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Liu X, Berberian AG, Wang S, Cushing LJ. Hurricane Harvey and the risk of spontaneous preterm and early-term birth. Environ Epidemiol 2024; 8:e312. [PMID: 38799265 PMCID: PMC11115986 DOI: 10.1097/ee9.0000000000000312] [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: 10/12/2023] [Accepted: 04/16/2024] [Indexed: 05/29/2024] Open
Abstract
Background Hurricane Harvey made landfall in August 2017 and resulted in catastrophic flooding in Houston, Texas. Prior studies of hurricanes and preterm birth have found conflicting results. We tested the hypotheses that exposure to Hurricane Harvey was associated with a higher risk of spontaneous pre- and early-term birth and assessed vulnerable subpopulations. Methods We conducted a retrospective study of singleton births using administrative birth records in the nine-county greater Houston area from 2015 to 2019. We estimated the likelihood of pre- and early-term births using logistic regression, comparing births occurring during or within 1, 2, or 4 weeks of Hurricane Harvey to unexposed reference periods encompassing the same dates 2 years prior and after. Stratified models assessed effect modification by degree of flooding, birth parent age, high- vs. low-risk pregnancy, race/ethnicity, and prenatal care. Results Among 15,564 births, we found no association between exposure to Hurricane Harvey and spontaneous preterm birth within 1 week adjusted (odds ratio [OR], 1.06; 95% confidence interval [CI] = 0.91, 1.25) but a 14% higher odds of spontaneous early-term birth (OR, 1.14; 95% CI = 1.04, 1.25). The odds of early-term birth were even higher in neighborhoods with severe flooding (OR, 1.21; 95% CI = 1.05, 1.38), segregated neighborhoods (OR, 1.23; 95% CI = 1.03, 1.47), and among foreign-born Hispanics (OR, 1.21; 95% CI = 1.04, 1.53) and pregnant people receiving no prenatal care (OR, 1.37; 95% CI = 1.03, 1.82). Effect estimates were attenuated or null when considering 2-week or 4-week lags to define exposure. Conclusions Hurricane Harvey was associated with higher odds of spontaneous early-term birth up to 1 week later, especially among socially marginalized populations.
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Affiliation(s)
- Xinyue Liu
- Department of Epidemiology, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, California
| | - Alique G. Berberian
- Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, California
| | - Sophia Wang
- Institute of the Environment and Sustainability, University of California Los Angeles, California
| | - Lara J. Cushing
- Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, California
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2
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Salas RN, Burke LG, Phelan J, Wellenius GA, Orav EJ, Jha AK. Impact of extreme weather events on healthcare utilization and mortality in the United States. Nat Med 2024; 30:1118-1126. [PMID: 38424213 DOI: 10.1038/s41591-024-02833-x] [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: 08/08/2023] [Accepted: 01/25/2024] [Indexed: 03/02/2024]
Abstract
Climate change is intensifying extreme weather events. Yet a systematic analysis of post-disaster healthcare utilization and outcomes for severe weather and climate disasters, as tracked by the US government, is lacking. Following exposure to 42 US billion-dollar weather disasters (severe storm, flood, flood/severe storm, tropical cyclone and winter storm) between 2011 and 2016, we used a difference-in-differences (DID) approach to quantify changes in the rates of emergency department (ED) visits, nonelective hospitalizations and mortality between fee-for-service Medicare beneficiaries in affected compared to matched control counties in post-disaster weeks 1, 1-2 and 3-6. Overall, disasters were associated with higher rates of ED utilization in affected counties in post-disaster week 1 (DID of 1.22% (95% CI, 0.20% to 2.25%; P < 0.020)) through week 2. Nonelective hospitalizations were unchanged. Mortality was higher in affected counties in week 1 (DID of 1.40% (95% CI, 0.08% to 2.74%; P = 0.037)) and persisted for 6 weeks. Counties with the greatest loss and damage experienced greater increases in ED and mortality rates compared to all affected counties. Thus, billion-dollar weather disasters are associated with excess ED visits and mortality in Medicare beneficiaries. Tracking these outcomes is important for adaptation that protects patients and communities, health system resilience and policy.
