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Yang Z, Huang W, McKenzie JE, Yu P, Wu Y, Xu R, Ye T, Ju K, Zhang Y, Huang Y, Guo Y, Li S. The association of adverse birth outcomes with flood exposure before and during pregnancy in Australia: a cohort study. Lancet Planet Health 2024; 8:e554-e563. [PMID: 39122324 DOI: 10.1016/s2542-5196(24)00142-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Exposure to floods might increase the risks of adverse birth outcomes. However, the current evidence is scarce, inconsistent, and has knowledge gaps. This study aims to estimate the associations of flood exposure before and during pregnancy with adverse birth outcomes and to identify susceptible exposure windows and effect modifiers. METHODS In this cohort study, we obtained all the birth records occurring in Greater Sydney, Australia, from Jan 1, 2001, to Dec 31, 2020, from the New South Wales Midwives Data Collection and in the Brisbane metropolitan region, Australia, from Jan 1, 1995, to Dec 31, 2014, from the Queensland Health Perinatal Data Collection. For each birth, residential address and historical flood information from the Dartmouth Flood Observatory were used to estimate the numbers of days with floods during five exposure windows (Pre-1 was defined as 13-24 weeks before the last menstrual period [LMP], Pre-2 was 0-12 weeks before the LMP, trimester 1 [Tri-1] was 0-12 weeks after the LMP, trimester 2 [Tri-2] was 13-28 weeks after the LMP, and trimester 3 [Tri-3] was ≥29 weeks after the LMP). We estimated the hazard ratios (HRs) of adverse birth outcomes (preterm births, stillbirths, term low birthweight [TLBW], and small for gestational age [SGA]) associated with flood exposures in the five exposure windows using Cox proportional hazards regression models. FINDINGS 1 338 314 birth records were included in our analyses, which included 91 851 (6·9%) preterm births, 9831 (0·7%) stillbirths, 25 567 (1·9%) TLBW, and 108 658 (8·1%) SGA. Flood exposure in Pre-1 was associated with increased risks of TLBW (HR 1·06 [95% CI 1·01-1·12]) and SGA (1·04 [1·01-1·06]); flood exposure during Tri-1 was associated with increased risks of preterm births (1·03 [1·002-1·05]), stillbirth (1·11 [1·03-1·20]), and SGA (1·03 [1·01-1·06]). In contrast, flood exposures during Pre-2 and Tri-3 were associated with reduced risks. INTERPRETATION Exposures to floods in Pre-1 and Tri-1 are both associated with increased risks of adverse birth outcomes, and the risks increase with a higher exposure. Upon planning for conception and prenatal care, individuals and health practitioners should raise awareness of the increased risks of adverse birth outcomes after experiencing floods. FUNDING The Australian Research Council and the Australian National Health and Medical Research Council.
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Affiliation(s)
- Zhengyu Yang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Joanne E McKenzie
- Methods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Pei Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yao Wu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Tingting Ye
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Ke Ju
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yiwen Zhang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Yujia Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
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Wei Rong CW, Salleh H, Nishio H, Lee M. The impact of increasing ambient temperature on allergic rhinitis: A systematic review and meta-analysis of observational studies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174348. [PMID: 38960184 DOI: 10.1016/j.scitotenv.2024.174348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/24/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024]
Abstract
INTRODUCTION Global warming appears to initiate and aggravate allergic respiratory conditions via interaction with numerous environmental factors. Temperature, commonly identified as a factor in climate change, is important in this process. Allergic rhinitis, a common respiratory allergy, is on the rise and affects approximately 500 million individuals worldwide. The increasing ambient temperature requires evaluation regarding its influence on allergic rhinitis, taking into account regional climate zones. METHODS A detailed search of PubMed, EMBASE, Scopus, Web of Science, MEDLINE, and CINAHL Plus databases, was conducted, encompassing observational studies published from 1991 to 2023. Original studies examining the relationship between increasing temperature and allergic rhinitis were assessed for eligibility followed by a risk of bias assessment. Random effects meta-analysis was utilized to measure the association between a 1 °C increase in temperature and allergic rhinitis-related outcomes. RESULTS 20 studies were included in the qualitative synthesis, with nine of them subsequently selected for the quantitative synthesis. 20 included studies were rated as Level 4 evidence according to the Oxford Centre for Evidence-Based Medicine, and the majority of these reported good-quality evidence based on the Newcastle-Ottawa Quality Rating Scale. Using the Risk of Bias In Non-Randomized Studies of Exposure tool, the majority of studies exhibit a high risk of bias. Every 1 °C increase in temperature significantly raised the risk of allergic rhinitis-related outcomes by 29 % (RR = 1.26, 95 % CI: 1.11 to 1.50). Conversely, every 1 °C rise in temperature showed no significant increase in the odds of allergic rhinitis-related outcomes by 7 % (OR = 1.07, 95 % CI: 0.95 to 1.21). Subsequent subgroup analysis identified climate zone as an influential factor influencing this association. CONCLUSION It is inconclusive to definitively suggest a harmful effect of increasing temperature exposure on allergic rhinitis, due overall very low certainty of evidence. Further original research with better methodological quality is required.
