Evidence map›Paper›PMID 36721137›Full record

ArticleBMC public health2023

Trends in respiratory diseases before and after the COVID-19 pandemic in China from 2010 to 2021.

Zhongbao Zuo, Chunli Yang, Fei Ye, Miaochan Wang, Jing Wu, Chengjiang Tao, Yunhao Xun, Zhaoyi Li, Shourong Liu, Jinsong Huang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

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  18. Application of an ARFIMA Model to Estimate Hepatitis C Epidemics in Henan, China.The American journal of tropical medicine and hygiene · 2024
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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

11 authors at 1 institution in 1 country.

Zhongbao Zuo *Department of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, Zhejiang, 310023, China.
Chunli Yang *Department of Clinical Laboratory, The 903rd Hospital of PLA, Zhejiang, 310013, China.
Fei YeHealth Examination Center, Hangzhou Xixi Hospital, Zhejiang, 310023, China.
Miaochan WangDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, Zhejiang, 310023, China.
Jing WuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, Zhejiang, 310023, China.
Chengjiang TaoDepartment of Obstetrics and Gynecology, Hangzhou Xixi Hospital, Zhejiang, 310023, China.
Yunhao XunDepartment of Hepatology, Hangzhou Xixi Hospital, Zhejiang, 310023, China.
Zhaoyi LiScience and Education Department, Hangzhou Xixi Hospital, Zhejiang, 310023, China.
Shourong LiuDepartment of Hepatology, Hangzhou Xixi Hospital, Zhejiang, 310023, China.
Jinsong HuangDepartment of Hepatology, Hangzhou Xixi Hospital, Zhejiang, 310023, China.
Aifang XuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, 2 Hengbu Road, Xihu District, Zhejiang, 310023, China. 13616500869@163.com.
Hangzhou Xixi hospital · CN

Funding

General projects of Hangzhou health science and technology plan in 2020 A20200157Hangzhou Science and Technology Bureau 2021WJCY185Hangzhou Science and technology development plan 202004A20
6 · The paper itself

Abstract

backgroundThe ongoing benefits of coronavirus disease 2019 (COVID-19) nonpharmaceutical interventions (NPIs) for respiratory infectious diseases in China are still unclear. We aimed to explore the changes in seven respiratory infectious diseases before, during, and after COVID-19 in China from 2010 to 2021.

methodsThe monthly case numbers of seven respiratory infectious diseases were extracted to construct autoregressive integrated moving average (ARIMA) models. Eight indicators of NPIs were chosen from the COVID-19 Government Response Tracker system. The monthly case numbers of the respiratory diseases and the eight indicators were used to establish the Multivariable generalized linear model (GLM) to calculate the incidence rate ratios (IRRs).

resultsCompared with the year 2019, the percentage changes in 2020 and 2021 were all below 100% ranging from 3.81 to 84.71%. Pertussis and Scarlet fever started to increase in 2021 compared with 2020, with a percentage change of 183.46 and 171.49%. The ARIMA model showed a good fit, and the predicted data fitted well with the actual data from 2010 to 2019, but the predicted data was bigger than the actual number in 2020 and 2021. All eight indicators could negatively affect the incidence of respiratory diseases. The seven respiratory diseases were significantly reduced during the COVID-19 pandemic in 2020 and 2021 compared with 2019, with significant estimated IRRs ranging from 0.06 to 0.85. In the GLM using data for the year 2020 and 2021, the IRRs were not significant after adjusting for the eight indicators in multivariate analysis.

conclusionOur study demonstrated the incidence of the seven respiratory diseases decreased rapidly during the COVID-19 pandemic in 2020 and 2021. At the end of 2021, we did see a rising trend for the seven respiratory diseases compared to the year 2020 when the NPIs relaxed in China, but the rising trend was not significant after adjusting for the NPIs indicators. Our study showed that NPIs have an effect on respiratory diseases, but Relaxation of NPIs might lead to the resurgence of respiratory diseases.

Indexed as

COVID-19Respiration DisordersRespiratory Tract DiseasesChinaHumansPandemicsCOVID-19EpidemiologyNonpharmaceutical interventionsRespiratory diseasesSeasonal influenza

Identifiers

PMID36721137
PMCPMC9889952
OpenAlexW4318676919

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.