Community Assessment for Public Health Emergency Response (CASPER) following Hurricane Michael: Gadsden, Calhoun, and Jackson Counties, Florida, 2020.

OBJECTIVES: To assess community preparedness and ongoing recovery efforts in the rural counties most severely impacted by Hurricane Michael, including structural and economic losses, injury and illness, healthcare access, and suicide risk and ideation. DESIGN: The Florida Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in January 2020, 15 months after Hurricane Michael made landfall in October 2018. SETTING: A total of 30 clusters were randomly selected from three rural counties in the Panhandle of Florida, including Jackson (15 clusters), Gadsden (11), and Calhoun (four) counties. PARTICIPANTS: A total of 185 face-to-face and two phone interviews were conducted with residents 18 years of age or older. MAIN OUTCOME MEASURE: Hurricane preparedness, structural and economic losses, access to care, and physical and mental health. RESULTS: Around 43 percent of respondents evacuated as a result of Hurricane Michael, and at least two-thirds of all respondents reported having an emergency supply kit and enough nonperishable food, water, and medication. Structural damage was extensive with 63 percent reporting home damage, averaging over $32,000. Few injuries or illnesses were reported post-landfall (9 percent), with the most common being minor injuries and bacterial infections. Most respondents reported continued access to healthcare if needed. The most common stress-related issues reported were difficulty sleeping (19 percent) and agitated behaviors (10 percent). Seven percent of respondents reported being at moderate to high risk for suicide. CONCLUSIONS: Rural areas may lack resources, such as healthcare facilities, skilled workers, and supplies, that hinder their ability to recover from storms when compared to more urban counties. Many residents reported that 15 months after the storm, their homes were still not fully repaired. A majority of residents were prepared with adequate supplies, had minimal disruption in employment or healthcare access, and had few illnesses or injuries during the storm or the recovery efforts.

Community Assessment for Public Health Emergency Response (CASPER) Following Hurricane Michael, Bay and Gulf Counties, Florida, 2019.

CONTEXT: On October 10, 2018, Hurricane Michael made landfall near Mexico Beach, Florida, as one of the strongest storms on record to hit the US mainland. Hurricane Michael brought strong winds, heavy rain, and life-threatening storm surge, causing extensive damage across the Florida Panhandle. OBJECTIVES: To assess community preparedness and effects experienced by Panhandle residents, including structural and economic losses, injury and illness, health care access, and suicide risk and ideation in the counties most severely impacted by Hurricane Michael. DESIGN: The Florida Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in October and November 2019, a year after Hurricane Michael made landfall. CASPER is a 2-stage cluster sampling method designed to provide household-level information about a community's needs in a timely, inexpensive, and representative manner. SETTING: A total of 30 clusters were randomly selected from Bay and Gulf Counties, Florida. PARTICIPANTS: In total, 178 face-to-face interviews were completed with adult residents 18 years or older. MAIN OUTCOME MEASURES: Hurricane-related impacts, including structural and economic losses, injury and illness, health care access; and mental health. RESULTS: Almost half of respondents did not evacuate despite mandatory evacuation orders. Most houses (78.1%) received some damage, with more than half still not repaired 1 year later. Access to emergency supply kits, water, nonperishable foods, medications, and health care was common, though many reported needing supplies not included in their kit. Less than half reported having working household carbon monoxide detectors. Injuries and illnesses associated with the hurricane were uncommon; however, anxiety, depression, and insomnia were reported as occurring or worsening by more than one-third of respondents posthurricane. CONCLUSIONS: Increased education and communication regarding hurricane preparedness and recovery, which include clearer messaging on evacuation, improving emergency supply kits, importance of carbon monoxide detectors, and proper generator use, could enhance the safety of the community.

Autonomic arousal tracks outcome salience not valence in monkeys making social decisions.

The evolutionary and neural underpinnings of human prosociality are still being identified. A growing body of evidence suggests that some species find the sight of another individual receiving a reward reinforcing, called vicarious reinforcement, and that this capacity is supported by a network of brain areas including the anterior cingulate cortex (ACC) and the amygdala. At the same time, analyses of autonomic arousal have been increasingly used to contextualize and guide neural research, especially for studies of reward processing. Here, we characterized the autonomic pupil response of eight monkeys across two laboratories in two different versions of a vicarious reinforcement paradigm. Monkeys were cued as to whether an upcoming reward would be delivered to them, another monkey, or nobody and could accept or decline the offer. As expected, all monkeys in both laboratories showed a marked preference for juice to the self, together with a reliable prosocial preference for juice to a social partner compared to juice to nobody. However, contrary to our expectations, we found that pupils were widest in anticipation of juice to the self, moderately sized in anticipation of juice to nobody, and narrowest in anticipation of juice to a social partner. This effect was seen across both laboratories and regardless of specific task parameters. The seemingly paradoxical pupil effect can be explained by a model in which pupil size tracks outcome salience, prosocial tendencies track outcome valence, and the relation between salience and valence is U-shaped. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Florida neighborhood analysis of social determinants and their relationship to life expectancy.

BACKGROUND: Social determinants of health (SDOH) contribute to unequal life expectancy (LE). Only a handful of papers have analyzed these relationships at the neighborhood level as opposed to the county level. This study draws on both the SDOH and social vulnerability literature to identify relevant factors affecting LE. METHODS: LE was calculated from mortality records for Florida from 2009 to 2013 for 3640 census tracts with reliable estimates. A spatial Durbin error model (SDEM) quantified the direction and magnitude of the factors to LE. The SDEM contains a spatial error term and jointly estimates both local and neighborhood associations. This methodology controls for non-independence between census tracts to provide unbiased statistical estimates. RESULTS: Factors significantly related to an increase in LE, include percentage (%) of the population who identify as Hispanic (beta coefficient [ß]: 0.06, p-value [P] < 0.001) and % of age dependent populations (% population < 5 years old and % population > 65) (ß: 0.13, P < 0.001). Conversely, the following factors exhibited significant negative LE associations, % of households with no automobile (ß: -0.05, P < 0.001), % of mobile homes (ß: -0.02, P < 0.001), and % of female headed households (ß: -0.11, P < 0.001). CONCLUSIONS: Results from the SDEM demonstrate social vulnerability indicators account for additional geographic LE variability beyond commonly studied SDOH. Empirical findings from this analysis can help local health departments identify drivers of spatial health disparities at the local level.

Social learning through prediction error in the brain.

Learning about the world is critical to survival and success. In social animals, learning about others is a necessary component of navigating the social world, ultimately contributing to increasing evolutionary fitness. How humans and nonhuman animals represent the internal states and experiences of others has long been a subject of intense interest in the developmental psychology tradition, and, more recently, in studies of learning and decision making involving self and other. In this review, we explore how psychology conceptualizes the process of representing others, and how neuroscience has uncovered correlates of reinforcement learning signals to explore the neural mechanisms underlying social learning from the perspective of representing reward-related information about self and other. In particular, we discuss self-referenced and other-referenced types of reward prediction errors across multiple brain structures that effectively allow reinforcement learning algorithms to mediate social learning. Prediction-based computational principles in the brain may be strikingly conserved between self-referenced and other-referenced information.