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Affiliation(s)
- Renee N Salas
- Massachusetts General Hospital, Department of Emergency Medicine, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Harvard Global Health Institute, Cambridge, MA, USA.
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Laura G Burke
- Harvard Medical School, Boston, MA, USA
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, MA, USA
| | - Jessica Phelan
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gregory A Wellenius
- Boston University School of Public Health, Center for Climate and Health, Boston, MA, USA
| | - E John Orav
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ashish K Jha
- Brown University School of Public Health, Providence, RI, USA
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3
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Lee SA, Corbett GA, McAuliffe FM. Obstetric care for environmental migrants. Ir J Med Sci 2024; 193:797-812. [PMID: 37715828 PMCID: PMC10961262 DOI: 10.1007/s11845-023-03481-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 07/26/2023] [Indexed: 09/18/2023]
Abstract
BACKGROUND Migration due to environmental factors is an international crisis affecting many nations globally. Pregnant people are a vulnerable subgroup of migrants. AIM This article explores the potential effects of environmental migration on pregnancy and aims to draw attention to this rising concern. METHODS Based on the study aim, a semi-structured literature review was performed. The following databases were searched: MEDLine (PubMed) and Google Scholar. The search was originally conducted on 31st January 2021 and repeated on 22nd September 2022. RESULTS Pregnant migrants are at increased risk of mental health disorders, congenital anomalies, preterm birth, and maternal mortality. Pregnancies exposed to natural disasters are at risk of low birth weight, preterm birth, hypertensive disorders, gestational diabetes, and mental health morbidity. Along with the health risks, there are additional complex social factors affecting healthcare engagement in this population. CONCLUSION Maternity healthcare providers are likely to provide care for environmental migrants over the coming years. Environmental disasters and migration as individual factors have complex effects on perinatal health, and environmental migrants may be at risk of specific perinatal complications. Obstetricians and maternity healthcare workers should be aware of these challenges and appreciate the individualised and specialised care that these patients require.
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Affiliation(s)
- Sadhbh A Lee
- National Maternity Hospital, Holles St., Dublin 2, Ireland
| | | | - Fionnuala M McAuliffe
- National Maternity Hospital, Holles St., Dublin 2, Ireland.
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
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Li Y, Buendia J, Sears S, Ibrahimovic M, Bertero H, Wiseman R, Bhakta N. Impact of Hurricane Harvey on Inpatient Asthma Hospitalization Visits Within Southeast Texas, 2016-2019. J Occup Environ Med 2023; 65:924-930. [PMID: 37488772 DOI: 10.1097/jom.0000000000002928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE The aim of the study is to estimate inpatient asthma hospital visit rates among impacted Texans in Public Health Region 6/5S during the year of and after Hurricane Harvey. METHODS Asthma inpatient hospitalization discharges were collected from the Texas Health Care Information Collection database (2016-2019). RESULTS Females (age-adjusted rates [AARs] = 4.8-5.0) and Black Texans (AARs = 5.0-8.1) experienced significantly higher AARs compared with males and White Texans during the year of and after Harvey. During the year of Hurricane Harvey, females were 1.49 times as likely to have an inpatient asthma visit compared with males, while Black Texans were 2.78 times as likely to have an inpatient asthma hospitalization compared with White Texans. CONCLUSIONS Findings from this study may assist public health professionals and local officials to allocate future resources to the most impacted subgroups as well as establish effective processes to mitigate consequences.
