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Kunda JJ, Gosling SN, Foody GM. The effects of extreme heat on human health in tropical Africa. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:1015-1033. [PMID: 38526600 PMCID: PMC11108931 DOI: 10.1007/s00484-024-02650-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 03/26/2024]
Abstract
This review examines high-quality research evidence that synthesises the effects of extreme heat on human health in tropical Africa. Web of Science (WoS) was used to identify research articles on the effects extreme heat, humidity, Wet-bulb Globe Temperature (WBGT), apparent temperature, wind, Heat Index, Humidex, Universal Thermal Climate Index (UTCI), heatwave, high temperature and hot climate on human health, human comfort, heat stress, heat rashes, and heat-related morbidity and mortality. A total of 5, 735 articles were initially identified, which were reduced to 100 based on a set of inclusion and exclusion criteria. The review discovered that temperatures up to 60°C have been recorded in the region and that extreme heat has many adverse effects on human health, such as worsening mental health in low-income adults, increasing the likelihood of miscarriage, and adverse effects on well-being and safety, psychological behaviour, efficiency, and social comfort of outdoor workers who spend long hours performing manual labour. Extreme heat raises the risk of death from heat-related disease, necessitating preventative measures such as adaptation methods to mitigate the adverse effects on vulnerable populations during hot weather. This study highlights the social inequalities in heat exposure and adverse health outcomes.
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Affiliation(s)
- Joshua Jonah Kunda
- School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
| | - Simon N Gosling
- School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Giles M Foody
- School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
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Zhu Q, Ye P, Wang Y, Duan L, He G, Er Y, Jin Y, Ji C, Hu J, Deng X, Ma W, Liu T. Heatwaves increase road traffic injury morbidity risk and burden in China and its provinces. ENVIRONMENT INTERNATIONAL 2024; 188:108760. [PMID: 38788419 DOI: 10.1016/j.envint.2024.108760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/08/2024] [Accepted: 05/18/2024] [Indexed: 05/26/2024]
Abstract
Previous studies have demonstrated health impacts of climate change, but evidence on heatwaves' associations with road traffic injury (RTI) is limited. In this study, individual information of RTI cases in May-September during 2006-2021 in China were obtained from the National Injury Surveillance System. Daily maximum temperatures (TMmax) during 2006-2021 were collected from the ERA-5 reanalysis, and the projected daily TMmax during 2020-2099 were obtained from the latest Coupled Model Intercomparison Project Phase 6 Shared Socioeconomic Pathways scenarios (SSPs). We used a time-stratified case-crossover analysis to investigate the association between short-term exposure (lag01 days) to heatwaves (exceeding the 92.5th percentile of daily TMmax for ≥ three consecutive days) and RTI, and to project heatwave-related RTI until 2099 across China. Finally, a total of 1 031 082 RTI cases were included in the analyses. Compared with non-heatwaves, the risks of RTI increased by 3.61 % during heatwaves. Greater associations were found in people aged 15-64 years, in people with transportation occupation, for non-motor traffic vehicle injuries, for severe RTI cases, and in Western China particularly in Qinghai province. We projected substantial increases in attributable fraction (AF) of heatwave-related RTI in the future, particularly in Western and Southwest China. The national average increase in AF (per decade) during 2020s-2090s was 0.036 % for SSP1-2.6 scenario, and 0.267 % for SSP5-8.5 scenario. This study provided evidence on the associations of heatwaves with RTI, and the heatwave-related RTI will substantially increase in the future.
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Affiliation(s)
- Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Jinan University, Ministry of Education, Guangzhou 510632, China
| | - Pengpeng Ye
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yuan Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Leilei Duan
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yuliang Er
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Ye Jin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Cuirong Ji
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Xiao Deng
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
| | - Tao Liu
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China; Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Jinan University, Ministry of Education, Guangzhou 510632, China.
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Pińskwar I, Choryński A, Graczyk D. Good weather for a ride (or not?): how weather conditions impact road accidents - a case study from Wielkopolska (Poland). INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:317-331. [PMID: 38060012 PMCID: PMC10794278 DOI: 10.1007/s00484-023-02592-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/04/2023] [Accepted: 11/21/2023] [Indexed: 12/08/2023]
Abstract
This study offers a likely assessment of extreme meteorological events' impact on human perceptivity, frame of mind or even health during driving which might have had a consequence as a car accident. Research covered an analysis of car accidents during period 2010-2019 in the Wielkopolska (Poland) and four indices like maximum daily temperature, maximum value of humidex, difference between maximum temperatures observed from day to day and also difference between mean atmospheric pressure at the sea level observed from day to day. A distributed lag nonlinear model (DLNM) approach was used to obtain the relationship between these indices and car accidents. Our finding evidence that the "good weather for a ride" conditions are actually generating an increased risk of accidents. For indices related to high temperature, i.e., maximum temperature and humidex, it was possible to identify the critical values by which the risks of car accidents were the highest.
