Publications by authors named "Cristina Guimaraes Rodrigues"

One line of enquiry in demographic research assesses whether climate affects fertility. We extend this literature by examining the ramifications of climate conditions on fertility over a period of public health crisis in a highly unequal, urban middle-income country. We use monthly data for Brazil's 5,564 municipalities and apply spatial fixed-effects models to account for unobserved municipal heterogeneity and spatial dependence.

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People share and seek information online that reflects a variety of social phenomena, including concerns about health conditions. We analyze how the contents of social networks provide real-time information to monitor and anticipate policies aimed at controlling or mitigating public health outbreaks. In November 2020, we collected tweets on the COVID-19 pandemic with content ranging from safety measures, vaccination, health, to politics.

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We analyze the trade-offs between health and the economy during the period of social distancing in São Paulo, the state hardest hit by the COVID-19 pandemic in Brazil. We use longitudinal data with municipal-level information and check the robustness of our estimates to several sources of bias, including spatial dependence, reverse causality, and time-variant omitted variables. We use exogenous climate shocks as instruments for social distancing since people are more likely to stay home in wetter and colder periods.

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This paper investigates the extent of socioeconomic inequalities in antenatal care use and related medical procedures in Brazil and India, which represent transition economies with contrasting geographical and sociocultural composition and health care provision. Concentration indices and regression analyses applied on recent Demographic Health Survey data reveal high and proportionate distribution of antenatal coverage in Brazil, whereas the Indian case present problems of both scale and equity. Inequalities in access to four or more antenatal visits are significantly pronounced in India, and in Brazil the differences are significant only for those who had six or more visits.

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The aim of this paper is to analyze how the social position of families affects self-reported health status, based on data from the 1998 and 2003 National Sample Household Survey of the Brazilian Institute of Geography and Statistics (PNAD-IBGE). The method was based on descriptive statistics and logistic regression to capture the conditional relationship between health status, social position, and other control variables, such as age, sex, race/color, income, education, and place of residence. The results show that the same hierarchy of the occupational classes is reproduced in self-reported health status.

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