Evidence map›Paper›PMID 32838192›Full record

ArticleSN comprehensive clinical medicine2020

Analysis of COVID-19 Cases and Public Measures in China.

Chun-Song Hu

Open access · bronzeAbstract read
In one paragraph

Article in SN comprehensive clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  9. A systematic review on post-discharge venous thromboembolism prophylaxis in patients with COVID-19.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2023
    Review
  10. Article
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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

1 author at 1 institution in 1 country.

Chun-Song HuDepartment of Cardiovascular Medicine, Nanchang University, Hospital of Nanchang University, Jiangxi Academy of Medical Science, No. 461 Bayi Ave, Nanchang, 330006 Jiangxi China.ORCID https://orcid.org/0000-0002-0590-3909
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper briefly analyzes COVID-19 cases during Wuhan lockdown and travel restrictions on 23 January 2020 to 23 June 2020, which included total confirmed, in critical condition, deaths, recovered, and suspected cases in China. Results showed that there were 28,942 suspected cases on February 8, 2020, at the peak; then, it almost declined continually to only several cases. Total confirmed cases were more than 80,000 on March 1, 2020, but less than 84,000, and deaths were more than 3000 on March 4, 2020, but less than 4640, totally, thanks for the right public measures for COVID-19 in China, such as the Wuhan City lockdown and travel restrictions for isolation; positive screening and testing; and establishing a Huoshenshan hospital, a Leishenshan hospital, and a number of Fangcang shelter hospitals, traditional Chinese medicine and a combination of Chinese and western medicine, and the launch of the clinical trials of antiviral drugs (Lianhua Qingwen, remdesivir, and chloroquine). In addition, the iRT-ABCDEF program is very useful to control domestic, imported, and asymptomatic cases. Cases in critical condition decrease continually after the peak of 11,977 cases on February 18, 2020, and recovered cases increase continually to over 78,400 cases due to these right public measures and effective treatments. In recent months, there are only 2 deaths and only about ten cases in critical condition. All in all, these public measures in China are confirmed to be very effective and are worth conducting in countries worldwide.

Indexed as

COVID-19Infectious diseasePreventionPublic heathSARS-CoV-2

Identifiers

PMID32838192
PMCPMC7429092
OpenAlexW3049280564

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.