Associations of Anxiety, Insomnia, and Physical Activity during the COVID-19 Pandemic.

PURPOSE: Anxiety, insomnia, and physical activity (PA) are interrelated, but the bi-directional relationships between these three variables are not well understood. Less is known of these relationships in settings of disrupted daily activities and acute stress. This study aimed to characterize and examine relationships between insomnia, anxiety, and PA throughout the first year of the COVID-19 pandemic, when many lifestyle behaviors were disrupted. METHODS: Participants comprised a convenience sample of 204 adults (55.4% female; 43.85 ± 15.85 years old) who completed the Generalized Anxiety Disorder Questionnaire (GAD-7), Insomnia Severity Index (ISI), and the International Physical Activity Questionnaire (IPAQ) at three time points through the first year of the COVID-19 pandemic. A cross-lagged panel model was used to evaluate these variables' concurrent, autoregressive, and cross-lagged relationships across time. Follow-up dynamic panel modeling using maximum likelihood and structural equation modeling was employed. RESULTS: Approximately 64% of participants reported their work/occupation as affected by the pandemic. At baseline, associations between anxiety and insomnia were observed (ß-coefficient: 15.87; p < 0.001). Insomnia was a positive future predictor of anxiety (ISI time point 2: 7.9 ± 5.6 points; GAD-7 at time point 3: 4.1 ± 4.2 points; ß-coefficient: 0.16; p < 0.01). No associations were observed between PA and anxiety or insomnia (all p > 0.05). CONCLUSIONS: Insomnia and anxiety were interrelated, and effects were cross-lagged. These data can inform future work focused on improving anxiety in settings of acute stress and disruptions to daily life, such as changes in occupational structure and stability. Specifically, targeting sleep parameters may be of interest to elicit downstream positive health behaviors.

An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting.

Objectives: Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center. Materials and methods: The return on investment (ROI) framework was used to quantify the economic impact of the expansion of eCR from the perspective of an academic health system over a 5-year time horizon. Sensitivity analyses were performed to assess key factors such as personnel cost, inflation, and number of expanded conditions. Results: The total implementation costs for the implementation year were estimated to be $5031.46. The 5-year ROI for the expansion of eCR for the 29 conditions is expected to be 142% (net present value of savings: $7166). Based on the annual ROI, estimates suggest that the savings from the expansion of eCR will cover implementation costs in approximately 4.8 years. All sensitivity analyses yielded a strong ROI for the expansion of eCR. Discussion and conclusion: Our findings suggest a strong ROI for the expansion of eCR at UHealth, with the most significant cost savings observed implementing eCR for all reportable conditions. An early effort to ensure data quality is recommended to expedite the transition from parallel reporting to production to improve the ROI for healthcare organizations. This study demonstrates a positive ROI for the expansion of eCR to additional reportable conditions beyond COVID-19 in an academic health setting, such as UHealth. While this evaluation focuses on the 5-year time horizon, the potential benefit could extend further.

Navigating the Landscape: Barriers and Facilitators in Electronic Case Reporting Implementation Across Public Health Agencies.

OBJECTIVE: The objectives were to identify barriers and facilitators for electronic case reporting (eCR) implementation associated with "organizational" and "people"-based knowledge/processes and to identify patterns across implementation stages to guide best practices for eCR implementation at public health agencies. DESIGN: This qualitative study uses semistructured interviews with key stakeholders across 6 public health agencies. This study leveraged 2 conceptual frameworks for the development of the interview guide and initial codebook and the organization of the findings of thematic analysis. SETTING: Interviews were conducted virtually with informants from public health agencies at varying stages of eCR implementation. PARTICIPANTS: Investigators aimed to enroll 3 participants from each participating public health agency, including an eCR lead, a technical lead, and a leadership informant. MAIN OUTCOME MEASURES: Patterns associated with barriers and facilitators across the eCR implementation stage. RESULTS: Twenty-eight themes were identified throughout interviews with 16 informants representing 6 public health agencies at varying stages of implementation. While there was variation across these levels, 3 distinct patterns were identified, including themes that were described (1) solely as a barrier or facilitator for eCR implementation regardless of implementation stages, (2) as a barrier for those in the early stages but evolved into a facilitator for those in later stages, and (3) as facilitators that were unique to the late-stage implementation. CONCLUSION: This study elucidated critical national, organizational, and person-centric best practices for public health agencies. These included the importance of engagement with the national eCR team, integrated development teams, cross-pollination, and developing solutions with the broader public health mission in mind. While the implementation of eCR was the focus of this study, the findings are generalizable to the broader data modernization efforts within public health agencies.

