Evidence map›Paper›PMID 39553360›Full record

ArticleMaedica2024

Comprehensive Analysis of COVID-19 Symptomatology among Healthcare Workers: Insights from a Tertiary Hospital.

B H Shrikrishna, Vijay Bidkar, Sandeep Dabhekar, Prathipati Kirankumar, Gadwal Deepa

Abstract readEditorial
In one paragraph

Article in Maedica, 2024. 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
–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

0 citing papers in PubMed.

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

5 authors.

B H ShrikrishnaDepartment of Otorhinolaryngology and Head Neck Surgery, All India Institute of Medical Sciences, Bibinagar, Hyderabad, India.
Vijay BidkarDepartment of Otorhinolaryngology and Head Neck Surgery, All India Institute of Medical Sciences, Nagpur, India.
Sandeep DabhekarDepartment of Otorhinolaryngology and Head Neck Surgery, All India Institute of Medical Sciences, Nagpur, India.
Prathipati KirankumarDepartment of Otorhinolaryngology and Head Neck Surgery, All India Institute of Medical Sciences, Nagpur, India.
Gadwal DeepaDepartment of Anatomy, All India Institute of Medical Sciences, Bibinagar, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a thorough examination of COVID-19 symptomatology among healthcare workers from All India Institute of Medical Sciences (AIIMS), Nagpur, India. Through meticulous analysis spanning from May 2020 to October 2020, we enrolled 73 healthcare workers engaged in COVID-19 screening, care and testing. Our study aimed to elucidate the spectrum of symptoms, adherence to protective measures and implications for early detection and intervention. Key findings revealed a diverse range of symptoms, including body ache, fatigue, headache, sore throat, fever, cough and loss of taste, among others. Notably, 21% of all positive cases were asymptomatic, underscoring the variability in clinical presentation. Adherence to personal protective measures varied across work areas, highlighting the importance of stringent compliance. Our discussion emphasizes the significance of early identification and tailored monitoring systems for mitigating transmission risks and ensuring healthcare worker safety. Additionally, addressing the mental health needs of healthcare workers is crucial for comprehensive pandemic management. Overall, this study contributes essential insights into COVID-19 symptomatology among healthcare workers, offering valuable guidance for infection control and prevention strategies in the pandemic.

Identifiers

PMID39553360
PMCPMC11565133

What OpenQuestion holds

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Registered trials

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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.