Influenza outbreak during the surge of SARS-CoV-2 omicron in a metropolitan area from southern Brazil: genomic surveillance.

Influenza circulation was significantly affected in 2020-21 by the COVID-19 pandemic. During this time, few influenza cases were recorded. However, in the summer of 2021-22, an increase in atypical influenza cases was observed, leading to the resurgence of influenza in the southernmost state of Brazil, Rio Grande do Sul (RS). The present study aimed to identify the circulation of FLUAV, FLUBV and SARS-CoV-2 and characterize the influenza genomes in respiratory samples using high-throughput sequencing technology (HTS). Respiratory samples (n = 694) from patients in RS were selected between July 2021 and August 2022. The samples were typed using reverse transcriptase real-time PCR (RT-qPCR) and showed 32% (223/694) of the samples to be positive for SARS-CoV-2, 7% for FLUAV (H3) (49/694). FLUBV was not detected. RT-qPCR data also resulted in FLUAV and SARS-CoV-2 co-infections in 1.7% (4/223) of samples tested. Whole genome sequencing of FLUAV produced 15 complete genomes of the H3N2 subtype, phylogenetically classified in the 3C.2a1b.2a.2a.3 subclade and revealing the dominance of viruses in the southern region of Brazil. Mutation analysis identified 72 amino acid substitutions in all genes, highlighting ongoing genetic evolution with potential implications for vaccine effectiveness, viral fitness, and pathogenicity. This study underscores limitations in current surveillance systems, advocating for comprehensive data inclusion to enhance understanding of influenza epidemiology in southern Brazil. These findings contribute valuable insights to inform more effective public health responses and underscore the critical need for continuous genomic surveillance.

COVID-19 y medidas de protección adoptadas en comunidades rurales amazónicas durante los primeros meses de la pandemia / COVID-19 and protection measures adopted in rural amazon communities during the first months of the pandemic

RESUMEN Objetivos. Analizar la evolución del COVID-19 en poblaciones rurales de Loreto y Ucayali en la etapa temprana de la pandemia. Materiales y métodos. Se realizó un estudio observacional longitudinal a nivel de comunidades basado en dos rondas de encuestas telefónicas con autoridades locales de más de 400 comunidades rurales indígenas y no-indígenas en Loreto y Ucayali, en julio y agosto de 2020, para recopilar información sobre casos y muertes por COVID-19 en sus comunidades, medidas de protección adoptadas y la recepción de asistencia estatal en la etapa temprana de la pandemia. Estadísticas descriptivas permiten evaluar la evolución de la pandemia después del brote inicial y comparar las tendencias de las dos regiones, así como entre poblaciones indígenas y no-indígenas. Resultados. En julio de 2020, el COVID-19 había llegado al 91,5% de las comunidades, aunque se reportaron muertes por COVID-19 en 13,0% de las comunidades, siendo la mortalidad rural mayor en Ucayali (0,111%) que en Loreto (0,047%) y en comunidades no-indígenas. Para agosto, la prevalencia disminuyó de 44,0% a 32,0% de comunidades, pero se volvió más frecuente en las comunidades indígenas, y aquellas en Ucayali. Viajar a la ciudad para recibir bonos estatales y las dificultades para mantener el distanciamiento social contribuyeron al contagio. Conclusiones. Los hallazgos mostraron la evolución del COVID-19 en comunidades rurales y señalan áreas importantes de atención en futuras políticas públicas, para la adopción de medidas de protección y reconsiderar estrategias para la distribución de asistencia ante pandemias futuras.

