It’s not the batteries! Smoke alarm presence and functionality 5-7 years post installation of sealed lithium battery alarms

Smoke alarms with lithium batteries have been marketed as long life or “10 Year Alarms.” Previous work has drawn into question the actual term of functionality for lithium battery alarms. This paper reports on observed smoke alarm presence and functionality in a sample of 158 homes which had participated in a fire department smoke alarm installation program 5-7 years prior to the observations. A total of 394 alarms were originally installed in the 158 homes that completed the revisit. At the time of the revisit, 214 of those alarms were working (54%), 26 were non-working (7%), and 154 were missing (39%). Of the 158 homes that completed the revisit, n=62 (39%) had all their originally installed project alarms up at working at the revisit. Respondents who reported owning their homes and who reported living in their home for 6 or more years were significantly more likely than renters and those living in their homes for 5 or fewer years were more likely to maintain all of their project alarms. Smoke alarm installation programs should consider revisiting homes within 5-7 years post installation to inspect and replace any missing or non-functioning alarms. We recommend programs conducting community risk reduction programs track and plan installations and revisits to improve smoke alarm coverage.

How does the community COVID-19 level of risk impact on that of a care home?

Objectives To model the risk of COVID-19 mortality in British care homes conditional on the community level risk. Methods A two stage modeling process (“doubly latent”) which includes a Besag York Mollie model (BYM) and a Log Gaussian Cox Process. The BYM is adopted so as to estimate the community level risks. These are incorporated in the Log Gaussian Cox Process to estimate the impact of these risks on that in care homes. Results For an increase in the risk at the community level, the number of COVID-19 related deaths in the associated care home would be increased by exp (0.833), 2. This is based on a simulated dataset. In the context of COVID-19 related deaths, this study has illustrated the estimation of the risk to care homes in the presence of background community risk. This approach will be useful in facilitating the identification of the most vulnerable care homes and in predicting risk to new care homes. Conclusions The modeling of two latent processes have been shown to be successfully facilitated by the use of the BYM and Log Gaussian Cox Process Models. Community COVID-19 risks impact on that of the care homes embedded in these communities.

Violence: A Prescription of Hope for a Vulnerable Population

Violence is a preventable disease that has long term effects on health. In the United States, violence has become an epidemic that disproportionately affects the African American community. Risk factors that contribute to the perpetration of youth violence include a combination of individual, relationship, community, and societal factors. Individual risk factors include a personal history of victimization of violence, high emotional stress, and exposure to violence and conflict. Family risk factors include low parental education, low income, poor family functioning and low parental involvement. Community risk factors include diminished economic opportunities, high concentration of poor residents, and socially disorganized neighborhoods – all of which are prevalent in communities with high rates of violence. Preventive strategies aimed at reducing violence need to be collaborative and community based. This multi-city project, A Prescription of Hope, aims to educate community members from Illinois and Missouri on the long- term effects of exposure to violence. The target population for Missouri is Ferguson, a small community with an approximate population of 21,035 (2017); however, it is recognized nationally for the demonstrations and unrest that erupted after the August 9, 2014 shooting death of 18-year-old Michael Brown. Worldwide, an estimated 200,000 homicides occur each year among youth aged 10–29 years, accounting for 43% of all homicide annually.

Spatial Modelling for Cholera Incidence Rates in Morogoro Municipality, Tanzania

Spatial modelling was conducted to examine community factors associated with cholera incidence rates in Morogoro Municipality. The study employed both secondary (cholera cases) and primary (geographic coordinates of community risk factors) data. Spatial lag model was applied in examining association between the variables. All wards of Morogoro Municipality were considered in the study to capture their variations because cholera cases have a tendency to be clustered. Results indicated that market density, distance to the market and distance to the dumpster are significant factors associated with cholera incidence rates in the wards (p < 0.05). Geographically weighted Poisson model was used to show the variations of those factors between the wards in Municipality. A statistically significant positive association of cholera incidence rates; and market density was only found in Mazimbu ward (p < 0.05) and distance from the community to the dumpster was found in Kihonda, Kingolwira, Bigwa, Kichangani, Kilakala and Boma wards (p < 0.001) and some wards at the centre of the municipality which are Mji Mkuu and Kingo (p < 0.05). A statistically significant negative association of cholera incidence rates and distance from the centre of the community to the market was found in Kihonda, Kingolwira and Kichangani (p < 0.001) and Bigwa wards (p < 0.05). Therefore, measures taken to control and prevent cholera disease should base on the variations of the risk factors found in the Municipal wards. Keywords: Cholera incidence rate; Spatial lag regression model; Community risk factor; Geographically weighted Poisson model

Outdoor Recreationists’ Perceptions of Risk, Agency Trust, and Visitor Capacities During the COVID-19 Pandemic

For nearly a century in the United States, visitor capacities have served as a means of preserving resources and the visitor experience on public lands. The COVID-19 pandemic resulted in increased interest in implementing visitor capacities that could potentially limit use on public lands, suggesting a need to understand public support for their use in a timely manner. Risk and trust have been used in previous research concerning support for natural resource and outdoor recreation decision-making. Research in this realm includes investigation at the intersection of outdoor recreation and public health, specific to chronic wasting disease. Following this previous research, this study utilizes the constructs of risk and trust to examine support for visitor capacities that could potentially limit use during the COVID-19 pandemic. Specifically, this theory-driven research relies on the cultural theory of risk and social trust theory. Using structural equation modeling and a sample of avid outdoor enthusiasts, we examine how well 1) perceived individual risk, 2) perceived community risk, 3) trust in public health agencies, and 4) trust in public land agencies predict support for visitor capacities that could potentially limit use. An email-distributed online survey was available for 48 hours beginning on April 30, 2020—during the first wave of the COVID-19 pandemic in the United States. Measurement of perceived risk and trust followed previous research relating to outdoor recreation and public health. Results indicate that outdoor enthusiasts are concerned about their individual and community health and reported higher levels of trust in data coming directly from public health agencies as opposed to state or federal land management agencies. Additionally, perceived individual risk and perceived community risk were significant predictors of support for visitor capacities. These findings can be used to improve the effectiveness of messaging intended to connect perceived risk to the management of parks and protected areas, thus providing credibility to management actions implemented during the pandemic. Additional implications from this research include the need for additional research examining support for management actions that could potentially limit use on public lands, the multidimensionality of trust in outdoor recreation, and individual risk in frontcountry outdoor recreation settings.