Evidence map›Paper›PMID 34419605›Full record

ArticleMicrobes and infection2022

The COVID-19 epidemic and other notifiable infectious diseases in China.

Bing-Ke Bai, Qi-Yu Jiang, Jun Hou

Open access · greenAbstract read
In one paragraph

Article in Microbes and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Epidemiological characteristics of syphilis in mainland China, 2004 to 2019.The Journal of international medical research · 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

3 authors at 1 institution in 1 country.

Bing-Ke BaiInstitute of Infectious Diseases, Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, 100 Middle Street of 4th West Ring Road, Beijing, 100039, China.
Qi-Yu JiangInstitute of Infectious Diseases, Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, 100 Middle Street of 4th West Ring Road, Beijing, 100039, China.
Jun HouInstitute of Infectious Diseases, Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, 100 Middle Street of 4th West Ring Road, Beijing, 100039, China. Electronic address: hjun301@163.com.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many infection control measures have been implemented to prevent the spread of SARS-CoV-2 during COVID-19 pandemic. We aimed to investigate the impact of COVID-19 epidemic on the other notifiable infectious diseases in China, including respiratory infectious diseases, diseases transmitted through the digestive tract and animal-borne diseases. Compared with 2019, the overall decline rate of respiratory infectious diseases in 2020 is the highest (60-90%), and the diseases transmitted by the digestive tract and animal-borne diseases are similar at 20-30%. Both hepatitis and sexually transmitted diseases decreased significantly in February, and there were basically no significant changes in other months compared with previous years. The series of measures taken by China government to prevent the spread of SARS-CoV-2 are also very effective in preventing the spread of respiratory infectious diseases. But they also have a certain degree of prevention against notifiable infectious diseases spread by other routes.

Indexed as

Communicable DiseasesCOVID-19AnimalsChinaHumansIncidencePandemicsSARS-CoV-2Notifiable infectious diseasesPublic healthSARS-CoV-2

Identifiers

PMID34419605
PMCPMC8375246
OpenAlexW3194500568

What OpenQuestion holds

Textmetadata
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.