Secondhand smoke and smoking restrictions in casinos: a review of the evidence.

OBJECTIVE: There is no safe level of secondhand smoke (SHS) exposure. Most US casinos continue to allow smoking, thus exposing workers and patrons to the hazards of SHS. This paper reviews the scientific literature on air quality, SHS exposure, health effects and economic outcomes related to SHS and smoking restrictions in casinos, as well as on smoking prevalence among casino patrons and problem gamblers. DATA SOURCES: Peer reviewed studies published from January 1998 to March 2011. DATA SYNTHESIS: Evidence from air quality, biomarker and survey studies indicates that smoking in casinos is a significant public health problem. Workers and patrons in casinos that allow smoking are exposed to high levels of SHS, as documented by elevated levels of SHS constituents in the air of casinos and by elevated levels of tobacco-specific biomarkers in non-smokers' blood, urine and saliva. Partial smoking restrictions in casinos do not effectively protect non-smokers from SHS. Findings suggest that the smoking prevalence of casino patrons is comparable with that of the general public, although this prevalence may be higher among problem gamblers. Few studies have examined the economic impact of smoke-free policies in casinos, and the results of these studies are mixed. CONCLUSIONS: Employees and patrons are exposed to SHS in casinos, posing a significant, preventable risk to their health. Policies completely prohibiting smoking in casinos would be expected to greatly reduce or eliminate SHS exposure in casinos, thereby protecting the health of casino workers and patrons.

Looking Ahead in the Rearview Mirror: During Action Review and Tabletop (DART) to Strengthen Health Emergency Readiness and Resiliency.

During health emergencies, such as the COVID-19 pandemic, systematic evaluation of capabilities, and multisector coordination are challenging while operating in triage mode. During Action Review and Tabletop (DART) identifies recommendations for strengthening readiness and resiliency by creating a single methodology integrating retrospective analysis of the response to date with a prospective analysis of future scenarios. DART utilizes a role-based questionnaire and participant-led discussion for retrospective response review and identification of future scenarios of concern. Tabletop exercises exploring those future scenarios are conducted in a multi-role format to assess readiness and resiliency. Participants evaluate findings to determine recommended actions to improve response capabilities. 3 COVID-19 focused DARTs demonstrated the ability of this participant-led approach to systematically assess, not only readiness for today, but also resiliency to future complications. While demonstrating its usefulness during COVID-19, DART's flexible and modular design promises to be an effective for any ongoing health emergency.

Review of Israel's action and response during the COVID-19 pandemic and tabletop exercise for the evaluation of readiness and resilience-lessons learned 2020-2021.

Background: Reevaluating response plans is essential to ensuring consistent readiness and resilience to the COVID-19 pandemic. The "During Action Review" and Tabletop (DART) methodology provides a retrospective and prospective assessment to inform the adaptive response. Israel introduced COVID-19 vaccinations in December 2020 and was the first country to implement booster vaccination to address waning immunity and surges caused by new variants. We assessed Israel's readiness and resilience related to COVID-19 response while capturing the pre-vaccination and vaccination periods. Methods: A DART analysis was conducted between December 2020 and August 2021 among experts involved in the management of the COVID-19 pandemic in Israel. During the retrospective stage, a role-based questionnaire and discussions were undertaken in a participant-led review of the response, focusing on epidemiology and surveillance, risk communication, and vaccines. The prospective stage included tabletop exercises to evaluate short to long-term simulated scenarios. Results: Participants emphasized the pivotal role of Israel globally by sharing experiences with the pandemic, and vaccination. Perceived strengths included multi-sectoral collaboration between the Ministry of Health, healthcare providers, academia, military, and others, stretching capacities, expanding laboratory workload, and establishing/maintaining surveillance. The vaccine prioritization plan and strong infrastructure, including computerized databases, enabled real-life assessment of vaccine uptake and impact. Challenges included the need to change case definitions early on and insufficient staffing. Quarantine of patients and contacts was particularly challenging among underprivileged communities. Risk communication approaches need to focus more on creating norms in behavior. Trust issues and limited cooperation were noted, especially among ethnic and religious minorities. To ensure readiness and resiliency, participants recommended establishing a nationally deployed system for bringing in and acting upon feedback from the field, especially concerning risk communication and vaccines. Conclusion: Our study appraised strengths and weaknesses of the COVID-19 pandemic response in Israel and led to concrete recommendations for adjusting responses and future similar events. An efficient response comprised multi-sectoral collaboration, policy design, infrastructure, care delivery, and mitigation measures, including vaccines, while risk communication, trust issues, and limited cooperation with minority groups were perceived as areas for action and intervention.

