• Public perception of COVID-19 management and response in Nigeria: a cross-sectional survey

      Oleribe, Obinna; Ezechi, Oliver; Osita-Oleribe, Princess; Olawepo, Olatayo; Musa, Adesola Z; Omoluabi, Anddy; Fertleman, Michael; Salako, Babatunde L; Taylor-Robinson, Simon D (BMJ Publishing Group, 2020-10-14)
      OBJECTIVES: A study designed to assess the public perception of the response of government and its institutions to the COVID-19 pandemic in Nigeria. SETTING: Self-selecting participants throughout Nigeria completed a self-administered questionnaire through an online cross-sectional survey.495. RESULTS: The majority of respondents were married (76.6%), were males (61.8%), had tertiary level education (91.0%), were public servants (36.8%), Christians (82.6%), and resident either in the Federal Capital Territory (Abuja) (49.1%) or in the South-East Region of Nigeria (36.6%). Over 95% of the respondents had heard of COVID-19 (98.8%) and knew it is a viral disease (95.4%). The government and its institutions response to the pandemic were rated as poor, with the largest rating as poor for Federal President's Office (57.5%). Communication (50.0%) and prevention messages (43.7%) received the highest perception good rating. Female respondents and those less than 40 years generally rated the governmental responses as poor. CONCLUSIONS/RECOMMENDATIONS: It is recommended that as a public-private partnership approached was efficiently used to more effectively disseminate public health communication and prevention messages, the Nigerian Government should expand this collaboration to improve the quality of services provided in other areas of COVID-19 outbreak management.
    • Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes.

      Mattingly, T Joseph; Trinkoff, Alison; Lydecker, Alison D; Kim, Justin J; Yoon, Jung Min; Roghmann, Mary-Claire (SAGE Publications Inc., 2021-12-09)
      At the beginning of the COVID-19 pandemic, some nursing homes (NHs) in Maryland suffered larger outbreaks than others. This study examined how facility characteristics influenced outbreak size. We conducted a retrospective analysis of secondary data from Maryland NHs to identify characteristics associated with large outbreaks, defined as when total resident cases exceeded 10% of licensed beds, from January 1, 2020, through July 1, 2020. Our dataset was unique in its inclusion of short-stay residents as a measure of resident type and family satisfaction as a measure of quality. Facility characteristics were collected prior to 2020. Like other studies, we found that large outbreaks were more likely to occur in counties with high cumulative incidence of COVID-19, and in NHs with more licensed beds or fewer daily certified nursing assistant (CNA) hours. We also found that NHs with a greater proportion of short-stay residents were more likely to have large outbreaks, even after adjustment for other facility characteristics. Lower family satisfaction was not significantly associated with large outbreaks after adjusting for CNA hours. Understanding the characteristics of NHs with large COVID-19 outbreaks can guide facility re-structuring to prevent the spread of respiratory infections in future pandemics.