Real time surveillance of Covid-19 space and time clusters during the summer 2020 in Spain
Bibliographic Data
| ID | 15366343 |
|---|---|
| Authors | Nicolás Rosillo (0000-0002-4046-8092, Instituto de Salud Carlos III, corresponding author), Javier Del-Águila-Mejía (0000-0001-5697-5980, Instituto de Salud Carlos III), Ayelén Rojas‐Benedicto (0000-0003-3197-0731, Instituto de Salud Carlos III), María Guerrero-Vadillo (0000-0003-0575-789X, Instituto de Salud Carlos III), Marina Peñuelas (0000-0002-5909-7957, Instituto de Salud Carlos III), Clara Mazagatos (0000-0002-6909-6923, Instituto de Salud Carlos III), Jordi Segú-Tell (0000-0001-6023-1925, Instituto de Salud Carlos III), Rebeca Ramis (0000-0001-6154-9142, Instituto de Salud Carlos III), Diana Gómez‐Barroso (0000-0001-7388-1767, Instituto de Salud Carlos III) |
| Year | 2021 |
| Volume | 21 |
| Issue | 1 |
| Pages | 961-961 |
| Publication date | 2021-05-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-021-10961-z |
| PMID | 34016076 |
| OpenAlex | W3118598290 |
| Language | EN |
| Citations received | 21 |
| References cited | 10 |
STSS-based surveillance of COVID-19 can be of utility in a low-incidence scenario to help tackle emerging outbreaks that could potentially drive a widespread transmission. If that happens, spatial trends and disease distribution can be followed with this method. Finally, cluster aggregation in space and time, as observed in our results, could suggest the occurrence of community transmission
2019-20 coronavirus outbreak · Betacoronavirus · Biostatistics · Coronavirus disease 2019 (COVID-19 · Coronavirus Infections · Environmental health · Infectious disease (medical specialty · Medical emergency · Outbreak · Pandemic · Pathology · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Anomaly Detection Techniques and Applications · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Epidemiology · Virology
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| Unique citing works | 21 |
|---|---|
| Citations per year | 5,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 21 |