Protective measures feasibility for infants of low income SARS-CoV-2 positive breastfeeding mothers: a prospective multicenter cohort study.

AIM: The aim was to evaluate the feasibility of protective measures for infants of low-income SARS-CoV-2 positive breastfeeding mothers. BACKGROUND: Breastfeeding mothers with SARS-CoV-2 positive should avoid exposing the infant through protective measures (PM), but it could be challenging in a low-income population. METHODS: A prospective, multicenter study was conducted between July and October 2020 (BRACOVID). The participants were recruited at birth and interviewed through a structured questionnaire at seven and 14 days in the home environment. The feasibility of PM during breastfeeding at home was defined by guidelines recommendations (mask using, handwashing, and distancing from newborn when not breastfeeding). Three groups according to the feasibility of guidelines: complete guidelines feasibility (CG): all PM; partial guidelines feasibility (PG): at least one PM feasible; no guidelines (NG): infeasibility to all of PM. Flu-like neonatal symptoms, mothers' breastfeeding practices. We evaluated the association between PM feasibility and socioeconomic factors. RESULTS: 117 infected mothers from 17 Brazilian hospitals were enrolled. 47 (40%) mothers followed all recommendations, 14 (11.9%) could not practice at least one recommendation, and 50 (42.7%) did not execute any of them. The breastfeeding rate was 98%. Factors associated with infeasibility were monthly family income < 92.7 dollars/person, high housing density (>1 inhabitant/room), teenage mothers, responsive feeding, and poor schooling. Regarding infants' flu-like symptoms, 5% presented symptoms at fourteen days (NG group). CONCLUSION: The guidelines were not applied to infants of SARs-CoV-positive mothers in 54.6% of the dyads since the recommendations were unviable in their environments. During pandemics, we should look for feasible and effective guidelines to protect neonates from low-income populations. IMPLICATIONS FOR NURSING MANAGEMENT: Poor socioeconomic conditions lead to the unfeasibility of protective measures for infants of low-income SARS-CoV-2 positive breastfeeding mothers during the isolation period in the pandemics. The orientations and the support provided to dyad should consider the socioeconomic factors to guide feasible measures in the home environment and promote adequate protections; only an individual approach will allow a safe environment for low-income infants.

Sanitary measures to contain COVID-19 spread decreased pediatric hospitalizations due to other respiratory infections in São Paulo, Brazil.

OBJECTIVE: After the Covid-19 pandemics hit Brazil and sanitary measures were adopted to contain its dissemination, pediatric hospital admissions were apparently fewer than usual. The authors aimed to describe the time trends of public hospital admissions of children and adolescents due to respiratory infections (RIs) in São Paulo State, Brazil, before and after the adoption of sanitary measures to contain the dissemination of Covid-19. METHODS: Ecological, time-series study on the monthly average number of admissions per day of children and adolescents (< 16 years) admitted to public hospitals of São Paulo due to acute RIs between January 2008 and March 2021. Data from 2008 to 2019 were used to adjust the statistical model, while data from 2020 and 2021 were compared to the values predicted by the model. RESULTS: In 2020 and 2021, the number of hospital admissions was significantly lower than predicted by the time series. However, lethality was three times higher in these years, compared to the previous, and six times higher in patients with Covid-19, compared to those without the disease. Hospitalization costs in 2020 and 2021 were lower than in previous years. CONCLUSIONS: These findings suggest that the sanitary measures adopted to contain the dissemination of Covid-19 also effectively reduce the transmission of other respiratory viruses. Policymakers and administrators can use this knowledge as a guide to planning preventative interventions that could decrease the number and severity of RIs and related hospital admissions in children and adolescents, decreasing the burden on the public health system.

Comorbidities and the risk of death among individuals infected by COVID-19 in Espírito Santo, Brazil.

INTRODUCTION: We investigated the association of self-reported comorbidities with fatality risk among individuals infected with Coronavirus disease 2019 (COVID-19) in Espírito Santo State, Brazil. METHODS: We included 212,620 individuals, ≥30 years old. The data were obtained from the COVID-19 panel. Kaplan-Meier curves and Cox regression model were used. RESULTS: COVID-19-positive individuals presenting with chronic conditions were at a higher risk of fatality than individuals without these comorbidities. Age had a significant effect on these relationships. CONCLUSIONS: Comorbidities were associated with an increased risk of fatality. Middle-aged people (30-59 years) with comorbidities should also be considered as a vulnerable group.

The impact of coronavirus outbreak on breastfeeding guidelines among Brazilian hospitals and maternity services: a cross-sectional study.