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Affiliation(s)
- Christine Wong Wei Rong
- Public Health Division, Sabah State Health Department, Ministry of Health, Federal House, Mailbox no. 11290, 88814 Kota Kinabalu, Sabah, Malaysia; Graduate School of Public Health, St. Luke's International University, 3-6-2, Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
| | - Hazeqa Salleh
- Tuaran District Health Office, Sabah State Health Department, Ministry of Health, Mailbox no. 620, 89208 Tuaran, Sabah, Malaysia.
| | - Haruna Nishio
- Graduate School of Public Health, St. Luke's International University, 3-6-2, Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
| | - Mihye Lee
- Graduate School of Public Health, St. Luke's International University, 3-6-2, Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
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Schlesinger M, Prieto Alvarado FE, Borbón Ramos ME, Sewe MO, Merle CS, Kroeger A, Hussain-Alkhateeb L. Enabling countries to manage outbreaks: statistical, operational, and contextual analysis of the early warning and response system (EWARS-csd) for dengue outbreaks. Front Public Health 2024; 12:1323618. [PMID: 38314090 PMCID: PMC10834665 DOI: 10.3389/fpubh.2024.1323618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/08/2024] [Indexed: 02/06/2024] Open
Abstract
Introduction Dengue is currently the fastest-spreading mosquito-borne viral illness in the world, with over half of the world's population living in areas at risk of dengue. As dengue continues to spread and become more of a health burden, it is essential to have tools that can predict when and where outbreaks might occur to better prepare vector control operations and communities' responses. One such predictive tool, the Early Warning and Response System for climate-sensitive diseases (EWARS-csd), primarily uses climatic data to alert health systems of outbreaks weeks before they occur. EWARS-csd uses the robust Distribution Lag Non-linear Model in combination with the INLA Bayesian regression framework to predict outbreaks, utilizing historical data. This study seeks to validate the tool's performance in two states of Colombia, evaluating how well the tool performed in 11 municipalities of varying dengue endemicity levels. Methods The validation study used retrospective data with alarm indicators (mean temperature and rain sum) and an outbreak indicator (weekly hospitalizations) from 11 municipalities spanning two states in Colombia from 2015 to 2020. Calibrations of different variables were performed to find the optimal sensitivity and positive predictive value for each municipality. Results The study demonstrated that the tool produced overall reliable early outbreak alarms. The median of the most optimal calibration for each municipality was very high: sensitivity (97%), specificity (94%), positive predictive value (75%), and negative predictive value (99%; 95% CI). Discussion The tool worked well across all population sizes and all endemicity levels but had slightly poorer results in the highly endemic municipality at predicting non-outbreak weeks. Migration and/or socioeconomic status are factors that might impact predictive performance and should be further evaluated. Overall EWARS-csd performed very well, providing evidence that it should continue to be implemented in Colombia and other countries for outbreak prediction.
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Affiliation(s)
- Mikaela Schlesinger
- Global Health Research Group, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Franklyn Edwin Prieto Alvarado
- Directorate of Surveillance and Risk Analysis in Public Health, Instituto Nacional de Salud (INS) de Colombia, Bogota, Colombia
| | - Milena Edith Borbón Ramos
- Directorate of Surveillance and Risk Analysis in Public Health, Instituto Nacional de Salud (INS) de Colombia, Bogota, Colombia
| | - Maquins Odhiambo Sewe
- Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Corinne Simone Merle
- Special Program for Research and Training in Tropical Diseases (TDR-WHO), World Health Organization, Geneva, Switzerland
| | - Axel Kroeger
- Freiburg University, Center for Medicine, and Society (ZMG)/Institute of Infection Prevention, Freiburg, Germany
| | - Laith Hussain-Alkhateeb
- Global Health Research Group, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
- Population Health Research Section, King Abdullah International Medical Research Center (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia
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Martinson E, Chang HH, D’Souza RR, Ebelt S, Scovronick N. Association between outdoor temperature and fatal police shootings in the United States, 2015-2021. Environ Epidemiol 2023; 7:e267. [PMID: 38912390 PMCID: PMC11189680 DOI: 10.1097/ee9.0000000000000267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 08/02/2023] [Indexed: 06/25/2024] Open
Abstract
Background Here, we investigate the association between outdoor temperature and fatal police shootings in the United States between 2015 and 2021. Methods We conducted a time-stratified case-crossover study. Data on fatal police shootings were from the Washington Post's Fatal Force database and temperature data were from Daymet. Results A 5°C increase in maximum same-day temperature was associated with a 1.033 (95% CI = 1.002, 1.065) increased odds of a fatal police shooting. In stratified analyses, the strongest associations were observed in victims who were armed (OR, 1.052 [95% CI = 1.017, 1.088), White (OR, 1.052 [95% CI = 1.006, 1.100), or aged 45+ (OR, 1.110 [95% CI = 1.044, 1.181]). In additional subgroup analyses, relative risks were also generally higher among those who were armed. Conclusions There is evidence of an association between outdoor temperature and fatal police shootings in the United States, particularly when the victims were reported as armed. This study cannot determine if the associations are a result of any specific causes (e.g., increased police aggression or other factors).
