Assessment of the pathogen genomics landscape highlights disparities and challenges for effective AMR Surveillance and outbreak response in the East African community.

The East African Community (EAC) grapples with many challenges in tackling infectious disease threats and antimicrobial resistance (AMR), underscoring the importance of regional and robust pathogen genomics capacities. However, a significant disparity exists among EAC Partner States in harnessing bacterial pathogen sequencing and data analysis capabilities for effective AMR surveillance and outbreak response. This study assesses the current landscape and challenges associated with pathogen next-generation sequencing (NGS) within EAC, explicitly focusing on World Health Organization (WHO) AMR-priority pathogens. The assessment adopts a comprehensive approach, integrating a questionnaire-based survey amongst National Public Health Laboratories (NPHLs) with an analysis of publicly available metadata on bacterial pathogens isolated in the EAC countries. In addition to the heavy reliance on third-party organizations for bacterial NGS, the findings reveal a significant disparity among EAC member States in leveraging bacterial pathogen sequencing and data analysis. Approximately 97% (n = 4,462) of publicly available high-quality bacterial genome assemblies of samples collected in the EAC were processed and analyzed by external organizations, mainly in Europe and North America. Tanzania led in-country sequencing efforts, followed by Kenya and Uganda. The other EAC countries had no publicly available samples or had all their samples sequenced and analyzed outside the region. Insufficient local NGS sequencing facilities, limited bioinformatics expertise, lack of adequate computing resources, and inadequate data-sharing mechanisms are among the most pressing challenges that hinder the EAC's NPHLs from effectively leveraging pathogen genomics data. These insights emphasized the need to strengthen microbial pathogen sequencing and data analysis capabilities within the EAC to empower these laboratories to conduct pathogen sequencing and data analysis independently. Substantial investments in equipment, technology, and capacity-building initiatives are crucial for supporting regional preparedness against infectious disease outbreaks and mitigating the impact of AMR burden. In addition, collaborative efforts should be developed to narrow the gap, remedy regional imbalances, and harmonize NGS data standards. Supporting regional collaboration, strengthening in-country genomics capabilities, and investing in long-term training programs will ultimately improve pathogen data generation and foster a robust NGS-driven AMR surveillance and outbreak response in the EAC, thereby supporting global health initiatives.

Long term follow-up of heart rate variability in healthcare workers with mild COVID-19.

Introduction: Prior investigations into post-COVID dysautonomia often lacked control groups or compared affected individuals solely to healthy volunteers. In addition, no data on the follow-up of patients with SARS-CoV-2-related autonomic imbalance are available. Methods: In this study, we conducted a comprehensive clinical and functional follow-up on healthcare workers (HCWs) with former mild COVID-19 (group 1, n = 67), to delineate the trajectory of post-acute autonomic imbalance, we previously detected in a case-control study. Additionally, we assessed HCWs for which a test before SARS-CoV-2 infection was available (group 2, n = 29), who later contracted SARS-CoV-2, aiming to validate findings from our prior case-control investigation. We evaluated autonomic nervous system heart modulation by means of time and frequency domain heart rate variability analysis (HRV) in HCWs during health surveillance visits. Short-term electrocardiogram (ECG) recordings, were obtained at about 6, 13 months and both at 6 and 13 months from the negative SARS-CoV-2 naso-pharyngeal swab (NPS) for group 1 and at about 1-month from the negative NPS for group 2. HCWs who used drugs, had comorbidities that affected HRV, or were hospitalized with severe COVID-19 were excluded. Results: Group 1 was split into three subgroups clinically and functionally followed at, about 6 months (subgroup-A, n = 17), 13 months (subgroup-B, n = 37) and both at 6 and 13 months (subgroup-C, n = 13) from the negative SARS-CoV-2 NPS. In subgroup-A, at 6-month follow-up compared with baseline, the spectral components in the frequency domain HRV parameters, showed an increase in normalized high frequency power (nHF) (t = 2.99, p = 0.009), a decrease in the normalized low frequency power (nLF) (t = 2.98, p = 0.009) and in the LF/HF ratio (t = 3.13, p = 0.006). In subgroup B, the comparison of the spectral components in the frequency domain HRV parameters, at 13-month follow-up compared with baseline, showed an increase in nHF (t = 2.54, p = 0.02); a decrease in nLF (t = 2.62, p = 0.01) and in the LF/HF ratio (t = 4.00, p = 0.0003). In subgroup-C, at both 6 and 13-month follow-ups, the spectral components in the frequency domain HRV parameters were higher than baseline in nHF (t = 2.64, p = 0.02 and (t = 2.13, p = 0.05, respectively); lower in nLF (t = 2.64, p = 0.02 and (t = 2.13, p = 0.05, respectively), and in LF/HF (t = 1.92, p = 0.08 and (t = 2.43, p = 0.03, respectively). A significant proportion of HCWs reported persistent COVID-19 symptoms at both the 6 and 13-month follow-ups, seemingly unrelated to cardiac autonomic balance. In group 2 HCWs, at 1-month follow-up compared with baseline, the spectral components in the frequency domain HRV parameters, showed a decrease in nHF (t = 2.19, p = 0.04); an increase in nLF (t = 2.15, p = 0.04) and in LF/HF (t = 3.49, p = 0.002). Conclusion: These results are consistent with epidemiological data suggesting a higher risk of acute cardiovascular complications during the first 30 days after COVID-19. The SARS-CoV-2 associated autonomic imbalance in the post-acute phase after recovery of mild COVID-19 resolved 6 months after the first negative SARS-CoV-2 NPS. However, a significant proportion of HCWs reported long-term COVID-19 symptoms, which dot not seems to be related to cardiac autonomic balance. Future research should certainly further test whether autonomic imbalance has a role in the mechanisms of long-COVID syndrome.

