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The impact of the COVID-19 preventive measures on influenza transmission: molecular and epidemiological evidence.
Tran, Leon King; Huang, Dai-Wei; Li, Nien-Kung; Li, Lucy M; Palacios, Julia A; Chang, Hsiao-Han.
  • Tran LK; Department of Statistics, Stanford University, CA, USA.
  • Huang DW; College of Life Science, National Tsing Hua University, Hsinchu, Taiwan.
  • Li NK; College of Life Science, National Tsing Hua University, Hsinchu, Taiwan.
  • Li LM; Chan Zuckerberg Biohub, San Francisco, CA, USA; The Public Health Company, Goleta, CA, USA. Electronic address: lucymqli@gmail.com.
  • Palacios JA; Department of Statistics, Stanford University, CA, USA; Department of Biomedical Data Sciences, Stanford School of Medicine, CA, USA. Electronic address: juliapr@stanford.edu.
  • Chang HH; Department of Life Science & Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan. Electronic address: hhchang@life.nthu.edu.tw.
Int J Infect Dis ; 116: 11-13, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1559405
ABSTRACT

OBJECTIVE:

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

METHODS:

We 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.

RESULTS:

The 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.

CONCLUSIONS:

We found consistent evidence of a decrease in influenza incidence after the introduction of preventive measures due to COVID-19 emergence.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / Influenza A Virus, H1N1 Subtype / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: J.ijid.2021.12.323

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / Influenza A Virus, H1N1 Subtype / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: J.ijid.2021.12.323