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Affiliation(s)
- Ellen Martinson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Howard H. Chang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Rohan R. D’Souza
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Stefanie Ebelt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Noah Scovronick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
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Jingesi M, Lan S, Hu J, Dai M, Huang S, Chen S, Liu N, Lv Z, Ji J, Li X, Wang P, Cheng J, Peng J, Yin P. Association between thermal stress and cardiovascular mortality in the subtropics. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:2093-2106. [PMID: 37878088 DOI: 10.1007/s00484-023-02565-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 09/13/2023] [Accepted: 10/15/2023] [Indexed: 10/26/2023]
Abstract
Hazardous thermal conditions resulting from climate change may play a role in cardiovascular disease development. We chose the Universal Thermal Climate Index (UTCI) as the exposure metric to evaluate the relationship between thermal conditions and cardiovascular mortality in Shenzhen, China. We applied quasi-Poisson regression non-linear distributed lag models to evaluate the exposure-response associations. The findings suggest that cardiovascular mortality risks were significantly increased under heat and cold stress, and the adverse effects of cold stress were stronger than heat stress. Referencing the 50th percentile of UTCI (25.4°C), the cumulative risk of cardiovascular mortality was 75% (RRlag0-21 =1.75, 95%CI: 1.32, 2.32) higher in the 1st percentile (3.5°C), and 40% (RRlag0-21=1.40, 95%CI: 1.09, 1.80) higher in the 99th percentile (34.1°C). We observed that individuals older than 65 years were more vulnerable to both cold and heat stress, and females were identified as more susceptible to heat stress than males. Moreover, increased mortality risks of hypertensive disease and cerebrovascular disease were observed under cold stress, while heat stress was related to higher risks of mortality for hypertensive disease and ischemic heart disease. We also observed a stronger relationship between cold stress and ischemic heart disease mortality during the cold season, as well as a significant impact of heat stress on cerebrovascular disease mortality in the warm season when compared to the analysis of the entire year. These results confirm the significant relationship between thermal stress and cardiovascular mortality, with age and sex as potential effect modifiers of this association. Providing affordable air conditioning equipment, increasing the amount of vegetation, and establishing comprehensive early warning systems that take human thermoregulation into account could all help to safeguard the well-being of the public, particularly vulnerable populations, in the event of future extreme weather.
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Affiliation(s)
- Maidina Jingesi
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Shuhua Lan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Mengyi Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Siyi Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Ning Liu
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Ziquan Lv
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Jiajia Ji
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Xiaoheng Li
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Ji Peng
- Shenzhen Center for Chronic Disease Control, 2021 Buxin Rd, Shenzhen, 518020, Guangdong, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
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Sugeno M, Kawazu EC, Kim H, Banouvong V, Pehlivan N, Gilfillan D, Kim H, Kim Y. Association between environmental factors and dengue incidence in Lao People's Democratic Republic: a nationwide time-series study. BMC Public Health 2023; 23:2348. [PMID: 38012549 PMCID: PMC10683213 DOI: 10.1186/s12889-023-17277-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/20/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Dengue fever is a vector-borne disease of global public health concern, with an increasing number of cases and a widening area of endemicity in recent years. Meteorological factors influence dengue transmission. This study aimed to estimate the association between meteorological factors (i.e., temperature and rainfall) and dengue incidence and the effect of altitude on this association in the Lao People's Democratic Republic (Lao PDR). METHODS We used weekly dengue incidence and meteorological data, including temperature and rainfall, from 18 jurisdictions in Lao PDR from 2015 to 2019. A two-stage distributed lag nonlinear model with a quasi-Poisson distribution was used to account for the nonlinear and delayed associations between dengue incidence and meteorological variables, adjusting for long-term time trends and autocorrelation. RESULTS A total of 55,561 cases were reported in Lao PDR from 2015 to 2019. The cumulative relative risk for the 90th percentile of weekly mean temperature (29 °C) over 22 weeks was estimated at 4.21 (95% confidence interval: 2.00-8.84), relative to the 25th percentile (24 °C). The cumulative relative risk for the weekly total rainfall over 12 weeks peaked at 82 mm (relative risk = 1.76, 95% confidence interval: 0.91-3.40) relative to no rain. However, the risk decreased significantly when heavy rain exceeded 200 mm. We found no evidence that altitude modified these associations. CONCLUSIONS We found a lagged nonlinear relationship between meteorological factors and dengue incidence in Lao PDR. These findings can be used to develop climate-based early warning systems and provide insights for improving vector control in the country.