Corrigendum: Implementing a provisional overarching intervention for COVID-19 monitoring and control in the Brazil-Colombia-Peru frontier.

[This corrects the article DOI: 10.3389/fpubh.2023.1330347.].

Syndromic case definitions for lower respiratory tract infection (LRTI) are less sensitive in older age: an analysis of symptoms among hospitalised adults.

BACKGROUND: Lower Respiratory Tract Infections (LRTI) pose a serious threat to older adults but may be underdiagnosed due to atypical presentations. Here we assess LRTI symptom profiles and syndromic (symptom-based) case ascertainment in older (≥ 65y) as compared to younger adults (< 65y). METHODS: We included adults (≥ 18y) with confirmed LRTI admitted to two acute care Trusts in Bristol, UK from 1st August 2020- 31st July 2022. Logistic regression was used to assess whether age ≥ 65y reduced the probability of meeting syndromic LRTI case definitions, using patients' symptoms at admission. We also calculated relative symptom frequencies (log-odds ratios) and evaluated how symptoms were clustered across different age groups. RESULTS: Of 17,620 clinically confirmed LRTI cases, 8,487 (48.1%) had symptoms meeting the case definition. Compared to those not meeting the definition these cases were younger, had less severe illness and were less likely to have received a SARS-CoV-2 vaccination or to have active SARS-CoV-2 infection. Prevalence of dementia/cognitive impairment and levels of comorbidity were lower in this group. After controlling for sex, dementia and comorbidities, age ≥ 65y significantly reduced the probability of meeting the case definition (aOR = 0.67, 95% CI:0.63-0.71). Cases aged ≥ 65y were less likely to present with fever and LRTI-specific symptoms (e.g., pleurisy, sputum) than younger cases, and those aged ≥ 85y were characterised by lack of cough but frequent confusion and falls. CONCLUSIONS: LRTI symptom profiles changed considerably with age in this hospitalised cohort. Standard screening protocols may fail to detect older and frailer cases of LRTI based on their symptoms.

Molecular and spatial evaluation of small rodents and Didelphimorphis infected with Mycobacterium leprae in the southern Amazon, Brazil.