What a difference a year makes: Objective rest/activity patterns, circadian phase markers, and sleep quality before and during the COVID-19 pandemic.

OBJECTIVES: The COVID-19 pandemic led to numerous changes in sleep duration, quality, and timing. The goal of this study was to examine objective and self-reported changes in sleep and circadian timing before and during the pandemic. METHODS: Data were utilized from an ongoing longitudinal study of sleep and circadian timing with assessments at baseline and 1-year follow-up. Participants had baseline assessment between 2019 and March 2020 (before pandemic) and 12-month follow-up between September 2020 and March 2021 (during pandemic). Participants completed 7 days of wrist actigraphy, self-report questionnaires, and laboratory-collected circadian phase assessment (dim light melatonin onset). RESULTS: Actigraphy and questionnaire data were available for 18 participants (11 women and 7 men, Mean = 38.8 years, SD = 11.8). Dim light melatonin onset was available for 11 participants. Participants demonstrated statistically significant decreases in sleep efficiency (Mean = -4.11%, SD = 3.22, P = .001), worse scores on Patient-Reported Outcome Measurement Information System sleep disturbance scale (Mean increase = 4.48, SD = 6.87, P = .017), and sleep end time delay (Mean = 22.4 mins, SD = 44.4 mins, P = .046). Chronotype was significantly correlated with change in dim light melatonin onset (r = 0.649, P = .031). This suggests that a later chronotype is associated with a greater delay in dim light melatonin onset. There were also non-significant increases in total sleep time (Mean = 12.4 mins, SD = 44.4 mins, P = .255), later dim light melatonin onset (Mean = 25.2 mins, SD = 1.15 hrs, P = .295), and earlier sleep start time (Mean = 11.4 mins, SD = 48 mins, P = .322). CONCLUSION: Our data demonstrate objective and self-reported changes to sleep during the COVID-19 pandemic. Future studies should look at whether some individuals will require intervention to phase advance sleep when returning to previous routines such as returning to office and school settings.

Contributions of cancer treatment, comorbidities, and obesity to aging-related disease risks among non-Hodgkin lymphoma survivors.

PURPOSE: It is unknown whether cancer treatment contributes more to long-term disease risk than lifestyle factors and comorbidities among B-cell non-Hodgkin lymphoma (B-NHL) survivors. METHODS: B-NHL survivors were identified in the Utah Cancer Registry from 1997 to 2015. Population attributable fractions (PAF) were calculated to assess the role of clinical and lifestyle factors for six cardiovascular, pulmonary, and renal diseases. RESULTS: Cancer treatment contributed to 11% of heart and pulmonary conditions and 14.1% of chronic kidney disease. Charlson Comorbidity Index (CCI) at baseline contributed to all six diseases with a range of 9.9% of heart disease to 26.5% of chronic kidney disease. High BMI at baseline contributed to 18.4% of congestive heart failure and 7.9% of pneumonia, while smoking contributed to 4.8% of COPD risk. CONCLUSION: Cancer treatment contributed more to heart disease, COPD, and chronic kidney disease than lifestyle factors and comorbidities among B-NHL survivors. High BMI at baseline contributed more to congestive heart failure and pneumonia than cancer treatment, whereas smoking at baseline was not a major contributor in this B-NHL survivor cohort. Baseline comorbidities consistently demonstrated high attributable risks for these diseases, demonstrating a strong association between preexisting comorbidities and aging-related disease risks.

Conflicting HIV/AIDS Sex Education Policies and Mixed Messaging among Educators and Students in the Lower Manya Krobo Municipality, Ghana.

