Evidence map›Paper›PMID 34059675›Full record

ArticleNature communications2021

Impact of COVID-19 outbreaks and interventions on influenza in China and the United States.

Luzhao Feng, Ting Zhang, Qing Wang, Yiran Xie, Zhibin Peng, Jiandong Zheng, Ying Qin, Muli Zhang, Shengjie Lai, Dayan Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 1 pooled it
21.2field-weighted citation impact, top 1% of its field
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

174 citing papers in PubMed, 1 synthesis or guideline pooled it, 286 citations in OpenAlex.

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114 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 2 countries.

Luzhao Feng *Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-5206-5995
Ting Zhang *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.ORCID 0000-0002-9569-9357
Qing Wang *Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Yiran XieNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention/Chinese National Influenza Center, Beijing, China.
Zhibin PengDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiandong ZhengDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-3186-0041
Ying QinDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Muli ZhangDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Shengjie Lai *WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.ORCID 0000-0001-9781-8148
Dayan WangNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention/Chinese National Influenza Center, Beijing, China.
Zijian FengOffice of Director, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhongjie LiDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China. lizj@chinacdc.cn.
George F GaoNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention/Chinese National Influenza Center, Beijing, China. gaofu@chinacdc.cn.
Chinese Center For Disease Control and Prevention · CNNational Institute for Viral Disease Control and Prevention · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) was detected in China during the 2019-2020 seasonal influenza epidemic. Non-pharmaceutical interventions (NPIs) and behavioral changes to mitigate COVID-19 could have affected transmission dynamics of influenza and other respiratory diseases. By comparing 2019-2020 seasonal influenza activity through March 29, 2020 with the 2011-2019 seasons, we found that COVID-19 outbreaks and related NPIs may have reduced influenza in Southern and Northern China and the United States by 79.2% (lower and upper bounds: 48.8%-87.2%), 79.4% (44.9%-87.4%) and 67.2% (11.5%-80.5%). Decreases in influenza virus infection were also associated with the timing of NPIs. Without COVID-19 NPIs, influenza activity in China and the United States would likely have remained high during the 2019-2020 season. Our findings provide evidence that NPIs can partially mitigate seasonal and, potentially, pandemic influenza.

Indexed as

Models, StatisticalPandemicsChinaCOVID-19HumansInfluenza, HumanOrthomyxoviridaePersonal Protective EquipmentPhysical DistancingQuarantineRespiratory Tract InfectionsSARS-CoV-2SeasonsUnited States

Identifiers

PMID34059675
PMCPMC8167168
OpenAlexW3164443714

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.