BACKGROUND: The high levels of recent transmission of leprosy worldwide demonstrate the necessity of epidemiologic surveillance to understand and control its dissemination. Brazil remains the second in number of cases around the world, indicating active transmission of Mycobacterium leprae (M. leprae) in the population. At this moment, there is a consensus that the bacillus is transmitted by inter-human contact, however, different serologic, molecular, and histopathological approaches indicate the existence of non-human transmission sources. METHODS AND RESULTS: The qPCR assay was used to amplify the molecular targets 16S RNAr and RLEP, in samples of liver, spleen, and ear of wild animals belonging to Didelphimorphia and Rodentia orders, in highly endemic areas of Mato Grosso, Brazil. The RLEP repetitive sequence was positive in 202 (89.0%) samples, with 96 (42.3%) of these also being positive for the 16S gene. Regarding the collection sites, it was observed that the animals were found in areas profoundly deforested, close to urban areas. CONCLUSIONS: Our results suggest that wild animals can play an important role in the maintenance of M. leprae in endemic regions with major anthropic action in Brazil. Therefore, integrating human, animal, and environmental health care with the One Health initiative is highly efficient for the development of effective strategies to contain and control leprosy in Brazil.

Schistosoma mansoni infection in residents of a riverside community in Eastern Amazon.

Schistosoma mansoni worms cause a waterborne parasitic disease called schistosomiasis. It commonly affects individuals in lack of sanitation structure. In Brazil, Pará state has Belém as one of the worst sanitation-ranking places in 2023, where schistosomiasis transmission was already documented. This study reports the occurrence of schistosomiasis in residents of Ilha das Onças, an island next to Belém. Stool samples were obtained from participants over 2 years old, all residents from Furo do Rio Grande, one of the rivers on the island. The Kato-Katz technique was performed for parasite investigation in the stool samples. Each participant responded to a sociodemographic and clinical questionnaire. The residences were georeferenced for map designing. Three out of 263 participants were S. mansoni positive, all men, ages ranging from 19 to 41 years old, with low parasitic load. Malacological surveys were carried out, but no Biomphalaria snails were found. Risk factors for schistosomiasis establishment are present on the island, and the lack of sanitation makes it a potential risk area. Malacological surveys are highly encouraged as preventive measures, as well as health surveillance for riverside populations, generating data that will help health authorities in the management and planning of preventive control actions.

Dentistry and Bioterrorism: A Legitimate Threat.

Bioterrorism involves the deliberate release of harmful biological agents, such as bacteria and viruses, aimed at causing mass casualties within a population. Often referred to as "poor man's nuclear weapons," chemical and biological weapons pose a significant threat due to their potential for mass destruction. Detecting and preventing bioterrorist attacks is challenging, making them one of the most feared scenarios. Dentistry plays a crucial role in responding to bioterrorism and other catastrophic events, leveraging its personnel and facilities effectively. This paper explores the signs and symptoms of biological agents used in mass destruction, as well as the oral and dental manifestations of both naturally occurring and bioengineered infectious agents. Furthermore, the article stresses the importance of countermeasures against bioterrorism, including deterrence, prevention, surveillance, medical management, and training. Emphasis is placed on implementing surveillance systems, bolstering medical readiness, and conducting training programs to effectively detect, assess, and respond to bioterrorism threats. Ultimately, the article underscores the critical role of dentists and healthcare professionals in collaborative efforts to mitigate the impacts of bioterrorism through proactive measures.

Strengthening disease surveillance capacity at national level across five countries: a qualitative study.

OBJECTIVES: Disease surveillance is an essential component of public health and a core function of National Public Health Institutes (NPHIs), including to better prepare and respond to infectious diseases outbreaks. Strengthening NPHIs in their efforts to establish and maintain efficient surveillance systems is an opportunity to ensure future outbreak preparedness and response; yet, guidance on how to increase and prioritise capacity building efforts is limited. This study sought to investigate approaches to capacity building and training for disease surveillance at national level and understand the potential role of NPHIs. STUDY DESIGN: Qualitative study. METHODS: This is a qualitative study, based on a literature review and interviews undertaken between June and November 2022. Fifty seven in-depth interviews were conducted in five countries: Côte d'Ivoire, Ecuador, Madagascar, Namibia, and the Kingdom of Saudi Arabia. Participants included a range of professionals from government, NPHIs, academic institutions and the private sector. Interviews were thematically analysed. RESULTS: Selected countries varied in terms of their disease surveillance capacities, as well as in the structure of their surveillance systems and decision-making. Research identified shared priority areas for action at national level, identifying common challenges and opportunities: 1) capacity building, here specifically the need for a training agenda at national level to ensure sustainability and guide donor funded training offers; 2) data tools and technology-to help decision-makers select the best software tool to address countries' identified need; 3) data sharing-the need for clear data sharing standards and norms for national to international data sharing; and 4) genomic sequencing-the need for national genomic surveillance strategies and reporting guidelines. CONCLUSION: Addressing challenges and using opportunities to strengthen disease surveillance at national level is an important step to build capacity in this area and to help prevent future epidemic and pandemics globally. The findings of this study help decision-makers to identify priority areas for capacity building and understand the potential role and significance of NPHIs.

