Renato Vieira Alves

One Health (OH) is an integrative approach to human, animal, and environmental health and can be used as a comprehensive indicator for comparative purposes. Although an OH index has been proposed for comparing cities, states, and countries, to date, no practical study has compared countries using this approach. Accordingly, this study aimed to assess OH initiatives using a survey with a veterinary public health focus. The questionnaire contained 104 quantitative questions and was sent to representatives of governmental institutions of 32 countries in the Americas. After exclusion criteria were considered, a total of 35 questionnaires from 17 countries were analyzed, with country names remaining undisclosed during the statistical analyses to protect potentially sensitive information. Principal component analysis (PCA) of health parameters in Latin America and the Caribbean (LAC) as a function of country perception (self-vector) showed that food safety was ranked higher than public policies (p = 0.009), and that both (p = 0.003) were ranked higher than institutional routines related to zoonosis programs. National policies in accordance with international standards, regulations, recommendations, and guidelines was considered the standout topic for public policy, with higher-ranking topics including standard. Meanwhile, challenging topics included tools, preparedness, governance, and research. Food safety showed both strengths and challenges in the coordination of its activities with other sectors. Food safety communication was scored as a strength, while foodborne diseases prevention was ranked as a challenge. Institutional routines for zoonosis maintained both strong and challenging topics in the execution and implementation of attributions and daily routine. Thus, the survey showed that topics such as access to and compliance with international guidelines and intercountry integration were ranked higher than in-country articulation, particularly among food safety, zoonoses, and environmental institutions.

Lista de Siglas/Abreviaturas 18 F-FDG – fluordesoxiglicose marcado com flúor-18 123 I-MIBG – meta-iodo-benzil-guanidina marcado com iodo-123 […] Diretriz da SBC sobre Diagnóstico e Tratamento de Pacientes com Cardiomiopatia da Doença de Chagas – 2023 Lista de Siglas/Abreviaturas 18 F-FDG – fluordesoxiglicose marcado com flúor-18 123 I-MIBG – meta-iodo-benzil-guanidina marcado com iodo-123 […] Diretriz da SBC sobre Diagnóstico e Tratamento de Pacientes com Cardiomiopatia da Doença de Chagas – 2023

Nationwide disease surveillance at a high spatial resolution is desired for many infectious diseases, including Visceral Leishmaniasis. Statistical and mathematical models using data collected from surveillance activities often use a spatial resolution and scale either constrained by data availability or chosen arbitrarily. Sensitivity of model results to the choice of spatial resolution and scale is not, however, frequently evaluated. This study aims to determine if the choice of spatial resolution and scale are likely to impact statistical and mathematical analyses. Visceral Leishmaniasis in Brazil is used as a case study. Probabilistic characteristics of disease incidence, representing a likely outcome in a model, are compared across spatial resolutions and scales. Best fitting distributions were fit to annual incidence from 2004 to 2014 by municipality and by state. Best fits were defined as the distribution family and parameterization minimizing the sum of absolute error, evaluated through a simulated annealing algorithm. Gamma and Poisson distributions provided best fits for incidence, both among individual states and nationwide. Comparisons of distributions using Kullback-Leibler divergence shows that incidence by state and by municipality do not follow distributions that provide equivalent information. Few states with Gamma distributed incidence follow a distribution closely resembling that for national incidence. These results demonstrate empirically how choice of spatial resolution and scale can impact mathematical and statistical models.

The large number of activities contributing to zoonoses surveillance and control capability, on both human and animal domains, and their likely heterogeneous implementation across administrative units make assessment and comparisons of capability performance between such units a complex task. Such comparisons are important to identify gaps in capability development, which could lead to clusters of vulnerable areas, and to rank and subsequently prioritize resource allocation toward the least capable administrative units. Area-level preparedness is a multidimensional entity and, to the best of our knowledge, there is no consensus on a single comprehensive indicator, or combination of indicators, in a summary metric. We use Bayesian spatial factor analysis models to jointly estimate and rank disease control and surveillance capabilities against visceral leishmaniasis (VL) at the municipality level in Brazil. The latent level of joint capability is informed by four variables at each municipality, three reflecting efforts to monitor and control the disease in humans, and one variable informing surveillance capability on the reservoir, the domestic dog. Because of the large volume of missing data, we applied imputation techniques to allow production of comprehensive rankings. We were able to show the application of these models to this sparse dataset and present a ranked list of municipalities based on their overall VL capability. We discuss improvements to our models, and additional applications.

