ArticleThe Journal of hospital infection2020
Super-factors associated with transmission of occupational COVID-19 infection among healthcare staff in Wuhan, China.
Article in The Journal of hospital infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- COVID-19 among health care workers and their impact on the health care system in a teaching hospital in Pakistan: A cross sectional observational study.Health science reports · 2023Article
- Predictors of COVID-19 infection among health care workers in Harare City, Zimbabwe, 2021.The Pan African medical journal · 2023Article
- Level of Self-Care and Patient Care Against COVID-19 Among Emergency Medical Services Personnel; a Cross-sectional Study.Archives of academic emergency medicine · 2023Article
- The epidemiology and dynamics of COVID-19 disease transmission among healthcare workers of a tertiary healthcare setting in India.Journal of family medicine and primary care · 2022Article
- Revisiting the Effects of High-Speed Railway Transfers in the Early COVID-19 Cross-Province Transmission in Mainland China.International journal of environmental research and public health · 2021Article
- Remote nursing training model combined with proceduralization in the intensive care unit dealing with patients with COVID-19.World journal of clinical cases · 2021Review
- Article
- Implications of human activities for (re)emerging infectious diseases, including COVID-19.Journal of physiological anthropology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlobally, there have been many cases of coronavirus disease 2019 (COVID-19) among medical staff; however, the main factors associated with the infection are not well understood.
aimTo identify the super-factors causing COVID-19 infection in medical staff in China.
methodsA cross-sectional study was conducted between January 1
findingsA total of 92 medical staff were enrolled. In all participant groups, the super-factor identified by the network was wearing a medical protective mask or surgical mask correctly (degree: 572; closeness: 25; betweenness centrality: 3.23). Touching the cheek, nose, and mouth while working was the super-factor in the infected group. This was the biggest node in the network and had the strongest influence (degree: 370; closeness: 29; betweenness centrality: 0.37). Self-protection score was the super-factor in the uninfected group but was the isolated factor in the infected group (degree: 201; closeness: 28; betweenness centrality: 5.64). For family members, the exposure history to Huanan Seafood Wholesale Market and the contact history to wild animals were two isolated nodes.
conclusionHigh self-protection score was the main factor that prevented medical staff from contracting COVID-19 infection. The main factor contributing to COVID-19 infections among medical staff was touching the cheek, nose, and mouth while working.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.