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Affiliation(s)
- Iwona Pińskwar
- Department of Land Improvement, Environmental Development and Spatial Management, Faculty of Environmental Engineering and Mechanical Engineering, Poznan University of Life Sciences, Piątkowska 94E, 60- 649 Poznań, Poland.
| | - Adam Choryński
- Meteorology Laboratory, Department of Construction and Geoengineering, Faculty of Environmental Engineering and Mechanical Engineering, Poznan University of Life Sciences, Piątkowska 94, 60-649 Poznań, Poland
| | - Dariusz Graczyk
- Department of Land Improvement, Environmental Development and Spatial Management, Faculty of Environmental Engineering and Mechanical Engineering, Poznan University of Life Sciences, Piątkowska 94E, 60- 649 Poznań, Poland
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Sapari H, Selamat MI, Isa MR, Ismail R, Wan Mahiyuddin WR. The Impact of Heat Waves on Health Care Services in Low- or Middle-Income Countries: Protocol for a Systematic Review. JMIR Res Protoc 2023; 12:e44702. [PMID: 37843898 PMCID: PMC10616749 DOI: 10.2196/44702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 06/02/2023] [Accepted: 08/31/2023] [Indexed: 10/17/2023] Open
Abstract
BACKGROUND Heat waves significantly impact ecosystems and human health, especially that of vulnerable populations, and are associated with increased morbidity and mortality. Besides being directly related to climate-sensitive health outcomes, heat waves have indirectly increased the burden on our health care systems. Although the existing literature examines the impact of heat waves and morbidity, past research has mostly been conducted in high-income countries (HICs), and studies on the impact of heat waves on morbidity in low- or middle-income countries (LMICs) are still scarce. OBJECTIVE This paper presents the protocol for a systematic review that aims to provide evidence of the impact of heat waves on health care services in LMICs. METHODS We will identify peer-reviewed studies from 3 online databases, including the Web of Science, PubMed, and SCOPUS, published from January 2002 to April 2023, using the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Quality assessment will be conducted using the Navigation Guide checklist. Key search terms include heatwaves, extreme heat, hospitalization, outpatient visit, burden, health services, and morbidity. RESULTS This systematic review will provide insight into the impact of heat waves on health care services in LMICs, especially on emergency department visits, ambulance call-outs, hospital admissions, outpatient department visits, in-hospital mortality, and health care operational costs. CONCLUSIONS The results of this review are anticipated to help policymakers and key stakeholders obtain a better understanding of the impact of heat waves on health care services and prioritize investments to mitigate the effects of heat waves in LMICs. This entails creating a comprehensive heat wave plan and ensuring that adequate infrastructure, capacity, and human resources are allocated in the health care sector. These measures will undoubtedly contribute to the development of resilience in health care systems and hence protect the health and well-being of individuals and communities. TRIAL REGISTRATION PROSPERO CRD42022365471; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=365471. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/44702.
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Affiliation(s)
- Hadita Sapari
- Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi Mara, Selangor, Malaysia
| | - Mohamad Ikhsan Selamat
- Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi Mara, Selangor, Malaysia
| | - Mohamad Rodi Isa
- Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi Mara, Selangor, Malaysia
| | - Rohaida Ismail
- Environmental Health Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
| | - Wan Rozita Wan Mahiyuddin
- Environmental Health Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
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Li Y, Varghese BM, Liu J, Bi P, Tong M. Association between High Ambient Temperatures and Road Crashes in an Australian City with Temperate Climate: A Time-Series Study, 2012-2021. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6000. [PMID: 37297604 PMCID: PMC10252869 DOI: 10.3390/ijerph20116000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/20/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023]
Abstract
(1) Background: High ambient temperatures are associated with increased morbidity and mortality rates, and some evidence suggests that high temperatures increase the risk of road crashes. However, little is known regarding the burden of road crashes attributable to no-optimal high temperatures in Australia. Therefore, this study examined the effects of high temperatures on road crashes using Adelaide in South Australia as a case study. (2) Methods: Ten-year daily time-series data on road crashes (n = 64,597) and weather during the warm season (October-March) were obtained between 2012 and 2021. A quasi-Poisson distributed lag nonlinear model (DLNM) was used to quantify the cumulative effect of high temperatures over the previous five days. The associations and attributable burden at moderate and extreme temperature ranges were computed as relative risk (RR) and attributable fraction. (3) Results: There was a J-shaped association between high ambient temperature and the risk of road crashes during the warm season in Adelaide, and pronounced effects were observed for minimum temperatures. The highest risk was observed at a 1 day lag and lasting for 5 days. High temperatures were responsible for 0.79% (95% CI: 0.15-1.33%) of road crashes, with moderately high temperatures accounting for most of the burden compared with extreme temperatures (0.55% vs. 0.32%). (4) Conclusions: In the face of a warming climate, the finding draws the attention of road transport, policy, and public health planners to design preventive plans to reduce the risk of road crashes attributable to high temperatures.
