ORCID Profile
0000-0002-3965-1359
Current Organisation
Yale University
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Environmental and Occupational Health and Safety | Natural Hazards | Public Health and Health Services | Environmental Impact Assessment |
Social Impacts of Climate Change and Variability | Environmental Health | Health Protection and/or Disaster Response
Publisher: Environmental Health Perspectives
Date: 10-2014
DOI: 10.1289/EHP.1307741
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 11-2018
Publisher: Oxford University Press (OUP)
Date: 25-09-2013
DOI: 10.1093/AJE/KWT216
Publisher: Elsevier BV
Date: 09-2014
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 08-2022
DOI: 10.1016/J.ENVPOL.2022.119465
Abstract: Multiple systematic reviews and meta-analyses linked prenatal exposure to ambient air pollutants to adverse birth outcomes with mixed findings, including results indicating positive, negative, and null associations across the pregnancy periods. The objective of this study was to systematically summarise systematic reviews and meta-analyses on air pollutants and birth outcomes to assess the overall epidemiological evidence. Systematic reviews with/without meta-analyses on the association between air pollutants (NO
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 06-2022
DOI: 10.1016/J.ENVRES.2022.112754
Abstract: Many studies have illustrated adverse effects of short-term exposure to air pollution on human health, which usually assumes a linear exposure-response (E-R) function in the delineation of health effects due to air pollution. However, nonlinearity may exist in the association between air pollutant concentrations and health outcomes such as adult pneumonia hospital visits, and there is a research gap in understanding the nonlinearity. Here, we utilized both the distributed lag model (DLM) and nonlinear model (DLNM) to compare the linear and nonlinear impacts of air pollution on adult pneumonia hospital visits in the coastal city of Qingdao, China. While both models show adverse effects of air pollutants on adult pneumonia hospital visits, the DLNM shows an attenuation of E-R curves at high concentrations. Moreover, the DLNM may reveal delayed health effects that may be missed in the DLM, e.g., ozone exposure and pneumonia hospital visits. With the stratified analysis of air pollutants on adult pneumonia hospital visits, both models consistently reveal that the influence of air pollutants is higher during the cold season than during the warm season. Nevertheless, they may behave differently in terms of other subgroups, such as age, gender and visit types. For instance, while no significant impact due to PM
Publisher: Elsevier BV
Date: 2015
Publisher: Environmental Health Perspectives
Date: 10-2016
DOI: 10.1289/EHP149
Publisher: Environmental Health Perspectives
Date: 03-10-2017
DOI: 10.1289/EHP1756
Publisher: Springer Science and Business Media LLC
Date: 20-09-2023
Publisher: Oxford University Press (OUP)
Date: 19-10-2017
DOI: 10.1093/AJE/KWX335
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 12-2017
Publisher: Environmental Health Perspectives
Date: 03-2013
DOI: 10.1289/EHP.1205575
Publisher: Public Library of Science (PLoS)
Date: 31-07-2018
Publisher: Elsevier BV
Date: 02-2017
Publisher: Elsevier BV
Date: 07-2015
Publisher: Elsevier BV
Date: 09-2017
Publisher: American Medical Association (AMA)
Date: 10-04-2018
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 03-01-2023
DOI: 10.1161/CIRCULATIONAHA.122.061832
Abstract: Cardiovascular disease is the leading cause of death worldwide. Existing studies on the association between temperatures and cardiovascular deaths have been limited in geographic zones and have generally considered associations with total cardiovascular deaths rather than cause-specific cardiovascular deaths. We used unified data collection protocols within the Multi-Country Multi-City Collaborative Network to assemble a database of daily counts of specific cardiovascular causes of death from 567 cities in 27 countries across 5 continents in overlapping periods ranging from 1979 to 2019. City-specific daily ambient temperatures were obtained from weather stations and climate reanalysis models. To investigate cardiovascular mortality associations with extreme hot and cold temperatures, we fit case-crossover models in each city and then used a mixed-effects meta-analytic framework to pool in idual city estimates. Extreme temperature percentiles were compared with the minimum mortality temperature in each location. Excess deaths were calculated for a range of extreme temperature days. The analyses included deaths from any cardiovascular cause (32 154 935), ischemic heart disease (11 745 880), stroke (9 351 312), heart failure (3 673 723), and arrhythmia (670 859). At extreme temperature percentiles, heat (99th percentile) and cold (1st percentile) were associated with higher risk of dying from any cardiovascular cause, ischemic heart disease, stroke, and heart failure as compared to the minimum mortality temperature, which is the temperature associated with least mortality. Across a range of extreme temperatures, hot days (above 97.5th percentile) and cold days (below 2.5th percentile) accounted for 2.2 (95% empirical CI [eCI], 2.1–2.3) and 9.1 (95% eCI, 8.9–9.2) excess deaths for every 1000 cardiovascular deaths, respectively. Heart failure was associated with the highest excess deaths proportion from extreme hot and cold days with 2.6 (95% eCI, 2.4–2.8) and 12.8 (95% eCI, 12.2–13.1) for every 1000 heart failure deaths, respectively. Across a large, multinational s le, exposure to extreme hot and cold temperatures was associated with a greater risk of mortality from multiple common cardiovascular conditions. The intersections between extreme temperatures and cardiovascular health need to be thoroughly characterized in the present day—and especially under a changing climate.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 03-2015