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Affiliation(s)
- Masumi Sugeno
- Department of Global Environmental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Erin C Kawazu
- Institute for Global Environmental Strategies, Hayama, Japan
| | - Hyun Kim
- School of Public Health, University of Minnesota Twin Cities, Minneapolis, USA
| | - Virasack Banouvong
- Lao PDR Centre for Malariology, Parasitology and Entomology, Vientiane Capital, Lao People's Democratic Republic
| | - Nazife Pehlivan
- Graduate School of Public Health, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 151-742, South Korea
| | - Daniel Gilfillan
- Fenner School of Environment and Society, Australian National University, Australian Capital Territory, Canberra, Australia
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 151-742, South Korea.
| | - Yoonhee Kim
- Department of Global Environmental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
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Wu Y, Liang M, Liang Q, Yang X, Sun Y. A distributed lag non-linear time-series study of ambient temperature and healthcare-associated infections in Hefei, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:258-267. [PMID: 34915779 DOI: 10.1080/09603123.2021.2017862] [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: 09/08/2021] [Accepted: 12/08/2021] [Indexed: 06/14/2023]
Abstract
Little is known about the effects of temperature on healthcare-associated infections (HAIs). A distributed lag non-linear model was used to estimate the association between ambient temperature and HAIs in Hefei, China. In total, 9,592 HAIs were included. The effect of low temperature (-0.1°C, 2.5th percentile) was significant on the current day (RR = 1.108, 95%CI:1.003-1.222), and then appeared on the 4th day (RR = 1.045, 95%CI:1.007-1.084) and the 5th day (RR = 1.033, 95%CI:1.006-1.061). The cumulative lag effects of low temperature lasted from the 5th to 10th days (RR = 1.123-1.143), and a long-term cumulative lag effect was observed on the 14th day (RR = 1.157, 95%CI:1.001-1.338). The lag effect of high temperature (31.0°C, 97.5th percentile) was not statistically significant. However, the effects of temperatures on HAIs were not significant among gender or age subgroups. This study suggests that the low temperatures have acute and lag effects on HAIs in Hefei, China.
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Affiliation(s)
- Yile Wu
- Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Department of Hospital infection Prevention and Control, Children's Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xiyao Yang
- Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Center for Evidence-Based Practice, Anhui Medical University, Hefei, Anhui, China
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Du Y, Jing M, Lu C, Zong J, Wang L, Wang Q. Global Population Exposure to Extreme Temperatures and Disease Burden. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13288. [PMID: 36293869 PMCID: PMC9603138 DOI: 10.3390/ijerph192013288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
The frequency and duration of extreme temperature events continues to increase worldwide. However, the scale of population exposure and its quantitative relationship with health risks remains unknown on a global scale, limiting our ability to identify policy priorities in response to climate change. Based on data from 171 countries between 2010 and 2019, this study estimated the exposure of vulnerable populations to extreme temperatures, and their contemporary and lag associations with disease burden attributed to non-optimal temperatures. Fixed-effects models and dynamic panel models were applied. Increased vulnerable population exposure to extreme temperatures had adverse contemporary effects on the burden of disease attributed to non-optimal temperature. Health risks stemming from extreme cold could accumulate to a greater extent, exhibiting a larger lag effect. Population exposure to extreme cold was mainly distributed in high-income countries, while extreme heat occurred more in low-income and middle-income countries. However, the association between population exposure to extreme cold and burden of disease was much stronger in low-income and middle-income countries than in high-income countries, whereas the effect size of population exposure to extreme heat was similar. Our study highlighted that differential strategies should be determined and implemented according to the characteristics in different countries.
