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O Brasil é o país com a maior população católica. A evolução de variáveis socioeconômicas na década de 1990, aí incluindo casamentos, fertilidade, renda, moradia entre outras, revelam que nenhuma mudou tanto quanto a composição religiosa da população brasileira. O Censo é a base de dados mais usada nos estudos no tema, porém, as estatísticas estão hoje paradas no Censo 2000. A Pesquisa de Orçamentos Familiares 2009 – POF/IBGE permite medir a religiosidade brasileira recente detalhando subgrupos religiosos com classificação comparável a do Censo e possibilidade de cruzamentos com uma gama maior de variáveis. Este estudo processa microdados da POF de 2003 e 2009, quando o contexto econômico difere das décadas anteriores, permitindo estudar as relações entre economia e religiosidade num contexto de expansão. Mostramos que: i) há velocidade de queda do catolicismo dez vezes mais rápida do que a observada entre 1872 e 1980, mas similar à dos anos 1990, embora as novas filiações sejam  não apenas nos grupos evangélicos pentecostais, mas mais nos protestantes tradicionais; ii) ao contrário dos países europeus mais católicos que vivem contração econômica (PIIGS), as localidades brasileiras mais católicas vivem expansão mais forte que as demais; iii) os brasileiros se mostram na mediana de frequência a cultos religiosos em 150 países; iv) as mulheres, embora mais religiosas que os homens, tornaram-se menos católicas; v) os jovens mostram uma fuga mais acelerada do catolicismo.Palavras-chave: Religião. Economia. Max Weber. Mapa das Religiões no Brasil. AbstractBrazil is the country with the biggest Catholic population in the world. The evolution of socio-economic variables during the 1990s such as marriage, fertility, incomes, housing among others, revealed that no other variable changed as much as the religious composition of Brazilian population. Demographic Census is the mostly widely used survey in religious studies. However, these statistics are today only available until 2000. Microdata from national Family Expenditure Surveys (POF/IBGE) allow us to measure the recent Brazilian religious evolution by detailing religious subgroups  and also by exploring  a richer array of correlated variables. This study processes microdata from POF in 2003 and 2009 when the economic context differs from the previous decades. It allows us to study the relation between economy and religion during a boom. This article aims to show that: i) The speed of the fall in Catholicism in Brazil is two times faster than the one observed in 1990, although similar to the one observed in the 1990s; the destinies of the Catholics however are less the Pentecostal Evangelicals and more the Traditional Protestants. ii) In contrast to major European Catholic countries that are facing a recession, the Brazilian localities with a catholic population have experienced an economic expansion. iii) Brazilians are on the World median in terms of attendance to religious activities.  iv) Although females are more religious than males, they are less catholic. v) There is a faster reduction of Catholics among the youth in Brazil.Key words: Religion. Economy. Max Weber. Maps of Religions in Brazil.

Brazil is the country with the biggest Catholic population in the world. The evolution of socio-economic variables during the 1990s such as marriage, fertility, incomes, housing among others, revealed that no other variable changed as much as the religious composition of Brazilian population. Demographic Census is the mostly widely used survey in religious studies. However, these statistics are today only available until 2000. Microdata from national Family Expenditure Surveys (POF/IBGE) allow us to measure the recent Brazilian religious evolution by detailing religious subgroups and also by exploring a richer array of correlated variables. This study processes microdata from POF in 2003 and 2009 when the economic context differs from the previous decades. It allows us to study the relation between economy and religion during a boom. This article aims to show that: i) The speed of the fall in Catholicism in Brazil is two times faster than the one observed in 1990, although similar to the one observed in the 1990s; the destinies of the Catholics however are less the Pentecostal Evangelicals and more the Traditional Protestants. ii) In contrast to major European Catholic countries that are facing a recession, the Brazilian localities with a catholic population have experienced an economic expansion. iii) Brazilians are on the World median in terms of attendance to religious activities. iv) Although females are more religious than males, they are less catholic. v) There is a faster reduction of Catholics among the youth in Brazil. O Brasil é o país com a maior população católica. A evolução de variáveis socioeconômicas na década de 1990, aí incluindo casamentos, fertilidade, renda, moradia entre outras, revelam que nenhuma mudou tanto quanto a composição religiosa da população brasileira. O Censo é a base de dados mais usada nos estudos no tema, porém, as estatísticas estão hoje paradas no Censo 2000. A Pesquisa de Orçamentos Familiares 2009 POF/IBGE permite medir a religiosidade brasileira recente detalhando subgrupos religiosos com classificação comparável a do Censo e possibilidade de cruzamentos com uma gama maior de variáveis. Este estudo processa microdados da POF de 2003 e 2009, quando o contexto econômico difere das décadas anteriores, permitindo estudar as relações entre economia e religiosidade num contexto de expansão. Mostramos que: i) há velocidade de queda do catolicismo dez vezes mais rápida do que a observada entre 1872 e 1980, mas similar à dos anos 1990, embora as novas filiações sejam não apenas nos grupos evangélicos pentecostais, mas mais nos protestantes tradicionais; ii) ao contrário dos países europeus mais católicos que vivem contração econômica (PIIGS), as localidades brasileiras mais católicas vivem expansão mais forte que as demais; iii) os brasileiros se mostram na mediana de frequência a cultos religiosos em 150 países; iv) as mulheres, embora mais religiosas que os homens, tornaram-se menos católicas; v) os jovens mostram uma fuga mais acelerada do catolicismo.