Visceral leishmaniasis (VL) is a neglected tropical disease of public health relevance in Brazil. To prioritize disease control measures, the Secretaria de Vigilância em Saúde of Brazil’s Ministry of Health (SVS/MH) uses retrospective human case counts from VL surveillance data to inform a municipality-based risk classification. In this study, we compared the underlying VL risk, using a spatiotemporal explicit Bayesian hierarchical model (BHM), with the risk classification currently in use by the Brazil’s Ministry of Health. We aim to assess how well the current risk classes capture the underlying VL risk as modelled by the BHM. Annual counts of human VL cases and the population at risk for all Brazil’s 5564 municipalities between 2004 and 2014 were used to fit a relative risk BHM. We then computed the predicted counts and exceedence risk for each municipality and classified them into four categories to allow comparison with the four risk categories by the SVS/MH. Municipalities identified as high-risk by the model partially agreed with the current risk classification by the SVS/MH. Our results suggest that counts of VL cases may suffice as general indicators of the underlying risk, but can underestimate risks, especially in areas with intense transmission. According to our BHM the SVS/MH risk classification underestimated the risk in several municipalities with moderate to intense VL transmission. Newly identified high-risk areas should be further evaluated to identify potential risk factors and assess the needs for additional surveillance and mitigation efforts.

A PCM é causada por um fungo termodimórfico do gênero Paracoccidioides spp., que engloba duas espécies: Paracoccidioides brasiliensis (P. brasiliensis) e Paracoccidioides lutzii (P. lutzii).^1,2 Estudos filogenéticos identificaram no P. brasiliensis cinco clusters que permitem o conhecimento acerca da distribuição das espécies no continente americano; porém, ainda não se consegue determinar a real incidência de cada espécie filogenética e sua relação com as características clínicas.³ Da mesma forma, tem-se observado que a variação antigênica específica no P. lutzii é muito grande. Eis um dos maiores problemas enfrentados no diagnóstico sorológico.^4,5,6

O objetivo do artigo foi confirmar e descrever um surto da doença de Chagas aguda por transmissão oral na mesorregião Oeste Potiguar, Rio Grande do Norte, Brasil. Trata-se de um estudo descritivo do tipo série de casos, tendo como fonte de dados os registros de atendimentos médicos e entrevistas com os casos suspeitos entre 16 de setembro e 19 de novembro de 2015. Realizou-se pesquisa entomológica nas prováveis localidades de infecção dos casos de doença de Chagas aguda. Foram confirmados 18 casos de doença de Chagas aguda em residentes de quatro municípios do Rio Grande do Norte. Os sinais e sintomas mais relatados foram febre e fraqueza (n = 18), seguidos de mialgia (n = 17), prostração, inapetência e edema de membros inferiores (n = 15). A mediana de duração da febre foi de 20 dias (intervalo: 6 a 45 dias). Quinze casos foram confirmados por critério laboratorial e três por vínculo epidemiológico com clínica compatível. Todos os casos confirmados relataram ter consumido caldo de cana da mesma procedência. Foram capturados 110 triatomíneos na fazenda onde ocorreu a moagem da cana consumida. Os insetos estavam no peridomicílio, em amontoados de lenha e próximos ao engenho. A maioria dos exemplares capturados era da espécie Triatoma brasiliensis, e apresentou um índice de infecção natural de 63%. Foi confirmado surto da doença de Chagas de transmissão oral por ingestão de caldo de cana contaminado por triatomíneo infectado, evidenciado pelo vínculo epidemiológico entre os casos investigados e a pesquisa entomológica no local provável de infecção.

Chagas is a potentially fatal chronic disease affecting large numbers of people across the Americas and exported throughout the world through human population movement. It is caused by the Trypanosoma cruzi parasite, which is transmitted by triatomine vectors to humans and a wide range of alternative host species. The database described here was compiled to allow the risk of vectorial transmission to humans to be mapped using geospatial models. The database collates all available records, published since 2003, for prevalence and occurrence of infection in humans, vectors and alternative hosts, and links each record to a defined time and location. A total of 16,802 records of infection have been extracted from the published literature and unpublished sources. The resulting database can be used to improve our understanding of the geographic variation in vector infection prevalence and to estimate the risk of vectorial transmission of T. cruzi to humans.

Em 2010 foi criada no Brasil, pelo Ministério da Saúde e pelo Laboratório de Referência em Triatomíneos e Epidemiologia da Doença de Chagas da Fundação Oswaldo Cruz a “Rede de Monitoramento da Resistência de Triatomíneos aos Inseticidas” com vistas a: 1) caracterizar e monitorar a suscetibilidade/resistência das populações triatomínicas brasileiras aos inseticidas, 2) desenvolver métodos destinados ao diagnóstico da resistência dos triatomíneos aos inseticidas e 3) contribuir na avaliação e melhoria das atividades desenvolvidas junto ao controle químico dos triatomíneos. A implantação desta iniciativa, que possui hoje reconhecimento internacional junto a Organização Mundial de Saúde, está apresentada neste trabalho de forma detalhada