Epidemiological surveillance and infectious disease outbreaks during mass international summertime sports gatherings: A narrative review.

The XXXIIIrd Paris Summer Olympics followed by the XVIIth Paralympics Games will take place in France, predominantly in and around Paris, from July 26 to September 8, 2024. Public health stakeholders and decision-makers are called upon to set up or strengthen surveillance systems in areas hosting Olympic or Paralympic Games (OPGs) or large-scale international competitions, the objective being to detect and manage outbreaks should they occur during that period. We undertook a narrative review of the literature so as to identify major reported infectious disease outbreaks linked with or during OPGs / international sporting events during warm seasons. Our review found that since 1992, Summer Olympic and Paralympic games and international football competitions have been associated with sporadic cases of infectious diseases, principally respiratory, gastrointestinal/foodborne, but not with any major communicable or other infectious disease outbreak. Communicable disease risks should be assessed for the population taken as a whole, an integrated ecosystem with several population compartments potentially exchanging pathogens among one another. Although the Games afford an opportunity to federate or invent new surveillance systems to fill a gap, surveillance should be based on existing medical and laboratory systems, proven tools reinforced with the necessary human and financial resources. The performance of the public health surveillance system is ultimately predicated on trust on the part of participating clinicians, policymakers and international partners.

Bringing the Public Health Informatics and Technology Workforce Together: The PHIAT Conference.

The field of public health informatics has undergone significant evolution in recent years, and advancements in technology and its applications are imperative to address emerging public health challenges. Interdisciplinary approaches and training can assist with these challenges. In 2023, the inaugural Public Health Informatics and Technology (PHIAT) Conference was established as a hybrid 3-day conference at the University of California, San Diego, and online. The conference's goal was to establish a forum for academics and public health organizations to discuss and tackle new opportunities and challenges in public health informatics and technology. This paper provides an overview of the quest for interest, speakers and topics, evaluations from the attendees, and lessons learned to be implemented in future conferences.

Prevalence of post-traumatic stress disorder and depressive symptoms among civilians residing in armed conflict-affected regions: a systematic review and meta-analysis.

Background: Globally, populations afflicted by armed conflict are known to have high rates of mental health disorders. Aims: This meta-analysis aims to estimate the prevalence of post-traumatic stress disorder (PTSD) and depressive symptoms among civilians residing in armed conflict-affected regions. Methods: This meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A literature search employing MEDLINE(R), Embase Classic+Embase, APA PsycINFO, Ovid Healthstar, Journal@Ovid Full Text, Cochrane, PTSDpubs and CINAHL was conducted from inception until 19 March 2024 to identify relevant studies. Quality assessment was performed using the Joanna Briggs Institute Critical Appraisal Checklist for Prevalence Studies, and a Comprehensive Meta-Analysis was used to conduct the statistical analysis. Results: The search yielded 38 595 articles, of which 57 were considered eligible for inclusion. The included studies comprised data from 64 596 participants. We estimated a prevalence of 23.70% (95% CI 19.50% to 28.40%) for PTSD symptoms and 25.60% (95% CI 20.70% to 31.10%) for depressive features among war-afflicted civilians. The subgroup analysis based on time since the war and the country's economic status revealed the highest prevalence for both PTSD and depressive symptoms was present during the years of war and in low/middle-income countries. Conclusions: The results of this study provide conclusive evidence of the detrimental impacts of armed conflict on mental health outcomes. Hence, it is crucial to emphasise the significance of both physical and mental health in the aftermath of war and take appropriate humanistic measures to overcome challenges in the management of psychiatric illnesses. PROSPERO registration number: CRD42023416096.

