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Post-Covid-19 Symptoms, an Online Survey in Malaysia
Iium Medical Journal Malaysia ; 21(4):36-44, 2022.
Article in English | Web of Science | ID: covidwho-2311049
ABSTRACT

INTRODUCTION:

Prolonged COVID-19 symptoms is one of the major challenges in the management of the disease. As the number of COVID-19 cases increased drastically, the number of those with prolonged symptoms are also accumulating, either diagnosed or undiagnosed. This study aimed to identify the long-term clinical symptoms of COVID- 19 and the associated risk factors among Malaysian populations. MATERIALS AND

METHODS:

A cross-sectional survey using Google Form link for distribution of a selfadministered questionnaire was shared and disseminated via online platforms such as Facebook, WhatsApp, and Telegram. The inclusion criteria included those with a history of positive COVID-19 from 1st March 2020 until one month prior to the survey, and age above 18 years old.

RESULTS:

A total of 215 Malaysians participated, with 74% female respondents and a mean age of 36.4 years. Twenty-seven (12.6%) were asymptomatic when diagnosed with COVID-19. More than half (56%) still had symptoms at one-month of diagnosis, while 39% and 18% still had symptoms at the second and third months respectively. The most reported symptoms were lethargy (45.1%), difficult concentrating (22.3%) and cough (21.9%). Female, chronic lung disease and hypertension were significantly associated with prolonged symptoms at one month of COVID-19 infection.

CONCLUSIONS:

Lethargy, difficulty to concentrate and cough were the most common symptoms reported months after COVID-19 diagnosis. Apart from treating acute conditions, physicians should also be able to recognize and manage those symptoms. The findings of this study will help policymakers better grasp the social and economic consequences of long-term post-COVID-19 symptoms.
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Topics: Long Covid Language: English Journal: Iium Medical Journal Malaysia Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Topics: Long Covid Language: English Journal: Iium Medical Journal Malaysia Year: 2022 Document Type: Article