[Estimating the number of COVID-19 cases using a web-based tool: Results from the first week of the 'Covid-19 Trends' project in the Basque Country]. / Estimando el número de casos de COVID-19 mediante una herramienta web: resultados de la primera semana del proyecto «Covid-19 Trends¼ en Euskadi.
Semergen
; 46 Suppl 1: 111-117, 2020 Aug.
Article
em Es
| MEDLINE
| ID: mdl-32513502
ABSTRACT
OBJECTIVE:
In the Basque Country, two cases of COVID-19 were diagnosed on February 28 2020. On March 14, the Spanish Government established a state of alarm. Only cases confirmed by molecular biology (reverse-transcriptase polymerase chain reaction [RT-PCR]) were known. We launched a web-based surveillance tool to estimate the number of symptomatic cases of COVID-19 to contribute to Public Health decision-making. MATERIAL ANDMETHODS:
We implemented an anonymous web questionnaire and disseminated it through online social media social. We collected epidemiological information about «time¼ (date of onset of symptoms), «place¼ (zip code), and «person¼ (gender, age). We compared cases detected by RT-PCR with the estimated cases, according to the case definition of the Ministry of Health. We calculated the questionnaire response rate and the cumulative incidence at 14days.RESULTS:
Between March 19 and 26, 128,009 people answered the questionnaire (5.5% of the Basque population). Of these, 26,375 met the case definition (symptom prevalence of 21.4%). The estimated cases were almost six times more than COVID-19 positive RT-PCR. The estimated 14-day cumulative incidence was 578.3 per 100,000 population compared to RT-PCR positive cases, which was 139.6 per 100,000 population.CONCLUSIONS:
This tool was useful in estimating the minimum number of symptomatic cases in the Basque Country, which could support Public Health actions.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pneumonia Viral
/
Infecções por Coronavirus
/
Técnicas de Laboratório Clínico
/
Reação em Cadeia da Polimerase Via Transcriptase Reversa
/
Internet
Idioma:
Es
Ano de publicação:
2020
Tipo de documento:
Article