ABSTRACT
BackgroundAlthough the increased risk of COVID-19 in carceral facilities is well documented, little is known about the practical barriers to infection control and indirect impacts of pandemic policies in these settings. Evidence in jails is especially scarce. MethodsBetween July 8, 2020 and April 30, 2021 we performed SARS-CoV-2 serology testing and administered a questionnaire among residents and staff in four Northern California jails. We analyzed seroprevalence in conjunction with demographic factors and survey responses of self-perceived COVID-19 risk, recent illness, COVID-19 test results, and symptom reporting behaviors. We additionally assessed COVID-19 policies in practice and evaluated their impacts on court dates, mental health, and routine health care. We engaged stakeholder representatives, including incarcerated individuals and their advocates, to guide study design, conduct, and interpretation. ResultsWe enrolled 788 incarcerated individuals and 380 staff across four county jails. Most seropositive individuals had not previously tested positive for COVID-19, despite many suspecting prior infection. Among incarcerated participants, we identified deficient access to face masks and prevalent symptom underreporting associated with fears of isolation and perceptions of medical neglect in jail. Incarcerated participants also reported substantial hindrances to court cases and reductions in routine health care due to COVID-19. Incarcerated individuals and staff both cited worsened mental health due to COVID-19, which for incarcerated individuals was largely attributable to further isolation from loved ones and other pandemic restrictions on recreation and programming. ConclusionPerceptions of inadequate protection from COVID-19 were pervasive among incarcerated individuals. Simultaneously, restrictive measures compounded poor mental health and fostered fears of isolation that undermined effective infection control. Custody officials should work to systematically improve provision of masks, understand and mitigate fears and mistrust, and take proactive steps to minimize the detrimental impacts of restrictive policies on residents mental health and well-being.
ABSTRACT
BackgroundThe U.S. has experienced an unprecedented number of shelter-in-place orders throughout the COVID-19 pandemic. There is limited empirical research that examines the impact of these orders. We aimed to rapidly ascertain whether social distancing; difficulty with daily activities (obtaining food, essential medications and childcare); and levels of concern regarding COVID-19 changed after the March 16, 2020 announcement of shelter-in-place orders for seven counties in the San Francisco Bay Area. MethodsWe conducted an online, cross-sectional social media survey from March 14 - April 1, 2020. We measured changes in social distancing behavior; experienced difficulties with daily activities (i.e., access to healthcare, childcare, obtaining essential food and medications); and level of concern regarding COVID-19 after the March 16 shelter-in-place announcement in the San Francisco Bay Area and elsewhere in the U.S. ResultsThe percentage of respondents social distancing all of the time increased following the shelter-in-place announcement in the Bay Area (9.2%, 95% CI: 6.6, 11.9) and elsewhere in the U.S. (3.4%, 95% CI: 2.0, 5.0). Respondents also reported increased difficulty with obtaining food, hand sanitizer, and medications, particularly with obtaining food for both respondents from the Bay Area (13.3%, 95% CI: 10.4, 16.3) and elsewhere (8.2%, 95% CI: 6.6, 9.7). We found limited evidence that level of concern regarding the COVID-19 crisis changed following the shelter-in-place announcement. ConclusionThese results capture early changes in attitudes, behaviors, and difficulties. Further research that specifically examines social, economic, and health impacts of COVID-19, especially among vulnerable populations, is urgently needed.
ABSTRACT
An improved approximate entropy (ApEn) is presented and applied to characterize surface electromyography (sEMG) signals. In most previous experiments using nonlinear dynamic analysis, this certain processing was often confronted with the problem of insufficient data points and noisy circumstances, which led to unsatisfactory results. Compared with fractal dimension as well as the standard ApEn, the improved ApEn can extract information underlying sEMG signals more efficiently and accurately. The method introduced here can also be applied to other medium-sized and noisy physiological signals.