RESUMO Objetivo: Descrever o desenvolvimento, a implementação e o uso de painéis para a análise epidemiológica de dados abertos durante a pandemia de COVID-19. Métodos: Os painéis foram criados para analisar dados públicos relacionados á COVID-19 de várias fontes, incluindo dados oficiais dos governos e de redes sociais, a nível global. Técnicas de processamento e limpeza foram utilizadas para aglutinar os bancos de dados. Calculamos o coeficiente de correlação de Spearman entre as curvas de sintomas gripais da pesquisa da Universidade de Maryland em conjunto com o Facebook, chamada COVID Trends and Impacts Survey (CTIS), e a curva de casos notificados pelo Ministério da Saúde no Brasil. Resultados: Os painéis obtiveram sucesso em antecipar a chegada de novas ondas de COVID-19 no Brasil. A análise do dado revelou a correlação entre a pesquisa CTIS e o número oficial de casos no país. O artigo destaca o potencial de painéis interativos como uma ferramenta de tomada de decisão no contexto de emergências de saúde pública, como, por exemplo, no uso destes para a comunicação oficial do governo do Rio Grande do Sul. Conclusão: O uso de painéis para prever o avanço da COVID-19 no Brasil foi uma ferramenta útil para a tomada de decisão. A antecipação de ondas da doença possibilita tempo oportuno para que essas decisões sejam potencialmente mais assertivas. Isso esboça a necessidade de mais ações interdisciplinares dessa natureza, com ferramentas de visualização nas pesquisas epidemiológicas.

ABSTRACT Objective: Describe the development, implementation, and utilization of dashboards for epidemiological analysis through open data research during the COVID-19 pandemic. Methods: The dashboards were designed to analyze COVID-19 related public data from various sources, including official government data and social media, at world level. Data processing and cleaning techniques were used to join datasets. We calculated Spearman correlation coefficient between the COVID-like symptoms data of the University of Maryland and Facebook Health research, called COVID Trends and Impacts Survey (CTIS) and the official data of notified COVID-19 cases by the Brazilian Health Ministry. Results: The dashboards were successful in predicting the onset of new waves of COVID-19 in Brazil. The data analysis revealed a correlation between the CTIS and the official number of cases the country. This article shows the potential of interactive dashboards as a decision-making tool in the context of public health emergencies, as it was used by the official communication of the Rio Grande do Sul state government. Conclusion: The use of dashboards for predicting the spread of COVID-19 in Brazil was a useful tool for decision-making. To anticipate waves of the disease gives time so that these decisions can be potentially more assertive. This drafts the need of more interdisciplinary actions of this nature, with visualization tools on epidemiologic research.

The interaction of HIV-1, human leukocyte antigen (HLA), and elite controllers (EC) compose a still intricate triad. Elite controllers maintain a very low viral load and a normal CD4 count, even without antiretrovirals. There is a lot of diversity in HIV subtypes and HLA alleles. The most common subtype in each country varies depending on its localization and epidemiological history. As we know EC appears to maintain an effective CD8 response against HIV. In this phenomenon, some alleles of HLAs are associated with a slow progression of HIV infection, others with a rapid progression. This relationship also depends on the virus subtype. Epitopes of Gag protein-restricted by HLA-B*57 generated a considerable immune response in EC. However, some mutations allow HIV to escape the CD8 response, while others do not. HLA protective alleles, like HLA-B*27, HLA-B*57 and HLA-B*58:01, that are common in Caucasians infected with HIV-1 Clade B, do not show the same protection in sub-Saharan Africans infected by HIV-1 Clade C. Endogenous pathway of antigen processing and presentation is used to present intracellular synthesized cellular peptides as well as viral protein fragments via the MHC class I molecule to the cytotoxic T-lymphocytes (CTLs). Some epitopes are immunodominant, which means that they drive the immune reaction to some virus. Mutation on an anchor residue of epitope necessary for binding on MHC class I is used by HIV to escape the immune system. Mutations inside or flanking an epitope may lead to T cell lack of recognition and CTL escape. Studying how immunodominance at epitopes drives the EC in a geographically dependent way with genetics and immunological elements orchestrating it may help future research on vaccines or immunotherapy for HIV. 2021 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. This is an open access article under the CC BY-NC-ND license