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COVID-19 dynamics in Madrid (Spain): A new convolutional model to find out the missing information during the first three waves
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Efrén M. Benavides ,
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: efren.moreno@upm.es
Affiliation Department of Fluid Mechanics and Aersospace Propulsion, Universidad Politécnica de Madrid, Madrid, Spain
⨯ - María Ordobás Gavín,
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Raúl Mallaina García,
Roles Conceptualization, Funding acquisition, Supervision, Validation, Writing – review & editing
Affiliation Strategic Planning Department, Directorate of Integrated Healthcare Process, Foundation on Innovation and Research in Primary Care Foundation FIIBAP, Madrid, Spain
⨯ - Sara de Miguel García,
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Maira Ortíz Pinto,
Roles Data curation, Formal analysis, Validation, Writing – review & editing
Affiliation Epidemiology Department, Directorate General of Public Health, Madrid Regional Health Authority, Madrid, Spain
⨯ -
Ramón Doménech Gimenez,
Roles Data curation, Formal analysis, Validation, Writing – review & editing
Affiliation Epidemiology Department, Directorate General of Public Health, Madrid Regional Health Authority, Madrid, Spain
⨯ -
Ana Gandarillas Grande
Roles Conceptualization, Data curation, Formal analysis, Supervision, Validation, Writing – review & editing
Affiliation Epidemiology Department, Directorate General of Public Health, Madrid Regional Health Authority, Madrid, Spain
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https://orcid.org/0000-0002-7229-7048
COVID-19 dynamics in Madrid (Spain): A new convolutional model to find out the missing information during the first three waves
- Efrén M. Benavides,
- María Ordobás Gavín,
- Raúl Mallaina García,
- Sara de Miguel García,
- Maira Ortíz Pinto,
- Ramón Doménech Gimenez,
- Ana Gandarillas Grande
- Published: December 22, 2022
- https://doi.org/10.1371/journal.pone.0279080