ABSTRACT Objectives. To analyze the evolution of COVID-19 in rural populations of Loreto and Ucayali in the early stage of the pandemic. Materials and methods. A community-level longitudinal observational study was conducted and based on two rounds of telephone surveys with local authorities of more than 400 indigenous and non-indigenous rural communities in Loreto and Ucayali, in July and August 2020. We collected information on cases and deaths by COVID-19 in their communities, protective measures adopted and if state assistance was received in the early stage of the pandemic. Descriptive statistics allowed us to evaluate the evolution of the pandemic after the initial outbreak and compare the trends of the two regions, as well as between indigenous and non-indigenous populations. Results. In July 2020, COVID-19 had reached 91.5% of the communities, although deaths from COVID-19 were reported in 13.0% of the communities, with rural mortality being higher in Ucayali (0.111%) than in Loreto (0.047%) and in non-indigenous communities. By August, prevalence decreased from 44.0% to 32.0% of communities, but became more frequent in indigenous communities, and those in Ucayali. Traveling to the city to receive state bonuses and difficulties maintaining social distancing contributed to the spread. Conclusions. Our findings show the evolution of COVID-19 in rural communities and point to important areas of attention in future public policies, for the adoption of protective measures and reconsidering strategies for the distribution of assistance in the face of future pandemics.

Prostate cancer temporal and regional trends in Brazil.

Objectives: The Brazilian Unified Health System (Sistema Único de Saúde-SUS) is the universal public healthcare system of Brazil that maintains a nationwide database of its patients. Our primary objective was to analyze regional and temporal trends, while our secondary goal was to establish correlations between states' health economy status and their prostate cancer (PCa) epidemiology. Methods: We analyzed Brazil's nationwide data on prostate cancer (PCa) incidence, mortality, and care gathered between 2013 and 2021 by the Information Technology Department of SUS (DATA-SUS), updated monthly using the International Classification of Diseases (ICD-10) code. Results: In the period, 273,933 new cases of PCa and 135,336 PCa deaths were reported in men aged 50 years or over in Brazil. The median annual PCa-specific incidence rate (PCSIR) ranged from 14.7 in the Southeast to 6.9 in the North region and the median annual PCa-specific mortality rate (PCSMR) ranged from 7.7 in the Northeast to 6.0 in the South region (per 10,000 men >50). The median annual mortality to incidence ratio (MIR) was highest in the North (0.88) and lowest in the Southeast region (0.44). There were significant regional differences in PCa treatment rates (per new cases); the Midwest region had the highest median annual surgery rate (0.63) while the North region had the highest median annual systemic therapy rate (0.75) and the lowest radiation therapy rate (0.06). Temporal analysis of the data showed significant change in annual rate trends after the year 2018 for PCSIR (coefficient [ß] = +3.66, p < 0.001), any treatment (ß = -0.06, p = 0.016), surgery ([SR] ß = +0.05, p = 0.017) radiation therapy ([RTR] ß = -0.06, p = 0.005) and systemic therapy ([STR] ß = -0.10, p = 0.002). After the 2020 pandemic, annual PCSIR decreased (ß = -2.15, p = 0.002) but annual PCSMR, MIR, and treatment rates remained stable. Correlation studies showed that the PCSIR was strongly negatively correlated with STR (p < 0.001) and positively correlated with RTR (p = 0.004). MIR was positively correlated with STR (p < 0.001) and negatively correlated with the number of robotic surgical systems per million population (p = 0.003). Conclusion: Our data shows that PCa care is dependent on the region and is likely influenced by access to treatment options. Furthermore, changes after the year 2018 underscore the influence of international guidelines on Brazilian clinicians' decision-making especially concerning population screening which in turn affected incidence and treatment rates. Limitation of our study includes limited patient-related information and data on private practices as well as an unknown impact of traveling patients.

Trajectories of anxiety, depression, and posttraumatic stress among healthcare workers during the COVID-19 pandemic: one-year monthly follow-up.

OBJECTIVES: This study aimed to assess longitudinal patterns of anxiety, depression, and posttraumatic stress symptoms, as well as their predictors, in a reference hospital workforce during the first two waves of the pandemic in Brazil. METHODS: Data were collected between July 2020 and June 2021 (N = 1,078). Anxiety, depression, and posttraumatic stress symptoms were assessed using three self-report scales (GAD-7, PHQ-9, IES-R). Predictor analysis included COVID-19-related events, fear of COVID-19, and institutional support. Statistical analysis involved linear mixed models and local polynomial regressions. RESULTS: Anxiety and depression showed a tendency towards increased reactivity, while posttraumatic stress presented a tendency towards reduction with less fluctuation. Predictor analysis showed that higher levels of institutional support were associated with a reduced risk of all mental health outcomes. Conversely, greater fear of COVID-19 was positively associated with all of them. CONCLUSIONS: Our findings underscore the importance of allocating enhanced attention and resources to effectively address pressing personal health challenges, emphasizing the significance of organizational support and continuous monitoring of emotional distress.