Application of multi-criteria decision analysis techniques and decision support framework for informing plant select agent designation and decision making.

The United States Department of Agriculture (USDA) Division of Agricultural Select Agents and Toxins (DASAT) established a list of biological agents (Select Agents List) that threaten crops of economic importance to the United States and regulates the procedures governing containment, incident response, and the security of entities working with them. Every 2 years the USDA DASAT reviews their select agent list, utilizing assessments by subject matter experts (SMEs) to rank the agents. We explored the applicability of multi-criteria decision analysis (MCDA) techniques and a decision support framework (DSF) to support the USDA DASAT biennial review process. The evaluation includes both current and non-select agents to provide a robust assessment. We initially conducted a literature review of 16 pathogens against 9 criteria for assessing plant health and bioterrorism risk and documented the findings to support this analysis. Technical review of published data and associated scoring recommendations by pathogen-specific SMEs was found to be critical for ensuring accuracy. Scoring criteria were adopted to ensure consistency. The MCDA supported the expectation that select agents would rank high on the relative risk scale when considering the agricultural consequences of a bioterrorism attack; however, application of analytical thresholds as a basis for designating select agents led to some exceptions to current designations. A second analytical approach used agent-specific data to designate key criteria in a DSF logic tree format to identify pathogens of low concern that can be ruled out for further consideration as select agents. Both the MCDA and DSF approaches arrived at similar conclusions, suggesting the value of employing the two analytical approaches to add robustness for decision making.

Application of multi-criteria decision analysis techniques and decision support framework for informing select agent designation for agricultural animal pathogens.

The United States Department of Agriculture (USDA), Division of Agricultural Select Agents and Toxins (DASAT) established a list of biological agents and toxins (Select Agent List) that potentially threaten agricultural health and safety, the procedures governing the transfer of those agents, and training requirements for entities working with them. Every 2 years the USDA DASAT reviews the Select Agent List, using subject matter experts (SMEs) to perform an assessment and rank the agents. To assist the USDA DASAT biennial review process, we explored the applicability of multi-criteria decision analysis (MCDA) techniques and a Decision Support Framework (DSF) in a logic tree format to identify pathogens for consideration as select agents, applying the approach broadly to include non-select agents to evaluate its robustness and generality. We conducted a literature review of 41 pathogens against 21 criteria for assessing agricultural threat, economic impact, and bioterrorism risk and documented the findings to support this assessment. The most prominent data gaps were those for aerosol stability and animal infectious dose by inhalation and ingestion routes. Technical review of published data and associated scoring recommendations by pathogen-specific SMEs was found to be critical for accuracy, particularly for pathogens with very few known cases, or where proxy data (e.g., from animal models or similar organisms) were used to address data gaps. The MCDA analysis supported the intuitive sense that select agents should rank high on the relative risk scale when considering agricultural health consequences of a bioterrorism attack. However, comparing select agents with non-select agents indicated that there was not a clean break in scores to suggest thresholds for designating select agents, requiring subject matter expertise collectively to establish which analytical results were in good agreement to support the intended purpose in designating select agents. The DSF utilized a logic tree approach to identify pathogens that are of sufficiently low concern that they can be ruled out from consideration as a select agent. In contrast to the MCDA approach, the DSF rules out a pathogen if it fails to meet even one criteria threshold. Both the MCDA and DSF approaches arrived at similar conclusions, suggesting the value of employing the two analytical approaches to add robustness for decision making.

The Landscape of Participatory Surveillance Systems Across the One Health Spectrum: Systematic Review.

