2019
DOI: 10.1007/s00484-019-01746-6
|View full text |Cite
|
Sign up to set email alerts
|

The effects of temperature on human mortality in a Chinese city: burden of disease calculation, attributable risk exploration, and vulnerability identification

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
3
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 40 publications
2
3
0
Order By: Relevance
“…Our findings are in line with results from previous studies that have analysed heat wave-related mortality [2,3].…”
Section: Discussionsupporting
confidence: 93%
See 1 more Smart Citation
“…Our findings are in line with results from previous studies that have analysed heat wave-related mortality [2,3].…”
Section: Discussionsupporting
confidence: 93%
“…Several epidemiologic studies investigated different subgroups and various heat waves-related vulnerability factors, including individual and contextual factors. The individual factors are age, sex, or socioeconomic factors such as education, ethnicity, income or social isolation [1,[3][4][5]; the environmental factors include urban design, neighbourhood and material conditions such as the availability of air conditioning [1]. These studies have seen the most significant effect in terms of mortality and morbidity of heat waves and elevated temperature on older adults, one of the most vulnerable group.…”
Section: Introductionmentioning
confidence: 99%
“…Our findings are in line with results from previous studies that have analyzed heat wave-related mortality [ 2 , 5 , 9 ]. In several epidemiological studies on heat-related mortality, various subgroups have been identified as the most severely affected and defined as vulnerable [ 1 , 6 , 10 ].…”
Section: Discussionsupporting
confidence: 93%
“…Several epidemiologic studies investigated different subgroups and various heat wave-related vulnerability factors, including individual and contextual factors. The individual factors are age, sex, or socioeconomic factors such as education, ethnicity, income or social isolation [ 1 , 5 , 6 , 7 ]; the environmental factors include urban design, neighborhood, and material conditions such as the availability of air conditioning [ 1 ]. These studies have seen the most significant effect, in terms of mortality, the morbidity of heat waves, and elevated temperature, on older adults, one of the most vulnerable groups.…”
Section: Introductionmentioning
confidence: 99%
“… 14 However, few studies have estimated the exposure-response associations between temperature and YLL. 12 , 15 , 16 , 17 , 18 , 19 , 20 , 21 Moreover, most of these studies employed the daily overall YLL as a health outcome, and did not adjust for the offset effect of population size. As a result, the city- or community-specific association between temperature and YLL cannot be simply combined.…”
Section: Introductionmentioning
confidence: 99%