Gustavo Menezes Silva Damasceno
Biographic Data
| ID | 8555432 |
|---|---|
| NAME | Gustavo Menezes Silva Damasceno |
| GIVEN NAMES | Gustavo Menezes Silva |
| FAMILY NAME | Damasceno |
| SIGNATURE | DAMASCENO G M S |
| AFFILIATIONS | Fundação Oswaldo Cruz |
| ORCID | 0000-0003-4712-7124 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Spatiotemporal distribution of people hospitalized with cancer and Covid-19 in Rio de Janeiro, Brazil
The aim is to analyze the spatiotemporal distribution of people with cancer and COVID-19 hospitalized in the city of Rio de Janeiro - RJ. This is an ecological research, focused on the analysis of spatial distribution and exploratory analysis of time of hospitalization, Intensive Care Unit (ICU) and death. In the spatial analysis, the Moran global and local index was calculated using the QGIS software (v.3.22.16) and GeoDa (v.1.22.0.4). In the ti…
Distribuição espaço-temporal de pessoas hospitalizadas com câncer e Covid-19 no Rio de Janeiro, Brasil
O objetivo é analisar a distribuição espaço-temporal de pessoas com câncer e COVID-19 hospitalizadas no município do Rio de Janeiro - RJ. Constitui uma pesquisa ecológica, focada na análise da distribuição espacial e na análise exploratória do tempo de hospitalização, de Unidade de Terapia Intensiva (UTI) e de óbito. Na análise espacial, calculou-se o índice de Moran global e local utilizando o software QGIS (v.3.22.16) e o GeoDa (v.1.22.0.4). E …
Persistence and Changes in Emerging Covid-19 Space-Time Clusters in Brazilian Municipalities in 2020-2021
The impacts of COVID-19 in Brazil are evident and exacerbate the country ́s inequalities. This study aimed to analyze the persistence and changes in the log-likelihood ratio (LLR), radius, duration, observed and expected number of cases, p-values, number of municipalities, population, and the relative risk of space-time clusters of COVID-19 cases identified in Brazilian municipalities in the epidemiological weeks with peak transmission in 2020 an…
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Persistence and Changes in Emerging Covid-19 Space-Time Clusters in Brazilian Municipalities in 2020-2021
The impacts of COVID-19 in Brazil are evident and exacerbate the country ́s inequalities. This study aimed to analyze the persistence and changes in the log-likelihood ratio (LLR), radius, duration, observed and expected number of cases, p-values, number of municipalities, population, and the relative risk of space-time clusters of COVID-19 cases identified in Brazilian municipalities in the epidemiological weeks with peak transmission in 2020 an…
Spatiotemporal distribution of people hospitalized with cancer and Covid-19 in Rio de Janeiro, Brazil
The aim is to analyze the spatiotemporal distribution of people with cancer and COVID-19 hospitalized in the city of Rio de Janeiro - RJ. This is an ecological research, focused on the analysis of spatial distribution and exploratory analysis of time of hospitalization, Intensive Care Unit (ICU) and death. In the spatial analysis, the Moran global and local index was calculated using the QGIS software (v.3.22.16) and GeoDa (v.1.22.0.4). In the ti…
Distribuição espaço-temporal de pessoas hospitalizadas com câncer e Covid-19 no Rio de Janeiro, Brasil
O objetivo é analisar a distribuição espaço-temporal de pessoas com câncer e COVID-19 hospitalizadas no município do Rio de Janeiro - RJ. Constitui uma pesquisa ecológica, focada na análise da distribuição espacial e na análise exploratória do tempo de hospitalização, de Unidade de Terapia Intensiva (UTI) e de óbito. Na análise espacial, calculou-se o índice de Moran global e local utilizando o software QGIS (v.3.22.16) e o GeoDa (v.1.22.0.4). E …
COVID-19 epidemiological studies (3 works) · Coronavirus disease 2019 (COVID-19) (2 works) · COVID-19 and healthcare impacts (2 works) · Pandemic (2 works) · 2019-20 coronavirus outbreak (1 works) · Biology (1 works) · Cancer (1 works) · Computer Science (1 works) · Data-Driven Disease Surveillance (1 works) · Disease (1 works)