Evidence map›Paper›PMID 34206915›Full record

ArticleInternational journal of environmental research and public health2021

Assessing the Country-Level Excess All-Cause Mortality and the Impacts of Air Pollution and Human Activity during the COVID-19 Epidemic.

Yuan Meng, Man Sing Wong, Hanfa Xing, Mei-Po Kwan, Rui Zhu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Yuan MengDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong.ORCID 0000-0002-0963-0581
Man Sing WongDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong.
Hanfa XingSchool of Geography, South China Normal University, Guangzhou 510000, China.
Mei-Po KwanDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong.ORCID 0000-0001-8602-9258
Rui ZhuDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong.ORCID 0000-0002-9965-0948

Funding

General Research Fund 15602619National Natural Science Foundation of China 41971406Research Institute for Sustainable Urban Development, Hong Kong Polytechnic University 1-BBWD
6 · The paper itself

Abstract

The impact of Coronavirus Disease 2019 (COVID-19) on cause-specific mortality has been investigated on a global scale. However, less is known about the excess all-cause mortality and air pollution-human activity responses. This study estimated the weekly excess all-cause mortality during COVID-19 and evaluated the impacts of air pollution and human activities on mortality variations during the 10th to 52nd weeks of 2020 among sixteen countries. A SARIMA model was adopted to estimate the mortality benchmark based on short-term mortality during 2015-2019 and calculate excess mortality. A quasi-likelihood Poisson-based GAM model was further applied for air pollution/human activity response evaluation, namely ground-level NO

Indexed as

Air PollutantsAir PollutionCOVID-19EpidemicsEnvironmental ExposureHuman ActivitiesHumansMortalityParticulate MatterSARS-CoV-2Air PollutantsParticulate Matterair pollutionCOVID-19 mortalityexcess mortalityhuman activitiesNO2PM2.5

Identifiers

PMID34206915
PMCPMC8295924

What OpenQuestion holds

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LicenceCC BY
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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.