While school-based comprehensive sex education (CSE) is effective in HIV prevention among young people ages 10-24 years, Ghana's national sexual and reproductive health education policy promotes abstinence. Meanwhile, the Ministry of Health's HIV prevention programs provide more comprehensive school-based education. This qualitative study evaluated the HIV/AIDS education program in the Lower Manya Krobo Municipality to assess the perspectives of students and educators in 10 schools on school-based sexual and reproductive health programs, including HIV/AIDS education and conflicting HIV/AIDS sex education policies. HIV prevalence in the Lower Manya Krobo Municipality of Ghana was more than twice the national average at 5.64% in 2018, and prevalence among youth in the municipality aged 15-24 was the highest in the nation at 0.8%. Educators have mixed feelings regarding abstinence-based and CSE approaches. However, students generally endorse abstinence and describe the limitations of condom use. Ambiguity in overarching policies is identified as a factor that could influence the orientation of school-based health educators, create disharmony in sex education interventions, introduce confusing sex education messages to young people, and create a potentially narrow curriculum that limits the gamut of HIV/AIDS sex education to exclude young people's risky sexual behaviours and diverse teaching and implementation strategies. Policies and the scope of sex education should be realigned to ensure the transparent implementation of HIV/AIDS sex education programs in Ghana.

Sleep, Diet, Physical Activity, and Stress during the COVID-19 Pandemic: A Qualitative Analysis.

The COVID-19 pandemic has changed routines and habits, raising stress and anxiety levels of individuals worldwide. The goal of this qualitative study was to advance the understanding of how pandemic-related changes affected sleep, diet, physical activity (PA), and stress among adults. We conducted semi-structured, qualitative interviews with 185 participants and selected 33 interviews from a represented sample based on age, race, and gender for coding and analysis of themes. After coding for thematic analysis, results demonstrated four primary themes: sleep, diet, PA, and stress. Sleep sub-themes such as poorer sleep quality were reported by 36% of our participants, and 12% reported increased an frequency of vivid dreams and nightmares. PA was decreased in 52% of our participants, while 33% experienced an increase and 15% experienced no change in PA. Participants also reported having an improved diet, mostly among women. Stress was elevated in 79% of our participants and was more likely to be discussed by women. Many participants reported how stress was involved in precipitating health behavior change, especially for sleep. Increased stress was also linked to elevated anxiety and depression among participants. The results of this qualitative study demonstrate how managing stress could have a beneficial effect on promoting health behaviors and mental health during the COVID-19 pandemic and beyond.

Age-Related Disease Risks in Younger versus Older B-Cell Non-Hodgkin's Lymphoma Survivors.

BACKGROUND: Younger cancer survivors may develop age-related diseases due to the cancer treatment that they undergo. The aim of this population-based study is to estimate incidence of age-related diseases besides cardiovascular disease among younger versus older B-cell non-Hodgkin's lymphoma (B-NHL) survivors compared with their respective general population cohorts. METHODS: Survivors of B-NHL were diagnosed between 1997 and 2015 from the Utah Cancer Registry. Using the Utah Population Database, up to 5 cancer-free individuals from the general population were matched with a B-NHL survivor on sex, birth year, and state of birth. Hazard ratios (HR) for age-related disease outcomes, which were identified from medical records and statewide health care facility data, were estimated using Cox Proportional Hazards models for B-NHL survivors diagnosed at <65 years versus ≥65 years at least 5 years since B-NHL diagnosis. RESULTS: Comparing 2,129 B-NHL survivors with 8,969 individuals from the general population, younger B-NHL survivors had higher relative risks of acute renal failure [HR, 2.24; 99% confidence interval (CI), 1.48-3.39; P heterogeneity = 0.017), pneumonia (HR, 2.42; 99% CI, 1.68-3.49; P heterogeneity = 0.055), and nutritional deficiencies (HR, 2.08; 99% CI, 1.48-2.92; P heterogeneity = 0.051) ≥5 years after cancer diagnosis. CONCLUSION: Younger B-NHL survivors had higher relative risks of acute renal failure, pneumonia, and nutritional deficiencies than older B-NHL survivors compared with their respective general population cohorts, ≥5 years after cancer diagnosis.

