Evidence map›Paper›PMID 40465669›Full record

ArticlePLoS neglected tropical diseases2025

Characteristics, Post-exposure prophylaxis usage, and clinical features of Chinese human rabies cases, 2016-2020.

Qian Ren, Ning Chen, Di Mu, Man-Tong Zhu, Qing-Nan Shi, Shi-Jian Zhou, Hui-Jie Qin, Si-Han Li, Jun-Yuan Chen, Yu Li and 3 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

13 authors.

Qian RenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Ning ChenDepartment of Comprehensive Management, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Di MuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Man-Tong ZhuSchool of Public Health, Guangxi Medical University, Nanning, China.
Qing-Nan ShiBeijing Children's Hospital, Capital Medical University, National Center for Children's Health, China.
Shi-Jian ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Hui-Jie QinSchool of Public Health, Guangxi Medical University, Nanning, China.
Si-Han LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Jun-Yuan ChenSchool of Public Health, Guangxi Medical University, Nanning, China.
Yu LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Wen-Wu YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiu-Lan ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0009-0002-0453-7609
Yan-Ping ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

Chinese National Science and Technology Major ProjectEmergency Response Mechanism Operation Program
6 · The paper itself

Abstract

backgroundRabies continues to pose a significant public health challenge in China. Here we reported the risk factors associated with the failure to initiate post-exposure prophylaxis (PEP) vaccination in China for period 2016-2020. It is essential for identifying strategies to decrease the incidence of these preventable fatalities.

methodsWe analyzed data from 1,733 case investigations in China between 2016 and 2020. Chi-squared tests and logistic regression analyses were utilized to identify factors associated with the failure to initiate PEP vaccination.

resultsA majority of the incidents (n = 1,295; 84.3%) involved animal bites, with dog wounds constituting 94.0% of these cases (n = 1,437). Domestic animals from the victims' own residences accounted for 48.5% (n = 690) of human rabies cases, followed by free-roaming animals at 34.4% (n = 489). Among the domesticated animals, 95.7% (n = 779) had not been vaccinated against rabies. Category III wounds were present in 66.1% (n = 952) of all cases. In the multivariable model, factors occupation, exposure category, and source of attacking animal were significantly associated with failure to initiate PEP vaccination. However, only 4.3% (n = 41) received rabies immunoglobulin (RIG), and a mere 1.2% (n = 11) underwent complete PEP vaccination in addition to RIG administration. The median incubation period for rabies was recorded at 72 days, with an interquartile range (IQR) of 35.0-173.0 days.

conclusionsThe majority of individuals affected by rabies did not pursue PEP vaccination, especially those with category II wounds or those bitten by domestic animals from their own households. To decrease mortality from rabies, it is imperative to launch prevention campaigns directed at these groups. Furthermore, enhancing the regular vaccination of domestic dogs is crucial for long-term control of the disease.

Indexed as

Post-Exposure ProphylaxisRabiesRabies VaccinesAdolescentAdultAgedAged, 80 and overAnimalsBites and StingsChildChild, PreschoolChinaDogsFemaleHumansInfantRabies Vaccines

Identifiers

PMID40465669
PMCPMC12136364

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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.