Hispanic Cancer Survivors Exposed to Multiple Natural Disasters: Pre-Post-Disaster Changes in Anxiety, Depression, PTSD, Perceived Stress, and Physical Symptom Burden.

BACKGROUND: Studies evaluating the effects of natural disasters on cancer outcomes are scarce, especially among USA ethnic minority groups, and none have focused on the effects of concurrent natural disasters and the COVID-19 pandemic. The goal of this secondary data analysis is to explore the impact of concurrent exposure to COVID-19 and earthquakes on psychological distress and symptom burden among Puerto Rican cancer survivors. METHODS: This secondary data analysis (n = 101) was part of a longitudinal case-control cohort study (n = 402) aimed at describing unmet psychological needs among Puerto Rican cancer patients and non-cancer subjects previously exposed to Hurricane María in 2017. The research team pooled data from participants (cancer survivors and non-cancer group) from their baseline assessments and from follow-up assessments conducted during January-July 2020 (earthquake and the lockdown period). A descriptive, paired t-test, non-parametric mean rank test, and two-sided Pearson correlation analyses were performed. RESULTS: Psychological distress and cancer symptom burden diminished over time. Resilience was significantly correlated with all the psychological and symptom burden variables during both pre- and post-earthquake and COVID-19 assessment periods. CONCLUSIONS: The results support the role of resilience, social support, and post-traumatic growth as potential protective factors preventing psychological distress and diminishing cancer symptom burden among cancer survivors exposed to natural disasters and the COVID-19 pandemic.

The Adoption and Impact of Telemedicine on Health Equity: A Narrative Review From the Jamaican Context.

Telemedicine rose to popularity during the coronavirus disease 2019 (COVID-19) pandemic but is yet to be fully developed. Hence, this study explores the current status of telehealth in Jamaica, looking at its benefits, challenges with its implementation, the regulatory landscape, and solutions to using this technology. Due to the limited research on this topic, a majority of the sources utilized were gray literature with qualitative and quantitative studies. This review seeks to transform policy and practice, promoting telemedicine as a feasible solution for improving Jamaica's healthcare quality and access. By comparing telemedicine in Jamaica to a more developed nation like the United States, the review highlights not only benefits but also major challenges, including healthcare disparities due to the digital divide, less advanced technology, privacy breaches, and significant financing required for telemedicine infrastructure, among other barriers to its integration. The analysis advocates for improvement in various areas, such as cybersecurity measures, advanced training for healthcare professionals, further investments in technological infrastructure, refinement of regulatory frameworks and policies, and incorporation of community-based initiatives. This investigation further highlights the need for additional research to gain insights and a broader perspective.

Potential Impact of COVID-19 on Medical Career Aspirations of Prospective Students.

This article describes the evolving landscape of medical education in the wake of the COVID-19 pandemic, emphasizing the renewed importance of public health, mental well-being, and career choices among medical students. The pandemic has prompted a significant shift in medical student's career aspirations, highlighting the need for mental health support mechanisms within the medical education framework. Medical students' career choices are influenced directly and indirectly by the challenges and experiences of the pandemic era, which are discussed in this article under four key themes: traditional values, global health interests and disparities, developing trends, and digital healthcare. There is an urgent need to adjust medical training to the new reality and share the future directions of the medical education landscape by embracing diverse career paths in medicine, integrating technology into medical training, adapting to the changing context of medicine, and strengthening collaboration and communication. The pandemic underscores the importance of evidence-based patient care, necessitating the preparation of tomorrow's doctors to address the emerging healthcare challenges with resilience, adaptability, and a comprehensive understanding of both local and global health challenges.

An Epidemiological Assessment of SARS-CoV-2 in the Sewage System of a Higher Education Institution.

