INTRODUCTION: Visceral leishmaniasis has a broad worldwide distribution and constitutes a public health problem in the Northeast of Brazil. Located in this region is the state of Alagoas, where the disease is endemic in humans and where there has been a significant increase in the number of positive dogs. The objective of this study was to describe the temporal and spatial distribution of the cases of human VL in the state of Alagoas with the aim of identifying transmission risk areas in the period from 2007 to 2018. METHODS: The data available in the National Disease Notification System (SINAN-NET) were used. The Bayesian incidence rate and the Moran's global index were calculated using the Terra View 4.2.2 program, and the maps were created using QGIS2.18.0. RESULTS: From the 102 municipalities, 68.6% (n= 70) had at least one notified case of VL in the years of study. A total of 489 cases were registered, with an average of 40.7 cases per year and an incidence rate of 1.25/100,000 inhabitants. The highest number of confirmed cases (105) occurred in 2018. Male individuals and children between 1-4 years old were the most affected, and 64% of the cases were in rural areas. Spatial dependence was detected in all the intervals except for the first triennium, and clusters were formed in the west of the state. CONCLUSIONS: Alagoas presented an accentuated geographical expansion of VL, and it is necessary to prioritize areas and increase surveillance actions and epidemiological control.
INTRODUCTION:Visceral leishmaniasis has a broad worldwide distribution and constitutes a public health problem in the Northeast of Brazil. Located in this region is the state of Alagoas, where the disease is endemic in humans and where there has been a significant increase in the number of positive dogs. The objective of this study was to describe the temporal and spatial distribution of the cases of humanVL in the state of Alagoas with the aim of identifying transmission risk areas in the period from 2007 to 2018. METHODS: The data available in the National Disease Notification System (SINAN-NET) were used. The Bayesian incidence rate and the Moran's global index were calculated using the Terra View 4.2.2 program, and the maps were created using QGIS2.18.0. RESULTS: From the 102 municipalities, 68.6% (n= 70) had at least one notified case of VL in the years of study. A total of 489 cases were registered, with an average of 40.7 cases per year and an incidence rate of 1.25/100,000 inhabitants. The highest number of confirmed cases (105) occurred in 2018. Male individuals and children between 1-4 years old were the most affected, and 64% of the cases were in rural areas. Spatial dependence was detected in all the intervals except for the first triennium, and clusters were formed in the west of the state. CONCLUSIONS: Alagoas presented an accentuated geographical expansion of VL, and it is necessary to prioritize areas and increase surveillance actions and epidemiological control.
Authors: S O dos Santos; J Arias; A A Ribeiro; M de Paiva Hoffmann; R A de Freitas; M A Malacco Journal: Med Vet Entomol Date: 1998-07 Impact factor: 2.739
Authors: Iraci Duarte Lima; Adila L M Lima; Carolina de Oliveira Mendes-Aguiar; José F V Coutinho; Mary E Wilson; Richard D Pearson; José Wilton Queiroz; Selma M B Jeronimo Journal: PLoS Negl Trop Dis Date: 2018-03-06
Authors: Adriana Castillo-Castañeda; Giovanny Herrera; Martha S Ayala; Patricia Fuya; Juan David Ramírez Journal: Am J Trop Med Hyg Date: 2021-07-07 Impact factor: 3.707