Evidence map›Paper›PMID 34996765›Full record

ArticleBMJ global health2022

The impact of the COVID-19 pandemic on the incidence and mortality of zoonotic diseases in China.

Chenjin Ma, Xiangyu Guo, Lan Wang, Wang Li, Shelan Liu, Feng Lin, Wangli Xu

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  11. Epidemiological Characteristics and Trends of Scarlet Fever in Zhejiang Province of China: Population-Based Surveillance during 2004-2022.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 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

7 authors at 4 institutions in 1 country.

Chenjin Ma *College of Statistics and Data Science, Faculty of Science, Beijing University of Technology, Beijing, China.ORCID 0000-0002-2483-2309
Xiangyu Guo *Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China.
Lan Wang *Department of Geriatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Wang LiNanjing Jiliang Information Technology, Nanjing, China.
Shelan LiuDepartment of Infectious Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China liushelan@126.com fengl@cdc.zj.cn wlxu@ruc.edu.cn.
Feng LinDepartment of Infectious Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China liushelan@126.com fengl@cdc.zj.cn wlxu@ruc.edu.cn.
Wangli XuCenter for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China liushelan@126.com fengl@cdc.zj.cn wlxu@ruc.edu.cn.ORCID 0000-0003-4983-9950
Renmin University of China · CNZhejiang Center for Disease Control and Prevention · CNBeijing University of Technology · CNFirst Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been reported that strict non-pharmaceutical measures can significantly reduce the incidence and mortality of respiratory and intestinal infectious diseases during the COVID-19 pandemic, but there are limited reports on the impact in terms of the rates of zoonotic diseases.

methodsWe extracted the incidence and mortality data of eight notifiable infectious zoonotic diseases from the website of the National Health Commission of the People's Republic of China for the period of January 2015 to April 2021.

resultsFirst, the overall incidence of zoonotic diseases decreased from 0.3714 per 100 000 in 2015-2019 to 0.2756 in 2020 (25.79% reduction, p<0.001); however, a dramatic increase in activity was seen in 2021 compared with 2020 (0.4478 per 100 000 in 2021, 62.47% increase, p<0.001). Anthrax, brucellosis, leptospirosis and hydatid disease exhibited significant upward trends in 2021. Second, analysed further by stages, the monthly incidence in the routine stage (from May to December 2020) was much higher than that in the emergency stage of the COVID-19 (from January to April 2020) (55.33% increase, p<0.001). We also found that the monthly observed incidence was significantly lower than the predicted incidence of a 10.29% reduction in the emergency stage. Third, no differences were seen in mortality between 2021 and 2020, while a significant decline was found in 2020 compared with the previous 5 years (72.70%, p<0.001).

conclusionsStrict containment and feasible suppression strategies during the 2020 period of the COVID-19 pandemic had positive impacts on the overall incidence of zoonotic diseases in China. However, anthrax, brucellosis, leptospirosis and hydatid diseases might increase with the relaxation of non-pharmacological interventions in 2021.

Indexed as

COVID-19AnimalsChinaHumansIncidencePandemicsSARS-CoV-2Zoonosesbrucellosiscontrol strategiesCOVID-19epidemiology

Identifiers

PMID34996765
PMCPMC8743839
OpenAlexW4205477759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.