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CoronaSurveys: Using Indirect Reporting to Estimate the Incidence of Epidemics
dc.contributor.author | Fernández Anta, Antonio | |
dc.date.accessioned | 2021-07-13T09:46:17Z | |
dc.date.available | 2021-07-13T09:46:17Z | |
dc.date.issued | 2020-11-11 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12761/901 | |
dc.description.abstract | The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tests at their disposal. This problem is especially acute in low and middle-income countries (LMICs). Hence, any simple, cheap and flexible means of evaluating the incidence and evolution of the epidemic in a given country with a reasonable level of accuracy is useful. In this talk, I will present the CoronaSurveys project. CoronaSurveys uses a technique based on (anonymous) surveys in which participants report on the health status of their contacts. This indirect reporting technique, known in the literature as network scale-up method, preserves the privacy of the participants and their contacts, and collects information from a larger fraction of the population (as compared to individual surveys). The CoronaSurveys project has been collecting reports for the COVID-19 pandemic since March 2020. Results obtained by CoronaSurveys show the power and flexibility of the approach, suggesting that it could be an inexpensive and powerful tool to track the COVID-19 pandemic. This makes it especially interesting and useful for LMICs. | |
dc.title | CoronaSurveys: Using Indirect Reporting to Estimate the Incidence of Epidemics | |
dc.type | conference object | |
dc.conference.date | 11 November 2020 | |
dc.conference.place | University of Kassel, Kassel, Germany | |
dc.conference.title | ITeG Lecture Series 2020/2021 | * |
dc.event.type | other | |
dc.pres.type | invitedtalk | |
dc.description.refereed | FALSE | |
dc.description.status | pub | |
dc.eprint.id | http://eprints.networks.imdea.org/id/eprint/2241 |
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