Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil.

BACKGROUND: Mosquitoes, Plasmodium parasites, and humans live in sympatry in some extra-Amazonian regions of Brazil. Recent migrations of people from Amazonia and other countries to extra-Amazonian regions have led to many malaria outbreaks. Lack of relevant expertise among health professionals in non-endemic areas can lead to a neglect of the disease, which can be dangerous given its high fatality rate. Therefore, understanding the spatial and temporal epidemiology of malaria is essential for developing strategies for disease control and elimination. This study aimed to characterize imported (IMP) and autochthonous/introduced (AU/IN) cases in the extra-Amazonian regions and identify risk areas and groups. METHODS: Epidemiological data collected between 2007 and 2014 were obtained from the Notifiable Diseases Information System of the Ministry of Health (SINAN) and from the Department of the Unified Health System (DATASUS). High malaria risk areas were determined using the Local Indicator of Spatial Association. IMP and AU/IN malaria incidence rates were corrected by Local Empirical Bayesian rates. RESULTS: A total of 6092 malaria cases (IMP: 5416, 88.9 %; AU/IN: 676, 11.1 %) was recorded in the extra-Amazonian regions in 2007-2014. The highest numbers of IMP and AU/IN cases were registered in 2007 (n = 862) and 2010 (n = 149), respectively. IMP cases were more frequent than AU/IN cases in all states except for Espírito Santo. Piauí, Espírito Santo, and Paraná states had high incidences of AU/IN malaria. The majority of infections were by Plasmodium falciparum in northeast and southeast regions, while Plasmodium vivax was the predominant species in the south and mid-west showed cases of dual infection. AU/IN malaria cases were concentrated in the coastal region of Brazil, which contains the Atlantic Forest and hosts the Anopheles transmitters. Several malaria clusters were also associated with the Brazilian Pantanal biome and regions bordering the Amazonian biome. CONCLUSION: Malaria is widespread outside the Amazonian region of Brazil, including in more urbanized and industrialized states. This fact is concerning because these highly populated areas retain favourable conditions for spreading of the parasites and vectors. Control measures for both IMP and AU/IN malaria are essential in these high-risk areas.

Potential risks of Zika and chikungunya outbreaks in Brazil: A modeling study.

OBJECTIVES: While Brazil has witnessed an unprecedented Zika (ZIK) epidemic, chikungunya (CHIK) has also recently come into prominence as a threat in the Americas. The aim of this study was to identify the regions with increased probabilities of ZIK and CHIK occurrence, based on environmental and social conditions. METHODS: A statistical Maxent model was used to assess the potential spatial risk of ZIK and CHIK dissemination; this considered the number of probable autochthonous ZIK and CHIK cases in 2015 and 2016, along with environmental variables and social indicators. RESULTS: Land use was the most significant variable that best defined the distribution of ZIK and CHIK. Of the social variables, garbage destination, type of sanitary installation, and pipe-borne water were the most significant. An estimated 65 million people in Brazil live in areas at high risk of ZIK and 75 million people in areas at high risk of CHIK. The southeast and northeast regions of Brazil presented the largest areas of high risk for both ZIK and CHIK. CONCLUSIONS: Many areas across the Brazilian territory are exposed to ZIK or CHIK infection risks, which are related mainly to land use. The study findings offer valuable information to support time-sensitive public health decision-making at the local and national levels.

Impact of environmental factors on neglected emerging arboviral diseases.

BACKGROUND: Brazil is a tropical country that is largely covered by rainforests and other natural ecosystems, which provide ideal conditions for the existence of many arboviruses. However, few analyses have examined the associations between environmental factors and arboviral diseases. Thus, based on the hypothesis of correlation between environment and epidemiology, the proposals of this study were (1) to obtain the probability of occurrence of Oropouche, Mayaro, Saint Louis and Rocio fevers in Brazil based on environmental conditions corresponding to the periods of occurrence of the outbreaks; (2) to describe the macroclimatic scenario in Brazil in the last 50 years, evaluating if there was any detectable tendency to increase temperatures and (3) to model future expansion of those arboviruses in Brazil based on future temperature projections. METHODOLOGY/PRINCIPAL FINDINGS: Our model assessed seven environmental factors (annual rainfall, annual temperature, elevation, seasonality of temperature, seasonality of precipitation, thermal amplitude, and daytime temperature variation) for their association with the occurrence of outbreaks in the last 50 years. Our results suggest that various environmental factors distinctly influence the distribution of each arbovirus, with temperature being the central determinant of disease distribution in all high-risk areas. These areas are subject to change, since the average temperature of some areas has increased significantly over the time. CONCLUSIONS/SIGNIFICANCE: This is the first spatio-temporal study of the Oropouche, Mayaro, Saint Louis, and Rocio arboviruses, and our results indicate that they may become increasingly important public health problems in Brazil. Thus, next studies and control programs should include these diseases and also take into consideration key environmental elements.