Facebook as a Tool for Health Research: A Systematic Review

Yari, Felicitas; Ayeni, Foluso; Adewunmi, Mary; Ayo, Richard; Ayo, Timothy; Katchoua, Godswill; Adewole, S. O.; Fawehinmi, Olumide; Mbarika, Victor

doi:10.11648/j.ajhr.20200802.11

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“…A google form with the survey questions was made and disseminated to people from all walks of life via Facebook, WhatsApp and individual contacts. Health research based on Facebook surveys is becoming increasingly common, and various funding agencies support them 6 . The survey questions were chosen from the 'Covid-19 community response survey guidance' 7 , with some modifications to fit the country's circumstances.…”

Section: Methodsmentioning

confidence: 99%

Covid-19 Pandemic Awareness and Its Impact on Bangladeshi People: A Community Based Survey

et al. 2022

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Background: The present study has been carried out to find out the people’s perception about the COVID-19 pandemic and the effects of this pandemic on their daily lives. Methods: A Google form was used to create an online survey questionnaire distributed via personal relationships and social media. Data were collected using questionnaires consisting of socio-demographic status of participants, COVID-19 concepts and changes in the participants’ lifestyle. A total of 1088 respondents took part in the survey, and the results were evaluated using several statistical approaches. The results were presented in a variety of tables and graphs. Results: Males made up 53.3% of the participants, while females made up 46.7% who were from villages (29.87%), cities (53.77%), and semi-urban areas (16.36%). Most participants reported that they got information about the COVID-19 pandemic from social media, and they cited 'fever' as an indicator of the sickness. Although the amount of physical interactions with friends and family has not dropped much, working conditions and employment status have significantly altered. The majority of the participants claimed they have no concerns about the COVID-19. Conclusion: For up-to-date information regarding COVID-19, people in Bangladesh from all walks of life rely largely on social media. COVID-19 awareness isn't enough to inhibit the spreading of the virus from community to community. Employees' work schedules have also been drastically altered. To prevent transmission, we should all follow the safety rules strictly. Peer Review History: Received: 4 November 2021; Revised: 17 December; Accepted: 28 December, Available online: 15 January 2022 Academic Editor: Dr. Muhammad Zahid Iqbal, AIMST University, Malaysia, drmmziqbal@gmail.com UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency. Received file: Reviewer's Comments: Average Peer review marks at initial stage: 5.5/10 Average Peer review marks at publication stage: 7.0/10 Reviewers: Dr. Eyassu Mathewos, School of public health, college of health sciences and medicine, Wolaita Soddo university- P.O. Box 158, Wolaita Soddo, Ethiopia. Dr. Barkat Ali Khan, Kampala International University , Uganda, barki.gold@gmail.com Similar Articles: COVID-19: PHARMACOLOGICAL AND THERAPEUTIC APPROACHES COVID-19 IN MEXICO: PREPARING FOR FUTURE PANDEMICS

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Section: Methodsmentioning

confidence: 99%