Evidence map›Paper›PMID 32079832›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Community-wide Mortality Rates in Beijing, China, During the July 2012 Flood Compared with Unexposed Periods.

Meilin Yan, Ander Wilson, Jennifer L Peel, Sheryl Magzamen, Qinghua Sun, Tiantian Li, G Brooke Anderson

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. Synergetic roadmap of carbon neutrality and clean air for China.Environmental science and ecotechnology · 2023
    Review
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  9. 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

7 authors.

Meilin YanFrom the Department of Environmental & Radiological Health Sciences, Colorado State University.
Ander WilsonDepartment of Statistics, Colorado State University.
Jennifer L PeelFrom the Department of Environmental & Radiological Health Sciences, Colorado State University.
Sheryl MagzamenFrom the Department of Environmental & Radiological Health Sciences, Colorado State University.
Qinghua SunNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention.
Tiantian LiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention.
G Brooke AndersonFrom the Department of Environmental & Radiological Health Sciences, Colorado State University.

Funding

Investigating Health Effects of Climate-Related Disasters in the United StatesR00ES022631 · NIEHS · COLORADO STATE UNIVERSITY · PI ANDERSON, BROOKE · 2015 to 2017
$731k
NIEHS NIH HHS R00 ES022631
6 · The paper itself

Abstract

backgroundOn 21-22 July 2012, Beijing, China, suffered its heaviest rainfall in 60 years. Two studies have estimated the fatality toll of this disaster using a traditional surveillance approach. However, traditional surveillance can miss disaster-related deaths, including a substantial number of deaths from natural causes triggered by disaster exposure. Here, we investigated community-wide mortality risk during this flood compared with rates in unexposed reference periods.

methodsWe compared community-wide mortality rates on the peak flood day and the four following days to seasonally matched nonflood days in previous years (2008-2011), controlling for potential confounders, to estimate the relative risks (RRs) of daily mortality among Beijing residents associated with this flood.

resultsOn 21 July 2012, the flood-associated RRs were 1.34 (95% confidence interval = 1.11, 1.61) for all-cause, 1.37 (1.01, 1.85) for circulatory, and 4.40 (2.98, 6.51) for accidental mortality, compared with unexposed periods. We observed no evidence of increased risk of respiratory mortality. For the flood period of 21-22 July 2012, we estimated a total of 79 excess deaths among Beijing residents; by contrast, only 34 deaths were reported among Beijing residents in a study using a traditional surveillance approach.

conclusionsTo our knowledge, this is the first study analyzing community-wide changes in mortality rates during the 2012 flood in Beijing and one of the first to do so for any major flood worldwide. This study offers critical evidence on flood-related health impacts, as urban flooding is expected to become more frequent and severe in China.

Indexed as

DisastersFloodsMortalityBeijingHumans

Identifiers

PMID32079832
PMCPMC7138731

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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.