Cardiovascular disease risks in younger versus older adult B-cell non-Hodgkin's lymphoma survivors.

INTRODUCTION: Young cancer survivors may be at increased risk of early-onset chronic health conditions. The aim of this population-based study is to estimate cardiovascular disease (CVD) risk among younger versus older B-cell non-Hodgkin's lymphoma (B-NHL) survivors compared with their respective general population cohorts. METHODS: B-NHL survivors diagnosed from 1997 to 2015 in the Utah Cancer Registry were matched with up to five cancer-free individuals on birth year, sex, and birth state, using the statewide Utah Population Database. Electronic medical records and statewide health care facility data were used to identify disease outcomes ≥5 years after cancer diagnosis. Cox Proportional Hazards models were used to estimate hazard ratios for B-NHL survivors diagnosed at <65 years and ≥65 years old. RESULTS: Younger B-NHL survivors had higher relative risks than older cancer survivors of chronic rheumatic disease of the heart valves (HR = 4.14, 99% CI = 2.17-7.89; P valueheterogeneity = 0.004); peri-, endo-, and myocarditis (HR = 2.43, 99% CI = 1.38-4.28; P valueheterogeneity = 0.016); diseases of the arteries (HR = 1.63, 99% CI = 1.21-2.21; P valueheterogeneity = 0.044); and hypotension (HR = 2.44, 99% CI = 1.58-3.75; P valueheterogeneity = 0.048). B-NHL survivors of both age groups had elevated relative risks of heart disease overall and congestive heart failure. CONCLUSION: Younger B-NHL survivors had higher risks than older B-NHL survivors of specific cardiovascular diseases compared to their respective general population cohorts.

Developing an Environmental Health Sciences COVID-19 Research Agenda: Results from the NIEHS Disaster Research Response (DR2) Work Group's Modified Delphi Method.

Leveraging the community of practice recently established through the U.S. National Institute of Environmental Health Sciences (NIEHS) Disaster Research Response (DR2) working group, we used a modified Delphi method to identify and prioritize environmental health sciences Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and associated Coronavirus Disease 2019 (COVID-19) research questions. Twenty-six individuals with broad expertise across a variety of environmental health sciences subdisciplines were selected to participate among 45 self-nominees. In Round 1, panelists submitted research questions and brief justifications. In Round 2, panelists rated the priority of each question on a nine-point Likert scale. Responses were trichotomized into priority categories (low priority; medium priority; and high priority). A research question was determined to meet consensus if at least 69.2% of panelists rated it within the same priority category. Research needs that did not meet consensus in round 2 were redistributed for re-rating. Fourteen questions met consensus as high priority in round 2, and an additional 14 questions met consensus as high priority in round 3. We discuss the impact and limitations of using this approach to identify and prioritize research questions in the context of a disaster response.

What Protective Health Measures Are Americans Taking in Response to COVID-19? Results from the COVID Impact Survey.

With the emergence of the novel SARS-CoV-2 and the disease it causes; COVID-19, compliance with/adherence to protective measures is needed. Information is needed on which measures are, or are not, being undertaken. Data collected from the COVID Impact Survey, conducted by the non-partisan and objective research organization NORC at the University of Chicago on April, May, and June of 2020, were analyzed through weighted Quasi-Poisson regression modeling to determine the association of demographics, socioeconomics, and health conditions with protective health measures taken at the individual level in response to COVID-19. The three surveys included data from 18 regional areas including 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, and TX) and 8 Metropolitan Statistical Areas (Atlanta, GA; Baltimore, MD; Birmingham, AL; Chicago, IL; Cleveland and Columbus, OH; Phoenix, AZ; and Pittsburgh, PA). Individuals with higher incomes, insurance, higher education levels, large household size, age 60+, females, minorities, those who have asthma, have hypertension, overweight or obese, and those who suffer from mental health issues during the pandemic were significantly more likely to report taking precautionary protective measures relative to their counterparts. Protective measures for the three subgroups with a known relationship to COVID-19 (positive for COVID-19, knowing an individual with COVID-19, and knowing someone who had died from COVID-19) were strongly associated with the protective health measures of washing hands, avoiding public places, and canceling social engagements. This study provides first baseline data on the response to the national COVID-19 pandemic at the individual level in the US. The found heterogeneity in the response to this pandemic by different variables can inform future research and interventions to reduce exposure to the novel SARS-CoV-2 virus.

