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Prevalence of Long Covid symptoms in Bangladesh

A prospective Inception Cohort Study of Covid-19 survivors

Bibliographic Data

ID21880077
AuthorsMohammad Anwar Hossain (0000-0001-9415-012X, Centre for the Rehabilitation of the Paralysed), K M Amran Hossain (0000-0003-2124-2087, Centre for the Rehabilitation of the Paralysed), Karen Saunders (0000-0003-0626-2477, University of Kent), Zakir Uddin (0000-0002-3018-0327, McMaster University), Lori Maria Walton (0000-0002-3221-7365, University of Scranton), Veena Raigangar (0000-0002-0395-5983, University of Sharjah), Mohamed Sakel (0000-0001-6749-5229, East Kent Hospitals University NHS Foundation Trust), Rubayet Shafin (0000-0001-5632-7625, Centre for the Rehabilitation of the Paralysed), Mohammad Sohrab Hossain (0000-0002-8452-1641, Centre for the Rehabilitation of the Paralysed), Mohammed Fazlul Kabir (0000-0002-5885-4514), Md Feroz Kabir (Jashore University of Science and Technology), Rafey Faruqui (0000-0003-2668-3316, Kent and Medway NHS and Social Care Partnership Trust), Md Shohag Rana (0000-0001-8404-5203, Centre for the Rehabilitation of the Paralysed), Md Shahoriar Ahmed (0000-0002-8295-7580, Centre for the Rehabilitation of the Paralysed), Sonjit Kumar Chakrovorty (Jashore University of Science and Technology), M Anwar Hossain (0000-0001-9777-0332, University of Dhaka), Md Anwar Hossain (0000-0001-7121-3837, University of Dhaka), Iqbal Kabir Jahid (0000-0003-0717-0806, Jashore University of Science and Technology, corresponding author)
Year2021
Volume6
Issue12
Pagese006838
Publication date2021-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2021-006838
PMID34906986
OpenAlexW4226080453
LanguageEN
Citations received2
References cited22

BACKGROUND: The objective of this study was to identify the prevalence of long COVID symptoms in a large cohort of people living with and affected by long COVID and identify any potential associated risk factors. METHODS: A prospective survey was undertaken of an inception cohort of confirmed people living with and affected by long COVID (aged 18-87 years). 14392 participants were recruited from 24 testing facilities across Bangladesh between June and November 2020. All participants had a previously confirmed positive COVID-19 diagnosis, and reported persistent symptoms and difficulties in performing daily activities. Participants who consented were contacted by face-to-face interview, and were interviewed regarding long COVID, and restriction of activities of daily living using post COVID-19 functional status scale. Cardiorespiratory parameters measured at rest (heart rate, systolic blood pressure, diastolic blood pressure, oxygen saturation levels, maximal oxygen consumption, inspiratory and expiratory lung volume) were also measured. RESULTS: Among 2198 participants, the prevalence of long COVID symptoms at 12 weeks was 16.1%. Overall, eight long COVID symptoms were identified and in descending order of prominence are: fatigue, pain, dyspnoea, cough, anosmia, appetite loss, headache and chest pain. People living with and affected by long COVID experienced between 1 and 8 long COVID symptoms with an overall duration period of 21.8±5.2 weeks. Structural equation modelling predicted the length of long COVID to be related to younger age, female gender, rural residence, prior functional limitation and smoking. CONCLUSION: In this cohort, at 31 weeks post diagnosis, the prevalence of long COVID symptoms was 16.1%. The risk factors identified for presence and longer length of long COVID symptoms warrant further research and consideration to support public health initiatives

Cardiorespiratory fitness · Chest pain · Cohort · Cohort study · Physical therapy · Prospective cohort study · Chronic Obstructive Pulmonary Disease (COPD) Research · Long-Term Effects of COVID-19 · Medicine · Respiratory and Cough-Related Research · Internal Medicine · Pediatrics

  • Global prevalence of post-Covid-19 condition (Long Covid)

    Open Access•Samal Kassymbek, Aigul Abduldayeva et al.•Frontiers in Public Health•2026

  • Sociodemographic, economic, physical, and mental health status of previously hospitalised patients with Covid-19 symptoms in Bangladesh

    Open Access•Tanvir Ahmed, Shangjucta Das Pooja et al.•Frontiers in Public Health•2023

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    Open Access•Chaolin Huang, Lixue Huang et al.•The Lancet•2021

  • Characterizing long Covid in an international cohort

    Open Access•Hannah Davis, Gina Assaf et al.•EClinicalMedicine•2021

  • Postdischarge symptoms and rehabilitation needs in survivors of Covid‐19 infection

    Open Access•Stephen Halpin, Claire McIvor et al.•Journal of Medical Virology•2021

  • Persistent Symptoms in Patients After Acute Covid-19

    Angelo Carfì, Roberto Bernabei et al.•JAMA•2020

  • Attributes and predictors of long Covid

    Open Access•Carole H Sudre, Benjamin Murray et al.•Nature Medicine•2021

  • Post-acute Covid-19 syndrome

    Open Access•Ani Nalbandian, Kartik Sehgal et al.•Nature Medicine•2021

  • Strengthening the Reporting of Observational Studies in Epidemiology (STROBE)

    Open Access•Jan P Vandenbroucke, Erik Von Elm et al.•PLoS Medicine•2007

  • Management of post-acute covid-19 in primary care

    Open Access•Trisha Greenhalgh, Matthew Knight et al.•BMJ•2020

  • Defining Post-Covid Symptoms (Post-Acute Covid, Long Covid, Persistent Post-Covid)

    Open Access•César Fernández‐de‐las‐peña, Domingo Palacios-Ceña et al.•International Journal of…•2021

  • Treatment, Persistent Symptoms, and Depression in People Infected with Covid-19 in Bangladesh

    Open Access•Md Saiful Islam, Most Zannatul Ferdous et al.•International Journal of…•2021

Unique citing works2
Citations per year0,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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