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Affiliation(s)
- Yajie Du
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Ming Jing
- School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Science), Jinan 250353, China
| | - Chunyu Lu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Jingru Zong
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Lingli Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
| | - Qing Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Institute of Health Data Science of China, Shandong University, Jinan 250012, China
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Chau PH, Lau KKL, Qian XX, Luo H, Woo J. Visits to the accident and emergency department in hot season of a city with subtropical climate: association with heat stress and related meteorological variables. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1955-1971. [PMID: 35900375 PMCID: PMC9330976 DOI: 10.1007/s00484-022-02332-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 07/08/2022] [Indexed: 05/12/2023]
Abstract
BACKGROUND Literature reporting the association between heat stress defined by universal thermal climate index (UTCI) and emergency department visits is mainly conducted in Europe. This study aimed to investigate the association between heat stress, as defined by the UTCI, and visits to the accident and emergency department (AED) in Hong Kong, which represents a subtropical climate region. METHODS A retrospective study involving 13,438,846 AED visits in the public sector from May 2000 to September 2016, excluding 2003 and 2009, was conducted in Hong Kong. Age-sex-specific ANCOVA models of daily AED rates on heat stress and prolonged heat stress, adjusting for air quality, prolonged poor air quality, typhoon, rainstorm, year, day of the week, public holiday, summer vacation, and fee charging, were used. RESULTS On a day with strong heat stress (32.1 °C ≤ UTCI ≤ 38.0 °C), the AED visit rate (per 100,000) increased by 0.9 (95% CI: 0.5, 1.3) and 1.7 (95% CI: 1.3, 2.1) for females and males aged 19-64 and 4.1 (95% CI: 2.7, 5.4) and 4.1 (95% CI: 2.6, 5.6) for females and males aged ≥ 65, while keeping other variables constant. On a day with very strong heat stress (38.1 °C ≤ UTCI ≤ 46.0 °C), the corresponding rates increased by 0.6 (95% CI: 0.1, 1.2), 2.2 (95% CI: 1.7, 2.7), 4.9 (95% CI: 3.1, 6.7), and 4.7 (95% CI: 2.7, 6.6), respectively. The effect size of heat stress associated with AED visit rates was negligible among those aged ≤ 18. Heat stress showed the greatest effect size for males aged 19-64 among all subgroups. CONCLUSION Biothermal condition from heat stress was associated with the health of the citizens in a city with a subtropical climate and reflected in the increase of daily AED visit. Public health recommendations have been made accordingly for the prevention of heat-related AED visits.
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Affiliation(s)
- Pui Hing Chau
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
| | - Kevin Ka-Lun Lau
- Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, Sweden
| | - Xing Xing Qian
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Hao Luo
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Jean Woo
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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10
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Mamiya H, Schmidt AM, Moodie EEM, Buckeridge DL. Estimating the lagged effect of price discounting: a time-series study on sugar sweetened beverage purchasing in a supermarket. BMC Public Health 2022; 22:1502. [PMID: 35932051 PMCID: PMC9356513 DOI: 10.1186/s12889-022-13928-w] [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: 04/13/2022] [Accepted: 07/29/2022] [Indexed: 11/28/2022] Open
Abstract
Background Price discount is an unregulated obesogenic environmental risk factor for the purchasing of unhealthy food, including Sugar Sweetened Beverages (SSB). Sales of price discounted food items are known to increase during the period of discounting. However, the presence and extent of the lagged effect of discounting, a sustained level of sales after discounting ends, is previously unaccounted for. We investigated the presence of the lagged effect of discounting on the sales of five SSB categories, which are soda, fruit juice, sport and energy drink, sugar-sweetened coffee and tea, and sugar-sweetened drinkable yogurt. Methods We fitted distributed lag models to weekly volume-standardized sales and percent discounting generated by a supermarket in Montreal, Canada between January 2008 and December 2013, inclusive (n = 311 weeks). Results While the sales of SSB increased during the period of discounting, there was no evidence of a prominent lagged effect of discounting in four of the five SSB; the exception was sports and energy drinks, where a posterior mean of 28,459 servings (95% credible interval: 2661 to 67,253) of excess sales can be attributed to the lagged effect in the target store during the 6 years study period. Conclusion Our results indicate that studies that do not account for the lagged effect of promotions may not fully capture the effect of price discounting for some food categories. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13928-w.
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Affiliation(s)
- Hiroshi Mamiya
- School of Global and Population Health, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Suite 1200, 2001 McGill College Avenue, Montreal, QC, H3A1G1, Canada.