O Brasil é o país com a maior população católica. A evolução de variáveis socioeconômicas na década de 1990, aí incluindo casamentos, fertilidade, renda, moradia entre outras, revelam que nenhuma mudou tanto quanto a composição religiosa da população brasileira. O Censo é a base de dados mais usada nos estudos no tema, porém, as estatísticas estão hoje paradas no Censo 2000. A Pesquisa de Orçamentos Familiares 2009 – POF/IBGE permite medir a religiosidade brasileira recente detalhando subgrupos religiosos com classificação comparável a do Censo e possibilidade de cruzamentos com uma gama maior de variáveis. Este estudo processa microdados da POF de 2003 e 2009, quando o contexto econômico difere das décadas anteriores, permitindo estudar as relações entre economia e religiosidade num contexto de expansão. Mostramos que: i) há velocidade de queda do catolicismo dez vezes mais rápida do que a observada entre 1872 e 1980, mas similar à dos anos 1990, embora as novas filiações sejam  não apenas nos grupos evangélicos pentecostais, mas mais nos protestantes tradicionais; ii) ao contrário dos países europeus mais católicos que vivem contração econômica (PIIGS), as localidades brasileiras mais católicas vivem expansão mais forte que as demais; iii) os brasileiros se mostram na mediana de frequência a cultos religiosos em 150 países; iv) as mulheres, embora mais religiosas que os homens, tornaram-se menos católicas; v) os jovens mostram uma fuga mais acelerada do catolicismo.Palavras-chave: Religião. Economia. Max Weber. Mapa das Religiões no Brasil.AbstractBrazil is the country with the biggest Catholic population in the world. The evolution of socio-economic variables during the 1990s such as marriage, fertility, incomes, housing among others, revealed that no other variable changed as much as the religious composition of Brazilian population. Demographic Census is the mostly widely used survey in religious studies. However, these statistics are today only available until 2000. Microdata from national Family Expenditure Surveys (POF/IBGE) allow us to measure the recent Brazilian religious evolution by detailing religious subgroups  and also by exploring  a richer array of correlated variables. This study processes microdata from POF in 2003 and 2009 when the economic context differs from the previous decades. It allows us to study the relation between economy and religion during a boom. This article aims to show that: i) The speed of the fall in Catholicism in Brazil is two times faster than the one observed in 1990, although similar to the one observed in the 1990s; the destinies of the Catholics however are less the Pentecostal Evangelicals and more the Traditional Protestants. ii) In contrast to major European Catholic countries that are facing a recession, the Brazilian localities with a catholic population have experienced an economic expansion. iii) Brazilians are on the World median in terms of attendance to religious activities.  iv) Although females are more religious than males, they are less catholic. v) There is a faster reduction of Catholics among the youth in Brazil.Key words: Religion. Economy. Max Weber. Maps of Religions in Brazil.

Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.

Brazil detected community transmission of COVID-19 on March 13, 2020. In this study we identified which areas in the country were the most vulnerable for COVID-19, both in terms of the risk of arrival of cases, the risk of sustained transmission and their social vulnerability. Probabilistic models were used to calculate the probability of COVID-19 spread from São Paulo and Rio de Janeiro, the initial hotspots, using mobility data from the pre-epidemic period, while multivariate cluster analysis of socio-economic indices was done to identify areas with similar social vulnerability. The results consist of a series of maps of effective distance, outbreak probability, hospital capacity and social vulnerability. They show areas in the North and Northeast with high risk of COVID-19 outbreak that are also highly socially vulnerable. Later, these areas would be found the most severely affected. The maps produced were sent to health authorities to aid in their efforts to prioritize actions such as resource allocation to mitigate the effects of the pandemic. In the discussion, we address how predictions compared to the observed dynamics of the disease.

Most antibiotic use is for livestock, and it is growing with the increase in global demand for meat. It is unclear what the increase in demand for antibiotics means for the occurrence of drug resistance in animals and risk to humans. Van Boeckel et al. describe the global burden of antimicrobial resistance in animals on the basis of systematic reviews over the past 20 years (see the Perspective by Moore). There is a clear increase in the number of resistant bacterial strains occurring in chickens and pigs. The current study provides a much-needed baseline model for low- and middle-income countries and provides a “one health” perspective to which future data can be added. Science , this issue p. eaaw1944 ; see also p. 1251 Growing demand for meat in developing economies increases antibiotic consumption and fuels the risk of antibiotic resistance. The global scale-up in demand for animal protein is the most notable dietary trend of our time. Antimicrobial consumption in animals is threefold that of humans and has enabled large-scale animal protein production. The consequences for the development of antimicrobial resistance in animals have received comparatively less attention than in humans. We analyzed 901 point prevalence surveys of pathogens in developing countries to map resistance in animals. China and India represented the largest hotspots of resistance, with new hotspots emerging in Brazil and Kenya. From 2000 to 2018, the proportion of antimicrobials showing resistance above 50% increased from 0.15 to 0.41 in chickens and from 0.13 to 0.34 in pigs. Escalating resistance in animals is anticipated to have important consequences for animal health and, eventually, for human health.

