Evidence map›Paper›PMID 37942282›Full record

ArticleJournal of multidisciplinary healthcare2023

Analysis of Symptom Spectra and Associated Factors Among 536 Respondents During the COVID-19 Epidemic in China: A Cross-Sectional Study.

Ye Wang, Fenxiang Li, Jian Liu, Jing Liu, Pei Qin, Jiayi Zhang, Yingtao Zhang, Shuning Wu

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 1 country.

Ye Wang *Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, People's Republic of China.ORCID 0009-0000-5326-8463
Fenxiang Li *Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, People's Republic of China.
Jian LiuDepartment of General Surgery, Maternal and Child Health Hospital, Qingyuan, Guangdong, People's Republic of China.
Jing LiuIntensive Care Unit 1, The First Affiliated Hospital, Jinan University, Guangdong, Guangzhou, People's Republic of China.
Pei QinShenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, People's Republic of China.
Jiayi ZhangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, People's Republic of China.
Yingtao ZhangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, People's Republic of China.
Shuning WuDepartment of Thyroid and Breast Surgery, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, People's Republic of China.ORCID 0009-0006-7478-7784
First Affiliated Hospital of Jinan University · CNGuangdong Provincial Center for Disease Control and Prevention · CNGuangzhou Development Zone Hospital · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to identify common COVID-19 symptoms and asymptomatic infection rates during the epidemic in China. We also introduce the concepts of "Time-point asymptomatic rate" and "Period asymptomatic rate". Object and Methods: A questionnaire survey was conducted online from December 2022 to January 5, 2023, collecting demographic characteristics, laboratory results, clinical symptoms, lifestyle and vaccination history. Statistical methods were used to analyze symptom characteristics, associated factors, and patterns during an 8-day observation period. Numerical variables were described by median M (Q1-Q3) or mean and standard deviation (). Categorical variables are described by frequency (N), ratio (%) or rate (%). The influencing factors were studied by Wilcoxon or Kruskal-Willis Results: Out of 536 participants, 493 (91.98%) were infected, with 3 asymptomatic cases and 490 symptomatic cases within 8 days. The time-point asymptomatic rate increased from 0.61% on day 1 to 15.42% on day 8. Fever, cough, and fatigue were the main symptoms, with additional symptoms such as vomiting, diarrhea, and hyposmia reported. Symptom durations varied, with cough and expectoration lasting longer and vomiting and diarrhea lasting shorter. Several symptoms showed a downward trend over time. Conclusion: Our online survey highlighted that most COVID-19 patients experienced symptoms, and the time-point asymptomatic rate showed a dynamic change among the infected population. Onset patterns and demographic factors influence symptom occurrence and duration. These findings have implications for clinical practitioners and decision-makers in public health measures and strategies.

Indexed as

associated factorsclinical featuresNovel coronavirus infectiononset patternsperiod asymptomatic ratetime-point asymptomatic

Identifiers

PMID37942282
PMCPMC10629551
OpenAlexW4388298578

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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.