Naive Forecast for COVID-19 in Utah Based on the South Korea and Italy Models-the Fluctuation between Two Extremes.

Differences in jurisdictional public health actions have played a significant role in the relative success of local communities in combating and containing the COVID-19 pandemic. We forecast the possible COVID-19 outbreak in one US state (Utah) by applying empirical data from South Korea and Italy, two countries that implemented disparate public health actions. Forecasts were created by aligning the start of the pandemic in Utah with that in South Korea and Italy, getting a short-run forecast based on actual daily rates of spread, and long-run forecast by employing a log-logistic model with four parameters. Applying the South Korea model, the epidemic peak in Utah is 169 cases/day, with epidemic resolution by the end of May. Applying the Italy model, new cases are forecast to exceed 200/day by mid-April, with the potential for 250 new cases a day at the epidemic peak, with the epidemic continuing through the end of August. We identify a 3-month variation in the likely length of the pandemic, a 1.5-fold difference in the number of daily infections at outbreak peak, and a 3-fold difference in the expected cumulative cases when applying the experience of two developed countries in handling this virus to the Utah context.

Expected hazards and hospital beds in host cities of the 2014 FIFA World Cup in Brazil.

Planning for mass gatherings involves health system preparedness based on an understanding of natural and technological hazards identified through prior risk assessment. We present the expected hazards reported by health administrators of the host cities for the 2014 FIFA World Cup in Brazil and discuss the hazards considering minimal available public hospital beds in the 12 cities at the time of the event. Four different groups of respondents were interviewed: pharmaceutical service administrators and overall health administrators at both the municipal and hospital levels. The hospital bed occupancy rate was calculated, based on the Brazilian Health Informatics Department (DATASUS). The number of surplus beds was calculated using parameters from the literature regarding surge and mass casualty needs and number of unoccupied beds. In all groups, physical injuries ranked first, followed by emerging and endemic diseases. Baseline occupancy rates were high (95%CI: 0.93-2.19) in all 12 cities. Total shortage, considering all the cities, ranged from -47,670 (for surges) to -60,569 beds (for mass casualties). The study can contribute to discussions on mass-gathering preparedness.

Utah obstetricians' opinions of planned home birth and conflicting NICE/ACOG guidelines: A qualitative study.

BACKGROUND: The United Kingdom's National Institute for Health and Care Excellence (NICE) recently published recommendations that support planned home birth for low-risk women. The American College of Obstetricians and Gynecologists (ACOG) remains wary of planned home birth, asserting that hospitals and birthing centers are the safest birth settings. Our objective was to examine opinions of obstetricians in Salt Lake City, Utah about home birth in the context of rising home birth rates and conflicting guidelines. METHODS: Participants were recruited through online searches of Salt Lake City obstetricians and through snowball sampling. We conducted individual interviews exploring experiences with and attitudes toward planned home birth and the ACOG/NICE guidelines. RESULTS: Fifteen obstetricians who varied according to years of experience, location of medical training, sex, and subspecialty (resident, OB/GYN, maternal-fetal medicine specialist) were interviewed. Participants did not recommend home birth but supported a woman's right to choose her birth setting. Obstetrician opinions about planned home birth were shaped by misconceptions of home birth benefits, confusion surrounding the scope of care at home and among home birth providers, and negative transfer experiences. Participants were unfamiliar with the literature on planned home birth and/or viewed the evidence as unreliable. Support for ACOG guidelines was high, particularly in the context of the United States health care setting. CONCLUSION: Physician objectivity may be limited by biases against home birth, which stem from limited familiarity with published evidence, negative experiences with home-to-hospital transfers, and distrust of home birth providers in a health care system not designed to support home birth.

