The seroprevalence of SARS-CoV-2 in a rural southwest community.

Context: The true prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has been difficult to determine due to limited testing, inconsistent symptom severity, and asymptomatic infections. Systematic investigation of the prevalence of SARS-CoV-2 has been limited to urban environments and large academic centers. Limited data on the seroprevalence of SARS-CoV-2 is available for those who live in a rural community setting, leaving rural practitioners to extrapolate the epidemiology of COVID-19 to a nonhomogeneous population. Objective: To determine the seroprevalence of SARS-CoV-2 in a community setting. The secondary objective of this study was to describe the difference in infection rate and reverse transcription polymerase chain reaction (RT-PCR) testing in the same rural community. Methods: A prospective convenience sample of community members and healthcare workers from the Kingman, Arizona area were tested for SARS-CoV-2-specific antibodies using a lateral flow immunoassay with the VITROS Anti-SARS-CoV-2 IgG test (Ortho-Clinical Diagnostics, Inc.) from September 28, 2020 to October 09, 2020. Upon recruitment, participants were asked to complete a demographic survey assessing socioeconomic status, comorbidities, and COVID-19 symptoms in the preceding two months. Following enrollment, a retrospective chart review was completed to determine the percentage of patients who had undergone previous SARS-CoV-RT-PCR testing. Results: A total of 566 participants were included in the final analysis: 380 (67.1%) were women, 186 (32.9%) were men, a majority (458; 80.9%) self-identified as White, and 303 (53.5%) were employed as healthcare professionals. Seroprevalence of SARS-CoV-2 was found to be 8.0% (45 of 566) across the sample and 9.9% (30 of 303) in healthcare workers. No statistical difference in seroprevalence was found between men and women, healthcare workers and other participants, amongst racial groups, by socioeconomic status, by comorbid conditions, or by education level. Among the participants, 108 (19.1%) underwent previous RT-PCR testing. Of the 45 patients who were antibody positive, 27 (60%) had received a previous RT-PCR test, with 20 (44.4%) testing positive for SARS-CoV-2. Participants with symptoms of anosmia/ageusia (p<0.001), chest congestion (p=0.047), fever (p=0.007), and shortness of breath (p=0.002) within the past two months were more likely to have antibodies to SARS-CoV-2. Conclusion: Only 8% of 566 participants in this rural community setting were found to have antibodies for SARS-CoV-2. A large minority (18; 40%) of patients testing seropositive for SARs-CoV-2 had never received a prior test, suggesting that the actual rates of infection are higher than publicly available data suggest. Further large-scale antibody testing is needed to determine the true prevalence of SARS-CoV-2 in the rural setting.

Using Behavior Sequence Analysis to Map Serial Killers' Life Histories.

The aim of the current research was to provide a novel method for mapping the developmental sequences of serial killers' life histories. An in-depth biographical account of serial killers' lives, from birth through to conviction, was gained and analyzed using Behavior Sequence Analysis. The analyses highlight similarities in behavioral events across the serial killers' lives, indicating not only which risk factors occur, but the temporal order of these factors. Results focused on early childhood environment, indicating the role of parental abuse; behaviors and events surrounding criminal histories of serial killers, showing that many had previous convictions and were known to police for other crimes; behaviors surrounding their murders, highlighting differences in victim choice and modus operandi; and, finally, trial pleas and convictions. The present research, therefore, provides a novel approach to synthesizing large volumes of data on criminals and presenting results in accessible, understandable outcomes.

A Behaviour Sequence Analysis of Serial Killers' Lives: From Childhood Abuse to Methods of Murder.

The aim of the current research was to provide a new method for mapping the developmental sequences of serial killers' life histories. The role of early childhood abuse, leading to types of serial murder and behaviours involved in the murders, was analysed using Behaviour Sequence Analysis. A large database (n = 233) of male serial killers with known childhood abuse (physical, sexual, or psychological) was analysed according to typologies and crime scene behaviours. Behaviour Sequence Analysis was used to show significant links between behaviours and events across their lifetime. Sexual, physical, and psychological abuse often led to distinct crime scene behaviours. The results provide individual accounts of abuse types and behaviours. The present research highlights the importance of childhood abuse as a risk factor for serial killers' behaviours, and provides a novel and important advance in profiling serial killers and understanding the sequential progression of their life histories.

The Perfect Storm: Mapping the Life Course Trajectories of Serial Killers.

Since the 1970s, scholars have produced a large body of research attempting to establish the mechanisms by which sexual serial killers come to arrive at a life of repeat fatal violence. From the standpoint of developmental psychology, however, the explanations offered are far too limited in scope. Human development is the product of complex reciprocal transactions that occur between an individual and their environment throughout their life span. This present study is meant to encourage a critical reconsideration of past knowledge (mainly static traits) in favor of the recognition of the complexity of human development. Using life span developmental psychology as a guiding framework, this study traces the developmental mechanisms that come together to shape the psychopathology that drives the motivations of sexual serial killers.