| | - Alexandra M Schmidt
- School of Global and Population Health, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Suite 1200, 2001 McGill College Avenue, Montreal, QC, H3A1G1, Canada
| | - Erica E M Moodie
- School of Global and Population Health, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Suite 1200, 2001 McGill College Avenue, Montreal, QC, H3A1G1, Canada
| | - David L Buckeridge
- School of Global and Population Health, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Suite 1200, 2001 McGill College Avenue, Montreal, QC, H3A1G1, Canada
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11
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Lan T, Hu Y, Cheng L, Chen L, Guan X, Yang Y, Guo Y, Pan J. Floods and diarrheal morbidity: Evidence on the relationship, effect modifiers, and attributable risk from Sichuan Province, China. J Glob Health 2022; 12:11007. [PMID: 35871400 PMCID: PMC9308977 DOI: 10.7189/jogh.12.11007] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Background Although studies have provided the estimates of floods-diarrhoea associations, little is known about the lag effect, effect modification, and attributable risk. Based on Sichuan, China, an uneven socio-economic development province with plateau, basin, and mountain terrains spanning different climatic zones, we aimed to systematically examine the impacts of floods on diarrheal morbidity. Methods We retrieved information on daily diarrheal cases, floods, meteorological variables, and annual socio-economic characteristics for 21 cities in Sichuan from January 1, 2017 to December 31, 2019. We fitted time-series Poisson models to estimate the city-specific floods-diarrhoea relation over the lags of 0-14 days, and then pooled them using meta-analysis for cumulative and lag effects. We further employed meta-regression to explore potential effect modifiers and identify effect modification. We calculated the attributable diarrheal cases and fraction of attributable morbidity within the framework of the distributed lag model. Results Floods had a significant cumulative association with diarrhoea at the provincial level, but varied by regions and cities. The effects of the floods appeared on the second day after the floods and lasted for 5 days. Floods-diarrhoea relations were modified by three effect modifiers, with stronger flood effects on diarrhoea found in areas with higher air pressure, lower diurnal temperature range, or warmer temperature. Floods were responsible for advancing a fraction of diarrhoea, corresponding to 0.25% within the study period and 0.48% within the flood season. Conclusions The impacts imposed by floods were mainly distributed within the first week. The floods-diarrhoea relations varied by geographic and climatic conditions. The diarrheal burden attributable to floods is currently low in Sichuan, but this figure could increase with the exposure more intensive and the effect modifiers more detrimental in the future. Our findings are expected to provide evidence for the formulation of temporal- and spatial-specific strategies to reduce potential risks of flood-related diarrhoea.
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Affiliation(s)
- Tianjiao Lan
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, China
| | - Yifan Hu
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Liangliang Cheng
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lingwei Chen
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, China
| | - Xujing Guan
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yili Yang
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, China
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jay Pan
- HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, China
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12
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Mamiya H, Schmidt AM, Moodie EEM, Buckeridge DL. Revisiting Transfer Functions: Learning About a Lagged Exposure-Outcome Association in Time-Series Data. Int J Public Health 2022; 67:1604841. [PMID: 35910431 PMCID: PMC9336681 DOI: 10.3389/ijph.2022.1604841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 06/17/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Hiroshi Mamiya
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada
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13
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Sadoine ML, Smargiassi A, Liu Y, Gachon P, Dueymes G, Dorsey G, Fournier M, Nankabirwa JI, Rek J, Zinszer K. The influence of the environment and indoor residual spraying on malaria risk in a cohort of children in Uganda. Sci Rep 2022; 12:11537. [PMID: 35798826 PMCID: PMC9262898 DOI: 10.1038/s41598-022-15654-0] [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: 12/14/2021] [Accepted: 06/27/2022] [Indexed: 12/24/2022] Open
Abstract
Studies have estimated the impact of the environment on malaria incidence although few have explored the differential impact due to malaria control interventions. Therefore, the objective of the study was to evaluate the effect of indoor residual spraying (IRS) on the relationship between malaria and environment (i.e. rainfall, temperatures, humidity, and vegetation) using data from a dynamic cohort of children from three sub-counties in Uganda. Environmental variables were extracted from remote sensing sources and averaged over different time periods. General linear mixed models were constructed for each sub-counties based on a log-binomial distribution. The influence of IRS was analysed by comparing marginal effects of environment in models adjusted and unadjusted for IRS. Great regional variability in the shape (linear and non-linear), direction, and magnitude of environmental associations with malaria risk were observed between sub-counties. IRS was significantly associated with malaria risk reduction (risk ratios vary from RR = 0.03, CI 95% [0.03-0.08] to RR = 0.35, CI95% [0.28-0.42]). Model adjustment for this intervention changed the magnitude and/or direction of environment-malaria associations, suggesting an interaction effect. This study evaluated the potential influence of IRS in the malaria-environment association and highlighted the necessity to control for interventions when they are performed to properly estimate the environmental influence on malaria. Local models are more informative to guide intervention program compared to national models.
