Changes in Influenza Activities Impacted by NPI Based on 4-Year Surveillance in China: Epidemic Patterns and Trends.

Circular Distribution Concentration Ratio Influenza Non-pharmaceutical Intervention (NPI) Seasonal Index Seasonal characteristics

Journal

Journal of epidemiology and global health
ISSN: 2210-6014
Titre abrégé: J Epidemiol Glob Health
Pays: Switzerland
ID NLM: 101592084

Informations de publication

Date de publication:
09 2023
Historique:
received: 11 04 2023
accepted: 14 06 2023
medline: 31 8 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: ppublish

Résumé

Since the Non-pharmaceutical Intervention (NPI) by COVID-19 emerged, influenza activity has been somewhat altered. The aim of this study was to explore changes in influenza activities in the context of COVID-19 based on the sentinel hospitals/units in Guangdong, southern China. The surveillance data in influenza-like illness (ILI) were collected from 21 cities in Guangdong between September 2017 and August 2021, while 43 hospitals/units were selected to analyze the predominant types of influenza, population characteristics, and seasonal features by three methods (the concentration ratio, the seasonal index, and the circulation distribution), based on a descriptive epidemiological approach. During the four consecutive influenza seasons, a total of 157345 ILIs were tested, of which 9.05% were positive for influenza virus (n = 14238), with the highest positive rates for both IAV (13.20%) and IBV (5.41%) in the 2018-2019 season. After the emergence of COVID-19, influenza cases decreased near to zero from March 2020 till March 2021, and the dominant type of influenza virus changed from IAV to IBV. The highest positive rate of influenza existed in the age-group of 5 ~  < 15 years in each season for IAV (P < 0.001), which was consistent with that for IBV (P < 0.001). The highest annual positive rates for IBV emerged in eastern Guangdong, while the highest annual positive rates of IAV in different seasons existed in different regions. Furthermore, compared with the epidemic period (ranged from December to June) during 2017-2019, the period ended three months early (March 2020) in 2019-2020, and started by five months behind (April 2021) during 2020-2021. The highest positive rates in 5 ~  < 15 age-group suggested the susceptible in this age-group mostly had infected with infected B/Victoria. Influenced by the emergence of COVID-19 and NPI responses, the epidemic patterns and trends of influenza activities have changed in Guangdong, 2017-2021.

Sections du résumé

BACKGROUND
Since the Non-pharmaceutical Intervention (NPI) by COVID-19 emerged, influenza activity has been somewhat altered.
OBJECTIVES
The aim of this study was to explore changes in influenza activities in the context of COVID-19 based on the sentinel hospitals/units in Guangdong, southern China.
METHODS
The surveillance data in influenza-like illness (ILI) were collected from 21 cities in Guangdong between September 2017 and August 2021, while 43 hospitals/units were selected to analyze the predominant types of influenza, population characteristics, and seasonal features by three methods (the concentration ratio, the seasonal index, and the circulation distribution), based on a descriptive epidemiological approach.
RESULTS
During the four consecutive influenza seasons, a total of 157345 ILIs were tested, of which 9.05% were positive for influenza virus (n = 14238), with the highest positive rates for both IAV (13.20%) and IBV (5.41%) in the 2018-2019 season. After the emergence of COVID-19, influenza cases decreased near to zero from March 2020 till March 2021, and the dominant type of influenza virus changed from IAV to IBV. The highest positive rate of influenza existed in the age-group of 5 ~  < 15 years in each season for IAV (P < 0.001), which was consistent with that for IBV (P < 0.001). The highest annual positive rates for IBV emerged in eastern Guangdong, while the highest annual positive rates of IAV in different seasons existed in different regions. Furthermore, compared with the epidemic period (ranged from December to June) during 2017-2019, the period ended three months early (March 2020) in 2019-2020, and started by five months behind (April 2021) during 2020-2021.
CONCLUSION
The highest positive rates in 5 ~  < 15 age-group suggested the susceptible in this age-group mostly had infected with infected B/Victoria. Influenced by the emergence of COVID-19 and NPI responses, the epidemic patterns and trends of influenza activities have changed in Guangdong, 2017-2021.

Identifiants

pubmed: 37535238
doi: 10.1007/s44197-023-00134-z
pii: 10.1007/s44197-023-00134-z
pmc: PMC10468473
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

539-546

Informations de copyright

© 2023. The Author(s).

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Auteurs

Jing Tan (J)

a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China.
School of Public Health, Southern Medical University, Guangzhou, 510515, China.

Lijun Liang (L)

a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China.

Ping Huang (P)

a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China. pphuang1@163.com.
School of Public Health, Southern Medical University, Guangzhou, 510515, China. pphuang1@163.com.

Abrar A Ibrahim (AA)

a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China.
School of Public Health, Southern Medical University, Guangzhou, 510515, China.

Zhongzhou Huang (Z)

School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.

Wei Zhao (W)

School of Public Health, Southern Medical University, Guangzhou, 510515, China.

Lirong Zou (L)

a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China.

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