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Affiliation(s)
- Yannan Li
- School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia
| | | | - Jingwen Liu
- School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Peng Bi
- School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Michael Tong
- School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia
- National Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia
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He L, Liu C, Shan X, Zhang L, Zheng L, Yu Y, Tian X, Xue B, Zhang Y, Qin X, Wang C, Zhang K, Luo B. Impact of high temperature on road injury mortality in a changing climate, 1990-2019: A global analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159369. [PMID: 36228793 DOI: 10.1016/j.scitotenv.2022.159369] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/23/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Previous studies have shown that extreme heat likely increases the risk of road injuries. However, the global burden of road injuries due to high temperature and contributing factors remain unclear. This study aims to characterize the global, regional and national burden of road injuries due to high temperature from 1990 to 2019. METHODS Based on the Global Burden of Disease (GBD) study 2019, we obtained the numbers and age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALY) rates (ASDR) of the road injury due to high temperature at global, regional, and national levels from 1990 to 2019. The world is divided into five climate zones according to the average annual temperature of each country: tropical, subtropical, warm temperate, cold temperate, and boreal. We used the generalized additive models (GAM) to model the trends of road injuries globally and by region. RESULTS Globally, between 1990 and 2019, the deaths of road injury attributable to high temperature increased significantly from 20,270 (95% uncertainty interval [UI], 7836 to 42,716) to 28,396 (95% UI, 13,311 to 51,178), and the DALYs increased from 1,169,309 (95% UI, 450,834 to 2,491,075) to 1,414,527 (95% UI, 658,347 to 2,543,613). But the ASMR and the ASDR slightly decreased by 8.49% and 13.16%, respectively. The burden of road injury death attributable to high temperature remained high in low SDI and tropical regions. In addition, road transport infrastructure investment per inhabitant is associated with the burden of road injuries attributable to high temperature. CONCLUSIONS Globally, the ASMR and ASDR for road injuries attributable to high temperature decreased from 1990 to 2019, but the absolute death and DALYs continued to increase. Thus, concerning global warming, implementation of prevention and interventions to reduce road injuries from heat exposure should be stressed globally.
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Affiliation(s)
- Li He
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Xiaobing Shan
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Ling Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Ling Zheng
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Yunhui Yu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Xiaoyu Tian
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Baode Xue
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Yu Zhang
- Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL 33620, USA
| | - Xiao Qin
- Department of Civil and Environmental Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Cara Wang
- Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy, NY 12211, USA
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, NY 12144, USA.
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, People's Republic of China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, People's Republic of China.
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Basagaña X, de la Peña-Ramirez C. Ambient temperature and risk of motor vehicle crashes: A countrywide analysis in Spain. ENVIRONMENTAL RESEARCH 2023; 216:114599. [PMID: 36270536 DOI: 10.1016/j.envres.2022.114599] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Some studies have documented that cold or hot ambient temperatures increase the risk of motor vehicle crashes. However, the number of existing studies is still limited, especially for the effects of cold. OBJECTIVES To estimate the relationship between ambient temperatures and risk of motor vehicle crashes in Spain, and to estimate the same association when restricting to those crashes with driver performance-associated factors (namely distraction, fatigue, sleepiness or disease). METHODS We used data for the period 1993-2013. We conducted a time series analysis controlling for seasonality and trends and using the distributed lag nonlinear model framework to estimate nonlinear and delayed effects of up to 7 days. Analyses were conducted at the province level and combined using multivariate meta-analysis. RESULTS The study included 1,908,460 motor vehicle crashes, 37% of them with associated driver performance factors. The overall analysis showed that the risk of crashes increased almost linearly with temperature. The estimates of the cumulative effect of lags 0-7 when comparing the 99th percentile and the first percentile of temperature produced a relative risk (RR) of 1.15 (95% confidence interval (CI): 1.11, 1.20). The estimates were slightly higher when analyses were restricted to crashes with driver performance-associated factors (RR: 1.23, 95% CI: 1.17, 1.30). In some provinces that reached temperatures below 0 °C, an increased risk with cold temperatures was also observed. An added effect of both cold spell and heat wave periods was found only in the analysis of crashes with driver performance-associated factors (cold spells, RR: 1.029, 95% CI: 1.005, 1.053; heat waves, RR: 1.020, 95% CI: 1.002, 1.039). CONCLUSIONS The increase of temperature increased the risk of motor vehicle crashes in Spain. Measures aimed at reducing the influence of heat on the risk of motor vehicle crashes can have important benefits for public health.
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Affiliation(s)
- Xavier Basagaña
- ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain.
