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Am J Trop Med Hyg ; 104(3): 874-883, 2021 Jan 18.
Article in English | MEDLINE | ID: covidwho-1060758

ABSTRACT

In low- and middle-income countries (LMICs), hand sanitizer may be a convenient alternative to soap and water to increase hand hygiene practices. We explored perceptions, acceptability, and use of hand sanitizer in rural Bangladesh. We enrolled 120 households from three rural villages. Promoters distributed free alcohol-based hand sanitizer, installed handwashing stations (bucket with tap, stand, basin, and bottle for soapy water), and conducted household visits and community meetings. During Phase 1, promoters recommended handwashing with soap or soapy water, or hand sanitizer after defecation, after cleaning a child's anus/feces, and before food preparation. In Phase 2, they recommended separate key times for hand sanitizer: before touching a child ≤ 6 months and after returning home. Three to 4 months after each intervention phase, we conducted a survey, in-depth interviews, and group discussions with child caregivers and male household members. After Phase 1, 82/89 (92%) households reported handwashing with soap after defecation versus 38 (43%) reported hand sanitizer use. Participants thought soap and water removed dirt from their hands, whereas hand sanitizer killed germs. In Phase 2, 76/87 (87%) reported using hand sanitizer after returning home and 71/87 (82%) before touching a child ≤ 6 months. Qualitative study participants reported that Phase 2-recommended times for hand sanitizer use were acceptable, but handwashing with soap was preferred over hand sanitizer when there was uncertainty over choosing between the two. Hand sanitizer use was liked by household members and has potential for use in LMICs, including during the coronavirus pandemic.


Subject(s)
Alcohols/chemistry , Hand Hygiene/methods , Hand Sanitizers/analysis , Rural Population/statistics & numerical data , Adolescent , Adult , Aged , Bangladesh/epidemiology , Family Characteristics , Female , Hand Disinfection/methods , Hand Disinfection/standards , Health Behavior , Humans , Male , Middle Aged , Poverty , Qualitative Research , Young Adult
2.
Am J Trop Med Hyg ; 103(4): 1621-1629, 2020 10.
Article in English | MEDLINE | ID: covidwho-713541

ABSTRACT

Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the detection, assessment, and response to rumors, stigma, and conspiracy theories in real time are a challenge. Therefore, we followed and examined COVID-19-related rumors, stigma, and conspiracy theories circulating on online platforms, including fact-checking agency websites, Facebook, Twitter, and online newspapers, and their impacts on public health. Information was extracted between December 31, 2019 and April 5, 2020, and descriptively analyzed. We performed a content analysis of the news articles to compare and contrast data collected from other sources. We identified 2,311 reports of rumors, stigma, and conspiracy theories in 25 languages from 87 countries. Claims were related to illness, transmission and mortality (24%), control measures (21%), treatment and cure (19%), cause of disease including the origin (15%), violence (1%), and miscellaneous (20%). Of the 2,276 reports for which text ratings were available, 1,856 claims were false (82%). Misinformation fueled by rumors, stigma, and conspiracy theories can have potentially serious implications on the individual and community if prioritized over evidence-based guidelines. Health agencies must track misinformation associated with the COVID-19 in real time, and engage local communities and government stakeholders to debunk misinformation.


Subject(s)
Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , Public Health , Social Media , COVID-19 , Data Analysis , Data Collection/methods , Global Health , Humans , Public Health/trends , Retrospective Studies , SARS-CoV-2 , Social Discrimination/psychology , Social Media/standards , Social Media/trends , Social Stigma
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