The bee Melipona scutellaris is considered the reared meliponine species with the largest distribution in the North and Northeast regions of Brazil, with records from the state of Rio Grande do Norte down to the state of Bahia. Considering the importance of this species in the generation of income for family agriculture and in the preservation of areas with natural vegetation, this study aimed at providing knowledge on the distribution of natural colonies of M. scutellaris in the state of Bahia. Literature information, interviews with stinglessbee beekeepers, and expeditions were conducted to confirm the natural occurrence of the species. A total of 102 municipalities showed records for M. scutellaris, whose occurrence was observed in areas ranging from sea level up to 1,200-meter height. The occurrence of this species in the state of Bahia is considered to be restricted to municipalities on the coastal area and the Chapada Diamantina with its rainforests. Geographic coordinates, elevation, climate and vegetation data were obtained, which allowed a map to be prepared for the area of occurrence in order to support conservation and management policies for the species.
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http://dx.doi.org/10.1590/s0001-37652012000300010 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Federal University of Southern Bahia - UFSB, Itabuna, Bahia, Brazil.
Small and medium-scale biorefineries are processing facilities designed to produce a portfolio of value-added products with applications in different productive sectors. The Territory of the Southern Coast (TSC) of Bahia in Brazil has a high potential to provide agricultural and forest biomass for these bioindustries. This study focuses on quantifying the biomass of key agricultural crops in the TSC from 1999 to 2019, utilizing data from the Municipal Agricultural Production (MAP) survey conducted by the Brazilian Institute of Geography and Statistics (IBGE).
View Article and Find Full Text PDFEpidemiol Serv Saude
January 2025
Universidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, BA, Brasil.
Objective: To describe the sociodemographic profile and access to social assistance and health services among trans people and travestis experiencing homelessness in Salvador, the capital city of Bahia state.
Methods: This was a cross-sectional study involving 24 (4.5%) participants who identified as trans people or travestis out of a total of 529 people, aged 18 or older, living in public spaces or institutional shelters included in the survey.
Epidemiol Serv Saude
January 2025
Universidade de Brasília, Brasília, DF, Brazil.
Objective: To describe the polio vaccination status in 26 state capitals, the Federal District, and 12 municipalities in Brazil, among children born between 2017 and 2018.
Methods: This was a population-based household survey conducted from 2020 to 2022, which assessed polio vaccination coverage in children, considering valid, administered, and timely doses by municipality.
Results: Data were collected from 37,801 children.
Epidemiol Serv Saude
January 2025
Universidade de Brasília, Brasília, DF, Brazil.
Objective: To analyze vaccination coverage and factors associated with incomplete vaccination in inland municipalities of Northeastern Brazil.
Methods: This was a household survey using cluster sampling conducted in Vitória da Conquista, Bahia state, Caruaru, Pernambuco state, Sobral, Ceará state and Imperatriz, Maranhão state between 2020 and 2022. Vaccination coverage by valid doses and vaccine hesitancy were analyzed, with the odds ratio (OR) estimated and adjusted using logistic regression.
Epidemiol Serv Saude
January 2025
Universidade de Brasília, Brasília, DF, Brazil.
Objective: To analyse vaccination coverage and factors associated with incomplete polio vaccination in a cohort of children born in 2017-2018, in state capitals and interior region municipalities of Northeast Brazil.
Methods: Household survey of children aged ≤24 months conducted between 2020 and 2022. Vaccination coverage and dropout rates were estimated, as well as factors associated with incomplete vaccination, analyzed by calculating odds ratios (OR) and 95% confidence intervals (95%CI).
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