Background: The World Health Organization declared the end of the COVID-19 pandemic in May 2023, three years after the adoption of global emergency measures. Monitoring of SARS-CoV-2 in sewage underscores its importance due to its effectiveness and cost-effectiveness, highlighting the need to prioritize research on water resources and sanitation. Objectives: The aim of this study was to conduct an epidemiological assessment of SARS-CoV-2 in the sewage system of a higher education institution located in Vitória Espírito Santo State, Maruípe campus. Methods: Over a period of 66 days, from February 6 to April 12, 2023, 15 samples were collected. Each sample consisted of 1 L, collected in 1 hour, with 250 mL collected every 15 minutes. The samples were characterized by assessing their appearance, and pH was measured using a Horiba U-50 multiparameter probe. The extracted RNA was subjected to RT-qPCR using the Allplex™ 2019-nCovAssay Seegene kit. Results: The samples exhibited a cloudy appearance with impurities, and the pH ranged from 6.35 to 8.17. Among the evaluated samples, SARS-CoV-2 RNA was detected in two, and, by comparing this with the epidemiological bulletin issued by the State Health Department, an increase in cases in the state was observed during the collection period of these samples. Conclusions: Sewage monitoring proved to be an important tool in this post-pandemic period, serving as an alert and prevention mechanism for the population in relation to new outbreaks. Furthermore, it represents a low-cost mapping strategy and extensive testing of a population, aligning with the studies presented at the beginning of the pandemic. We recommend specific adjustments considering distinct populations.

Using machine learning to analyze mental health in distance education during the COVID-19 pandemic: an opinion study from university students in Mexico.

In times of lockdown due to the COVID-19 pandemic, it has been detected that some students are unable to dedicate enough time to their education. They present signs of frustration and even apathy towards dropping out of school. In addition, feelings of fear, anxiety, desperation, and depression are now present because society has not yet been able to adapt to the new way of living. Therefore, this article analyzes the feelings that university students of the Instituto Tecnológico Superior de Misantla present when using long distance education tools during COVID-19 pandemic in Mexico. The results suggest that isolation, because of the pandemic situation, generated high levels of anxiety and depression. Moreover, there are connections between feelings generated by lockdown and school performance while using e-learning platforms. The findings of this research reflect the students' feelings, useful information that could lead to the development and implementation of pedagogical strategies that allow improving the students' academic performance results.

Medical Professionalism and Its Association with Dropout Intention in Peruvian Medical Students during the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic introduced unprecedented challenges to medical education systems and medical students worldwide, making it necessary to adapt teaching to a remote methodology during the academic year 2020-2021. The aim of this study was to characterize the association between medical professionalism and dropout intention during the pandemic in Peruvian medical schools. METHODS: A cross-sectional online-survey-based study was performed in four Peruvian medical schools (two public) during the academic year 2020-2021. Medical students, attending classes from home, answered three scales measuring clinical empathy, teamwork, and lifelong learning abilities (three elements of medical professionalism) and four scales measuring loneliness, anxiety, depression, and subjective wellbeing. In addition, 15 demographic, epidemiological, and academic variables (including dropout intention) were collected. Variables were assessed using multiple logistic regression analysis. RESULTS: The study sample was composed of 1107 students (390 male). Eight variables were included in an explanatory model (Nagelkerke-R2 = 0.35). Anxiety, depression, intention to work in the private sector, and teamwork abilities showed positive associations with dropout intention while learning abilities, subjective wellbeing, studying in a public medical school, and acquiring a better perception of medicine during the pandemic showed a negative association with dropout intention. No association was observed for empathy. CONCLUSIONS: Each element measured showed a different role, providing new clues on the influence that medical professionalism had on dropout intention during the pandemic. This information can be useful for medical educators to have a better understanding of the influence that professionalism plays in dropout intention.

Diabetes tipo 1 en pediatría durante la pandemia por COVID-19: tiempo de evolución de síntomas y formas de presentación en un centro de referencia / Type 1 diabetes in pediatrics during the COVID-19 pandemic: Time from symptom onset and forms of presentation at a referral hospital

Introducción. La pandemia por COVID-19 afectó la atención de pacientes con diabetes mellitus tipo 1 (DM1). Además, se reportó un aumento de cetoacidosis diabética (CAD) como forma de diagnóstico. Objetivos. Evaluar si durante la pandemia por COVID-19 se modificaron el tiempo de evolución de síntomas, las causas de hospitalización por DM1 y la proporción de formas graves, y describir la infección por SARS-CoV-2 en estos pacientes. Población y métodos. Estudio transversal que incluyó pacientes menores de 19 años hospitalizados por DM1 en un centro pediátrico de referencia de marzo de 2018 a agosto de 2019 (prepandemia) y de marzo de 2020 a agosto de 2021 (pandemia). Resultados. Se analizaron 231 internaciones, 135 prepandemia y 96 en pandemia. Los pacientes con debut diabético presentaron menor tiempo de evolución de síntomas en pandemia que en prepandemia (18,8 ± 10,2 vs. 52,1 ±12,1 días, respectivamente; p <0,001). Las hospitalizaciones por todas las formas de debut diabético y el debut con CAD fueron más frecuentes en pandemia que en prepandemia (59,4 % vs. 39,3 %; OR 2,3; IC95% 1,3-3,8; p = 0,003); y (40,6 % vs. 20,7 %; OR 2,6; IC95% 1,4-5,2; p = 0,006) respectivamente. La proporción de formas graves de CAD no se modificó entre ambos períodos (48,1 % vs. 59,9 %; p = 0,3). Solo 6 pacientes presentaron infección por SARS-CoV-2; 3 fueron formas graves. Conclusión. Durante la pandemia, disminuyó el tiempo de evolución de síntomas y aumentó la frecuencia de hospitalizaciones por debut de DM1, con mayor proporción de CAD. No se modificó la proporción de formas graves de CAD

Introduction. The COVID-19 pandemic impacted on the health care of patients with type 1 diabetes mellitus (DM1). An increase in diabetic ketoacidosis (DKA) as a form of diagnosis was reported. Objectives. To assess whether there were changes in the time from symptom onset, the causes of hospitalization due to DM1, and the proportion of severe forms, and to describe SARS-CoV-2 infection in these patients. Population and methods. Cross-sectional study in patients younger than 19 years hospitalized due to DM1 from March 2018 to August 2019 (pre-pandemic) and from March 2020 to August 2021 (pandemic). Results. The assessment included 135 hospitalizations in the pre-pandemic period and 96 during the pandemic. The time from symptom onset during the pandemic in those with debutof diabetes was shorter than in the pre-pandemic period (18.8 ± 10.2 versus 52.1 ± 12.1 days, respectively; p < 0.001). Hospitalizations due to all forms of diabetes debut and debut with DKA were more common during the pandemic than before it (59.4% versus 39.3%; odds ratio [OR]: 2.3; 95% confidence interval [CI]: 1.3­3.8; p = 0.003 and 40.6% versus 20.7%; OR: 2.6; 95% CI: 1.4­5.2; p = 0.006, respectively). Severe forms of DKA did not change between both periods (48.1% versus 59.9%; p = 0.3). Only 6 patients developed SARS-CoV-2 infection; 3 were severe. Conclusion. During the pandemic, the time from symptom onset decreased and the frequency of hospitalizations due to debut of DM1 increased. The proportion of severe forms of DKA did not change.

Insights from the EQUALS4COVID19 study on migrant mental health in Portugal: a cross-sectional mixed-methods approach.

BACKGROUND: The COVID-19 pandemic and related disruptive consequences in the economic, health, and educational sectors have impacted people's lives, contributing to a context of increased economic and social vulnerability. The pandemic has revealed and accentuated social inequalities and discrimination based on racial or ethnic origin. This study aimed to contribute to the promotion of the mental health and well-being of migrant populations living in Portugal via the definition of an analytical framework and recommendations emerging from the EQUALS4COVID19 project. METHODS: To gather information on the impact of the COVID-19 pandemic and resilience determinants among immigrants, a mixed-methods approach was implemented in 2022, combining a cross-sectional survey targeting immigrant adults in Portugal, focus groups with immigrants, focus groups with healthcare professionals, and in-depth individual interviews with stakeholders involved in the implementation of measures related to mental health and well-being during the pandemic. The analysis followed an integrated framework; quantitative data informed the script of qualitative data collection methods, and qualitative analysis informed the reinterpretation of quantitative data. RESULTS: The survey with 604 Brazilian and Cape Verdean immigrants revealed that gender (being a woman) was associated with both psychological distress and depression-related symptomatology and that the perception of discrimination was a major risk factor for psychological suffering, while perceived social support and individuals' resilience characteristics were protective factors. Qualitative data provided deeper insights into these findings, revealing the ways mental health is affected by social structures, such as gender and ethnic hierarchies. Migrants tend to work in precarious jobs requiring physical presence, which, together with dense housing conditions, puts them at higher risk of infection. The deterioration of the economic conditions of the general population has also increased the perception of ethnic-racial discrimination, which was found to be related to the increase in insecurity and anxiety-related symptomatology among the migrant population. Newly arrived migrants, with reduced support networks, experienced a greater sense of insecurity as well as concern and anguish regarding relatives who live far away, in their home country. Migrant women reported greater family-related distress, including work-life balance problems. CONCLUSIONS: Proposals to address mental health inequalities should be considered in the context of the necessary global changes both at the societal level and in the delivery of mental health services. Additionally, they should be considered with the active involvement of migrants, families, and communities in the design and delivery of mental health promotion and care processes.

May Measurement Month 2021: an analysis of blood pressure screening results from Mexico.

May Measurement Month 2021 (MMM21) in Mexico was an opportunistic survey that aimed to improve blood pressure awareness at the individual and population levels and to analyse the impact of the COVID-19 pandemic on the prevalence, knowledge, and rates of hypertension in the country. This survey followed the methodology of MMM, previously published. The total number of participants screened was 77 547, of which 47 793 (61.6%) were female and 29 178 (37.6%) were male. The mean age (SD) was 46.2 (16.6) years. Of all 77 547 participants, 14 939 (19.3%) had hypertension, of which 48% were aware. The frequency and awareness of hypertension in this survey are similar to those reported before the pandemic (MMM19-Mexico and the 2019 National Health Survey), suggesting that the impact of the COVID-19 pandemic in these parameters of arterial hypertension was not as important as expected. These data are concordant with the official reports in Mexico that showed that the pandemic had a severe impact on cardiovascular mortality but did not modify mortality due to hypertension or stroke.

Psycho-emotional impact of the COVID-19 pandemic on nursing professionals in Ecuador: a cross-sectional study.

AIM AND OBJECTIVES: To analyse the levels of anxiety, depression, post-traumatic stress, and burnout among nursing professionals working in the Imbabura region of Ecuador during the COVID-19 pandemic and identify the contributing socio-occupational factors. BACKGROUND: The high demand for care of COVID-19 patients led to increased work pressure on nurses, owing to increased demands for care and shortages of medical supplies and protective equipment. DESIGN: A cross-sectional study was conducted from September to December 2022 using a self-administered questionnaire addressed to nursing professionals who cared for COVID-19 patients. METHODS: The questionnaire included socio-demographic characteristics, the Spanish adaptation of Hospital Anxiety and Depression Scale (HADS-Spanish), Impact of Event Scale-Revised (IES-R) for the evaluation of post-traumatic stress disorder (PTSD), and the Spanish adaptation of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS-Spanish) for burnout assessment. Univariate and multivariate analyses were performed. RESULTS: Of the 782 participants, 88.6% had a high level of burnout (MBI-HSS-Spanish scale score > 27). Female nurses, nurses with eight-hour work shifts, and older professionals exhibited high levels of anxiety and depression. Prolonged working hours in COVID-19 patient care services were found to be a risk factor for burnout and post-traumatic stress. CONCLUSIONS: Participating nurses presented with a high level of chronic work stress and exhibited signs of anxiety and depression during the period under consideration. Providing nurses with psychological support measures and performing liaison consultations will alleviate the psychological burden on nurses. RELEVANCE TO CLINICAL PRACTICE: The study has shown that accounting for the environments where the emotional impact is greatest and how to reduce it would not only reduce anxiety, depression, and burnout in nurses but also improve the quality of care, not only in pandemic. PATIENT OR PUBLIC CONTRIBUTION: Nurses contributed to the conduct of the study by participating in the data collection via questionaries.

