The impact of the COVID-19 preventive measures on influenza transmission: molecular and epidemiological evidence.
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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.
SUBMITTER: Tran LK
PROVIDER: S-EPMC8662913 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC8059824 | biostudies-literature
Project description:BackgroundIt is hypothesized that anxiety and behavioral responses are intense at the beginning of an epidemic. The objective of this study was to investigate anxiety symptoms and use of preventive measures against COVID-19. The study also compared the association between preventive measures and anxiety symptoms during the week immediately preceding the study and those symptoms and measures at the beginning of the outbreak.MethodsA cross-sectional population survey using an online questionnaire commenced on 14 February 2020. The study participants were residents of Taiwan ages 20 to 70 years. The 6-item state version of the State-Trait Anxiety Inventory (STAI-6) was used to assess anxiety symptoms. The questions about preventive measures asked participants about their personal protection, cough etiquette, contact precautions, voluntary quarantine, and prompt reporting. Multivariable logistic regression was used to determine the factors influencing an increase in the preventive measures scores.ResultsOf a total of 3555 completed responses, a total of 52.1% (95% confidence interval [CI] 50.4-53.7) of the respondents reported moderate to severe levels of anxiety symptoms in the past week, whereas 48.8% (95%CI 47.2-50.5) reported moderate to severe anxiety symptoms at the beginning of the outbreak. With a higher score indicating greater anxiety, the median scores for anxiety symptoms in the past week and at the beginning of the outbreak were 46.7 (IQR [interquartile range] 36.7-53.3) and 43.3 (IQR 36.7-53.3), respectively. The median scores for the preventive measures taken in the past week and at the beginning of the outbreak were 26.0 (IQR 21.0-30.0) and 24.0 (IQR 19.0-28.0), respectively, out of a maximum score of 36. In the multivariable analysis, an increased anxiety symptom score from the beginning of the outbreak to the past week (adjusted OR = 7.38, 95%CI 6.28-8.66) was a strongly significant determinant of an increased preventive measures score in the past week compared with the score at the beginning of the outbreak.ConclusionsAnxiety and preventive measures scores were high and increased with the epidemic rate. Higher anxiety was associated with an increased use of preventive measures against COVID-19.
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