BACKGROUND: Participatory surveillance systems augment traditional surveillance systems through bidirectional community engagement. The digital platform evolution has enabled the expansion of participatory surveillance systems, globally, for the detection of health events impacting people, animals, plants, and the environment, in other words, across the entire One Health spectrum. OBJECTIVE: The aim of this landscape was to identify and provide descriptive information regarding system focus, geography, users, technology, information shared, and perceived impact of ongoing participatory surveillance systems across the One Health spectrum. METHODS: This landscape began with a systematic literature review to identify potential ongoing participatory surveillance systems. A survey was sent to collect standardized data from the contacts of systems identified in the literature review and through direct outreach to stakeholders, experts, and professional organizations. Descriptive analyses of survey and literature review results were conducted across the programs. RESULTS: The landscape identified 60 ongoing single-sector and multisector participatory surveillance systems spanning five continents. Of these, 29 (48%) include data on human health, 26 (43%) include data on environmental health, and 24 (40%) include data on animal health. In total, 16 (27%) systems are multisectoral; of these, 9 (56%) collect animal and environmental health data; 3 (19%) collect human, animal, and environmental health data; 2 (13%) collect human and environmental health data; and 2 (13%) collect human and animal health data. Out of 60 systems, 31 (52%) are designed to cover a national scale, compared to those with a subnational (n=19, 32%) or multinational (n=10, 17%) focus. All systems use some form of digital technology. Email communication or websites (n=40, 67%) and smartphones (n=29, 48%) are the most common technologies used, with some using both. Systems have capabilities to download geolocation data (n=31, 52%), photographs (n=29, 48%), and videos (n=6, 10%), and can incorporate lab data or sample collection (n=15, 25%). In sharing information back with users, most use visualization, such as maps (n=43, 72%); training and educational materials (n=37, 62%); newsletters, blogs, and emails (n=34, 57%); and disease prevention information (n=32, 53%). Out of the 46 systems responding to the survey regarding perceived impacts of their systems, 36 (78%) noted "improved community knowledge and understanding" and 31 (67%) noted "earlier detection." CONCLUSIONS: The landscape demonstrated the breadth of applicability of participatory surveillance around the world to collect data from community members and trained volunteers in order to inform the detection of events, from invasive plant pests to weekly influenza symptoms. Acknowledging the importance of bidirectionality of information, these systems simultaneously share findings back with the users. Such directly engaged community detection systems capture events early and provide opportunities to stop outbreaks quickly.

Healthful Nutrition of Foods in Navajo Nation Stores: Availability and Pricing.

PURPOSE: Low availability and affordability of healthier foods in food stores on the Navajo Nation (NN) may be a community-level risk factor for the high prevalence of obesity among the Navajo people. This study assessed the availability and pricing of foods and beverages in supermarkets and convenience stores throughout the NN. DESIGN: Descriptive study design using the Nutrition Environment Measurement Survey in Stores audit tool. SETTING: Supermarkets (n = 13) and convenience stores (n = 50) on NN and border-town supermarkets (n = 9). SUBJECTS: Not applicable. MEASURES: Availability and pricing of healthy and less-healthy foods. ANALYSIS: Descriptive and χ(2) analyses. RESULTS: Navajo convenience stores offered fewer healthier food options compared to Navajo supermarkets. In Navajo convenience stores, 100% whole grain products, reduced-fat cheese, lean meats, reduced-fat chips, and fat-free or light hot dogs were available in fewer stores than their corresponding less-healthy versions (all with p < .05). In both Navajo supermarkets and convenience stores, 100% whole wheat bread, lean cold cuts, and reduced-fat cheese were all more expensive per unit than their corresponding less-healthy versions (all with p < .05). CONCLUSIONS: According to this study, healthier foods are not as readily available in Navajo convenience stores as they are in Navajo supermarkets. Improving access to and affordability of healthier foods in reservation stores of all sizes may support healthy eating among Navajo residents.

Multistate outbreak of human Salmonella Typhimurium infections linked to live poultry from agricultural feed stores and mail-order hatcheries, United States 2013.

Live poultry-associated salmonellosis is an emerging public health issue in the United States. Public and animal health officials collaborated to investigate one of the largest (356 cases, 39 states) of these outbreaks reported to date. A case was defined as illness in a person infected with the outbreak strain of Salmonella Typhimurium with illness onset between 1 March and 22 October 2013. The median patient age was seven years (range: < 1-87 years); 58% of ill persons were children ≤ 10 years, 51% were female, 25% were hospitalized; 189 (76%) of 250 patients reported live poultry exposure in the week before illness; and 149 (95%) of 157 reported purchasing live poultry from agricultural feed stores. Traceback investigations identified 18 live poultry sources, including 16 mail-order hatcheries. Environmental sampling was conducted at two mail-order hatcheries. One (2.5%) of 40 duplicate samples collected at one hatchery yielded the outbreak strain. Live poultry are an important source of human salmonellosis, particularly among children, highlighting the need for educational campaigns and comprehensive interventions at the mail-order hatchery and agricultural feed store levels. Prevention and control efforts depend on a One Health approach, involving cooperation between public and animal health officials, industry, health professionals, and consumers.

Demographic trends of sick leave absenteeism among civil service employees at a federal agency from 2004 to 2012.

