Search

ABSTRACT Background: Malaria is an acute febrile parasitic disease that significantly impacts global public health. In Brazil, the most studied endemic area for the disease is the Amazon region. This study aims to analyze temporal, spatial, and spatiotemporal patterns of malaria in the extra-Amazon region of Brazil over a 22-year period. Methods: We conducted a time-series study from 2001 to 2022, encompassing both autochthonous and imported cases. Time trend analysis was employed to assess fluctuations in incidence rates over the years. Spatial clusters of infection risk were identified using the Local Moran Index and Kulldorff's scan. Results: A total of 18,633 malaria cases were identified in the extra-Amazon region, including 1,980 autochthonous, 13,836 imported, and 2,817 of unknown origin. During the first period (2001-2011), 1,348 autochthonous and 9,124 imported cases were reported. In the second period (2012-2022), there were 632 autochthonous and 4,712 imported cases. The state of Espírito Santo exhibited a decreasing trend but maintained the highest incidence rates throughout the study. The number of municipalities at high risk for autochthonous cases declined, with Espírito Santo, Minas Gerais, and Piauí having the most municipalities with high rates. For imported cases, the federative units with the highest numbers in both periods were Ceará, Distrito Federal, Goiás, Minas Gerais, Piauí, and Paraná. Conclusions: The data reveal the areas most affected by malaria and thus of highest priority for implementing control strategies.

Abstract INTRODUCTION: Schistosomiasis, caused by infection from Schistosoma mansoni, is a disease that represents an important public health problem for Brazil, especially for states in the Northeast region. Thus, the aim of this study is to present a new epidemiological profile for the disease in a municipality with low prevalence in the state of Alagoas, Brazil. METHODS: A cross-sectional study was conducted through a coproparasitological and malacological survey. A structured questionnaire was applied to the study participants to survey possible risk factors and a spatial analysis (kernel density) was used to measure the risk of infection. RESULTS: Of the 347 participants, 106 (30.5%) were infected by Schistosoma mansoni, most of them from the urban area of the municipality (68.9%; 73/106). A 3-fold risk of infection was found for individuals living in the urban area and a risk of 2.15 times for self-declared farmers. Biomphalaria glabrata and B. straminea were the species found in the municipality, but no animals were diagnosed as infected by the parasite. Spatial analysis showed a random distribution of vectors and human cases of the disease, and the formation of two clusters of human cases in the urban area was seen. CONCLUSIONS: A new epidemiological profile for schistosomiasis from S. mansoni infection was presented in a municipality of low endemicity: a high proportion of positive individuals in the urban area; presence of snails without positive diagnosis for S. mansoni infection; random distribution of vectors and human cases; and absence of association between classical risk factors and human infection.