Stress and the Consumption of Ultra-Processed Foods during COVID-19's Social Distancing: Are Mental Disorders Mediators in This Association? ELSA-Brasil Results.

The COVID-19 pandemic exacerbated various determinants of mental disorders. Several behavioral changes were observed given this increase, including harmful health consequences, such as excessive consumption of ultra-processed foods (UPFs). To assess this relationship, we investigated the meditational role of symptoms of mental disorders (anxiety and depression) in the association between stress resulting from social distancing during the COVID-19 pandemic and the consumption of UPFs in 3884 Brazilian public employees in a supplementary study of the ELSA-Brasil study. Structural equation models (SEMs) were estimated to assess the direct and indirect effects mediated by symptoms of mental disorders. The results suggested a significant and positive mediational effect of the symptoms of mental disorders on the association between the stress resulting from social distancing and the consumption of UPFs. These findings contribute to informing the need for policies and early interventions in potentially stressful situations, with a focus on the promotion of mental health, and may thus help prevent or reduce the consumption of unhealthy foods.

Stakeholders' Perceptions on the Implementation of the HPV Vaccine School-Entry Requirement in Puerto Rico during the COVID-19 Pandemic.

This study explored the implementation of the human papillomavirus (HPV) vaccine school-entry requirement in Puerto Rico during the COVID-19 pandemic. We conducted 26 semi-structured interviews with stakeholders and community-based organizations from August 2021 to March 2022. The interview guide was developed using the 2009 Consolidated Framework for Implementation Research (CFIR). The interviews were recorded and transcribed in Spanish. Data were analyzed using applied thematic techniques. These themes included the following: (i) Intervention characteristics: Participants noted that the school-entry requirement was effective in increasing vaccination uptake prior to the pandemic. Issues with the immunization registry were noted; (ii) Outer setting: External influences, access barriers, and an increase in HPV vaccine exemptions since the implementation of the COVID-19 vaccine were discussed; (iii) Inner setting: Communication within organizations and HPV vaccination efforts improved as the pandemic progressed; (iv) Characteristics of individuals: Most agreed with the school-entry requirement, including exemptions; and (v) Process: Results showed the need to reinforce the population's education about HPV and the vaccine. Implementation of the policy was challenging during the early stages of the pandemic due to measures enacted to stop the spread of COVID-19 and focus on the COVID-19 vaccine. Efforts to increase HPV vaccine should focus on increasing HPV vaccine education and creating collaborations.

Predictors of persistent moderate and severe food insecurity in a longitudinal survey in Mexico during the COVID-19 pandemic.

Background: Household food insecurity (HFI) increased in Latin America by 9% between 2019 and 2020. Scant evidence shows who was unable to recover from the COVID-19 pandemic. Our aim was to use a Machine Learning (ML) approach to identify consistent and influential predictors of persistent moderate or severe HFI over 2 years. Methods: We use a three-wave longitudinal telephone survey with a probabilistic sample representative of the Mexican population. With a response rate of 51.3 and 60.8% for the second and third waves, the final sample size consisted of 1,074 individuals. The primary outcome was persistent HFI, i.e., respondents who reported moderate or severe HFI in 2021 and 2022. Twelve income-related predictors were measured in 2020, including baseline HFI. We employed 6 supervised ML algorithms to cross-validate findings in models, examined its precision with 4 standard performance indicators to assess precision, and used SHAP values (Shapley Additive exPlanations) to identify influential predictors in each model. Results: Prevalence of persistent moderate/severe HFI in 2021 and 2022 was 8.8%. Models with only a HFI 2020 baseline measure were used as a reference for comparisons; they had an accuracy of 0.79, a Cohen's Kappa of 0.57, a sensitivity of 0.68, and a specificity of 0.88. When HFI was substituted by the suite of socioeconomic indicators, accuracy ranged from 0.70 to 0.84, Cohen's Kappa from 0.40 to 0.67, sensitivity from 0.86 to 0.90, and specificity from 0.75 to 0.82. The best performing models included baseline HFI and socioeconomic indicators; they had an accuracy between 0.81 and 0.92, a Cohen's Kappa between 0.61 and 0.85, a sensitivity from 0.74 to 0.95, and a specificity from 0.85 to 0.92. Influential and consistent predictors across the algorithms were baseline HFI, socioeconomic status (SES), adoption of financial coping strategies, and receiving government support. Discussion: Persistent HFI can be a relevant indicator to identify households that are less responsive to food security policies. These households should be prioritized for innovative government support and monitored to assess changes. Forecasting systems of HFI can be improved with longitudinal designs including baseline measures of HFI and socioeconomic predictors.

