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Assessing the impact of COVID-19 interventions on influenza-like illness in Beijing and Hong Kong: an observational and modeling study.
Zhang, Xingxing; Du, Jing; Li, Gang; Chen, Teng; Yang, Jin; Yang, Jiao; Zhang, Ting; Wang, Qing; Yang, Liuyang; Lai, Shengjie; Feng, Luzhao; Yang, Weizhong.
  • Zhang X; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China.
  • Du J; Beijing Centre for Disease Prevention and Control, Beijing, 100013, China.
  • Li G; Beijing Centre for Disease Prevention and Control, Beijing, 100013, China.
  • Chen T; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, 11794-3600, USA.
  • Yang J; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China.
  • Yang J; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China.
  • Zhang T; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China.
  • Wang Q; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China.
  • Yang L; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China.
  • Lai S; Department of Management Science and Information System, Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, 650506, China.
  • Feng L; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK. Shengjie.Lai@soton.ac.uk.
  • Yang W; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100073, China. fengluzhao@cams.cn.
Infect Dis Poverty ; 12(1): 11, 2023 Feb 16.
Article in English | MEDLINE | ID: covidwho-2288654
ABSTRACT

BACKGROUND:

The impact of coronavirus diseases 2019 (COVID-19) related non-pharmaceutical interventions (NPIs) on influenza activity in the presence of other known seasonal driving factors is unclear, especially at the municipal scale. This study aimed to assess the impact of NPIs on outpatient influenza-like illness (ILI) consultations in Beijing and the Hong Kong Special Administrative Region (SAR) of China.

METHODS:

We descriptively analyzed the temporal characteristics of the weekly ILI counts, nine NPI indicators, mean temperature, relative humidity, and absolute humidity from 2011 to 2021. Generalized additive models (GAM) using data in 2011-2019 were established to predict the weekly ILI counts under a counterfactual scenario of no COVID-19 interventions in Beijing and the Hong Kong SAR in 2020-2021, respectively. GAM models were further built to evaluate the potential impact of each individual or combined NPIs on weekly ILI counts in the presence of other seasonal driving factors in the above settings in 2020-2021.

RESULTS:

The weekly ILI counts in Beijing and the Hong Kong SAR fluctuated across years and months in 2011-2019, with an obvious winter-spring seasonality in Beijing. During the 2020-2021 season, the observed weekly ILI counts in both Beijing and the Hong Kong SAR were much lower than those of the past 9 flu seasons, with a 47.5% [95% confidence interval (CI) 42.3%, 52.2%) and 60.0% (95% CI 58.6%, 61.1%) reduction, respectively. The observed numbers for these two cities also accounted for only 40.2% (95% CI 35.4%, 45.3%) and 58.0% (95% CI 54.1%, 61.5%) of the GAM model estimates in the absence of COVID-19 NPIs, respectively. Our study revealed that, "Cancelling public events" and "Restrictions on internal travel" measures played an important role in the reduction of ILI in Beijing, while the "restrictions on international travel" was statistically most associated with ILI reductions in the Hong Kong SAR.

CONCLUSIONS:

Our study suggests that COVID-19 NPIs had been reducing outpatient ILI consultations in the presence of other seasonal driving factors in Beijing and the Hong Kong SAR from 2020 to 2021. In cities with varying local circumstances, some NPIs with appropriate stringency may be tailored to reduce the burden of ILI caused by severe influenza strains or other respiratory infections in future.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Dis Poverty Year: 2023 Document Type: Article Affiliation country: S40249-023-01061-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Dis Poverty Year: 2023 Document Type: Article Affiliation country: S40249-023-01061-8