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Affiliation(s)
- Margaux L. Sadoine
- grid.14848.310000 0001 2292 3357School of Public Health, Université de Montréal, Montréal, Québec Canada ,grid.14848.310000 0001 2292 3357Public Health Research Center, Université de Montréal, Montréal, Québec Canada
| | - Audrey Smargiassi
- grid.14848.310000 0001 2292 3357School of Public Health, Université de Montréal, Montréal, Québec Canada ,grid.14848.310000 0001 2292 3357Public Health Research Center, Université de Montréal, Montréal, Québec Canada
| | - Ying Liu
- grid.14848.310000 0001 2292 3357School of Public Health, Université de Montréal, Montréal, Québec Canada ,grid.14848.310000 0001 2292 3357Public Health Research Center, Université de Montréal, Montréal, Québec Canada
| | - Philippe Gachon
- grid.38678.320000 0001 2181 0211ESCER (Étude et Simulation du Climat à l’Échelle Régionale) Centre, Université du Québec à Montréal, Montréal, Québec Canada
| | - Guillaume Dueymes
- grid.38678.320000 0001 2181 0211ESCER (Étude et Simulation du Climat à l’Échelle Régionale) Centre, Université du Québec à Montréal, Montréal, Québec Canada
| | - Grant Dorsey
- grid.266102.10000 0001 2297 6811University of California San Francisco, San Francisco, USA
| | - Michel Fournier
- Montreal Regional Department of Public Health, Montréal, Québec Canada
| | - Joaniter I. Nankabirwa
- grid.463352.50000 0004 8340 3103Infectious Disease Research Collaboration, Kampala, Uganda ,grid.11194.3c0000 0004 0620 0548Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - John Rek
- grid.463352.50000 0004 8340 3103Infectious Disease Research Collaboration, Kampala, Uganda
| | - Kate Zinszer
- grid.14848.310000 0001 2292 3357School of Public Health, Université de Montréal, Montréal, Québec Canada ,grid.14848.310000 0001 2292 3357Public Health Research Center, Université de Montréal, Montréal, Québec Canada
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14
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Zhang R, Zhang N, Sun W, Lin H, Liu Y, Zhang T, Tao M, Sun J, Ling F, Wang Z. Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020. BMC Public Health 2022; 22:1097. [PMID: 35650552 PMCID: PMC9161505 DOI: 10.1186/s12889-022-13423-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/13/2022] [Indexed: 04/06/2023] Open
Abstract
Abstract
Background
Hemorrhagic fever with renal syndrome (HFRS) is endemic in Zhejiang Province, China, while few studies have concentrated on the influence of meteorological factors on HFRS incidence in the area.
Methods
Data on HFRS and meteorological factors from January 1, 2008 to December 31, 2020 in Taizhou City, Zhejiang Province were collected. Multivariate analysis was conducted to the relationship between meteorological factors including minimum temperatures, relative humidity, and cumulative rainfall with HFRS.
Results
The HFRS incidence peaked in November and December and it was negatively correlated with average and highest average temperatures. Compared with median of meteorological factors, the relative risks (RR) of weekly average temperature at 12 ℃, weekly highest temperature at 18 ℃relative humidity at 40%, and cumulative rainfall at 240 mm were most significant and RRs were 1.41 (95% CI: 1.09–1.82), 1.32 (95% CI: 1.05–1.66), 2.18 (95% CI: 1.16–4.07), and 1.91 (95% CI: 1.16–2.73), respectively. Average temperature, precipitation, relative humidity had interactions on HFRS and the risk of HFRS occurrence increased with the decrease of average temperature and the increase of precipitation.
Conclusion
Our study results are indicative of the association of environmental factors with the HFRS incidence, probable recommendation could be use of environmental factors as early warning signals for initiating the control measure and response.
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15
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Robinson EJ, Gregory J, Mulvenna V, Segal Y, Sullivan SG. Effect of Temperature and Rainfall on Sporadic Salmonellosis Notifications in Melbourne, Australia 2000-2019: A Time-Series Analysis. Foodborne Pathog Dis 2022; 19:341-348. [PMID: 35404147 DOI: 10.1089/fpd.2021.0093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Weather can impact infectious disease transmission, particularly for heat-sensitive pathogens, such as Salmonella. We conducted an ecological time-series analysis to estimate short-term associations between nonoutbreak-related notifications of Salmonella and weather conditions-temperature and rainfall-in Melbourne, Australia from 2000 to 2019. Distributed lag nonlinear models were created to analyze weather-salmonellosis associations and potential lag times on a weekly time scale, controlling for seasonality and long-term trends. Warmer temperatures were associated with increased risk of notification. Effects were temporally lagged, with the highest associations observed for warm temperatures 2-6 (greatest at 4) weeks before notification. The overall estimated relative risk of salmonellosis increased twofold at 33°C compared to the average weekly temperature (20.35°C) for the 8-week period preceding the disease notification. For Salmonella Typhimurium alone, this occurred at temperatures over 32°C. There were no statistically significant associations with rainfall and notification rates in any of the analyses performed. This study demonstrates the short-term influences of warm temperatures on Salmonella infections in Melbourne over a 20-year period. Salmonelloses are already the second most notified gastrointestinal diseases in Victoria, and these findings suggest that notifications may increase with increasing temperatures. This evidence contributes to previous findings that indicate concerns for public health with continued warm weather.
