ArticleBMC infectious diseases2023
Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 18 citations in OpenAlex.
- Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study.JMIR medical informatics · 2026Article
- Spatiotemporal instability of influenza seasonality during viral co-circulation.NPJ systems biology and applications · 2026Article
- Long-term trends of influenza-like illness and severe acute respiratory infection across pandemic phases: an interrupted time-series study.BMC public health · 2026Article
- Impact of nonpharmaceutical interventions on infectious disease patterns in Yunnan Province across the COVID-19 pandemic phases.BMC infectious diseases · 2026Article
- Suppression and resurgence: the evolving epidemiology of seasonal influenza from 2015 to 2024 in a core urban district of Beijing, China.Frontiers in public health · 2026Article
- Long-term retrospective analysis of seasonal influenza epidemic patterns in Southeastern Province of China: based on case reports, syndromic, and pathogenic surveillance.BMC infectious diseases · 2025Article
- Impact of non-pharmaceutical interventions of the COVID-19 pandemic on the trend of seasonal influenza in Kingdom of Saudi Arabia.BMC infectious diseases · 2025Observational
- ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis.Journal of medical Internet research · 2025Article
- Assessment of the impacts of public health and social measures on influenza activity during the COVID-19 pandemic from 2020 to 2022 in Beijing, China: a modelling study.BMC infectious diseases · 2025Article
- Understanding influenza-like illness dynamics in Jiangsu, China: impacts of COVID-19 control measures and meteorological factors on the population health during 2018-2023.BMJ public health · 2025Article
- Exploration of the impact of air pollutants on the influenza epidemic after the emergence of COVID-19: based on Jiangsu Province, China (2020-2024).Frontiers in public health · 2025Article
- Global Trends in Influenza and Meningitis Research: A Comprehensive Bibliometric and Visualization Analysis (1980-2024).Journal of multidisciplinary healthcare · 2025Article
- Social support and risk perception of influenza among Chengdu residents: A cross-sectional study during post-pandemic recovery.PloS one · 2025Article
- The impact of the COVID-19 pandemic and the free vaccination policy on seasonal influenza vaccination uptake among older adults in Ningbo, Eastern China.Human vaccines & immunotherapeutics · 2024Article
- Impact of the COVID-19 Pandemic on Influenza Hospital Admissions and Deaths in Wales: Descriptive National Time Series Analysis.JMIR public health and surveillance · 2024Article
- Correction: Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China.BMC infectious diseases · 2024Article
- An Intense Out-of-Season Rebound of Influenza Activity After the Relaxation of Coronavirus Disease 2019 Restrictions in Beijing, China.Open forum infectious diseases · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
18 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundInfluenza is a common illness for its high rates of morbidity and transmission. The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to manage its dissemination could affect the transmission of influenza.
methodsA retrospective analysis, between 2018 and 2023, was conducted to examine the incidence of influenza virus types A and B among patients in sentinel cities located in North or South China as well as in Wuhan City. For validations, data on the total count of influenza patients from 2018 to 2023 were collected at the Central Hospital of Wuhan, which is not included in the sentinel hospital network. Time series methods were utilized to examine seasonal patterns and to forecast future influenza trends.
resultsNorthern and southern cities in China had earlier outbreaks during the NPIs period by about 8 weeks compared to the 2018-2019. The implementation of NPIs significantly reduced the influenza-like illness (ILI) rate and infection durations. Influenza B Victoria and H3N2 were the first circulating strains detected after the relaxation of NPIs, followed by H1N1 across mainland China. The SARIMA model predicted synchronized H1N1 outbreak cycles in North and South China, with H3N2 expected to occur in the summer in southern cities and in the winter in northern cities over the next 3 years. The ILI burden is expected to rise in both North and South China over the next 3 years, with higher ILI% levels in southern cities throughout the year, especially in winter, and in northern cities mainly during winter. In Wuhan City and the Central Hospital of Wuhan, influenza levels are projected to peak in the winter of 2024, with 2 smaller peaks expected during the summer of 2023.
conclusionsIn this study, we report the impact of NPIs on future influenza trends in mainland China. We recommend that local governments encourage vaccination during the transition period between summer and winter to mitigate economic losses and mortality associated with influenza.
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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.