Demographic characteristics, perinatal smoking patterns, and risk for neonatal health complications among pregnant smokers in the United States who begin using electronic cigarettes during pregnancy: A descriptive study using population-based surveillance data.

INTRODUCTION: Health agencies have called for research evaluating e-cigarette (EC) use in supporting prenatal smoking cessation. This study aimed to describe (a) characteristics of smokers who begin using ECs during pregnancy, (b) how frequently smokers reduce or eliminate pre- and post-natal combustible cigarette (CC) use, and (c) risk for neonatal health complications among smokers who initiate ECs during pregnancy. METHODS: Pregnant women using CCs exclusively pre-pregnancy, who participated in a U.S. surveillance study, were classified by their reported late-pregnancy smoking behavior as CC-exclusive users, EC initiators, or quitters. EC initiators were further subclassified as dual users (used both ECs and CCs) or EC replacers (used ECs exclusively). RESULTS: Of 29,505 pregnant smokers, 1.5% reported using ECs during the last 3 pregnancy months. Among them, 29.7% became EC-exclusive users. EC initiators were disproportionately non-Hispanic White. Relative to quitters, EC initiators had lower income, were less likely to be married, have intended pregnancies, receive first-trimester prenatal care, and participate in a federal assistance program. Compared to CC-exclusive users, EC initiators overall, and dual users specifically, were more likely to reduce pre- and post-natal CC usage relative to pre-pregnancy levels. EC initiators' risk for neonatal health complications fell between quitters and CC-exclusive users, though differences were not statistically significant. CONCLUSIONS: Although EC initiators reduced CC use more than CC-exclusive users, only 29.7% reported complete CC cessation, and there was insufficient evidence of reduction in neonatal health complications relative to CC-exclusive users. Currently, ECs should not be considered a viable gestational smoking cessation strategy. IMPLICATIONS: Health agencies have identified a critical need for research evaluating the use of e-cigarettes in supporting prenatal smoking cessation. Using the US Pregnancy Risk Assessment Monitoring System surveillance study data, we provide real-world evidence that prenatal e-cigarette initiation as a smoking cessation tool is used infrequently among pregnant combustible cigarettes smokers. Most using e-cigarettes in the last three months of pregnancy also used combustible cigarettes.

MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.

Objectives: The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline. Materials and Methods: The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database. Results: Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed. Discussion: OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data. Conclusion: MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.

A regionally tailored epidemiological forecast and monitoring program to guide a healthcare system in the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, analytics and predictive models built on regional data provided timely, accurate monitoring of epidemiological behavior, informing critical planning and decision-making for health system leaders. At Atrium Health, a large, integrated healthcare system in the southeastern United States, a team of statisticians and physicians created a comprehensive forecast and monitoring program that leveraged an array of statistical methods. METHODS: The program utilized the following methodological approaches: (i) exploratory graphics, including time plots of epidemiological metrics with smoothers; (ii) infection prevalence forecasting using a Bayesian epidemiological model with time-varying infection rate; (iii) doubling and halving times computed using changepoints in local linear trend; (iv) death monitoring using combination forecasting with an ensemble of models; (v) effective reproduction number estimation with a Bayesian approach; (vi) COVID-19 patients hospital census monitored via time series models; and (vii) quantified forecast performance. RESULTS: A consolidated forecast and monitoring report was produced weekly and proved to be an effective, vital source of information and guidance as the healthcare system navigated the inherent uncertainty of the pandemic. Forecasts provided accurate and precise information that informed critical decisions on resource planning, bed capacity and staffing management, and infection prevention strategies. CONCLUSIONS: In this paper, we have presented the framework used in our epidemiological forecast and monitoring program at Atrium Health, as well as provided recommendations for implementation by other healthcare systems and institutions to facilitate use in future pandemics.

