Evidence map›Paper›PMID 34902583›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

The impact of the COVID-19 preventive measures on influenza transmission: molecular and epidemiological evidence.

Leon King Tran, Dai-Wei Huang, Nien-Kung Li, Lucy M Li, Julia A Palacios, Hsiao-Han Chang

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Leon King TranDepartment of Statistics, Stanford University, CA, USA.
Dai-Wei HuangCollege of Life Science, National Tsing Hua University, Hsinchu, Taiwan.
Nien-Kung LiCollege of Life Science, National Tsing Hua University, Hsinchu, Taiwan.
Lucy M LiChan Zuckerberg Biohub, San Francisco, CA, USA; The Public Health Company, Goleta, CA, USA. Electronic address: lucymqli@gmail.com.
Julia A PalaciosDepartment of Statistics, Stanford University, CA, USA; Department of Biomedical Data Sciences, Stanford School of Medicine, CA, USA. Electronic address: juliapr@stanford.edu.
Hsiao-Han ChangDepartment of Life Science & Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan. Electronic address: hhchang@life.nthu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe quantify the impact of COVID-19-related control measures on the spread of human influenza virus H1N1 and H3N2.

methodsWe analyzed case numbers to estimate the end of the 2019-2020 influenza season and compared it with the median of the previous 9 seasons. In addition, we used influenza molecular data to compare within-region and between-region genetic diversity and effective population size from 2019 to 2020. Finally, we analyzed personal behavior and policy stringency data for each region.

resultsThe 2019-2020 influenza season ended earlier than the median of the previous 9 seasons in all regions. For H1N1 and H3N2, there was an increase in between-region genetic diversity in most pairs of regions between 2019 and 2020. There was a decrease in within-region genetic diversity for 12 of 14 regions for H1N1 and 9 of 12 regions for H3N2. There was a decrease in effective population size for 10 of 13 regions for H1N1 and 3 of 7 regions for H3N2.

conclusionsWe found consistent evidence of a decrease in influenza incidence after the introduction of preventive measures due to COVID-19 emergence.

Indexed as

COVID-19Influenza A Virus, H1N1 SubtypeInfluenza, HumanHumansInfluenza A Virus, H3N2 SubtypeSARS-CoV-2SeasonscaseCOVID-19effective population sizeepidemiologygenetic diversityinfluenza

Identifiers

PMID34902583
PMCPMC8662913

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Registered trials

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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.