Spatiotemporal-based clusters as a method for dengue surveillance
Bibliographic Data
| ID | 14967100 |
|---|---|
| Authors | Mayara Romero Canal (Faculdade Ceres, corresponding author), Elis Regina da Silva Ferreira (Faculdade Ceres), Cássia Fernanda Estofolete (0000-0001-7324-1591, Faculdade de Medicina de São José do Rio Preto), Andréia Martiniano Dias (Faculdade Ceres), Caroline Tukasan (Faculdade Ceres), Ana Carolina Bertoque (0000-0003-2805-4978, Faculdade Ceres), Vitor Dantas Muniz (Faculdade Ceres), Vitor Muniz, Mauricio L Nogueira (0000-0003-1102-2419, Faculdade de Medicina de São José do Rio Preto), Maurício Nogueira, Natal Santos Da Silva (0000-0002-0856-1748, Faculdade Ceres), Natal da Silva |
| Year | 2017 |
| Volume | 41 |
| Pages | 1-6 |
| Publication date | 2017-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Panamericana de Salud Pública (JOURNAL) |
| Journal identifiers | ISSN: 1020-4989 • E-ISSN: 1680-5348 |
| Publisher | Pan American Health Organization (PUBLISHER • US) |
| DOI | 10.26633/rpsp.2017.162 |
| PMID | 31384275 |
| OpenAlex | W2783503783 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
When using SaTScan for space-time analysis of dengue cases, the maximum number of households per cluster should be set to 10%. This methodology may be useful to optimizing dengue surveillance systems, especially in countries where resources are scarce and government programs have not had much success controlling the disease
Cartography · Cluster (spacecraft · Dengue fever · Epidemiological surveillance · Geography · Government (linguistics · Scan statistic · Sociology · Statistics · Computer Science · Data-Driven Disease Surveillance · Demography · Medicine · Mosquito-borne diseases and control · Zoonotic diseases and public health · Epidemiology · Virology
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |