ArticleCureus2023
Post-COVID-19 Illness Trend in a Local Community in Bangladesh.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAn infection with coronavirus disease 2019 (COVID-19) might show a wide range of symptoms. Many individuals still experience symptoms after a prolonged period of initial COVID-19.
objectivesThe objective is to find out the prolonged consequences of COVID-19 with their associations. MATERIALS AND
methodTwo hundred and eighty-six COVID-19 cases were the subject of this cross-sectional investigation, which was carried out in basic and secondary healthcare facilities in Bangladesh. COVID-19-positive participants with consent were interviewed in person about their sociodemographic traits, the nature of their COVID-19 infection, risk factors, present manifestations, etc. We carried out our statistical exploration by use of IBM SPSS Statistics for Windows, Version 22 (Released 2013; IBM Corp., Armonk, New York, United States). To evaluate differences, we utilized the chi-square (χ2) test as well as the unpaired t-test. Our significance threshold level was 0.05.
resultIn this study, 18.5% of participants reported having post-COVID-19 symptoms. The four main symptom categories were anorexia (26.4%), myalgia (34.8%), fatigue (41.5%), and palpitations (25.5%). The majority of post-COVID-19 syndrome patients (e.g., 40.0%) were over 50 years old. Severe disease (81.8%) was more likely to develop post-COVID-19 illness.
conclusionFifty-three out of 286 participants (or 18.5%) reported having post-COVID-19 symptoms. The main symptom categories included fatigue, myalgia, anorexia, and palpitations. In order to determine the risk variables our data supports, additional investigation is required.
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