Expected hazards and hospital beds in host cities of the 2014 FIFA World Cup in Brazil / Riscos esperados e leitos hospitalares nas cidades-sede da Copa do Mundo FIFA de 2014 no Brasil / Riesgos esperados y camas de hospital en ciudades anfitrionas de la Copa Mundial de la FIFA 2014 en Brasil

Planning for mass gatherings involves health system preparedness based on an understanding of natural and technological hazards identified through prior risk assessment. We present the expected hazards reported by health administrators of the host cities for the 2014 FIFA World Cup in Brazil and discuss the hazards considering minimal available public hospital beds in the 12 cities at the time of the event. Four different groups of respondents were interviewed: pharmaceutical service administrators and overall health administrators at both the municipal and hospital levels. The hospital bed occupancy rate was calculated, based on the Brazilian Health Informatics Department (DATASUS). The number of surplus beds was calculated using parameters from the literature regarding surge and mass casualty needs and number of unoccupied beds. In all groups, physical injuries ranked first, followed by emerging and endemic diseases. Baseline occupancy rates were high (95%CI: 0.93-2.19) in all 12 cities. Total shortage, considering all the cities, ranged from -47,670 (for surges) to -60,569 beds (for mass casualties). The study can contribute to discussions on mass-gathering preparedness.

O planejamento de megaeventos envolve a preparação do sistema de saúde, com base na compreensão dos perigos naturais e tecnológicos, através da avaliação antecipada dos riscos. Os autores apresentam os riscos esperados relatados pelos gestores da saúde das cidades-sede durante a Copa do Mundo FIFA de 2014 no Brasil e discutem os riscos com base na disponibilidade mínima de leitos hospitalares públicos nas 12 cidades na época do evento. Quatro grupos foram entrevistados: gestores de serviços farmacêuticos e gestores gerais da saúde, ambos nos níveis municipal e hospitalar. Foi calculada a taxa de ocupação dos leitos hospitalares com base em dados do Departamento de Informática do Sistema Único de Saúde (DATASUS). O excedente de leitos foi calculado, utilizando parâmetros da literatura sobre picos de demanda (surges) e acidentes com múltiplas vítimas e o número de leitos desocupados. Em todos os grupos, as causas externas ocuparam o primeiro lugar, seguido pelas doenças emergentes e endêmicas. Todas as 12 cidades já apresentavam taxas de ocupação altas (IC95%: 0,93-2,19). O déficit total de leitos, considerando todas as cidades, variava de -47.670 (para picos de demanda) até -60.569 leitos (para acidentes com múltiplas vítimas). O estudo pode subsidiar as discussões sobre o preparo para megaeventos.

Planificar eventos para masas de gente implica la preparación del sistema de salud, basada en una comprensión de los riesgos naturales y tecnológicos, que hayan sido identificados previamente tras una evaluación de riesgos. Presentamos los riesgos esperados que fueron informados por los gestores de salud en las ciudades brasileñas anfitrionas de la Copa Mundial de la FIFA, y los discutimos, considerando el número mínimo disponible de camas en hospitales públicos en 12 ciudades, durante el evento deportivo. Hubo cuatro grupos diferentes de entrevistados: gestores del servicio farmacéutico y, en general, distintos gestores de salud en ambos niveles: municipal y hospitalario. La ratio de ocupación de camas se calculó basándose en el Sistema de Información del Sistema Único de Salud (DATASUS). El número de camas sobrantes fue calculado usando parámetros de la literatura, concernientes a las necesidades surgidas, número de víctimas y número de camas desocupadas. En todos los grupos, las lesiones físicas se encontraban en primera posición, seguidas de las enfermedades emergentes y endémicas. Las ratios base de referencia de ocupación fueron altas (IC95%: 0,93-2,19) en las12 ciudades. La escasez total, considerando todas las ciudades, oscila desde -47.670 (para incrementos) a -60.569 camas (para víctimas en masa). El estudio puede contribuir a discusiones sobre la preparación de eventos para muchedumbres.

Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas.

