Evidence map›Paper›PMID 34305400›Full record

ArticleInfection and drug resistance2021

Epidemiological Analysis of Rabies in Central China from 2013 to 2018.

Li Cai, Lixian Wang, Xuhua Guan, Lei Wang, Xinyi Hu, Yang Wu, Yeqing Tong, Peigang Wang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2021. 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
–field-weighted citation impact
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.

  1. Trial
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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

8 authors.

Li CaiSchool of Health Sciences, Wuhan University, Wuhan, 430071, People's Republic of China.
Lixian WangXiaonan Center for Disease Control and Prevention, Xiaogan, 432100, People's Republic of China.
Xuhua GuanHubei Center for Disease Control and Prevention, Wuhan, Hubei, 430079, People's Republic of China.
Lei WangHubei Center for Disease Control and Prevention, Wuhan, Hubei, 430079, People's Republic of China.
Xinyi HuGlobal Study Institute, University of Geneva, Geneva, Switzerland.
Yang WuHubei Center for Disease Control and Prevention, Wuhan, Hubei, 430079, People's Republic of China.
Yeqing TongHubei Center for Disease Control and Prevention, Wuhan, Hubei, 430079, People's Republic of China.
Peigang WangSchool of Health Sciences, Wuhan University, Wuhan, 430071, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aimed to timely grasp the epidemiologic status of rabies in Central China from 2013 to 2018 and provide scientific evidence for the implementation of follow-up prevention and control measures.

methodsWe initiated a retrospective observational and descriptive study of bite-related injuries data and rabies disease data in Hubei province from 2013 to 2018, managed by the Center for Disease Control and Prevention.

resultsA total of 2,028,691 individuals were exposed to bites from 2013 to 2018, of which 221 were diagnosed with rabies and deceased. Among those cases, the incubation periods of rabies varied from 3 days to 18,406 days, which has been shown to be statistically associated with where the infected person was exposed and whether the wound care has been conducted.

conclusionEpidemiological studies have shown that from 2013 to 2018, the current situation of rabies in Central China is still severe. The case fatality rate keeps virtually 100%. The rural population is still the most vulnerable group to rabies, characterized by a high exposure ratio and low treatment rate as well as poor vaccination compliance. Hoewever, larger populations are warranted to validate our findings.

Indexed as

Chinaepidemiologyrabies

Identifiers

PMID34305400
PMCPMC8297554

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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.