ArticleScientific reports2020
Effect of temperature on accidental human mortality: A time-series analysis in Shenzhen, Guangdong Province in China.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Projection of temperature-related severe injuries under climate change: a nationwide study of South Korea.BMC public health · 2025Article
- Impact of Daily Maximum Temperature on Emergency Department Arrivals and Acuity Levels.The western journal of emergency medicine · 2025Article
- Road traffic accidents & climatic factors in an urban area in Kerala, India: A time series approach.The Indian journal of medical research · 2025Article
- Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016-2020: a distributed-lag non-linear time series analysis.BMC public health · 2023Article
- Heat-related mortality amplified during the COVID-19 pandemic.International journal of biometeorology · 2022Observational
- The potential effects of temperature on outpatient visits: a case study in Chiang Mai, Thailand.Environmental science and pollution research international · 2021Article
- The risks of warm nights and wet days in the context of climate change: assessing road safety outcomes in Boston, USA and Santo Domingo, Dominican Republic.Injury epidemiology · 2021Article
- Extreme temperature and out-of-hospital-cardiac-arrest. Nationwide study in a hot climate country.Environmental health : a global access science source · 2021Article
- Article
- Too hot and too humid in the Caribbean: Impacts of extreme heat events and non-accidental mortality in the tropical island of Puerto Rico (2015-2020).The journal of climate change and healthArticle
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health-risk assessments of temperature are central to determine total non-accidental human mortality; however, few studies have investigated the effect of temperature on accidental human mortality. We performed a time-series study combined with a distributed lag non-linear model (DLNM) to quantify the non-linear and delayed effects of daily mean temperature on accidental human mortality between 2013 and 2017 in Shenzhen, China. The threshold for effects of temperature on accidental human mortality occurred between 5.6 °C and 18.5 °C. Cold exposures, but not hot exposures, were significantly associated with accidental human mortality. All of the observed groups were susceptible to cold effects, with the strongest effects presented in females (relative risk [RR]: 3.14, 95% confidence interval (CI) [1.44-6.84]), followed by poorly educated people (RR: 2.63, 95% CI [1.59-4.36]), males (RR: 1.79, 95% CI [1.10-2.92]), and well-educated people (RR: 1.20, 95% CI [0.58-2.51]). Pooled estimates for cold effects at a lag of 0-21 days (d) were also stronger than hot effects at a lag of 0-2 d. Our results indicate that low temperatures increased the risk of accidental human mortality. Females and poorly educated people were more susceptible to the low temperatures. These findings imply that interventions which target vulnerable populations during cold days should be developed to reduce accidental human mortality risk.
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