SARS/CoV-2: Behavioral Host Manipulation.

INTRODUCTION: Though it has not been extensively studied, host manipulation has been documented for various pathogens. Examples of this phenomenon can be seen in cases of toxoplasmosis, rabies, and the influenza virus. An examination of the possible means by which SARS/CoV-2 alters the behavior of its host to spread among populations is elaborated. Indirect evidence that serves as indicators of this phenomenon is presented. METHODS: This is primarily a theoretical document. Many of the ideas raised are not amenable to direct testing due to ethical concerns. However, several indirect means by which to test the hypothesis are discussed. Primary data from cell phones regarding miles traveled, number of times leaving home, etc., are among the possible indirect measures. RESULTS: The rapid ability of the SARS/CoV-2 virus to spread through society suggests that it may cause behavioral changes of the host to increase its transmission. Numerous cases of super spreader events are noted that have provided meaningful measures of host manipulation. CONCLUSION: In the case of SARS/CoV-2, the largest advantage of the pathogen is likely that between 50% and 70% of those infected are asymptomatic (John's Hopkins Coronavirus Resource Center, John's Hopkins University Corona Virus Resource Center. Available at https://coronavirus.jhu.edu/map.html , 2020). This component is a threat to elderly individuals and those immunocompromised who are more likely to have severe complications from the virus and die. To spread within these groups, a seemingly healthy host is necessary to carry the virus to them. The goal of the virus is not to kill the host, but to survive and reproduce.

Association Between Awareness, Perceived Severity, and Behavioral Control of COVID -19 With Self-Care and Anxiety in Pregnancy: A Cross-Sectional Study.

COVID-19 pandemic has caused a tidal wave of anxiety and stress among Iranians, especially pregnant women. This study aimed to assess the association between knowledge, perceived severity, and controllability of COVID-19 with self-care and health anxiety specially in pregnancy. This cross-sectional study was performed on 440 pregnant women. Data were collected using demographic-obstetrics characteristics, as well as the questionnaires of knowledge, perceived severity, and perceived controllability of the COVID-19, health anxiety, and self-care. Self-care was positively correlated with knowledge, perceived severity, and perceived controllability of the COVID-19. Nonetheless, health anxiety had a significant and inverse association with knowledge and perceived controllability, while there was a positive and significant correlation between perceived severity and health anxiety. Based on linear regression, three variables of knowledge, perceived severity, and perceived controllability of the COVID-19 could explain 46.3 and 17.5% of variations in self-care and health anxiety, respectively. It is suggested that due to the critical importance of prenatal care, managers, and health-care providers promote the use of such methods as telehealth and home-based caregivers, especially in areas with inadequate access to health care. So, the pregnant women can be followed up and receive medical care devoid of any stress and anxiety.

Intention to get COVID-19 vaccines: Exploring the role of attitudes, subjective norms, perceived behavioral control, belief in COVID-19 misinformation, and vaccine confidence in Northern India.

This study examines people's intention to get COVID-19 vaccines and some of the psychological factors, that can facilitate the vaccination process. Using the theory of planned behavior (TPB) as a theoretical framework, we hypothesized that the key constructs of TPB (attitudes, subjective norms and perceived behavioral control) would explain people's intention to get COVID-19 vaccines. Belief in COVID-19-related misinformation and vaccine confidence were added to the TPB framework in order to comprehensively assess the predictors of COVID-19 vaccine intentions. Data was collected from 400 Indian respondents electronically during Feb-March, 2021. Hierarchical regression analysis was used to analyze the data. The Three components of TPB collectively explained 41% of the variance in the intention to get COVID-19 vaccines. Belief in COVID-19-related misinformation and vaccine confidence, on the other hand, had no significant impact on the intention to get COVID-19 vaccines. We discuss the theoretical and practical implications of these results.

Impact of Vax-a-Million Lottery on COVID-19 Vaccination Rates in Ohio.

BACKGROUND: A decrease in coronavirus disease 2019 (COVID-19) vaccination rates has led some states to consider various incentives to boost demand for vaccines. On May 13, 2021, Ohio announced a free weekly lottery for individuals who received at least 1 COVID-19 vaccination. This study seeks to rigorously quantify the impact of Ohio's vaccination lottery. METHODS: A synthetic control consisting of a weighted combination of other states was used to approximate the demographic characteristics, new cases, and vaccination rates in Ohio prior to the lottery announcement. The difference in vaccination rates in Ohio and the synthetic control following the lottery announcement was then used to estimate the lottery's impact. RESULTS: Prior to the lottery announcement, Ohio and synthetic Ohio had similar demographic characteristics and new case rates. Ohio and synthetic Ohio also had identical first vaccination rates. By the final lottery enrollment date of June 20, the percentage of the population with first vaccinations increased to 47.41% in Ohio and 46.43% in synthetic Ohio for a difference of 0.98% (95% confidence interval [CI] 0.42-1.54). CONCLUSION: An additional 114,553 Ohioans received vaccinations as a result of the Vax-a-Million program (95% CI 49,094-180,012) at a cost of approximately $49 per Ohioan vaccinated (95% CI $31-$114). However, a majority of Ohioans remained unvaccinated by the end of the lottery, indicating that additional efforts are needed to address barriers to vaccination. This synthetic control approach may also be useful to evaluate other COVID-19 incentive programs.

