Publicação

Collection of entomological, demographic, water and sanitation, and climatic data of interest for arbovirus surveillance in Praia, Cabo Verde

Ver documento

Detalhes bibliográficos
Resumo:Vector-borne diseases, primarily those transmitted by mosquitoes, are a serious public health problem. Some, such as dengue, put half of the world’s population at risk. Combating these diseases requires multifaceted strategies, with vector surveillance and control playing key roles. Robust and predictive surveillance systems for vector-borne diseases, based on risk stratification, enable the implementation of appropriate interventions across time and space. Here, we present a collection of entomological, demographic, water and sanitation, and climatic data from Praia (Cabo Verde), a hotspot for mosquito-borne diseases. These data were collected from June to November 2022, at 40 sentinel points scattered across the urban area of Praia. They constitute a valuable source of information for developing predictive scenarios of arbovirus outbreak risk using statistical models applied to spatial and non-spatial indicators. These data demonstrate the utility of GBIF in transforming large volumes of occurrence data into valuable information for arbovirus surveillance and vector control.
Autores principais:Ferrero Gómez, Maria Lara
Outros Autores:Fonseca Silva, Keily Lucienne; Pina, Bruno Dos Santos; Silva, Patrick; Lima da Cruz, Ulisses António; Lopes Fernandes, José Moniz; Ribeiro Rocha, Hélio Daniel
Assunto:Biotechnology Molecular Medicine Biochemistry, Genetics and Molecular Biology (miscellaneous) Genetics SDG 3 - Good Health and Well-being
Ano:2025
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

Registos relacionados

Registos relacionados