Non-traditional sources for health surveillance: using emergency data for early-detection / O uso de fontes não-tradicionais para a vigilância em saúde: atendimentos de urgência para detecção precoce de eventos

Preparation and response to Public Health emergencies involve efforts in developing systems for early detection, alert and response. Models for dealing with notification delay and diversification of data sources are some of the commonly used strategies for faster information and action. In this paper, we present the strategy implemented in Rio de Janeiro municipality, where data from urgency and emergency visits were acquired and modeled, in order to detect trend shifts and generate alerts. From the ICD-10 field in electronic records, time series representing events of interest were created. A GAM model was fitted for smoothing, slope determination in each point, and alert generation. The results obtained are displayed in a dashboard, monitored daily. From 2023, multiple events of interest were identified through the dashboard, some of which lead to coordinated communication and actions in the territory. We draw attention to the potentials in the use of these type of data on identifying events of interest in a timely manner, approaching the concepts of a modern surveillance.

A preparação e resposta às emergências em Saúde Pública envolve o investimento em sistemas de detecção precoce, alerta e resposta. Modelos de correção de atraso de notificação e a diversificação de fontes de dados utilizadas são algumas abordagens comumente utilizadas para geração de informação e ação mais oportunos. Neste artigo é apresentada a estratégia implementada no município do Rio de Janeiro de utilização de dados de atendimentos de urgência e emergência unida à aplicação de modelos de detecção de tendências para geração automatizada de alertas. A partir de CIDs marcados nos prontuários eletrônicos de atendimentos, monitoram-se séries temporais de eventos de interesse no município. Um modelo GAM é ajustado às séries para suavização, determinação da inclinação e geração dos alertas. Os resultados são exibidos em painel e monitorados diariamente. Desde 2023, múltiplos eventos de interesse foram identificados através do painel e resultaram em comunicação coordenada e ações no território. Os resultados exaltam a potencialidade no uso desses dados na identificação de eventos de interesse em tempo oportuno, alinhando-se a conceitos de uma vigilância moderna.

The expansion of the medical Cannabis market in Brazil and regulatory gaps / A expansão do mercado da Cannabis medicinal no Brasil e as lacunas regulatórias

Expenditures with public provision of Cannabis products in Brazil are rising and have reached over 150 million reais. Growing interest in these products is the result of initiatives by various manufacturers, which are authorized to produce and sell, and by importers, that enable entry of more than 500 different products, from several countries. The present scenario is of increase in demand and of insufficient regulation, compounded by low quality of evidence for possible indications. Regulatory voids open pathways for market practices that may be unaligned with public health interests. The result is an ever-greater number of companies striving to operate in this lucrative and flexible market niche. Anvisa has created alternatives for patient access to Cannabis-containing products, which are not recognized as medicines, and which therefore have not been assessed as to effectiveness, safety or quality. This amounts to a serious regulatory breach, since these products that are supplied through the SUS do not comply to legal health standards. Anvisa is expected to take a firm stance in relation to Cannabis products regulation, regarding indications, acknowledged scientific evidence and availability of those authorized for sale and importation in the country.

Os gastos com fornecimento público de produtos contendo Cannabis no Brasil é crescente e atualmente atinge mais de R$ 150 milhões. O crescente interesse por esses produtos é resultado da atuação de diversas indústrias no Brasil, que possuem autorização sanitária para fabricação e comercialização, e de importadores, que viabilizam a entrada de mais de 500 produtos atualmente autorizados para importação, originários de diversos países. O cenário atual é de demanda crescente e regulação insuficiente, complementado pela baixa qualidade de evidências para possíveis indicações. As lacunas normativas abrem caminhos para um mercado nem sempre alinhado aos interesses sanitários. O resultado é o aumento progressivo do número de empresas buscando atuar nesse nicho, que se mostra lucrativo e permeável. A Anvisa criou alternativas para permitir que os produtos contendo Cannabis, que não são medicamentos e, portanto, que não foram avaliados quanto a eficácia, segurança ou qualidade, sejam acessados por pacientes, o que torna grave o fornecimento, pelo SUS, pois os produtos não atendem ou não se adequam aos requisitos sanitários previstos na legislação. Espera-se que a Anvisa se posicione mais assertivamente no que tange à regulação da Cannabis, tanto em relação aos usos indicados, de acordo com evidências disponíveis, como em relação à disponibilidade de produtos autorizados para importação e comercialização no país.