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Tian T, Lin X, Huang T, Zhang K, Shi C, Wang P, Chen S, Guo T, Li Z, Qin P, Liang B, Zhang W, Hao Y. The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design. Front Public Health 2023; 11:1117948. [PMID: 36935708 PMCID: PMC10018157 DOI: 10.3389/fpubh.2023.1117948] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/09/2023] [Indexed: 03/06/2023] Open
Abstract
Background Injuries during work are often exogenous and can be easily influenced by environmental factors, especially weather conditions. Precipitation, a crucial weather factor, has been linked to unintentional injuries, yet evidence of its effect on work-related injuries is limited. Therefore, we aimed to clarify the impact of precipitation on injuries during work as well as its variation across numerous vulnerability features. Methods Records on the work-related injury during 2016-2020 were obtained from four sentinel hospitals in Guangzhou, China, and were matched with the daily weather data during the same period. We applied a time-stratified case-crossover design followed by a conditional logistic regression to evaluate the association between precipitation and work-related injuries. Covariates included wind speed, sunlight, temperature, SO 2, NO 2, and PM 2.5. Results were also stratified by multiple factors to identify the most vulnerable subgroups. Results Daily precipitation was a positive predictor of work-related injuries, with each 10 mm increase in precipitation being associated with an increase of 1.57% in the rate of injuries on the same day and 1.47-1.14% increase of injuries on subsequent 3 days. The results revealed that precipitation had a higher effect on work-related injuries in winter (4.92%; 95%CI: 1.77-8.17%). The elderly (2.07%; 95%CI: 0.64-3.51%), male (1.81%; 95%CI: 0.96-2.66%) workers or those with lower educational levels (2.58%; 95%CI: 1.59-3.54%) were more likely to suffer from injuries on rainy days. There was a higher risk for work-related injuries caused by falls (2.63%; 95%CI: 0.78-4.52%) or the use of glass products (1.75%; 95%CI: 0.49-3.02%) on rainy days. Conclusions Precipitation was a prominent risk factor for work-related injury, and its adverse effect might endure for 3 days. Certain sub-groups of workers were more vulnerable to injuries in the rain.
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Affiliation(s)
- Tian Tian
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiao Lin
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tingyuan Huang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Kai Zhang
- Department of Environmental Health Sciences, University at Albany, The State University of New York, Rensselaer, NY, United States
| | - Congxing Shi
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Pengyu Wang
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shimin Chen
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tong Guo
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhiqiang Li
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Pengzhe Qin
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Boheng Liang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- *Correspondence: Boheng Liang
| | - Wangjian Zhang
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Wangjian Zhang
| | - Yuantao Hao
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Yuantao Hao
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Liang M, Min M, Guo X, Song Q, Wang H, Li N, Su W, Liang Q, Ding X, Ye P, Duan L, Sun Y. The relationship between ambient temperatures and road traffic injuries: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:50647-50660. [PMID: 35235122 DOI: 10.1007/s11356-022-19437-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 02/21/2022] [Indexed: 06/14/2023]
Abstract
Traffic accidents cause considerable economic losses and injuries. Although the adverse effects of a change in ambient temperatures on human health have been widely documented, its effects on road traffic safety are still debated. This systematic review and meta-analysis was performed to synthesize available data on the association between ambient temperature and the risks of road traffic accidents (RTAs) and traffic accident injuries (TAIs). We searched 7 different databases to locate studies. The subgroup analyses were stratified by temperature type, temperature exposure, region, mean temperature, mortality, study period, statistical model, and source of injury data. This study was registered with PROSPERO under the number CRD42021264660. This is the first meta-analysis to investigate the association between ambient temperature and road traffic safety. A total of 34 high-temperature effect estimates were reported, and two additional studies reported the relationship between low temperatures and TAI risk. The meta-analysis results found a significant association between the high temperature and RTAs, and the pooled RR was 1.025 (95%CI 1.014, 1.035). The risk of TAI was also significantly associated with temperature increases. Subgroup analyses found that using daily mean temperatures, the RR value of road traffic accidents was 1.024 (95%CI 0.939, 1.116), and the RR value of road traffic injuries was 1.052 (95%CI 1.024, 1.080). Hourly temperatures significantly increased the risk of RTA, while the risk of TAI was not significantly increased by hourly temperature. The sensitivity analysis indicated that the results were stable, and no obvious publication bias was detected. The results of this systematic review and meta-analysis suggest that increases in ambient temperature are associated with an increased risk of RTAs and TAIs. These findings add to the evidence of the impact of ambient temperature on road traffic safety.