Publisher: Springer Science and Business Media LLC
Date: 18-01-2015
DOI: 10.1007/S00484-014-0950-1
Abstract: In developed countries, low latitude and high temperature are positively associated with the population's ability to adapt to heat. However, few studies have examined the effect of economic status on the relationship between long-term exposure to high temperature and health. We compared heterogeneous temperature-related mortality effects relative to the average summer temperature in high-socioeconomic-status (SES) cities to temperature-related effects in low-SES cities. In the first stage of the research, we conducted a linear regression analysis to quantify the mortality effects of high temperature (at or above the 95th percentile) in 32 cities in Taiwan, China, Japan, and Korea. In the second stage, we used a meta-regression to examine the association between mortality risk with average summer temperature and gross domestic product (GDP) per capita. In cities with a low GDP per capita (less than 20,000 USD), the effects of temperature were detrimental to the population if the long-term average summer temperature was high. In contrast, in cities with a high GDP per capita, temperature-related mortality risk was not significantly related to average summer temperature. The relationship between long-term average summer temperature and the short-term effects of high temperatures differed based on the city-level economic status.
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.ENVRES.2017.07.044
Abstract: Estimating exposure to particulate matter (PM
Publisher: Environmental Health Perspectives
Date: 16-08-2017
DOI: 10.1289/EHP1026
Publisher: Elsevier BV
Date: 09-2014
Publisher: Oxford University Press (OUP)
Date: 21-04-2017
DOI: 10.1093/AJE/KWW199
Publisher: Environmental Health Perspectives
Date: 07-2011
DOI: 10.1289/EHP.1002725
Publisher: Elsevier BV
Date: 12-2012
Publisher: Elsevier BV
Date: 09-2014
Publisher: Springer Science and Business Media LLC
Date: 13-09-2018
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.ENVINT.2017.10.018
Abstract: Although diurnal temperature range (DTR) is a key index of climate change, few studies have reported the health burden of DTR and its temporal changes at a multi-country scale. Therefore, we assessed the attributable risk fraction of DTR on mortality and its temporal variations in a multi-country data set. We collected time-series data covering mortality and weather variables from 308 cities in 10 countries from 1972 to 2013. The temporal change in DTR-related mortality was estimated for each city with a time-varying distributed lag model. Estimates for each city were pooled using a multivariate meta-analysis. The results showed that the attributable fraction of total mortality to DTR was 2.5% (95% eCI: 2.3-2.7%) over the entire study period. In all countries, the attributable fraction increased from 2.4% (2.1-2.7%) to 2.7% (2.4-2.9%) between the first and last study years. This study found that DTR has significantly contributed to mortality in all the countries studied, and this attributable fraction has significantly increased over time in the USA, the UK, Spain, and South Korea. Therefore, because the health burden of DTR is not likely to reduce in the near future, countermeasures are needed to alleviate its impact on human health.
Publisher: Springer Science and Business Media LLC
Date: 06-03-2018
DOI: 10.1038/S41370-018-0026-0
Abstract: Health studies on spatially-varying exposures (e.g., air pollution) during pregnancy often estimate exposure using residence at birth, disregarding residential mobility. We investigated moving patterns in pregnant women (n = 10,116) in linked cohorts focused on Connecticut and Massachusetts, U.S., 1988-2008. Moving patterns were assessed by race/ethnicity, age, marital status, education, working status, population density, parity, income, and season of birth. In this population, 11.6% of women moved during pregnancy. Movers were more likely to be younger, unmarried, and living in urban areas with no previous children. Among movers, multiple moves were more likely for racial/ethnic minority, younger, less educated, unmarried, and lower income women. Most moves occurred later in pregnancy, with 87.4% of first moves in the second or third trimester, although not all cohort subjects enrolled in the first few weeks of pregnancy. Distance between first and second residence had a median value of 5.2 km (interquartile range 11.3 km, average 57.8 km, range 0.0-4277 km). Women moving larger distances were more likely to be white, older, married, and work during pregnancy. Findings indicate that residential mobility may impact studies of spatially-varying exposure during pregnancy and health and that subpopulations vary in probability of moving, and timing and distance of moves.
Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 05-2016
Location: United Kingdom of Great Britain and Northern Ireland
Location: United States of America
Location: United States of America
Location: United States of America
Location: United States of America
Location: No location found
Start Date: 04-2022
End Date: 03-2025
Amount: $466,964.00
Funder: Australian Research Council
View Funded Activity