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Affiliation(s)
- Elizabeth J Robinson
- School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Joy Gregory
- Victorian Government Department of Health, Melbourne, Australia
| | - Vanora Mulvenna
- Victorian Government Department of Health, Melbourne, Australia
| | - Yonatan Segal
- Victorian Government Department of Jobs, Precincts and Regions, Melbourne, Australia
| | - Sheena G Sullivan
- School of Population and Global Health, The University of Melbourne, Melbourne, Australia.,WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Department of Infectious Diseases, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
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16
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Yang Z, Yang J, Zhou M, Yin P, Chen Z, Zhao Q, Hu K, Liu Q, Ou CQ. Hourly temperature variability and mortality in 31 major Chinese cities: Effect modification by individual characteristics, season and temperature zone. ENVIRONMENT INTERNATIONAL 2021; 156:106746. [PMID: 34247007 DOI: 10.1016/j.envint.2021.106746] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 06/27/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND In the context of ongoing climate change, temperature variability (TV) has been considered as an important trigger of death. However, evidence of association between mortality and hourly temperature variability (HTV) is scarce at the multi-city level, and the time window of health effects of HTV is lack of investigation. This study aims at quantifying the mortality risk and burden of HTV and exploring subpopulations susceptible to HTV from a large-scale multi-city perspective. METHODS Data on daily number of deaths and meteorology were collected for 31 Chinese major cities during 2007-2013. HTV was calculated as the standard deviation of hourly temperature within a few days. The optimal exposure period of HTV was chosen according to multiple scientific criteria. A quasi-Poisson regression combined with distributed lag nonlinear model was used to assess the city-specific HTV-mortality associations. Then, meta-analysis was further applied to pool city-specific effect estimates. Finally, we calculated the fraction of mortality attributable to HTV. Stratification analyses were conducted by individual characteristics (i.e. age, sex, and educational attainment), season, and region. RESULTS HTV calculated in a relatively long-time window like 18 d (HTV0-17) could capture the impact of HTV adequately. Per 1 °C raise of HTV0-17 associated with 1.38% (95%CI: 0.77, 1.99) increase of non-accidental mortality. During the study period, 5.47% (95%CI: 1.06, 9.64) of non-accidental mortality could be attributed to HTV. The females, the elderly, and individuals with low education level were more susceptible to HTV than their counterparts, respectively. Moreover, a stronger HTV-mortality association was observed in individuals who live in warmer season and temperature zone. CONCLUSION HTV is associated with a considerable mortality burden, which may be modified by season, geographic and individual-level factors. Our findings highlight the practical importance of establishing early warning systems and promoting health education to mitigate the impacts of temperature variability.
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Affiliation(s)
- Zhou Yang
- 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
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing 100050, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing 100050, China
| | - Zhaoyue 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
| | - Qi Zhao
- Department of Epidemiology, Shandong University, Jinan, China
| | - Kejia Hu
- Institute of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, 310058, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, 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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Combined Effect of Hot Weather and Outdoor Air Pollution on Respiratory Health: Literature Review. ATMOSPHERE 2021. [DOI: 10.3390/atmos12060790] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Association between short-term exposure to ambient air pollution and respiratory health is well documented. At the same time, it is widely known that extreme weather events intrinsically exacerbate air pollution impact. Particularly, hot weather and extreme temperatures during heat waves (HW) significantly affect human health, increasing risks of respiratory mortality and morbidity. Concurrently, a synergistic effect of air pollution and high temperatures can be combined with weather–air pollution interaction during wildfires. The purpose of the current review is to summarize literature on interplay of hot weather, air pollution, and respiratory health consequences worldwide, with the ultimate goal of identifying the most dangerous pollution agents and vulnerable population groups. A literature search was conducted using electronic databases Web of Science, Pubmed, Science Direct, and Scopus, focusing only on peer-reviewed journal articles published in English from 2000 to 2021. The main findings demonstrate that the increased level of PM10 and O3 results in significantly higher rates of respiratory and cardiopulmonary mortality. Increments in PM2.5 and PM10, O3, CO, and NO2 concentrations during high temperature episodes are dramatically associated with higher admissions to hospital in patients with chronic obstructive pulmonary disease, daily hospital emergency transports for asthma, acute and chronic bronchitis, and premature mortality caused by respiratory disease. Excessive respiratory health risk is more pronounced in elderly cohorts and small children. Both heat waves and outdoor air pollution are synergistically linked and are expected to be more serious in the future due to greater climate instability, being a crucial threat to global public health that requires the responsible involvement of researchers at all levels. Sustainable urban planning and smart city design could significantly reduce both urban heat islands effect and air pollution.
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