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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
| | - Min Min
- Anhui Institute of Medical Information (Anhui Medical Association), No.15 Gongwan Road, Hefei, 230061, Anhui, People's Republic of China
| | - Xianwei Guo
- 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
| | - Qiuxia Song
- 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
| | - Hao Wang
- 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
| | - Ning Li
- 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
| | - Wanying Su
- 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
| | - Qiwei 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
| | - Pengpeng Ye
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, the Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Leilei Duan
- The National Center for Chronic and Noncommunicable Disease Control and Prevention, the Chinese Center for Disease Control and Prevention, Beijing, 100050, 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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10
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Ghada W, Estrella N, Ankerst DP, Menzel A. Universal thermal climate index associations with mortality, hospital admissions, and road accidents in Bavaria. PLoS One 2021; 16:e0259086. [PMID: 34788302 PMCID: PMC8598056 DOI: 10.1371/journal.pone.0259086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 10/13/2021] [Indexed: 11/18/2022] Open
Abstract
When meteorological conditions deviate from the optimal range for human well-being, the risks of illness, injury, and death increase, and such impacts are feared in particular with more frequent and intense extreme weather conditions resulting from climate change. Thermal indices, such as the universal thermal climate index (UTCI), can better assess human weather-related stresses by integrating multiple weather components. This paper quantifies and compares the seasonal and spatial association of UTCI with mortality, morbidity, and road accidents in the federal state of Bavaria, Germany. Linear regression was applied to seasonally associate daily 56 million hospital admissions and 2.5 million death counts (1995-2015) as well as approximately 930,000 road accidents and 1.7 million people injured (2002-2015) with spatially interpolated same day- and lagged- (up to 14 days) average UTCI values. Additional linear regressions were performed stratifying by age, gender, region, and district. UTCI effects were clear in all three health outcomes studied: Increased UTCI resulted in immediate (1-2 days) rises in morbidity and even more strongly in mortality in summer, and lagged (up to 14 days) decreases in fall, winter, and spring. The strongest UTCI effects were found for road accidents where increasing UTCI led to immediate decreases in daily road accidents in winter but pronounced increases in all other seasons. Differences in UTCI effects were observed e.g. between in warmer north-western regions (Franconia, more districts with heat stress-related mortality, but hospital admissions for lung, heart and external reasons decreasing with summer heat stress), the touristic alpine regions in the south (immediate effect of increasing UTCI on road accidents in summer), and the colder south-eastern regions (increasing hospital admissions for lung, heart and external reasons in winter with UTCI). Districts with high percentages of elderly suffered from higher morbidity and mortality, particularly in winter. The influences of UTCI as well as the spatial and temporal patterns of this influence call for improved infrastructure planning and resource allocation in the health sector.
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Affiliation(s)
- Wael Ghada
- Department of Life Science Systems, Technical University of Munich, Freising, Germany
| | - Nicole Estrella
- Department of Life Science Systems, Technical University of Munich, Freising, Germany
| | - Donna P. Ankerst
- Department of Life Science Systems, Technical University of Munich, Freising, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | - Annette Menzel
- Department of Life Science Systems, Technical University of Munich, Freising, Germany
- Institute for Advanced Study, Technical University of Munich, Garching, Germany
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11
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Carrión D, Arfer KB, Rush J, Dorman M, Rowland ST, Kioumourtzoglou MA, Kloog I, Just AC. A 1-km hourly air-temperature model for 13 northeastern U.S. states using remotely sensed and ground-based measurements. ENVIRONMENTAL RESEARCH 2021; 200:111477. [PMID: 34129866 PMCID: PMC8403657 DOI: 10.1016/j.envres.2021.111477] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 06/01/2021] [Accepted: 06/01/2021] [Indexed: 05/14/2023]
Abstract
BACKGROUND Accurate and precise estimates of ambient air temperatures that can capture fine-scale within-day variability are necessary for studies of air temperature and health. METHOD We developed statistical models to predict temperature at each hour in each cell of a 927-m square grid across the Northeast and Mid-Atlantic United States from 2003 to 2019, across ~4000 meteorological stations from the Integrated Mesonet, using inputs such as elevation, an inverse-distance-weighted interpolation of temperature, and satellite-based vegetation and land surface temperature. We used a rigorous spatial cross-validation scheme and spatially weighted the errors to estimate how well model predictions would generalize to new cell-days. We assess the within-county association of temperature and social vulnerability in a heat wave as an example application. RESULTS We found that a model based on the XGBoost machine-learning algorithm was fast and accurate, obtaining weighted root mean square errors (RMSEs) around 1.6 K, compared to standard deviations around 11.0 K. We found similar accuracy when validating our model on an external dataset from Weather Underground. Assessing predictions from the North American Land Data Assimilation System-2 (NLDAS-2), another hourly model, in the same way, we found it was much less accurate, with RMSEs around 2.5 K. This is likely due to the NLDAS-2 model's coarser spatial resolution, and the dynamic variability of temperature within its grid cells. Finally, we demonstrated the health relevance of our model by showing that our temperature estimates were associated with social vulnerability across the region during a heat wave, whereas the NLDAS-2 showed a much weaker association. CONCLUSION Our high spatiotemporal resolution air temperature model provides a strong contribution for future health studies in this region.
