This study examined associations among social capital indicators (social participation and generalized trust) at the individual level and alcohol use, which was quantified using Alcohol Use Disorders Identification Test (AUDIT) scores.
 
  In total, there were 8800 participants in community health interviews, including 220 adults sampled systematically from a resident registration database of each of 40 sub-municipal administrative units of local (city or county) governments. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using polychotomous logistic regression.
 
  The aORs for abstainers versus people with AUDIT scores of 0-7, based on 3 questions on generalized trust, in comparison to those with no positive responses, were 1.15 (95% CI, 0.99 to 1.34) for 1 positive response, 1.16 (95% CI, 0.98 to 1.37) for 2 positive responses; and 1.39 (95% CI, 1.20 to 1.61) for 3 positive responses. The aORs for abstainers versus people with AUDIT scores of 0-7, in comparison to participation in no organizations, were 0.61 (95% CI, 0.54 to 0.69) for participation only in informal organizations; 2.16 (95% CI, 1.57 to 2.99) for participation only in religious organizations; 2.41 (95% CI, 1.10 to 5.29) for participation only in volunteer organizations; and 0.65 (95% CI, 0.57 to 0.74) for participation in formal organizations. Participants in formal social organizations, regardless of their participation in informal organizations, were more likely to have AUDIT scores of 8-15 (aOR, 1.29; 95% CI, 1.04 to 1.60) or ≥16 (aOR, 1.65; 95% CI, 1.22 to 2.23) than to have scores of 0-7.
 
  Our findings may have implications for health policy to reduce alcohol problems.
 Our findings may have implications for health policy to reduce alcohol problems.
  Although the World Health Organization (WHO) initiative "My 5 Moments for Hand Hygiene" has been lauded as effective in preventing hospital-associated infections, little is known about healthcare workers (HCWs)' hand hygiene behavior. In this study, we sought to assess knowledge and attitudes towards the concepts in this initiative, as well as associated factors, among Vietnamese HCWs at a general hospital.
 
  A structured questionnaire was administered to HCWs at a central Vietnamese general hospital in 2015.  https://www.selleckchem.com/products/choline-hydroxide.html  Multiple logistic regression analysis was used to identify factors associated with HCWs' knowledge and attitudes towards hand hygiene.
 
  Of 120 respondents, 65.8% and 67.5% demonstrated appropriate knowledge and a positive attitude, respectively, regarding all 5 hand hygiene moments. Logistic regression indicated better knowledge of hand hygiene in workers who were over 30 years old, who were direct HCWs (rather than managers), who had frequent access to clinical information, and who received their cliocally-adapted interventions is needed for sustainable hand hygiene adherence.Since its early stages, the coronavirus disease 2019 (COVID-19) pandemic has posed immense challenges in meeting the public health and healthcare and social care needs of migrants. In line with other reports from United Kingdom and United States, data from Sweden's health authority show that migrants have been disproportionately affected by COVID-19. Following the World Health Organization's statements, as well as the European Public Health Association's call for action, several centres in Sweden's most populated areas have activated tools to implement national plans for community outreach through initiatives targeting migrants and ethnic minority groups. Unconventional means should be promoted to mitigate the impact of COVID-19 on migrants and the health of the public at large.Coronavirus disease 2019 (COVID-19) is inflicting a brutal blow on humankind, and no corner of the world has been exempted from its wrath. This study analyzes the chief control measures and the distinctive features of the responses implemented by Korea and the United States to contain COVID-19 with the goal of extracting lessons that can be applied globally. Even though both nations reported their index cases on the same day, Korea succeeded in flattening the curve, with 10 752 cases as of April 28, 2020, whereas the outbreak skyrocketed in the United States, which had more than 1 million cases at the same time. The prudent and timely execution of control strategies enabled Korea to tame the spread of the virus, whereas the United States paid a major price for its delay, although it is too early to render a conclusive verdict. Information pertaining to the number of people infected with the virus and measures instituted by the government to control the spread of COVID-19 was retrieved from the United States Centers for Disease Control and Prevention and the Korea Centers for Disease Control and Prevention websites and press releases. Drawing lessons from both nations, it is evident that the resolution to the COVID-19 pandemic lies in the prudent usage of available resources, proactive strategic planning, public participation, transparency in information sharing, abiding by the regulations that are put into place, and how well the plan of action is implemented.
  The aim of this study was to assess how different social determinants of health (SDoH) may be related to variability in coronavirus disease 2019 (COVID-19) rates in cities and towns in Massachusetts (MA).
 
  Data about the total number of cases, tests, and rates of COVID-19 as of June 10, 2020 were obtained for cities and towns in MA. The data on COVID-19 were matched with data on various SDoH variables at the city and town level from the American Community Survey. These variables included information about income, poverty, employment, renting, and insurance coverage. We compared COVID-19 rates according to these SDoH variables.
 
  There were clear gradients in the rates of COVID-19 according to SDoH variables. Communities with more poverty, lower income, lower insurance coverage, more unemployment, and a higher percentage of the workforce employed in essential services, including healthcare, had higher rates of COVID-19. Most of these differences were not accounted for by different rates of testing in these cities and towns.