Mountain ranges contain high concentrations of endemic species and are indispensable refugia for lowland species that are facing anthropogenic climate change 1 , 2 . Forecasting biodiversity redistribution hinges on assessing whether species can track shifting isotherms as the climate warms 3 , 4 . However, a global analysis of the velocities of isotherm shifts along elevation gradients is hindered by the scarcity of weather stations in mountainous regions 5 . Here we address this issue by mapping the lapse rate of temperature (LRT) across mountain regions globally, both by using satellite data (SLRT) and by using the laws of thermodynamics to account for water vapour 6 (that is, the moist adiabatic lapse rate (MALRT)). By dividing the rate of surface warming from 1971 to 2020 by either the SLRT or the MALRT, we provide maps of vertical isotherm shift velocities. We identify 17 mountain regions with exceptionally high vertical isotherm shift velocities (greater than 11.67 m per year for the SLRT; greater than 8.25 m per year for the MALRT), predominantly in dry areas but also in wet regions with shallow lapse rates; for example, northern Sumatra, the Brazilian highlands and southern Africa. By linking these velocities to the velocities of species range shifts, we report instances of close tracking in mountains with lower climate velocities. However, many species lag behind, suggesting that range shift dynamics would persist even if we managed to curb climate-change trajectories. Our findings are key for devising global conservation strategies, particularly in the 17 high-velocity mountain regions that we have identified. An analysis of the rate at which isotherms are shifting in mountain regions worldwide identifies 17 key regions with particularly high vertical isotherm shift velocities, and provides insight into how these shifts affect species ranges.

Antimicrobial resistance (AMR) in food animals is a growing threat to animal health and potentially to human health. In resource-limited settings, allocating resources to address AMR can be guided with maps. Here, we mapped AMR prevalence in 7 antimicrobials in Escherichia coli and nontyphoidal Salmonella species across low- and middle-income countries (LIMCs), using 1088 point-prevalence surveys in combination with a geospatial model. Hotspots of AMR were predicted in China, India, Brazil, Chile, and part of central Asia and southeastern Africa. The highest resistance prevalence was for tetracycline (59% for E. coli and 54% for nontyphoidal Salmonella , average across LMICs) and lowest for cefotaxime (33% and 19%). We also identified the antimicrobial with the highest probability of resistance exceeding critical levels (50%) in the future (1.7–12.4 years) for each 10 × 10 km pixel on the map. In Africa and South America, 78% locations were associated with penicillins or tetracyclines crossing 50% resistance in the future. In contrast, in Asia, 77% locations were associated with penicillins or sulphonamides. Our maps highlight diverging geographic trends of AMR prevalence across antimicrobial classes, and can be used to target AMR surveillance in AMR hotspots for priority antimicrobial classes. Monitoring antimicrobial resistance in food animals is challenging due to limited surveillance systems. Here, the authors combine data from point prevalence surveys in lower- and middle-income settings to map resistance to seven antimicrobials and predict which are likely to exceed key resistance thresholds.

Oropouche virus (OROV) is an arthropod-borne virus responsible for outbreaks of Oropouche fever (ORO) in Central and South America since the 1950s. Herein, we investigated the climatic and socioenvironmental factors contributing to the reemergence of ORO in Brazil in 2024, culminating in the largest epidemic in the country’s history. Accordingly, we conducted a modeling study to identify areas with the highest incidence of OROV in Brazil based on confirmed human cases between the 2020 and 2024 outbreaks and socioenvironmental variables. Our analysis utilized Maxent software, a machine learning algorithm for species distribution modeling, along with SatScan software to identify high- and low-risk spatial clusters. A total of 8,258 ORO cases were serologically confirmed in Brazil in 2024 and 108 in 2020/2021. The distribution of OROV differed markedly in 2020 and 2024: in 2020, cases were primarily confined to the Amazon region, while in 2024, cases expanded across nearly the entire country. High-risk areas showed higher temperatures and precipitation, and land-cover and land-use change (LCLUC) appeared to be key factors in ORO distribution. Upon comparing deforestation rates between 2020 and 2023, we noted a sharper increase in the expansion of pasture cover and soybean plantations in high-risk regions. Moreover, municipalities in high-risk clusters tended to face greater socioeconomic challenges, including poverty and restricted access to healthcare. Our study identified areas vulnerable to OROV circulation, providing valuable insights to support the establishment of robust public health policies that must be prioritized and strengthened in the context of climate change.