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Affiliation(s)
- Daniel Carrión
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kodi B Arfer
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Johnathan Rush
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael Dorman
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Sebastian T Rowland
- Department of Environmental Health Sciences, Columbia University, New York, USA
| | | | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, USA
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12
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McDermott-Levy R, Scolio M, Shakya KM, Moore CH. Factors That Influence Climate Change-Related Mortality in the United States: An Integrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158220. [PMID: 34360518 PMCID: PMC8345936 DOI: 10.3390/ijerph18158220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/23/2021] [Accepted: 07/29/2021] [Indexed: 12/02/2022]
Abstract
Global atmospheric warming leads to climate change that results in a cascade of events affecting human mortality directly and indirectly. The factors that influence climate change-related mortality within the peer-reviewed literature were examined using Whittemore and Knafl’s framework for an integrative review. Ninety-eight articles were included in the review from three databases—PubMed, Web of Science, and Scopus—with literature filtered by date, country, and keywords. Articles included in the review address human mortality related to climate change. The review yielded two broad themes in the literature that addressed the factors that influence climate change-related mortality. The broad themes are environmental changes, and social and demographic factors. The meteorological impacts of climate change yield a complex cascade of environmental and weather events that affect ambient temperatures, air quality, drought, wildfires, precipitation, and vector-, food-, and water-borne pathogens. The identified social and demographic factors were related to the social determinants of health. The environmental changes from climate change amplify the existing health determinants that influence mortality within the United States. Mortality data, national weather and natural disaster data, electronic medical records, and health care provider use of International Classification of Disease (ICD) 10 codes must be linked to identify climate change events to capture the full extent of climate change upon population health.
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Affiliation(s)
- Ruth McDermott-Levy
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA
- Correspondence:
| | - Madeline Scolio
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Kabindra M. Shakya
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Caroline H. Moore
- Georgia Baptist College of Nursing, Mercer University, Atlanta, GA 30341, USA;
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13
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Nazif-Munoz JI, Martínez P, Williams A, Spengler J. 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. Inj Epidemiol 2021; 8:47. [PMID: 34281624 PMCID: PMC8287725 DOI: 10.1186/s40621-021-00342-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/27/2021] [Indexed: 11/23/2022] Open
Abstract
Background There remains a dearth of cross-city comparisons on the impact of climate change through extreme temperature and precipitation events on road safety. We examined trends in traffic fatalities, injuries and property damage associated with high temperatures and heavy rains in Boston (USA) and Santo Domingo (Dominican Republic). Methods Official publicly available data on daily traffic outcomes and weather conditions during the warm season (May to September) were used for Boston (2002–2015) and Santo Domingo (2013–2017). Daily maximum temperatures and mean precipitations for each city were considered for classifying hot days, warm days, and warm nights, and wet, very wet, and extremely wet days. Time-series analyses were used to assess the relationship between temperature and precipitation and daily traffic outcomes, using a quasi-Poisson regression. Results In Santo Domingo, the presence of a warm night increased traffic fatalities with a rate ratio (RR) of 1.31 (95% CI [confidence interval]: 1.00,1.71). In Boston, precipitation factors (particularly, extremely wet days) were associated with increments in traffic injuries (RR 1.25, 95% CI: 1.18, 1.32) and property damages (RR 1.42, 95% CI: 1.33, 1.51). Conclusion During the warm season, mixed associations between weather conditions and traffic outcomes were found across Santo Domingo and Boston. In Boston, increases in heavy precipitation events were associated with higher traffic injuries and property damage. As climate change-related heavy precipitation events are projected to increase in the USA, the associations found in this study should be of interest for road safety planning in a rapidly changing environment. Supplementary Information The online version contains supplementary material available at 10.1186/s40621-021-00342-w.
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Affiliation(s)
- José Ignacio Nazif-Munoz
- Faculté de médecine et des sciences de la santé, Université de Sherbrooke, 150, place Charles-Le Moyne, Longueuil, QC, J4K 0A8, Canada. .,Centre de recherche Charles-Le Moyne - Saguenay - Lac-Saint-Jean, 150, place Charles‑Le Moyne, C. P. 200, Longueuil, Canadá. .,Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, 4th Floor West, 404N, Boston, MA, 02215, USA.
