Evidence map›Paper›PMID 37535238›Full record

ArticleJournal of epidemiology and global health2023

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

Jing Tan, Lijun Liang, Ping Huang, Abrar A Ibrahim, Zhongzhou Huang, Wei Zhao, Lirong Zou

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology and global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jing Tana. 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.
Lijun Lianga. 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 Huanga. 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.
Abrar A Ibrahima. 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.
Zhongzhou HuangSchool of Public Health, Southern Medical University, Guangzhou, 510515, China.
Wei ZhaoSchool of Public Health, Southern Medical University, Guangzhou, 510515, China.
Lirong Zoua. 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.
Guangzhou Center for Disease Control and Prevention · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the Non-pharmaceutical Intervention (NPI) by COVID-19 emerged, influenza activity has been somewhat altered.

objectivesThe 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.

methodsThe 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.

resultsDuring 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.

conclusionThe 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.

Indexed as

COVID-19EpidemicsInfluenza, HumanAdolescentChinaCitiesHumansSeasonsSentinel SurveillanceCircular DistributionConcentration RatioInfluenzaNon-pharmaceutical Intervention (NPI)Seasonal characteristicsSeasonal Index

Identifiers

PMID37535238
PMCPMC10468473
OpenAlexW4385514190

What OpenQuestion holds

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Registered trials

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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.