In less than four months, the total of confirmed cases of COVID-19 was 1,684,833 worldwide. Outcomes among the public of pregnant women with COVID-19 are still unclear. We performed a systematic review and meta-analysis to analyze whether COVID-19 in pregnant women is related to premature birth and birth weight, and to summarize the diagnostic results of neonates born to mothers with COVID-19 for investigating the possibility of vertical transmission. Searches were performed in PubMed, Scopus, LILACS, Web of Science, Google Scholar, Preprints, bioRxiv, and medRxiv. We used the odds ratio (OR) and mean difference (MD) as measure of analysis. Summary estimates were calculated using random effects models. 38 studies were included; data from 279 women were analyzed; 60 patients were diagnosed with COVID-19. The meta-analysis showed no significant association between COVID-19 and preterm delivery (OR = 2.25; 95%CI: 0.96, 5.31; p = 0.06; I² = 0%). No significant relationship was found between birth weight and COVID-19 (MD = -124.16; 95%CI: -260.54, 12.22; p = 0.07; I² = 0%). Among 432 newborns, 10 were reported with positive results for early SARS-CoV-2. Due to the characteristics of the studies, the level of evidence of this meta-analysis was considered very low. COVID-19 in pregnant women may not be associated with the occurrence of preterm deliveries or the birth weight of the newborn children, however the evidence to date is very uncertain. A few reports suggest vertical transmission of SARS-CoV-2 to newborn is possible, but evidence is still uncertain.

Resumo Objetivo: analisar casos confirmados e de óbitos por COVID-19 entre profissionais de enfermagem no Brasil. Métodos: estudo epidemiológico com uso de técnicas de geoprocessamento. Dados referentes ao período de 20 de março a 28 de maio de 2020 foram coletados do Conselho Federal de Enfermagem. Foram utilizados testes G, qui-quadrado e Mantel-Haenszel para associação entre óbitos e faixa etária, sexo e região geográfica de trabalho. Resultados: 17.414 casos suspeitos, 5.732 confirmados e 134 óbitos ocorreram no período. A região Sudeste apresentou o maior número de casos (46,35%) e de óbitos (44,78%). A faixa etária mais afetada para casos foi de 31-40 anos (n = 2.515) e para óbitos foi de 41-50 anos (n = 38). A taxa de letalidade foi maior nos homens. As variáveis “faixa etária”, “sexo” e “região geográfica de trabalho” estiveram significativamente associadas aos óbitos por COVID-19 (p < 0,05). Os estados do Amapá, Roraima e Bahia apresentaram a maior taxa de casos por 1.000 profissionais inscritos no conselho da categoria (6,28, 6,10 e 5,99, respectivamente). Conclusão: Os dados indicam a necessidade de um olhar crítico sobre o campo de trabalho de enfermagem como estratégia de enfrentamento da COVID-19.

No abstract

Objective: Estimating the potential number of COVID-19 deaths in Brazil for the coming months. Methods: The study included all confirmed cases of COVID-19 deaths, from the first confirmed death on March 17th to May 15th, 2020. These data were collected from an official Brazilian website of the Ministry of Health. The Boltzmann function was applied to a data simulation for each set of data regarding all states of the country. Results: The model data were well-fitted, with R2 values close to 0.999. Up to May 15th, 14,817 COVID-19 deaths have been confirmed in the country. Amazonas has the highest rate of accumulated cases per 1,000,000 inhabitants (321.14), followed by Ceará (161.63). Rio de Janeiro, Roraima, Amazonas, Pará, and Pernambuco are estimated to experience a substantial increase in the rate of cumulative cases until July 15th. Mato Grosso do Sul, Paraná, Minas Gerais, Rio Grande do Sul, and Santa Catarina will show lower rates per 1,000,000 inhabitants. Conclusion: We estimate a substantial increase in the rate of cumulative cases in Brazil over the next months. The Boltzmann function proved to be a simple tool for epidemiological forecasting that can assist in the planning of measures to contain COVID-19.