| | - Pablo Martínez
- Faculté de médecine et des sciences de la santé, Université de Sherbrooke, 150, place Charles-Le Moyne, Longueuil, QC, J4K 0A8, Canada.,Centre de recherche Charles-Le Moyne - Saguenay - Lac-Saint-Jean, 150, place Charles‑Le Moyne, C. P. 200, Longueuil, Canadá
| | - Augusta Williams
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, 4th Floor West, 404N, Boston, MA, 02215, USA
| | - John Spengler
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, 4th Floor West, 404N, Boston, MA, 02215, USA
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14
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Gariazzo C, Bruzzone S, Finardi S, Scortichini M, Veronico L, Marinaccio A. Association between extreme ambient temperatures and general indistinct and work-related road crashes. A nationwide study in Italy. ACCIDENT; ANALYSIS AND PREVENTION 2021; 155:106110. [PMID: 33836417 DOI: 10.1016/j.aap.2021.106110] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/01/2021] [Accepted: 03/26/2021] [Indexed: 06/12/2023]
Abstract
Despite the relevance of road crashes and their impact on social and health care costs, the effects of extreme temperatures on road crashes risk have been scarcely investigated, particularly for those occurring in occupational activities. A nationwide epidemiological study was carried out to estimate the risk of general indistinct and work-related road crashes related with extreme temperatures and to identify crash and occupation parameters mostly involved. Data about road crashes, resulting in death or injury, occurring during years 2013-2015 in Italy, were collected from the National Institute of Statistics, for general indistinct road crashes, and from the compensation claim applications registered by the national workers' compensation authority, for work-related ones. Time series of hourly temperature were derived from the results provided by the meteorological model WRF applied at a national domain with 5 km resolution. To consider the different spatial-temporal characteristics of the two road crashes archives, the association with extreme temperatures was estimated by means of a case-crossover time-stratified approach using conditional logistic regression analysis, and a time-series analysis, using over-dispersed Poisson generalized linear regression model, for general indistinct and work-related datasets respectively. The analyses were controlled for other covariates and confounding variables (including precipitation). Non-linearity and lag effects were considered by using a distributed lag non-linear model. Relative risks were calculated for increment from 75th to 99th percentiles (hot) and from 25 to first percentile (cold) of temperature. Results for general indistinct crashes show a positive association with hot temperature (RR = 1.12, 95 % CI: 1.09-1.16) and a negative one for cold (RR = 0.93, 95 % CI: 0.91-0.96), while for work-related crashes a positive association was found for both hot and cold (RR = 1.06 (95 % CI: 1.01-1.11) and RR = 1.10 (95 % CI: 1.05-1.16). The use of motorcycles, the location of accident (urban vs out of town), presence of crossroads, as well as occupational factors like the use of a vehicle on duty were all found to produce higher risks of road crashes during extreme temperatures. Mitigation and prevention measures are needed to limit social and health care costs.
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Affiliation(s)
- Claudio Gariazzo
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Monte Porzio Catone, RM, Italy.
| | | | | | - Matteo Scortichini
- Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Liana Veronico
- Statistical Department, Italian Workers' Compensation Authority (INAIL), Rome, Italy
| | - Alessandro Marinaccio
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Monte Porzio Catone, RM, Italy
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15
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Liang M, Zhao D, Wu Y, Ye P, Wang Y, Yao Z, Bi P, Duan L, Sun Y. Short-term effects of ambient temperature and road traffic accident injuries in Dalian, Northern China: A distributed lag non-linear analysis. ACCIDENT; ANALYSIS AND PREVENTION 2021; 153:106057. [PMID: 33647596 DOI: 10.1016/j.aap.2021.106057] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/30/2020] [Accepted: 02/19/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Although traffic accidents cause considerable economic losses and injuries to individuals, families, and communities, little is known about the impact of meteorological factors on the incidence of traffic accident injuries (TAIs). Therefore, a time-series study was conducted to explore the effect of meteorological variables on TAIs in Dalian, Northern China. METHODS Poisson generalized linear models (PGLM) combined with distributed lag nonlinear models (DLNM) were used to estimate the association between daily TAIs and ambient temperature in Dalian, China, 2015-2017. The injury data collected by Dalian national injury surveillance hospitals, and meteorological data were extracted and accumulated from the National Meteorological Information Center. Modified the model with variables such as pressure, humidity, precipitation, PM2.5, SO2, O3, day of the week, seasonality, and time trend. In the subgroup analysis, the modification effects of gender and age were also examined. RESULTS Both high temperatures (RR = 1.198, 95%CI:1.017-1.411) and low temperatures (RR = 1.017, 95%CI:1.001-1.035) increased the risk of TAIs. The cumulative lag effect would last until after the 7th day. While the 40-59 years subgroup seemed to be more vulnerable in high temperature environments, those who are more than 60 years showed higher TAIs in low temperatures for both single-day and cumulative TAI risks. CONCLUSIONS Identifying the association between ambient temperature and traffic injuries could provide needed scientific evidence for relevant public health actions.
