Mauro Maistrello
Datos Biográficos
| ID | 7930357 |
|---|---|
| NOMBRE | Mauro Maistrello |
| NOMBRES | Mauro |
| APELLIDO | Maistrello |
| FIRMA | MAISTRELLO M |
| AFILIACIONES | Ministero della Salute |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
Web-based surveillance of respiratory infection outbreaks
Introduction: Large-scale diagnostic testing has been proven insufficient to promptly monitor the spread of the Coronavirus disease 2019. Electronic resources may provide better insight into the early detection of epidemics. We aimed to retrospectively explore whether the Google search volume has been useful in detecting Severe Acute Respiratory Syndrome Coronavirus outbreaks early compared to the swab-based surveillance system. Methods: The Goog…
Early Detection of Sars-CoV-2 Epidemic Waves
We evaluated the performance of the exponentially weighted moving average (EWMA) model for comparing two families of predictors (i.e., structured and unstructured data from visits to the emergency department (ED)) for the early detection of SARS-CoV-2 epidemic waves. The study included data from 1,282,100 ED visits between 1 January 2011 and 9 December 2021 to a local health unit in Lombardy, Italy. A regression model with an autoregressive integ…
Sin obras prominentes en esta página.
Early Detection of Sars-CoV-2 Epidemic Waves
We evaluated the performance of the exponentially weighted moving average (EWMA) model for comparing two families of predictors (i.e., structured and unstructured data from visits to the emergency department (ED)) for the early detection of SARS-CoV-2 epidemic waves. The study included data from 1,282,100 ED visits between 1 January 2011 and 9 December 2021 to a local health unit in Lombardy, Italy. A regression model with an autoregressive integ…
Web-based surveillance of respiratory infection outbreaks
Introduction: Large-scale diagnostic testing has been proven insufficient to promptly monitor the spread of the Coronavirus disease 2019. Electronic resources may provide better insight into the early detection of epidemics. We aimed to retrospectively explore whether the Google search volume has been useful in detecting Severe Acute Respiratory Syndrome Coronavirus outbreaks early compared to the swab-based surveillance system. Methods: The Goog…
COVID-19 epidemiological studies (2 obras) · Data-Driven Disease Surveillance (2 obras) · Disease (2 obras) · Internal Medicine (2 obras) · Medicine (2 obras) · ALARM (1 obras) · Autoregressive integrated moving average (1 obras) · Computer Science (1 obras) · Concordance (1 obras) · Control chart (1 obras)