The influence of heat and cold waves on mortality in Russian subarctic cities with varying climates

Revich, Boris; Shaposhnikov, Dmitry

doi:10.1007/s00484-022-02375-2

Cited by 15 publications

(16 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These changes pose heightened risks to overall human health in its different aspects (8) [45][46][47][48][49][50][51], including infectious disease, which represent a significant and frequent category regarding mortality and morbidity (13) [52][53][54][55][56][57][58][59][60][61][62][63][64], and mental health conditions (4) [63][64][65][66]. The remaining 31 papers focus on specific consequences of climate change, including extreme weather events like heat waves or cold spells, or cold climate implications in general (12) [67][68][69][70][71][72][73][74][75][76][77][78][79][80]. Additionally, topics such as wild fires and the associated air pollution (4) [81][82][83][84], permafrost degradation (5) [85][86]…”

Section: Resultsmentioning

confidence: 99%

Climate Change and Human Health in the Arctic: A Review

Grigorieva

2024

Climate

View full text Add to dashboard Cite

Over recent decades, the Arctic has begun facing a range of climate-related challenges, from rising temperatures to melting ice caps and permafrost thaw, with significant implications for ecosystems and human well-being. Addressing the health impacts of these issues requires a comprehensive approach, integrating scientific research, community engagement, and policy interventions. This study conducts a literature review to assess the effects of climate change on human health in northern latitudes and to compile adaptation strategies from the Arctic countries. A literature search was performed between January and April 2024 for papers published after 2000, using the electronic databases Web of Science, Pubmed, Science Direct, Scopus, Google Scholar, and eLibrary.RU, with specific questions formulated to direct the search: (i) What are the climate changes? (ii) How does climate change affect human health? (iii) What adaptation measures and policies are required? The key phrases “climate change”, “human health”, “adaptation practices”, and “Arctic” were employed for searching. Ultimately, 56 relevant studies were identified, reviewing health risks such as infectious diseases, mental health issues, and diseases connected with extreme weather events; wildfires and their associated pollution; permafrost degradation; pure water; and food quality. The paper also examines mitigation and adaptation strategies at all levels of governance, emphasizing the need for international cooperation and policy action to combat negative health outcomes, investments in healthcare infrastructure, emergency preparedness, and public health education. Incorporating diverse perspectives, including Indigenous knowledge, Community-Based Adaptation, EcoHealth and One Health approaches, is crucial for effectively addressing the health risks associated with climate change. In conclusion, the paper proposes adaptation strategies to mitigate the health impacts of climate change in the Arctic.

show abstract

Section: Resultsmentioning

confidence: 99%

Climate Change and Human Health in the Arctic: A Review

Grigorieva

2024

Climate

View full text Add to dashboard Cite

show abstract

“…This indicates that although the immediate impact of cold spells is consistent across different regions, the long-term cumulative effects may vary due to regional characteristics. In comparison to cities located at higher latitudes and experiencing lower average temperatures, like Murmansk (RR: 1.12,95%CI: 1.07, 1.17) [ 33 ], Xining had a greater risk of non-accidental death caused by cold spells. This may reflect the regional differences in the impact of cold spells due to geographic and climatic conditions, indicating that cold spells also have a significant impact on the health of residents in cities with long cold periods.…”

Section: Discussionmentioning

confidence: 99%

Health impacts of a cold wave and its economic loss assessment in China’s high-altitude city, Xining

Ning,

He,

Liao

et al. 2024

Arch Public Health

View full text Add to dashboard Cite

Objective Amidst climate change, extensive research has centered on the health impacts of heatwaves, yet the consequences of cold spells, particularly in cooler, higher-altitude regions, remain under-explored. Methods Analyzing climatic data and non-accidental mortality in Xining, China’s second-highest provincial capital, from 2016 to 2020, this study defines cold spells as daily mean temperatures below the 10th, 7.5th, or 5th percentiles for 2–4 consecutive days. A time-stratified case-crossover approach and distributional lag nonlinear modeling were used to assess the link between cold spells and mortality, calculating attributable fractions (AFs) and numbers (ANs) of deaths. The study also examined the impact of cold spells over different periods and analyzed the value of a statistical life (VSL) loss in 2018, a year with frequent cold spells. Stratified analyses by sex, age, and education level were conducted. Results A significant association was found between cold spells and non-accidental mortality, with a relative risk of 1.548 (95% CI: 1.300, 1.845). The AF was 33.48%, with an AN of 9,196 deaths during the study’s cold period. A declining trend in mortality risk was observed from 2019–2020. The 2018 VSL was approximately 2.875 billion CNY, about 1.75% of Xining’s GDP. Higher risks were noted among males, individuals aged ≥ 65, and those with lower education levels. Conclusion The findings underscore the vulnerability and economic losses of high-altitude cities to cold spells. Implementing interventions such as improved heating, educational programs, and community support is vital for mitigating these adverse health effects.

show abstract

“…Weather- or climate-sensitive diseases developing from heat or cold stress threaten human health worldwide 1 – 3 . Serious increases in temperature owing to global warming and urban heat islands threaten human health during the summer season 4 – 6 .…”

Section: Introductionmentioning

confidence: 99%

Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan

Ohashi,

Ihara,

Oka

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Climate-sensitive diseases developing from heat or cold stress threaten human health. Therefore, the future health risk induced by climate change and the aging of society need to be assessed. We developed a prediction model for mortality due to cardiovascular diseases such as myocardial infarction and cerebral infarction, which are weather or climate sensitive, using machine learning (ML) techniques. We evaluated the daily mortality of ischaemic heart disease (IHD) and cerebrovascular disease (CEV) in Tokyo and Osaka City, Japan, during summer. The significance of delayed effects of daily maximum temperature and other weather elements on mortality was previously demonstrated using a distributed lag nonlinear model. We conducted ML by a LightGBM algorithm that included specified lag days, with several temperature- and air pressure-related elements, to assess the respective mortality risks for IHD and CEV, based on training and test data for summer 2010–2019. These models were used to evaluate the effect of climate change on the risk for IHD mortality in Tokyo by applying transfer learning (TL). ML with TL predicted that the daily IHD mortality risk in Tokyo would averagely increase by 29% and 35% at the 95th and 99th percentiles, respectively, using a high-level warming-climate scenario in 2045–2055, compared to the risk simulated using ML in 2009–2019.

show abstract

The influence of heat and cold waves on mortality in Russian subarctic cities with varying climates

Cited by 15 publications

References 75 publications

Climate Change and Human Health in the Arctic: A Review

Climate Change and Human Health in the Arctic: A Review

Health impacts of a cold wave and its economic loss assessment in China’s high-altitude city, Xining

Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan

Contact Info

Product

Resources

About