Predicting subnational incidence of COVID-19 cases and deaths in EU countries.
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| Title: | Predicting subnational incidence of COVID-19 cases and deaths in EU countries. |
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| Authors: | Robert A; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. alexis.robert@lshtm.ac.uk., Chapman LAC; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. l.chapman4@lancaster.ac.uk.; Department of Mathematics and Statistics, Lancaster University, Lancaster, UK. l.chapman4@lancaster.ac.uk., Grah R; European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden., Niehus R; European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden., Sandmann F; European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.; Current address: Robert Koch Institute, Berlin, Germany., Prasse B; European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden., Funk S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK., Kucharski AJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. |
| Source: | BMC infectious diseases [BMC Infect Dis] 2024 Feb 14; Vol. 24 (1), pp. 204. Date of Electronic Publication: 2024 Feb 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2334 |
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| DOI: | 10.1186/s12879-024-08986-x |