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Affiliation(s)
- Yiyao Li
- From the Health Promotion and Chronic Disease Prevention Section, Department of State Health Services, Austin, Texas
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5
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Gao S, Wang Y. Anticipating older populations' health risk exacerbated by compound disasters based on mortality caused by heart diseases and strokes. Sci Rep 2023; 13:16810. [PMID: 37798365 PMCID: PMC10556062 DOI: 10.1038/s41598-023-43717-3] [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: 12/30/2022] [Accepted: 09/26/2023] [Indexed: 10/07/2023] Open
Abstract
The health of older populations in the Southeastern U.S. receives threats from recurrent tropical cyclones and extreme heat, which may exacerbate the mortality caused by heart diseases and strokes. Such threats can escalate when these extremes form compound disasters, which may be more frequent under climate change. However, a paucity of empirical evidence exists concerning the health threats of compound disasters, and anticipations regarding the health risks of older populations under future compound disaster scenarios are lacking. Focusing on Florida, which has 67 counties and the second-largest proportion of older populations among U.S. states, we calibrate Poisson regression models to explore older populations' mortality caused by heart diseases and strokes under single and compound disasters. The models are utilized to estimate the mortality across future disaster scenarios, the changing climate, and the growing population. We identify that under multiple hurricanes or heat, current-month hurricanes or heat can affect mortality more heavily than previous-month hurricanes or heat. Under future scenarios, co-occurring hurricanes and extreme heat can exacerbate the mortality more severely than other disaster scenarios. The same types of compound disasters can coincide with an average of 20.5% higher mortality under RCP8.5-SSP5 than under RCP4.5-SSP2. We assess older populations' future health risks, alerting health agencies to enhance preparedness for future "worst-case" scenarios of compound disasters and proactively adapt to climate change.
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Affiliation(s)
- Shangde Gao
- Department of Urban and Regional Planning and Florida Institute for Built Environment Resilience, University of Florida, Gainesville, FL, 32611, USA
| | - Yan Wang
- Department of Urban and Regional Planning and Florida Institute for Built Environment Resilience, University of Florida, Gainesville, FL, 32611, USA.
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Heft-Neal S, Gould CF, Childs ML, Kiang MV, Nadeau KC, Duggan M, Bendavid E, Burke M. Emergency department visits respond nonlinearly to wildfire smoke. Proc Natl Acad Sci U S A 2023; 120:e2302409120. [PMID: 37722035 PMCID: PMC10523589 DOI: 10.1073/pnas.2302409120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 07/28/2023] [Indexed: 09/20/2023] Open
Abstract
Air pollution negatively affects a range of health outcomes. Wildfire smoke is an increasingly important contributor to air pollution, yet wildfire smoke events are highly salient and could induce behavioral responses that alter health impacts. We combine geolocated data covering all emergency department (ED) visits to nonfederal hospitals in California from 2006 to 2017 with spatially resolved estimates of daily wildfire smoke PM[Formula: see text] concentrations and quantify how smoke events affect ED visits. Total ED visits respond nonlinearly to smoke concentrations. Relative to a day with no smoke, total visits increase by 1 to 1.5% in the week following low or moderate smoke days but decline by 6 to 9% following extreme smoke days. Reductions persist for at least a month. Declines at extreme levels are driven by diagnoses not thought to be acutely impacted by pollution, including accidental injuries and several nonurgent symptoms, and declines come disproportionately from less-insured populations. In contrast, health outcomes with the strongest physiological link to short-term air pollution increase dramatically in the week following an extreme smoke day: We estimate that ED visits for asthma, COPD, and cough all increase by 30 to 110%. Data from internet searches, vehicle traffic sensors, and park visits indicate behavioral changes on high smoke days consistent with declines in healthcare utilization. Because low and moderate smoke days vastly outweigh high smoke days, we estimate that smoke was responsible for an average of 3,010 (95% CI: 1,760-4,380) additional ED visits per year 2006 to 2017. Given the increasing intensity of wildfire smoke events, behavioral mediation is likely to play a growing role in determining total smoke impacts.
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Affiliation(s)
- Sam Heft-Neal
- Center on Food Security and the Environment, Stanford University, Stanford, CA94305
| | - Carlos F. Gould
- Doerr School of Sustainability, Stanford University, Stanford, CA94305
| | | | - Mathew V. Kiang
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA94305
| | - Kari C. Nadeau
- Department of Environmental Health, Harvard University, Cambridge, MA02138
| | - Mark Duggan
- Department of Economics, Stanford University, Stanford, CA94305
- Stanford Institute of Economic Policy Research, Stanford University, Stanford, CA94305
- National Bureau of Economic Research, Cambridge, MA02138
| | - Eran Bendavid
- Department of Health Policy, Stanford University, Stanford, CA94305
- Department of Medicine, Stanford University, Stanford, CA94305
| | - Marshall Burke
- Center on Food Security and the Environment, Stanford University, Stanford, CA94305
- Doerr School of Sustainability, Stanford University, Stanford, CA94305
- National Bureau of Economic Research, Cambridge, MA02138
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Ramesh B, Callender R, Zaitchik BF, Jagger M, Swarup S, Gohlke JM. Adverse Health Outcomes Following Hurricane Harvey: A Comparison of Remotely-Sensed and Self-Reported Flood Exposure Estimates. GEOHEALTH 2023; 7:e2022GH000710. [PMID: 37091294 PMCID: PMC10120588 DOI: 10.1029/2022gh000710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/10/2023] [Accepted: 03/21/2023] [Indexed: 05/03/2023]
Abstract
Remotely sensed inundation may help to rapidly identify areas in need of aid during and following floods. Here we evaluate the utility of daily remotely sensed flood inundation measures and estimate their congruence with self-reported home flooding and health outcomes collected via the Texas Flood Registry (TFR) following Hurricane Harvey. Daily flood inundation for 14 days following the landfall of Hurricane Harvey was acquired from FloodScan. Flood exposure, including number of days flooded and flood depth was assigned to geocoded home addresses of TFR respondents (N = 18,920 from 47 counties). Discordance between remotely-sensed flooding and self-reported home flooding was measured. Modified Poisson regression models were implemented to estimate risk ratios (RRs) for adverse health outcomes following flood exposure, controlling for potential individual level confounders. Respondents whose home was in a flooded area based on remotely-sensed data were more likely to report injury (RR = 1.5, 95% CI: 1.27-1.77), concentration problems (1.36, 95% CI: 1.25-1.49), skin rash (1.31, 95% CI: 1.15-1.48), illness (1.29, 95% CI: 1.17-1.43), headaches (1.09, 95% CI: 1.03-1.16), and runny nose (1.07, 95% CI: 1.03-1.11) compared to respondents whose home was not flooded. Effect sizes were larger when exposure was estimated using respondent-reported home flooding. Near-real time remote sensing-based flood products may help to prioritize areas in need of assistance when on the ground measures are not accessible.
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Affiliation(s)
- Balaji Ramesh
- College of Public HealthThe Ohio State UniversityColumbusOHUSA
| | | | - Benjamin F. Zaitchik
- Department of Earth and Planetary SciencesJohns Hopkins UniversityBaltimoreMDUSA
| | | | - Samarth Swarup
- Biocomplexity InstituteUniversity of VirginiaCharlottesvilleVAUSA
| | - Julia M. Gohlke
- Department of Population Health SciencesVirginia TechBlacksburgVAUSA
- Environmental Defense FundWashingtonDCUSA
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Pan K, Gonsoroski E, Uejio CK, Beitsch L, Sherchan SP, Lichtveld MY, Harville EW. Remotely sensed measures of Hurricane Michael damage and adverse perinatal outcomes and access to prenatal care services in the Florida panhandle. Environ Health 2022; 21:118. [PMID: 36447282 PMCID: PMC9707262 DOI: 10.1186/s12940-022-00924-1] [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: 02/24/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Studies of effects of hurricanes on perinatal outcomes often rely on approximate measures of exposure. This study aims to use observed damage from aerial imagery to refine residential building damage estimates, evaluate the population changes post landfall, and assess the associations between the extent of residential building damage and adverse perinatal outcomes and access to prenatal care (PNC) services. METHODS: Vital statistics data from the Florida Department of Health's Office of Vital Statistics were used to align maternal geocoded address data to high-resolution imagery (0.5-foot resolution, true color with red, blue, and green bands) aerial photographs. Machine learning (support vector machines) classified residential roof damage across the study area. Perinatal outcomes were compared with the presence or absence of damage to the mother's home. Log-binomial regression models were used to compare the populations living in and outside of high-risk/damage areas, to assess the population changes after Hurricane Michael, and to estimate the associations between damage after Hurricane Michael and adverse perinatal outcomes/access to PNC services. A semi-parametric linear model was used to model time of first PNC visit and increase in damage. RESULTS We included 8,965 women in analysis. Women with lower education and/or of Black or other non-White race/ethnicity were more likely to live in areas that would see high damage than other groups. Moreover, there was a greater proportion of births delivered by women living in the high-risk/damage area (> 25% damaged parcels after Michael) in the year before Michael than the year after Michael. Lastly, living in the area with relatively high damage increased the risk of having intermediate or inadequate PNC (adjusted Risk Ratio = 1.21, 95% CI: 1.03, 1.43), but not other adverse perinatal outcomes. CONCLUSIONS Aerially observed damage data enable us to evaluate the impact of natural disasters on perinatal outcomes and access to PNC services based on residential building damage immediately surrounding a household. The association between the extent of damage and adverse perinatal outcomes should be further investigated in future studies.
