Approaches for identifying heat-vulnerable populations and locations: A systematic review

Cheng, Wenwen; Li, Dongying; Liu, Zhixin; Brown, Robert D.

doi:10.1016/j.scitotenv.2021.149417

Cited by 53 publications

(38 citation statements)

References 78 publications

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“…Heat-related health literature has demonstrated that, in addition to heat hazard (as measured by ambient/surface temperature), social vulnerability factors explain the sensitivity of a population to heat stress as well as its adaptability and resources for mitigating the negative health impacts. Based on a review of heat vulnerability models/indices (Cheng et al, 2021), we identified the most common social vulnerability indicators included in determining population heat vulnerability (Nayak et al, 2018;Reid et al, 2009): population aged 65 and older, non-White population, Hispanic population, lower-income population, individuals living alone, and populations who do not speak English well. These variables were derived from the American Community Survey 2015-2019 five-year estimates at the ZCTA scale and normalized by the total population.…”

Section: Constructs and Measuresmentioning

confidence: 99%

Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities

Newman

Wilson

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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Place-based structural inequalities can have critical implications for the health of vulnerable populations. Historical urban policies, such as redlining, have contributed to current inequalities in exposure to intra-urban heat. However, it is unknown whether these spatial inequalities are associated with disparities in heat-related health outcomes. The aim of this study is to determine the relationships between historical redlining, intra-urban heat conditions, and heat-related emergency department visits using data from 11 Texas cities. At the zip code level, the proportion of historical redlining was determined, and heat exposure was measured using daytime and nighttime land surface temperature (LST). Heat-related inpatient and outpatient rates were calculated based on emergency department visit data that included ten categories of heat-related diseases between 2016 and 2019. Regression or spatial error/lag models revealed significant associations between higher proportions of redlined areas in the neighborhood and higher LST (Coef. = 0.0122, 95% CI = 0.0039–0.0205). After adjusting for indicators of social vulnerability, neighborhoods with higher proportions of redlining showed significantly elevated heat-related outpatient visit rate (Coef. = 0.0036, 95% CI = 0.0007–0.0066) and inpatient admission rate (Coef. = 0.0018, 95% CI = 0.0001–0.0035). These results highlight the role of historical discriminatory policies on the disparities of heat-related illness and suggest a need for equity-based urban heat planning and management strategies.

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Section: Constructs and Measuresmentioning

confidence: 99%

Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities

Newman

Wilson

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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“…Special regional-specific measures and emphasis should be reasonably adjusted together with the urbanization process according to the characteristics and key factors of local heat vulnerability [123,127]. Planning for the development of urban areas is essential for successful adaptation to local manifestations of climate change, since a significant part of climate risks falls on urban areas [53,62]. Natural solutions such as blue or green strategies should be embedded within the urban structures to help reduce thermal stress [62,205,206].…”

Section: Urban Heat Island Effectmentioning

confidence: 99%

“…Significant and increasing direct and indirect impacts of extreme temperature events on human health -excessive morbidity and mortality [2,8,, negative effects on mental health [8,53,124,[129][130][131][132][133][134][135][136], human and community well-being [1,8,30,76,86,120,126,129,130], and health care systems [57,125,137] -are becoming an increasingly urgent global problem. Much is known about health consequences of heat and cold waves [1,[42][43][44][46][47][48][49]51,55,56,62,[69][70][71][72][73][74]79,81,83,86,[93][94]...…”

Section: Introductionmentioning

confidence: 99%

“…Much is known about health consequences of heat and cold waves [1,[42][43][44][46][47][48][49]51,55,56,62,[69][70][71][72][73][74]79,81,83,86,[93][94][95][96][97][98][99][100][101][107][108][109][110][111][112]118,121,122], wildfires associated with extreme heat events and their health outcomes [78,108], on a global and regional scale. Children, the elderly, and people with cardiopulmonary disease are recognized as the most vulnerable groups of the population to the effects of episodes with extreme temperatures [45,53,57,62,64,73,…”

Section: Introductionmentioning

confidence: 99%

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Health Risks to the Russian Population from Temperature Extremes at the Beginning of the XXI Century

Grigorieva

Revich

2021

Atmosphere

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Climate change and climate-sensitive disasters caused by climatic hazards have a significant and increasing direct and indirect impact on human health. Due to its vast area, complex geographical environment and various climatic conditions, Russia is one of the countries that suffers significantly from frequent climate hazards. This paper provides information about temperature extremities in Russia in the beginning of the 21st century, and their impact on human health. A literature search was conducted using the electronic databases Web of Science, Science Direct, Scopus, and e-Library, focusing on peer-reviewed journal articles published in English and in Russian from 2000 to 2021. The results are summarized in 16 studies, which are divided into location-based groups, including Moscow, Saint Petersburg and other large cities located in various climatic zones: in the Arctic, in Siberia and in the southern regions, in ultra-continental and monsoon climate. Heat waves in cities with a temperate continental climate lead to a significant increase in all-cause mortality than cold waves, compared with cities in other climatic zones. At the same time, in northern cities, in contrast to the southern regions and central Siberia, the influence of cold waves is more pronounced on mortality than heat waves. To adequately protect the population from the effects of temperature waves and to carry out preventive measures, it is necessary to know specific threshold values of air temperature in each city.

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“…First, it is difficult to narrow down the specific risk factors for hot weather mortality when retrospective analyses also include many expected deaths over the EHE period. We generally know that social isolation, economic status, lack of greenspace, age, comorbidities, and some drugs are associated with increased risk, but more refined data would lead to more specific conclusions (Cheng et al, 2021 ). Second, EHE will become more frequent and intense across Canada as the global climate changes.…”

Section: Introductionmentioning

confidence: 99%

Improving attribution of extreme heat deaths through interagency cooperation

Henderson

Lamothe²,

Yao

et al. 2022

Can J Public Health

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Attributing individual deaths to extreme heat events (EHE) in Canada and elsewhere is important for understanding the risk factors, protective interventions, and burden of mortality associated with climate change. However, there is currently no single mechanism for identifying individual deaths due to EHE and different agencies have taken different approaches, including (1) vital statistics coding based on medical certificates of death, (2) probabilistic methods, and (3) enhanced surveillance. The 2018 EHE in Montréal provides an excellent case study to compare EHE deaths identified by these different approaches. There were 353 deaths recorded in the vital statistics data over an 8-day period, of which 102 were potentially attributed to the EHE by at least one approach and 251 were not attributed by any approach. Only nine of the 102 deaths were attributed to the EHE by all three approaches, 23 were attributed by two approaches, and 70 were attributed by only one approach. Given that there were approximately 50 excess deaths during the EHE, it remains unclear exactly which of the total 353 deaths should be attributed to the extreme temperatures. These results highlight the need for a more systematic and cooperative approach to EHE mortality in Canada, which will continue to increase as the climate changes.

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Approaches for identifying heat-vulnerable populations and locations: A systematic review

Cited by 53 publications

References 78 publications

Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities

Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities

Health Risks to the Russian Population from Temperature Extremes at the Beginning of the XXI Century

Improving attribution of extreme heat deaths through interagency cooperation

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