Preventive Behaviors During the COVID-19 Pandemic: Associations With Perceived Behavioral Control, Attitudes, and Subjective Norm.

Background: The coronavirus disease 2019 (COVID-19) is a highly contagious and potentially fatal infectious disease that has swept the globe. To reduce the spread, it is important to engage in preventive behaviors recommended by health authorities, such as washing your hands, wearing a face mask, and social distancing. Aim: In the present study, we draw from the Theory of Planned Behavior (TPB) to examine the associations between perceived behavioral control, attitudes, and subjective norm and whether people engage in eight different preventive behaviors. Methods: For each of the preventive behaviors (washing hands; using hand sanitizer; not touching your face; social distancing; wearing a face mask; disinfecting surfaces; coughing in your elbow; staying home if sick), we conducted separate logistic regressions predicting whether the participants (N = 2,256; age range = 1898 years) reported engaging in the behavior from their perceived behavioral control, attitudes, and subjective norm. Results: We found that perceived behavioral control, attitudes, and subjective norm had independent significant associations with each preventive behavior. Moderation analyses revealed that for most behaviors the associations with perceived behavioral control were stronger for older adults than for younger adults. Limitation: The present study was cross-sectional; future longitudinal studies and interventions are needed to disentangle directionality. Conclusion: Our findings suggest several ways to increase adherence to health behaviors that reduce the spread of coronavirus and other infectious diseases.

Behavioral manipulation-key to the successful global spread of the new coronavirus SARS-CoV-2?

Human-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) interaction can have an array of various outcomes-it could be mortal, morbid or merely carrying minor health consequences. The very rapid global spread has raised the issue whether there are further multi-dimensional consequences of SARS-CoV-2 infection on human behavior, the key of its transmission. During the coronavirus crisis, odd, abnormal, and irresponsible behavior has been reported in coronavirus disease 2019 (COVID-19) individuals, particularly in super-spreaders, that is, persons with a high viral load, thus constituting also super-emitters. Indeed, cases of infected persons ignoring self-confinement orders, intentionally disregarding physical distancing and multiplying social interactions, or even deliberately sneezing, spitting or coughing were reported. While it is known that some other viruses, such as rabies and even influenza do change human behavior, this remains unclear for SARS-CoV-2. In this perspective, we highlight the possibility that COVID-19 is facilitated by altered human social behavior that benefits SARS-CoV-2 transmission, through showcasing similar virus-induced changed behavior by other pathogens and relating this to reports from the gray literature.

Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic.

It is puzzling why countries do not all implement stringent behavioral control measures to prevent the spread of COVID-19 even though preventive behaviors have been proven to be the only effective means to stop the pandemic. We provide a novel evolutionary life history explanation whereby pathogenic and parasitic prevalence represents intrinsic rather than extrinsic mortality risk that drives slower life history strategies and the related disease control motivation in all animals but especially humans. Our theory was tested and supported based on publicly available data involving over 150 countries. Countries having a higher historical prevalence of infectious diseases are found to adopt slower life history strategies that are related to prompter COVID-19 containment actions by the government and greater compliance by the population. Findings could afford governments novel insight into the design of more effective COVID-19 strategies that are based on enhancing a sense of control, vigilance, and compliance in the general population.

COVID-19: A systematic evaluation of personal protective equipment (PPE) performance during restraint.

BACKGROUND: Restraint is widely practised within inpatient mental health services and is considered a higher-risk procedure for patients and staff. There is a sparsity of evidence in respect of the efficacy of personal protective equipment (PPE) used during restraint for reducing risk of infection. METHODS: A series of choreographed restraint episodes were used to simulate contact contamination in research participants playing the roles of staff members and a patient. For comparison, one episode of simulated recording of physical observations was taken. Ultraviolet (UV) fluorescent material was used to track the simulated contact contamination, with analysis undertaken using established image registration techniques of UV photographs. This was repeated for three separate sets of PPE. RESULTS: All three PPE sets showed similar performance in protecting against contamination transfer. For teams not utilising coveralls, this was dependent upon effective cleansing as part of doffing. There were similar patterns of contamination for restraint team members assigned to specific roles, with hands and upper torso appearing to be higher-risk areas. The restraint-related contamination was 23 times higher than that observed for physical observations. DISCUSSION: A second layer of clothing that can be removed showed efficacy in reducing contact contamination. PPE fit to individual is important. Post-restraint cleansing procedures are currently inadequate, with new procedures for face and neck cleansing required. These findings leave scope for staff to potentially improve their appearance when donning PPE and engaging with distressed patients.

National Institutes of Health social and behavioral research in response to the SARS-CoV2 Pandemic.

The COVID-19 pandemic has been mitigated primarily using social and behavioral intervention strategies, and these strategies have social and economic impacts, as well as potential downstream health impacts that require further study. Digital and community-based interventions are being increasingly relied upon to address these health impacts and bridge the gap in health care access despite insufficient research of these interventions as a replacement for, not an adjunct to, in-person clinical care. As SARS-CoV-2 testing expands, research on encouraging uptake and appropriate interpretation of these test results is needed. All of these issues are disproportionately impacting underserved, vulnerable, and health disparities populations. This commentary describes the various initiatives of the National Institutes of Health to address these social, behavioral, economic, and health disparities impacts of the pandemic, the findings from which can improve our response to the current pandemic and prepare us better for future infectious disease outbreaks.