Danyelly Bruneska Gondim Martins
Biographic Data
| ID | 8524730 |
|---|---|
| NAME | Danyelly Bruneska Gondim Martins |
| GIVEN NAMES | Danyelly Bruneska Gondim |
| FAMILY NAME | Martins |
| SIGNATURE | MARTINS D B G |
| AFFILIATIONS | Universidade Federal de Pernambuco |
| ORCID | 0000-0002-6005-7864 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Geospatial clustering reveals dengue hotspots across Brazilian municipalities, 2024
Introduction: Dengue virus (DENV) remains a major and recurrent public health challenge in Brazil. In 2024, the country experienced its largest recorded epidemic, with more than six million probable cases and substantial pressure on hospital systems. The epidemic's highly heterogeneous burden highlights the need for municipal-scale geospatial analyses to identify actionable hotspots for targeted interventions. Methods: We conducted a nationwide c…
Sex-specific public health data
OBJECTIVE: To evaluate the differential impact of arboviral infections, specifically dengue virus, chikungunya virus, and Zika virus, on women in Brazil, with a focus on sex- and agedisaggregated analyses. METHODS: A comprehensive epidemiological and geospatial data analysis was conducted utilizing data from Brazil’s national health data system, including the disease notification system (Sistema de Informação de Agravos de Notificação) and mortal…
No prominent works on this page.
Geospatial clustering reveals dengue hotspots across Brazilian municipalities, 2024
Introduction: Dengue virus (DENV) remains a major and recurrent public health challenge in Brazil. In 2024, the country experienced its largest recorded epidemic, with more than six million probable cases and substantial pressure on hospital systems. The epidemic's highly heterogeneous burden highlights the need for municipal-scale geospatial analyses to identify actionable hotspots for targeted interventions. Methods: We conducted a nationwide c…
Sex-specific public health data
OBJECTIVE: To evaluate the differential impact of arboviral infections, specifically dengue virus, chikungunya virus, and Zika virus, on women in Brazil, with a focus on sex- and agedisaggregated analyses. METHODS: A comprehensive epidemiological and geospatial data analysis was conducted utilizing data from Brazil’s national health data system, including the disease notification system (Sistema de Informação de Agravos de Notificação) and mortal…
Mosquito-borne diseases and control (2 works) · Cluster analysis (1 work) · COVID-19 epidemiological studies (1 work) · Data-Driven Disease Surveillance (1 work) · DBSCAN (1 work) · Dengue fever (1 work) · Environmental health (1 work) · Geography (1 work) · Geospatial analysis (1 work) · Maternal and Neonatal Healthcare (1 work)