Evidence map›Paper›PMID 38186700›Full record

ArticleFrontiers in public health2023

Primary healthcare workers' COVID-19 infection status following implementation of adjusted epidemic prevention and control strategies: a cross-sectional study in Jiangsu, China.

Beier Lu, Rongji Ma, Jinshui Xu, Yongjie Zhang, Haijian Guo, Hualing Chen, Pengcheng Miao, Yongkang Qian, Biyun Xu, Ya Shen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Beier Lu *Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Rongji Ma *Department of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Jinshui XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yongjie ZhangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Haijian GuoJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Hualing ChenDepartment of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Pengcheng MiaoDepartment of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Yongkang QianDepartment of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Biyun XuMedical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
Ya ShenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Bingwei ChenDepartment of Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Southeast University · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In times of epidemic outbreaks, healthcare workers (HCWs) emerge as a particularly vulnerable group. This cross-sectional study endeavors to assess the COVID-19 infection rate among the primary HCWs in Jiangsu Province subsequent to the implementation of adjusted epidemic prevention and control strategies. Methods: From January 17 to February 2, 2023, an extensive survey was conducted among primary HCWs in Jiangsu Province, employing a self-designed questionnaire. Logistic regression analysis was utilized to identify the factors associated with COVID-19 infection. Results: The overall infection rate among primary HCWs stood at 81.05%, with a 95% confidence interval ( Conclusion: Following the implementation of adjusted policies, a substantial proportion of primary HCWs in Jiangsu province contracted COVID-19. Female gender and younger age emerged as risk factors for COVID-19 infection, while no discernible link was established between professions and COVID-19 susceptibility. The receipt of COVID-19 vaccines demonstrated efficacy in curtailing the infection rate, underscoring the significance of bolstering prevention knowledge and heightening self-protective awareness among primary HCWs.

Indexed as

COVID-19ChinaCOVID-19 VaccinesCross-Sectional StudiesFemaleFeverHealth PersonnelHumansPregnancyCOVID-19 VaccinesChinaCOVID-19healthcare workersinfectioninfluencing factors

Identifiers

PMID38186700
PMCPMC10770863
OpenAlexW4390111544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.