OBJECTIVE: To investigate the associations between demographic variables and sick leave use. METHODS: We analyzed sick leave use among civil servants at a federal agency (FA) from 2004 to 2012 by demographic and FA-specific variables. We used a mixed methods approach and type III analysis to build a descriptive model of sick leave proportions and demographic variables. RESULTS: Sick absenteeism usage varied significantly (variation of greater than one sick day per year) by sex, Emergency Operations Center response tier, length of service at the FA, age, and general schedule pay grade level. Our final descriptive model contained age, sex, response tier and an interaction term between age and sex. CONCLUSIONS: Future studies should examine these associations on smaller time scales, perhaps breaking the data down by month or day of the week.

Community rabies knowledge and pet vaccination practices after a skunk rabies outbreak in Eddy County, New Mexico.

OBJECTIVE: To determine percentages of domestic cats and dogs vaccinated against rabies, identify barriers to vaccination, and assess knowledge about rabies in a semirural New Mexico community after a skunk rabies outbreak. DESIGN: Cross-sectional, door-to-door, bilingual, community-based participatory survey. SAMPLE: 366 residential properties in Eddy County, NM. PROCEDURES: The New Mexico Department of Health and CDC administered surveys and analyzed data. RESULTS: Individuals at 247 of the 366 residential properties participated in the survey. One hundred eighty of the 247 (73%) households owned a dog (n = 292) or cat (163). Cats were more likely than dogs to not have an up-to-date rabies vaccination status (prevalence ratio, 3.2; 95% confidence interval, 2.3 to 4.4). Cost and time or scheduling were the most frequently identified barriers to vaccination. One hundred sixty (65%) respondents did not know livestock can transmit rabies, 78 (32%) did not know rabies is fatal, and 89 (36%) did not know a bat scratching a person can be an exposure. Only 187 (76%) respondents indicated they would contact animal control if they saw a sick skunk, and only 166 (67%) indicated they would contact animal control if bitten by a dog they did not own. CONCLUSIONS AND CLINICAL RELEVANCE: Findings indicated that rabies vaccination prevalence among pet dogs and cats was low, despite the fact that the region had experienced a skunk rabies outbreak during the previous 2 years. In addition, substantial percentages of respondents did not have correct knowledge of rabies or rabies exposure.

Predicting temporal trends in total absenteeism rates for civil service employees of a federal public health agency.

OBJECTIVE: This study evaluates the predictability in temporal absences trends due to all causes (total absenteeism) among employees at a federal agency. The objective is to determine how leave trends vary within the year, and determine whether trends are predictable. METHODS: Ten years of absenteeism data from an attendance system were analyzed for rates of total absence. RESULTS: Trends over a 10-year period followed predictable and regular patterns during a given year that correspond to major holiday periods. Temporal trends in leave among small, medium, and large facilities compared favorably with the agency as a whole. CONCLUSIONS: Temporal trends in total absenteeism rates for an organization can be determined using its attendance system. The ability to predict employee absenteeism rates can be extremely helpful for management in optimizing business performance and ensuring that an organization meets its mission.

Predicting temporal trends in sickness absence rates for civil service employees of a federal public health agency.

OBJECTIVE: To determine whether trends of sickness in employees at a federal agency are predictable, and whether the variance was minimal enough to detect unusual levels of employee illness for further investigation. METHODS: Ten years of absenteeism data from an attendance system were analyzed for rates of sickness absence. Specifically, week of year and day of week were used to describe temporal trends. RESULTS: This study evaluates the predictability in temporal absence trends due to sickness among employees at a federal agency. Trends follow regular patterns during a given year that correspond to seasonal illnesses. Temporal trends in sick leave have been proven to be very predictable. CONCLUSION: The minimal variance allows the detection of sick leave anomalies that may be ascribable to specific causes, allowing the business or agency to follow-up and develop interventions.

Cuing interacts with perceptual load in visual search.

We tested the strong form of the perceptual-load hypothesis, which posits that the amount of perceptual load is the only factor determining whether attention can be effectively focused. Participants performed a visual search task under conditions of low and high load and with either a 100% valid spatial cue or no spatial cue. With no cue, participants showed evidence of processing to-be-ignored stimuli when perceptual load was low but not when it was high, consistent with the perceptual-load hypothesis. However with a 100% valid spatial cue, participants showed little evidence of processing to-be-ignored stimuli, even when perceptual load was low. These results suggest that although perceptual load may be an important factor in attentional selectivity, load alone is not sufficient to explain how and when selective attention is effective.