Recently, Brazil has hosted mass events with recognized international relevance. The 2014 FIFA World Cup was held in 12 Brazilian state capitals and health sector preparedness drew on the history of other World Cups and Brazil's own experience with the 2013 FIFA Confederations Cup. The current article aims to analyze the treatment capacity of hospital facilities in georeferenced areas for sports events in the 2016 Olympic Games in the city of Rio de Janeiro, based on a model built drawing on references from the literature. Source of data were Brazilian health databases and the Rio 2016 website. Sports venues for the Olympic Games and surrounding hospitals in a 10km radius were located by geoprocessing and designated a "health area" referring to the probable inflow of persons to be treated in case of hospital referral. Six different factors were used to calculate needs for surge and one was used to calculate needs in case of disasters (20/1,000). Hospital treatment capacity is defined by the coincidence of beds and life support equipment, namely the number of cardiac monitors (electrocardiographs) and ventilators in each hospital unit. Maracanã followed by the Olympic Stadium (Engenhão) and the Sambódromo would have the highest single demand for hospitalizations (1,572, 1,200 and 600, respectively). Hospital treatment capacity proved capable of accommodating surges, but insufficient in cases of mass casualties. In mass events most treatments involve easy clinical management, it is expected that the current capacity will not have negative consequences for participants.

Preparedness for the Rio 2016 Olympic Games: hospital treatment capacity in georeferenced areas / Preparação para os Jogos Olímpicos Rio 2016: capacidade de tratamento hospitalar em áreas georreferenciadas / La preparación para los Juegos Olímpicos de Río 2016: capacidad de tratamiento hospitalario en áreas georreferenciadas

Abstract: Recently, Brazil has hosted mass events with recognized international relevance. The 2014 FIFA World Cup was held in 12 Brazilian state capitals and health sector preparedness drew on the history of other World Cups and Brazil's own experience with the 2013 FIFA Confederations Cup. The current article aims to analyze the treatment capacity of hospital facilities in georeferenced areas for sports events in the 2016 Olympic Games in the city of Rio de Janeiro, based on a model built drawing on references from the literature. Source of data were Brazilian health databases and the Rio 2016 website. Sports venues for the Olympic Games and surrounding hospitals in a 10km radius were located by geoprocessing and designated a "health area" referring to the probable inflow of persons to be treated in case of hospital referral. Six different factors were used to calculate needs for surge and one was used to calculate needs in case of disasters (20/1,000). Hospital treatment capacity is defined by the coincidence of beds and life support equipment, namely the number of cardiac monitors (electrocardiographs) and ventilators in each hospital unit. Maracanã followed by the Olympic Stadium (Engenhão) and the Sambódromo would have the highest single demand for hospitalizations (1,572, 1,200 and 600, respectively). Hospital treatment capacity proved capable of accommodating surges, but insufficient in cases of mass casualties. In mass events most treatments involve easy clinical management, it is expected that the current capacity will not have negative consequences for participants.

Resumo: Recentemente, o Brasil sediou eventos de massa com relevância internacional reconhecida. A Copa do Mundo FIFA de 2014 foi realizada em 12 capitais estaduais e a preparação do setor da saúde contou com a história de outras Copas do Mundo e com a própria experiência do Brasil com a Copa das Confederações FIFA de 2013. O presente artigo objetivou analisar a capacidade de tratamento de instalações hospitalares em áreas georeferenciadas para eventos esportivos, nos Jogos Olímpicos de 2016, na cidade do Rio de Janeiro, com base em um modelo construído a partir da literatura. Os dados foram coletados nas bases de dados de saúde do Brasil e da página de Internet da Rio 2016. As instalações esportivas para os Jogos Olímpicos e os hospitais circundantes em um raio de 10km foram localizados por geoprocessamento; foi designada uma "área de saúde", referindo-se ao afluxo provável de pessoas a serem tratadas em caso de necessidade hospitalar. Seis fatores foram utilizados para calcular necessidades para surtos e um fator de cálculo foi usado para as desastres (20/1.000). Capacidade de tratamento hospitalar é definida pela coincidência de leitos e equipamentos de suporte de vida, ou seja, o número de monitores cardíacos (eletrocardiógrafos) e respiradores em cada unidade hospitalar. O Maracanã, seguido do Estádio Olímpico (Engenhão) e o Sambódromo, teria a maior demanda para internações (1.572, 1.200 e 600, respectivamente). A capacidade de tratamento hospitalar mostrou-se capaz de acomodar surtos, mas insuficiente em casos de vítimas em massa. Em eventos de massa, a maioria dos tratamentos envolve uma fácil gestão clínica. Espera-se que a capacidade atual não terá consequências negativas para os participantes.

