulnerable and high-risk populations to develop the flood-related bacillary dysentery. Results from this study will provide recommendations to make available strategies for government to deal with negative health outcomes due to floods.
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