[Comparison of the application of new and old specification for occupational health surveillance of radiation workers and analysis of influencing factors].

Objective: To investigate the impact of the implementation of GBZ 98-2020 "Health Requirements and Surveillance Specifications for Radiation Worker" on the results of occupational health examination for radiation workers. Methods: In April 2022, the subjects of the study were the radiation workers who underwent occupational health examination in Occupational Disease Prevention and Treatment Institute of Hefei. The radiation workers whose registration period was from May 1, 2021 to April 30, 2022 were the new standard group, and the occupational health surveillance standard was GBZ 98-2020 "Health Requirements and Surveillance Specifications for Radiation Worker". The radiationl workers registered from May 1, 2020 to April 30, 2021 were the old standard group, whose occupational health surveillance standards were GBZ 98- 2017 "Health Requirements for Radiation Workers" and GBZ 235-2011 "Specifications for Occupational Health Surveillance for Radiation Workers". To analyze whether there were differences between the two groups in the detection rate of missing items in the examination, re-examination, and the detection rate of occupational contraindications. The radiation workers whose occupational health examination results showed re-examination and/or occupational contraindications were judged to be in the unqualified group. Univariate and multivariate logistic regression analysis was used to find the factors affecting the determination of unqualified group. Results: The missing item detection rate of radiation workers in the new standard group was 3.04% (63/2074) , significantly higher than that in the old standard group (0.68%, 14/2054) (P<0.05) . The re-examination and occupational contraindications detection rates in the new standard group were 5.93% (123/2074) and 0.58% (12/2074) , respectively, which were significantly lower than those in the old standard group (13.83%, 284/2054) and 2.34% (48/2054) (P<0.05) . The missing item detection rate of males in the new standard group was 2.78% (40/1440) , which was significantly higher than that in the old standard group (0.72%, 11/1536) (P<0.05) . The re-examination and occupational contraindications detection rates of males in the new standard group were 3.61% (52/1440) and 0.21% (3/1440) , respectively, which were significantly lower than those in the old standard group (12.17%, 187/1536) and 2.08% (32/1536) (P<0.05) . The missing item detection rate of females in the new standard group was 3.63% (23/634) , which was significantly higher than that in the old standard group (0.58%, 3/518) (P<0.05) . The re-examination detection rate of females in the new standard group was 11.20% (71/634) , which was significantly lower than that of females in the old standard group (18.73%, 97/518) (P<0.05) . Univariate logistic regression analysis showed that gender, radiation classification, determination basis, occupational health examination category, and registration category were all influencing factors for the unqualified occupational health examination results of radiation workers (P<0.05) . Multivariate logistic regression analysis showed that the risk of being judged as unqualified based on the old standard was 2.466 times that of the new standard (95%CI: 1.975-3.080, P<0.05) , and the risk of being judged as unqualified for females was 1.869 times that of males (95%CI: 1.498-2.333, P<0.05) , the risk of being judged as unqualified for radiation workers during and after employment was 0.802 times that of pre-employment individuals (95%CI: 0.650-0.989, P<0.05) , and the risk of being judged as unqualified for re-examined individuals was 4.056 times that of initial examinees (95%CI: 3.161-5.203, P<0.05) . Conclusion: The results of occupational health examination of radiation workers are related to the determination basis, gender, occupational health examination category, and registration category. The implementation of GBZ 98-2020 "Health Requirements and Surveillance Specifications for Radiation Worker" may reduce the detection rate of unqualified personnel.

Epidemiological anomaly detection in Philippine public health surveillance data through Newcomb-Benford analysis.

