Severe influenza A(H1N1)pdm09 in pregnant women and neonatal outcomes, State of Sao Paulo, Brazil, 2009.

To investigate the factors associated with death and describe the gestational outcomes in pregnant women with influenza A(H1N1)pdm09, we conducted a case-control study (deaths and recovered) in hospitalized pregnant women with laboratory-confirmed influenza A(H1N1)pdm09 with severe acute respiratory illness (SARI) in the state of São Paulo from June 9 to December 1, 2009. All cases were evaluated, and four controls that were matched by the epidemiological week of hospitalization of the case were randomly selected for each case. Cases and controls were selected from the National Disease Notification System-SINAN Influenza-web.

Risk factors for death from Influenza A(H1N1)pdm09, State of São Paulo, Brazil, 2009.

This case-control study aimed to assess the risk factors for death from influenza A(H1N1)pdm09 in patients with laboratory confirmation, who had severe acute respiratory illness-SARI and were hospitalized between June 28th and August 29th 2009, in the metropolitan regions of São Paulo and Campinas, Brazil. Medical charts of all the 193 patients who died (cases) and the 386 randomly selected patients who recovered (controls) were investigated in 177 hospitals. Household interviews were conducted with those who had survived and the closest relative of those who had died.

[Measles outbreak in the metropolitan region of Campinas, Sao Paulo State, Brazil].

Brazil has not had endemic circulation of the measles virus since 2000. Between May and June 2011, the Metropolitan Region of Campinas, State of Sao Paulo, Southeastern Brazil, reported three cases of measles. This report presents a descriptive study of the cases, control measures, and the search for a possible source and secondary cases.

[Prevalence of respiratory symptoms in areas of the Federal District, Brazil].

The identification of individuals with respiratory symptoms (RS) is important for the early detection of tuberculosis. The aim of this study was to estimate the prevalence of RS in three administrative regions of the Federal District, Brazil. For this, we used the 30 by 7 cluster sampling technique proposed by the World Health Organization.