Resumen: Recientemente, Brasil fue sede de eventos de masa con relevancia internacional reconocida. La Copa Mundial de la FIFA 2014 se llevó a cabo en 12 capitales de los estados y la preparación del sector de la salud tenía la historia de otras copas mundiales y con la experiencia de Brasil en la Copa Confederaciones de la FIFA 2013. Este artículo tiene como objetivo analizar la capacidad de tratamiento de las instalaciones hospitalarias en zonas georreferenciados para los eventos deportivos, en los Juegos Olímpicos de 2016, en la ciudad de Río de Janeiro, basado en un modelo construido a partir de la literatura. Los datos fueron recogidos en las bases de datos de salud en Brasil y en el sitio web del Río 2016. Las instalaciones deportivas para los Juegos Olímpicos y los hospitales circundantes dentro de un radio de 10km fueron localizados por el geoprocesamiento; un "área de la salud" fue designado, en referencia a la posible afluencia de personas que van a tratarse en el caso de una emergencia hospitalaria. Seis factores se utilizaron para calcular las necesidades a los brotes y un factor de cálculo se utilizó para los desastres (20/1.000). Capacidad de tratamiento hospitalario se define por la coincidencia de camas y equipos de soporte vital, o el número de monitores cardíacos (electrocardiógrafos) y respiradores en cada hospital. El Maracanã, seguido por el Estadio Olímpico (Engenhão) y el Sambódromo, tendría la mayor demanda de hospitalizaciones (1.572, 1.200 y 600, respectivamente). La capacidad de tratamiento hospitalario ha demostrado ser capaz de adaptarse a los brotes, pero insuficiente en casos de víctimas en masa. En los eventos masivos, la mayoría de los tratamientos implican un manejo clínico fácil. Se espera que la capacidad actual no tendrá consecuencias negativas para los participantes.

Enhancing emergency preparedness and response systems: correlates of collaboration between local health departments and school districts.

OBJECTIVE: Collaboration between existing components of the public health system is important for protecting public health and promoting community resilience. We describe the factors that promote collaborative emergency preparedness and response activities between local health departments (LHDs) and school systems. METHODS: We gathered data from a multistage, stratified random sample of 750 LHDs nationwide. Utilizing a mailed invitation, we recruited respondents to participate in an online questionnaire. We calculated descriptive and inferential statistics. RESULTS: The majority of LHDs collaborated with school systems for emergency preparedness and response activities and most indicated they were likely to collaborate in the future. Characteristics of the jurisdiction, general experience and perceptions of collaboration, and characteristics of the preparedness collaboration itself predicted future collaboration. CONCLUSION: Our results help us understand the nature of collaborations between LHDs and school systems on emergency preparedness and response activities, which can be used to identify priority areas for developing successful and sustainable joint efforts in the future. By focusing on the perceived value of collaboration and building on existing non-preparedness partnering, communities can increase the likelihood of ongoing successful LHD-school system emergency preparedness collaborations.

Organizing the health sector for response to disasters.

Each year millions of people around the world are affected by natural and manmade disasters. The consequences of natural disasters in terms of health are complex. Disasters directly impact the health of the population resulting in physical trauma, acute disease, and emotional trauma. Furthermore, disasters may increase the morbidity and mortality associated with chronic and infectious diseases due to the impact on the health system. The health sector must be organized for adequate preparedness, mitigation, response and recuperation from a plethora of potential disasters. This paper examines the various potential impacts of disasters on health, the components of the health sector and their roles in emergency medical care and disaster situations, as well as the coordination and organization necessary within the system to best meet the health needs of a population in the aftermath of a disaster.