ArticleScientific reports2019
Spatiotemporal Analysis of Influenza in China, 2005-2018.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC infectious diseases · 2022Pooled it
- A spatio-temporal causal network for multi-scale analysis of infectious respiratory diseases transmission.Infectious Disease Modelling · 2026Article
- Modeling the dynamics of seasonal influenza in response to meteorological conditions and antigenic variation: a simulation study.BMC public health · 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
- Pan-continental spillover risk: integrated spatiotemporal, transmissibility and surveillance analysis of avian influenza a(H5N1) in Africa.Frontiers in epidemiology · 2026Article
- Spatio-temporal patterns and associated factors of influenza-like illness outbreaks in Chinese mainland: a Bayesian modeling study.BMC public health · 2025Article
- Comparative analysis of epidemiological and Spatiotemporal patterns in seasonal influenza and COVID-19 outbreaks.Scientific reports · 2025Article
- Spatio-temporal modelling of extreme low birth rates in U.S. counties.BMC public health · 2025Article
- Spatiotemporal patterns of influenza incidence changes in mainland China, 2004-2020.Frontiers in public health · 2025Article
- Spatial-temporal evolution patterns of influenza incidence in plateau regions from 2009 to 2023.Frontiers in public health · 2025Article
- Epidemic patterns of the different influenza virus types and subtypes/lineages for 10 years in Chongqing, China, 2010-2019.Human vaccines & immunotherapeutics · 2024Article
- Coverage of influenza vaccination and influencing factors among healthcare workers in Shandong Province, China, 2021-2022.Human vaccines & immunotherapeutics · 2024Article
- 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
- A Novel Bayesian Spatio-Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk.Statistics in medicine · 2024Article
- Spatial-temporal evolution patterns of influenza incidence in Xinjiang Prefecture from 2014 to 2023 based on GIS.Scientific reports · 2024Article
- Heterogeneity of influenza infection at precise scale in Yinchuan, Northwest China, 2012-2022: evidence from Joinpoint regression and spatiotemporal analysis.Scientific reports · 2024Article
- Epidemiological features of seasonal influenza transmission among 11 climate zones in Chinese Mainland.Infectious diseases of poverty · 2024Article
- Influenza vaccine hesitancy and influencing factors among university students in China: a multicenter cross-sectional survey.Annals of medicine · 2023Article
- Estimation of influenza incidence and analysis of epidemic characteristics from 2009 to 2022 in Zhejiang Province, China.Frontiers in public health · 2023Article
- Impact of PMEnvironmental science and pollution research international · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza is a major cause of morbidity and mortality worldwide, as well as in China. Knowledge of the spatial and temporal characteristics of influenza is important in evaluating and developing disease control programs. This study aims to describe an accurate spatiotemporal pattern of influenza at the prefecture level and explore the risk factors associated with influenza incidence risk in mainland China from 2005 to 2018. The incidence data of influenza were obtained from the Chinese Notifiable Infectious Disease Reporting System (CNIDRS). The Besag York Mollié (BYM) model was extended to include temporal and space-time interaction terms. The parameters for this extended Bayesian spatiotemporal model were estimated through integrated nested Laplace approximations (INLA) using the package R-INLA in R. A total of 702,226 influenza cases were reported in mainland China in CNIDRS from 2005-2018. The yearly reported incidence rate of influenza increased 15.6 times over the study period, from 3.51 in 2005 to 55.09 in 2008 per 100,000 populations. The temporal term in the spatiotemporal model showed that much of the increase occurred during the last 3 years of the study period. The risk factor analysis showed that the decreased number of influenza vaccines for sale, the new update of the influenza surveillance protocol, the increase in the rate of influenza A (H1N1)pdm09 among all processed specimens from influenza-like illness (ILI) patients, and the increase in the latitude and longitude of geographic location were associated with an increase in the influenza incidence risk. After the adjusting for fixed covariate effects and time random effects, the map of the spatial structured term shows that high-risk areas clustered in the central part of China and the lowest-risk areas in the east and west. Large space-time variations in influenza have been found since 2009. In conclusion, an increasing trend of influenza was observed from 2005 to 2018. The insufficient flu vaccine supplements, the newly emerging influenza A (H1N1)pdm09 and expansion of influenza surveillance efforts might be the major causes of the dramatic changes in outbreak and spatio-temporal epidemic patterns. Clusters of prefectures with high relative risks of influenza were identified in the central part of China. Future research with more risk factors at both national and local levels is necessary to explain the changing spatiotemporal patterns of influenza in China.
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