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Affiliation(s)
- Ke Pan
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, Tidewater 1820, 1440 Canal St, New Orleans, LA 70112 USA
| | - Elaina Gonsoroski
- Department of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL 32306 USA
| | - Christopher K. Uejio
- Department of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL 32306 USA
| | - Leslie Beitsch
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, FL 32306 USA
| | | | - Maureen Y. Lichtveld
- Department of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261 USA
| | - Emily W. Harville
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, Tidewater 1820, 1440 Canal St, New Orleans, LA 70112 USA
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Sheehan MC. 2021 Climate and Health Review - Uncharted Territory: Extreme Weather Events and Morbidity. INTERNATIONAL JOURNAL OF HEALTH SERVICES 2022; 52:189-200. [PMID: 35229682 DOI: 10.1177/00207314221082452] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Extreme weather events (EWEs) affected health in every world region during 2021, placing the planet in "uncharted territory." Portraying the human impacts of EWEs is part of a health frame that suggests public knowledge of these risks will spur support for needed policy change. The health frame has gained traction since the Paris COP21 (United Nations Climate Change Conference) and arguably helped to achieve modest progress at the Glasgow COP26. However, reporting rarely covers the full picture of health impacts from EWEs, instead focusing on cost of damages, mortality, and displacement. This review summarizes data for 30 major EWEs of 2021 and, based on the epidemiological literature, discusses morbidity-related exposures for four hazards that marked the year: wildfire smoke; extreme cold and power outages; extreme, precipitation-related flooding; and drought. A very large likely burden of morbidity was found, with particularly widespread exposure to risk of respiratory outcomes (including interactions with COVID-19) and mental illnesses. There is need for a well-disseminated global annual report on EWE morbidity, including affected population estimates and evolving science. In this way, the public health frame may be harnessed to bolster evidence for the broader and promising frame of "urgency and agency" for climate change action.
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Affiliation(s)
- Mary C Sheehan
- Department of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, USA.,Public Policy Center, Pompeu Fabra University, Barcelona, Spain
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10
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Ramesh B, Jagger MA, Zaitchik BF, Kolivras KN, Swarup S, Yang B, Corpuz BG, Gohlke JM. Estimating changes in emergency department visits associated with floods caused by Tropical Storm Imelda using satellite observations and syndromic surveillance. Health Place 2022; 74:102757. [DOI: 10.1016/j.healthplace.2022.102757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 01/10/2022] [Accepted: 01/24/2022] [Indexed: 11/27/2022]
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Abstract
Purpose of Review Climate change is the biggest public health threat of the twenty-first century but its impact on the perinatal period has only recently received attention. This review summarizes recent literature regarding the impacts of climate change and related environmental disasters on pregnancy health and provides recommendations to inform future adaptation and mitigation efforts. Recent Findings Accumulating evidence suggests that the changing climate affects pregnancy health directly via discrete environmental disasters (i.e., wildfire, extreme heat, hurricane, flood, and drought), and indirectly through changes in the natural and social environment. Although studies vary greatly in design, analytic methods, and assessment strategies, they generally converge to suggest that climate-related disasters are associated with increased risk of gestational complication, pregnancy loss, restricted fetal growth, low birthweight, preterm birth, and selected delivery/newborn complications. Window(s) of exposure with the highest sensitivity are not clear, but both acute and chronic exposures appear important. Furthermore, socioeconomically disadvantaged populations may be more vulnerable. Summary Policy, clinical, and research strategies for adaptation and mitigation should be continued, strengthened, and expanded with cross-disciplinary efforts. Top priorities should include (a) reinforcing and expanding policies to further reduce emission, (b) increasing awareness and education resources for healthcare providers and the public, (c) facilitating access to quality population-based data in low-resource areas, and (d) research efforts to better understand mechanisms of effects, identify susceptible populations and windows of exposure, explore interactive impacts of multiple exposures, and develop novel methods to better quantify pregnancy health impacts.
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Hauser N, Conlon KC, Desai A, Kobziar LN. Climate Change and Infections on the Move in North America. Infect Drug Resist 2022; 14:5711-5723. [PMID: 35002262 PMCID: PMC8722568 DOI: 10.2147/idr.s305077] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 11/12/2021] [Indexed: 12/18/2022] Open
Abstract
Climate change is increasingly recognized for its impacts on human health, including how biotic and abiotic factors are driving shifts in infectious disease. Changes in ecological conditions and processes due to temperature and precipitation fluctuations and intensified disturbance regimes are affecting infectious pathogen transmission, habitat, hosts, and the characteristics of pathogens themselves. Understanding the relationships between climate change and infectious diseases can help clinicians broaden the scope of differential diagnoses when interviewing, diagnosing, and treating patients presenting with infections lacking obvious agents or transmission pathways. Here, we highlight key examples of how the mechanisms of climate change affect infectious diseases associated with water, fire, land, insects, and human transmission pathways in the hope of expanding the analytical framework for infectious disease diagnoses. Increased awareness of these relationships can help prepare both clinical physicians and epidemiologists for continued impacts of climate change on infectious disease in the future.
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Affiliation(s)
- Naomi Hauser
- Department of Medicine, Division of Infectious Disease, University of California Davis Health, Sacramento, CA, USA.,Climate Adaptation Research Center, University of California, Davis, CA, USA
| | - Kathryn C Conlon
- Climate Adaptation Research Center, University of California, Davis, CA, USA.,Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, USA.,Department of Veterinary Medicine & Epidemiology, School of Veterinary Medicine, University of California Davis, Davis, CA, USA
| | - Angel Desai
- Department of Medicine, Division of Infectious Disease, University of California Davis Health, Sacramento, CA, USA
| | - Leda N Kobziar
- Department of Natural Resources and Society, University of Idaho, Coeur d'Alene, ID, USA
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13
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Bozick R. The effects of Hurricane Harvey on the physical and mental health of adults in Houston. Health Place 2021; 72:102697. [PMID: 34700063 DOI: 10.1016/j.healthplace.2021.102697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 09/06/2021] [Accepted: 10/08/2021] [Indexed: 10/20/2022]
Abstract
Using data from the 2017-18 Health of Houston Survey, this study estimates the effect of Hurricane Harvey, the second costliest storm in the history of the United States, on the physical and mental health of adults living in Houston, Texas. The survey was fielded to a population-based probability sample whose data collection activities were interrupted and delayed by Hurricane Harvey. This interruption in data collection created a natural experiment that allowed for a comparison of community health before and after the storm. Following the storm, adults in Houston on average experienced an increase of 1.12 days a month of poor physical health and an increase of 1.31 days a month of poor mental health. These effects were most pronounced in parts of the city where structural damage from the storm was most severe.
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Affiliation(s)
- Robert Bozick
- Kinder Institute for Urban Research, Rice University, Kraft Hall, 6100 Main Street, Suite 305, Houston, TX, 77005-1892, USA.
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