BACKGROUND: Public health surveillance is vital for monitoring and controlling disease spread. In the Philippines, an effective surveillance system is crucial for managing diverse infectious diseases. The Newcomb-Benford Law (NBL) is a statistical tool known for anomaly detection in various datasets, including those in public health. METHODS: Using Philippine epidemiological data from 2019 to 2023, this study applied NBL analysis. Diseases included acute flaccid paralysis, diphtheria, measles, rubella, neonatal tetanus, pertussis, chikungunya, dengue, leptospirosis and others. The analysis involved Chi-square tests, Mantissa Arc tests, Mean Absolute Deviation (MAD) and Distortion Factor calculations. RESULTS: Most diseases exhibited nonconformity to NBL, except for measles. MAD consistently indicated nonconformity, highlighting potential anomalies. Rabies consistently showed substantial deviations, while leptospirosis exhibited closer alignment, especially in 2021. Annual variations in disease deviations were notable, with acute meningitis encephalitis syndrome in 2019 and influenza-like illness in 2023 having the highest deviations. CONCLUSIONS: The study provides practical insights for improving Philippine public health surveillance. Despite some diseases showing conformity, deviations suggest data quality issues. Enhancing the PIDSR, especially in diseases with consistent nonconformity, is crucial for accurate monitoring and response. The NBL's versatility across diverse domains emphasizes its utility for ensuring data integrity and quality assurance.

Unifying Public Health Surveillance: A Scoping Review of Global Use of the Youth Risk Behavior Survey.

PURPOSE: The Youth Risk Behavior Survey (YRBS) is a well-established surveillance tool designed to document the health risk behaviors of youth. However, there is limited insight into the use of the survey outside of the United States. The aim of this scoping review was to assess the global presence and utilization of the YRBS. METHODS: A structured electronic search of all publication years (through February 2020) was conducted to identify articles in PubMed and EBSCOhost. The search identified 128 articles that used the YRBS beyond the United States. RESULTS: More than one-third of all countries, territories, and dependencies were represented in the articles, with the greatest use among upper-middle and high-income economies and those in the East Asia and Pacific geographic region. Priority health-risk behaviors identified were alcohol and other drug use (51%), tobacco use (48%), and unintentional and intentional injuries (44%). The articles predominantly suggested that the survey data be used to influence programs, policies, and practices (57%). DISCUSSION: The development and proliferation of surveillance systems has allowed for important contributions to public health. Extensive use of the YRBS is notable; however, greater efforts are needed to support more systematic and collaborative approaches for evaluating youth behaviors around the world.

Prioritization of ethical concerns regarding HIV molecular epidemiology by public health practitioners and researchers.

BACKGROUND: HIV molecular epidemiology (HIV ME) can support the early detection of emerging clusters of new HIV infections by combining HIV sequence data routinely obtained during the clinical treatment of people living with HIV with behavioral, geographic, and sociodemographic information. While information about emerging clusters promises to facilitate HIV prevention and treatment efforts, the use of this data also raises several ethical concerns. We sought to assess how those working on the frontlines of HIV ME, specifically public health practitioners (PHPs) and researchers, prioritized these issues. METHODS: Ethical issues were identified through literature review, qualitative in-depth interviews, and stakeholder engagement. PHPs and researchers using HIV ME prioritized the issues using best-worst scaling (BWS). A balanced incomplete block design was used to generate 11 choice tasks each consisting of a sub-set of 5 ethical concerns. In each task, respondents were asked to assess the most and least concerning issue. Data were analyzed using conditional logit, with a Swait-Louviere test of poolability. Latent class analysis was then used to explore preference heterogeneity. RESULTS: In total, 57 respondents completed the BWS experiment May-June 2023 with the Swait-Louviere test indicating that researchers and PHPs could be pooled (p = 0.512). Latent class analysis identified two classes, those highlighting "Harms" (n = 29) (prioritizing concerns about potential risk of legal prosecution, individual harm, and group stigma) and those highlighting "Utility" (n = 28) (prioritizing concerns about limited evidence, resource allocation, non-disclosure of data use for HIV ME, and the potential to infer the directionality of HIV transmission). There were no differences in the characteristics of members across classes. CONCLUSIONS: The ethical issues of HIV ME vary in importance among stakeholders, reflecting different perspectives on the potential impact and usefulness of the data. Knowing these differences exist can directly inform the focus of future deliberations about the policies and practices of HIV ME in the United States.