Adherence of Brazilian Minors to the 24-Hour Movement Guidelines after In-Person School Return.

The levels of adequacy of movement behaviors after returning to in-person school activities following the COVID-19 pandemic are not yet well understood. This study aimed to assess the adherence of Brazilian minors to the recommendations of the 24-Hour Movement Guidelines (moderate to vigorous physical activity, recreational screen time, and sleep duration), as well as overall adherence to these guidelines, after the relaxation of COVID-19 social isolation measures and the resumption of in-person schooling. A cross-sectional study was conducted with parents or guardians (39 ± 7.8) of minors aged up to 18 years of age (3.8 ± 2.5). A total of 172 individuals responded to the questionnaire. Data were compared with those obtained in the Survey of the Adequacy of Brazilian Children and Adolescents to the 24-Hour Movement Guidelines before and during the COVID-19 Pandemic. There was an 18.6 percentage decrease (p-value < 0.001) in overall adherence to the 24-Hour Movement Guidelines when comparing the periods before the COVID-19 pandemic (March 2020) and after the return to in-person schooling (March 2021). The largest percentage drop in adherence between these periods was observed for moderate to vigorous physical activity (27.4%; p-value < 0.001) and the lowest for sleep (10.5%; p-value < 0.001). Adherence to the 24-Hour Movement Guidelines did not return to pre-pandemic levels with the resumption of in-person school activities.

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine.

Introduction: The COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries. Utilizing data-driven predictive models presents a viable solution to address this pressing need. Aims: 1) To develop and compare machine learning (ML) models for predicting depression in Argentinean students during the pandemic. 2) To assess the performance of classification and regression models using appropriate metrics. 3) To identify key features driving depression prediction. Methods: A longitudinal dataset (N = 1492 college students) captured T1 and T2 measurements during the Argentinean COVID-19 quarantine. ML models, including linear logistic regression classifiers/ridge regression (LogReg/RR), random forest classifiers/regressors, and support vector machines/regressors (SVM/SVR), are employed. Assessed features encompass depression and anxiety scores (at T1), mental disorder/suicidal behavior history, quarantine sub-period information, sex, and age. For classification, models' performance on test data is evaluated using Area Under the Precision-Recall Curve (AUPRC), Area Under the Receiver Operating Characteristic curve, Balanced Accuracy, F1 score, and Brier loss. For regression, R-squared (R2), Mean Absolute Error, and Mean Squared Error are assessed. Univariate analyses are conducted to assess the predictive strength of each individual feature with respect to the target variable. The performance of multi- vs univariate models is compared using the mean AUPRC score for classifiers and the R2 score for regressors. Results: The highest performance is achieved by SVM and LogReg (e.g., AUPRC: 0.76, 95% CI: 0.69, 0.81) and SVR and RR models (e.g., R2 for SVR and RR: 0.56, 95% CI: 0.45, 0.64 and 0.45, 0.63, respectively). Univariate models, particularly LogReg and SVM using depression (AUPRC: 0.72, 95% CI: 0.64, 0.79) or anxiety scores (AUPRC: 0.71, 95% CI: 0.64, 0.78) and RR using depression scores (R2: 0.48, 95% CI: 0.39, 0.57) exhibit performance levels close to those of the multivariate models, which include all features. Discussion: These findings highlight the relevance of pre-existing depression and anxiety conditions in predicting depression during quarantine, underscoring their comorbidity. ML models, particularly SVM/SVR and LogReg/RR, demonstrate potential in the timely detection of at-risk students. However, further studies are needed before clinical implementation.