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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, China
| | - Dongdong Zhao
- The First Affiliated Hospital of Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yile Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Pengpeng Ye
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yuan Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Zhenhai Yao
- Anhui Meteorological Service Center, Anhui Meteorological Bureau, No. 16 Shihe Road, Hefei, 230000, Anhui, China
| | - Peng Bi
- School of Public Health, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Leilei Duan
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China; Center for Injury Control and Prevention, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
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16
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Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents. SUSTAINABILITY 2021. [DOI: 10.3390/su13010390] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Climate change and the extreme weather have a negative impact on road traffic safety, resulting in severe road traffic accidents. In this study, a negative binomial model and a log-change model are proposed to analyse the impact of various factors on fatal traffic accidents. The dataset used in this study includes the fatal traffic accident frequency, social development indicators and climate indicators in California and Arizona. The results show that both models can provide accurate fitting results. Climate variables (i.e., average temperature and standard precipitation 24) can significantly affect the frequency of fatal traffic accidents. Non-climate variables (i.e., beer consumption, rural Vehicle miles travelled ratio, and vehicle performance) also have a significant impact. The modelling results can provide decision-making guidelines for the transportation management agencies to improve road traffic safety.
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17
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Mental Health Disorders and Summer Temperature-Related Mortality: A Case Crossover Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17239122. [PMID: 33297344 PMCID: PMC7731125 DOI: 10.3390/ijerph17239122] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/02/2020] [Accepted: 12/03/2020] [Indexed: 02/06/2023]
Abstract
Identifying the most vulnerable subjects is crucial for the effectiveness of health interventions aimed at limiting the adverse consequences of high temperatures. We conducted a case crossover study aimed at assessing whether suffering from mental health disorders modifies the effect of high temperatures on mortality. We included all deaths occurred in the area of Bologna Local Health Trust during the summers 2004-2017. Subjects with mental disorders were identified by using the local Mental Health Registry. A conditional logistic model was applied, and a z-test was used to study the effect modification. Several models were estimated stratifying by subjects' characteristics. For every 1 °C above 24 °C, mortality among people without mental disorders increased by 1.9% (95% CI 1.0-2.6, p < 0.0001), while among mental health service users, mortality increased by 5.5% (95% CI 2.4-8.6, p < 0.0001) (z-test equal to p = 0.0259). The effect modification varied according to gender, residency and cause of death. The highest probability of dying due to an increase in temperature was registered in patients with depression and cognitive decline. In order to reduce the effects of high temperatures on mortality, health intervention strategies should include mental health patients among the most vulnerable subjects taking account of their demographic and clinical characteristics.
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18
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Zhan ZY, Yu YM, Chen TT, Xu LJ, Ou CQ. Effects of hourly precipitation and temperature on road traffic casualties in Shenzhen, China (2010-2016): A time-stratified case-crossover study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 720:137482. [PMID: 32145618 DOI: 10.1016/j.scitotenv.2020.137482] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 02/09/2020] [Accepted: 02/20/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND Although road traffic casualty (RTC) is preventable, it remains the eighth leading cause of death globally, especially in developing countries. Previous studies suggested the association between RTC and monthly or daily weather conditions, while the acute effects of weather conditions on an hourly timescale remains unknown. This study aims to quantify hourly effects of precipitation and temperature on RTC. METHODS Using ambulance records on RTC during 2010-2016 for the whole population in Shenzhen, China, we conducted a time-stratified case-crossover design which can inherently control for hour of the day, day of the week, seasonality, time trends and potential time-invariant confounders. Conditional quasi-Poisson regression with distributed lag nonlinear model was used to determine the effects of hourly precipitation and temperature on RTC. RESULTS Light and heavy precipitation increased RTC in current and following 2 h by 8.09% (95% CI: 4.20-12.12%) and 11.62% (95% CI: 5.93-17.62%), respectively. A J-shaped temperature-RTC curve revealed that each 1 °C increment above 17 °C were associated with a 0.87% (0.52-1.22%) increase in RTC. High temperature accounted for 6.44% (95% CI: 3.95-8.91%) of all RTC, with a high fraction of 10.64% (95% CI: 4.33-15.96%) during warm season and 8.30% (95% CI: 4.26-12.66%) in traffic peak hours. Precipitation contributed to 0.68% (95% CI: 0.44-0.92%) of RTC within 3 h. The middle-aged and female suffered more from precipitation-associated RTC, and the younger suffered more from high temperature-associated RTC. CONCLUSIONS High temperature increased substantially hourly RTC. Precipitation was also a risk factor of RTC and the adverse effect lasted for 3 h. The findings would be helpful to guide the development of targeted intervention to accelerate progress in road traffic safety.
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Affiliation(s)
- Zhi-Ying Zhan
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Yi-Min Yu
- Shenzhen Center for Prehospital Care, Shenzhen 518035, China; The People's Hospital of Longhua, Shenzhen 518109, China
| | - Ting-Ting Chen
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Li-Jun Xu
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Chun-Quan Ou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
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