As vertiginosas transformações das sociedades contemporâneas têm colocado em questão, de modo cada vez mais incisivo, os aspectos relativos à formação profissional. Este debate ganha contornos próprios no trabalho em saúde, na medida em que a indissociabilidade entre teoria e prática, o desenvolvimento de uma visão integral do homem e a ampliação da concepção de cuidado tornam-se prementes para o adequado desempenho laboral. Com base nestas considerações, o objetivo do presente artigo é discutir as principais transformações metodológicas no processo de formação dos profissionais de saúde, com ênfase na apreciação das metodologias ativas de ensino-aprendizagem.

Infectious diseases continue to impose unpredictable burdens on global health and economies, a subject that requires constant research and updates. In this sense, the objective of the present article was to review studies on the role of wild animals as reservoirs and/or dispersers of etiological agents of human infectious diseases in order to compile data on the main wild animals and etiological agents involved in zoonotic outbreaks. A systematic review was carried out using PRISMA guidelines, using the PubMed, Scopus and SciELO platforms as data banks. The descriptors used were "zoonosis", "human infectious diseases" and "wild animals". The results show that wild animals (mainly bats, birds and primates) play an important role in the dissemination of etiological agents (mainly viruses, as a new coronavirus called 2019 Novel Coronavirus) in extensive geographic regions. Moreover, these wild animal organisms can act as the site for essential biotic synergy among several pathogenic microorganisms, promoting a higher rate of adaptation, mutation and even genetic recombination, with consequent stimulation of new strains and subtypes, inducing new infectious agents with unknown virulent potential. In conclusion, the monitoring of these diseases and adequate preparation for possible epidemics and pandemics are fundamental conditions for the mitigation of their future impact. The zoonotic threat of these etiological agents and the impact on public health can be enormous as shown by the ongoing epidemic of 2019 novel coronavirus (2019- nCoV) infections.

The evaluation of food intake is important in scientific research and clinical practice to understand the relationship between diet and health conditions of an individual or a population. Large volumes of data are generated daily in the health sector. In this sense, Artificial Intelligence (AI) tools have been increasingly used, for example, the application of Machine Learning (ML) algorithms to extract useful information, find patterns, and predict diseases. This systematic review aimed to identify studies that used ML algorithms to assess food intake in different populations. A literature search was conducted using five electronic databases, and 36 studies met all criteria and were included. According to the results, there has been a growing interest in the use of ML algorithms in the area of nutrition in recent years. Also, supervised learning algorithms were the most used, and the most widely used method of nutritional assessment was the food frequency questionnaire. We observed a trend in using the data analysis programs, such as R and WEKA. The use of ML in nutrition is recent and challenging. Therefore, it is encouraged that more studies are carried out relating these themes for the development of food reeducation programs and public policies.

The newly discovered SARS-CoV-2 is the cause of COVID-19, including severe respiratory symptoms with an important lethality rate and high dissemination capacity. Considering the indigenous people of Brazil, it is feared that COVID-19 will spread to these communities, causing another stage of decimation. Despite advances in indigenous health care in the country, there are still many challenges due to the social vulnerability of this population, whose lands continue to be illegally exploited. Based on these considerations, this article discusses challenges in caring for the indigenous population in the context of the COVID-19 pandemic in Brazil.

Analisar a lógica da organização da gestão de recursos humanos em nível da atenção primária em saúde, desde a perspectiva dos gestores municipais - protagonistas das ações de saúde nos municípios brasileiros -, repensando o processo de descentralização a partir da mediação entre as orientações do Governo Federal e a dimensão do cotidiano dos serviços. Estudo transversal, com utilização de questionário semi-estruturado, aplicado aos secretários municipais de saúde da macrorregião sanitária Leste do Sul (Minas Gerais, Brasil). Os secretários municipais de saúde tinham média de idade de 39,4 anos, reduzido nível de escolaridade, observando-se que boa parte dos mesmos não era da área de saúde. Em relação aos trabalhadores do Programa Saúde da Família, as prefeituras são responsáveis por 93,3% dos contratos dos profissionais de saúde, os quais são vinculações tipicamente temporárias. Os achados ratificam a defasagem dos direitos políticos e sociais dos trabalhadores, com o paradoxo de ser o Estado - via gestão municipal - o responsável pelo descumprimento das leis, importante questão a ser ponderada.