Evidence map›Paper›PMID 32350804›Full record

ArticleEnvironmental geochemistry and health2020

Mitigating heat-related mortality risk in Shanghai, China: system dynamics modeling simulations.

Xiaochen Liu, Zhan Tian, Laixiang Sun, Junguo Liu, Wei Wu, Hanqing Xu, Landong Sun, Chunfang Wang

Abstract read
In one paragraph

Article in Environmental geochemistry and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaochen LiuShanghai Climate Center, Shanghai Meteorological Services, Shanghai, 200030, China.
Zhan TianSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. tianz@sustech.edu.cn.ORCID http://orcid.org/0000-0002-4520-0036
Laixiang SunDepartment of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA. lsun123@umd.edu.ORCID http://orcid.org/0000-0002-7784-7942
Junguo LiuSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Wei WuShanghai Climate Center, Shanghai Meteorological Services, Shanghai, 200030, China.
Hanqing XuKey Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China.
Landong SunShanghai Climate Center, Shanghai Meteorological Services, Shanghai, 200030, China.
Chunfang WangShanghai Center of Disease Prevention and Control, Shanghai, 200336, China.

Funding

Engineering and Physical Sciences Research Council of UK R034214/1Met Office CSSP Academic Partnership (GB) AJYG-643BJQNational Key R&D Program of China 2016YFC0502702National Natural Science Foundation of China 41671113National Natural Science Foundation of China 51761135024Nederlandse Organisatie voor Wetenschappelijk Onderzoek ALWSD.2016.007
6 · The paper itself

Abstract

Numerous studies in epidemiology, meteorology, and climate change research have demonstrated a significant association between abnormal ambient temperature and mortality. However, there is a shortage of research attention to a systematic assessment of potential mitigation measures which could effectively reduce the heat-related morbidity and mortality risks. This study first illustrates a conceptualization of a systems analysis version of urban framework for climate service (UFCS). It then constructs a system dynamics (SD) model for the UFCS and employs this model to quantify the impacts of heat waves on public health system in Shanghai and to evaluate the performances of two mitigation measures in the context of a real heat wave event in July 2013 in the city. Simulation results show that in comparison with the baseline without mitigation measures, if the hospital system could prepare 20% of beds available for emergency response to heat waves once receiving the warning in advance, the number of daily deaths could be reduced by 40-60 (15.8-19.5%) on the 2 days of day 7 and day 8; if increasing the minimum living allowance of 790 RMB/month in 2013 by 20%, the number of daily deaths could be reduced by 50-70 (17.7-21.9%) on the 2 days of day 8 and day 12. This tool can help policy makers systematically evaluate adaptation and mitigation options based on performance assessment, thus strengthening urban resilience to changing climate.

Indexed as

Climate ChangeMortalityChinaCitiesExtreme HeatHot TemperatureHumansModels, TheoreticalPublic HealthRiskSystems AnalysisHeat wavesMortalityPublic healthSystem dynamics model

Identifiers

PMID32350804
PMCPMC7518989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.