Work

AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Computer-Based Medical Systems (CBMS)

DOI: 10.1109/cbms65348.2025.00180

Authors: Joao Pedro Silva, Erikson J. de Aguiar, Gabriel Spadon, Agma J. M. Traina, Jose F. Rodrigues

Institution: Universidade de São Paulo

Language: English

Topic: Urban and Rural Development Challenges

Subfield: Urban Studies

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Good health and well-being, Reduced inequalities, Industry, innovation and infrastructure, Clean water and sanitation

Open Access status: closed

Funders: National Research Council Sri Lanka, Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Dalhousie University

Awards: Intelligent management of multimodal health data for decision-making in big data scenarios: IHealth-MD, G8387730349

OpenAlex ID: W4412021421

FWCI: 14.63

Cites: 12

Cited by: 1

Related to: 10