BACKGROUND: The World Health Organization recognizes exclusive breastfeeding a safe source of nutrition available for children in most humanitarian emergencies, as in the current pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Despite the Brazilian national guideline protecting breastfeeding practices, there are many concerns about protecting infants from their infected mothers. This study aimed to analyze how the Brazilian hospitals and maternity services promote and support mothers suspected or diagnosed with coronavirus disease (COVID-19). METHODS: This is a descriptive cross-sectional and multicenter study which collected data from 24 Brazilian hospitals and maternity services between March and July 2020. Representatives of the institutions completed a questionnaire based on acts to promote and support breastfeeding, the Baby-Friendly Hospital Initiative, and Brazil's federal law recommendations. RESULTS: The results showed that in delivery rooms, 98.5% of the services prohibited immediate and uninterrupted skin-to-skin contact between mothers and their infants and did not support mothers to initiate breastfeeding in the first hour. On the postnatal ward, 98.5% of the services allowed breastfeeding while implementing respiratory hygiene practices to prevent transmission of COVID-19. Companions for mothers were forbidden in 83.3% of the hospitals. Hospital discharge was mostly between 24 and 28 h (79.1%); discharge guidelines were not individualized. Additionally, a lack of support was noticed from the home environment's health community network (83.3%). Hospital and home breast pumping were allowed (87.5%), but breast milk donation was not accepted (95.8%). There was a lack of guidance regarding the use of infant comforting strategies. Guidelines specific for vulnerable populations were not covered in the material evaluated. CONCLUSIONS: In Brazil, hospitals have not followed recommendations to protect, promote, and support breastfeeding during the COVID-19 outbreak. The disagreement between international guidelines has been a major issue. The absence of recommendations on breastfeeding support during the pandemic led to difficulties in developing standards among hospitals in different regions of Brazil and other countries worldwide. The scientific community needs to discuss how to improve maternal and infant care services to protect breastfeeding in the current pandemic.

Feasibility of very short-term forecast models for COVID-19 hospital-based surveillance.

INTRODUCTION: We evaluated the performance of Bayesian vector autoregressive (BVAR) and Holt's models to forecast the weekly COVID-19 reported cases in six units of a large hospital. METHODS: Cases reported from epidemiologic weeks (EW) 12-37 were selected as the training period, and from EW 38-41 as the test period. RESULTS: The models performed well in forecasting cases within one or two weeks following the end of the time-series, but forecasts for a more distant period were inaccurate. CONCLUSIONS: Both models offered reasonable performance in very short-term forecasts for confirmed cases of COVID-19.

Long-term forecasts of the COVID-19 epidemic: a dangerous idea

INTRODUCTION: Mathematical models have been used to obtain long-term forecasts of the COVID-19 epidemic. METHODS: The daily COVID-19 case count in two Brazilian states was used to show the potential limitations of long-term forecasting through the application of a mathematical model to the data. RESULTS: The predicted number of cases at the end of the epidemic and at the moment that the peak occurs, is highly dependent on the length of the time series used in the predictive model. CONCLUSIONS: Predictions obtained during the course of the COVID-19 pandemic need to be viewed with caution.

Short-term forecasting of daily COVID-19 cases in Brazil by using the Holts model

Abstract: INTRODUCTION: We evaluated the performance of the Holt's model to forecast the daily COVID-19 reported cases in Brazil and three Brazilian states. METHODS: We chose the date of the first COVID-19 case to April 25, 2020, as the training period, and April 26 to May 3, 2020, as the test period. RESULTS: The Holt's model performed well in forecasting the cases in Brazil and in São Paulo and Minas Gerais states, but the forecasts were underestimated in Rio de Janeiro state. Conclusions: The Holt's model can be an adequate short-term forecasting method if their assumptions are adequately verified and validated by experts.

Long-term forecasts of the COVID-19 epidemic: a dangerous idea.

INTRODUCTION: Mathematical models have been used to obtain long-term forecasts of the COVID-19 epidemic. METHODS: The daily COVID-19 case count in two Brazilian states was used to show the potential limitations of long-term forecasting through the application of a mathematical model to the data. RESULTS: The predicted number of cases at the end of the epidemic and at the moment that the peak occurs, is highly dependent on the length of the time series used in the predictive model. CONCLUSIONS: Predictions obtained during the course of the COVID-19 pandemic need to be viewed with caution.

Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt's model.

INTRODUCTION: We evaluated the performance of the Holt's model to forecast the daily COVID-19 reported cases in Brazil and three Brazilian states. METHODS: We chose the date of the first COVID-19 case to April 25, 2020, as the training period, and April 26 to May 3, 2020, as the test period. RESULTS: The Holt's model performed well in forecasting the cases in Brazil and in São Paulo and Minas Gerais states, but the forecasts were underestimated in Rio de Janeiro state. CONCLUSIONS: The Holt's model can be an adequate short-term forecasting method if their assumptions are adequately verified and validated by experts.