TY  - JOUR
AU  - Hierro, Luis Ángel
AU  - Garzón, Antonio J.
AU  - Atienza-Montero, Pedro
AU  - Márquez, José Luis
PY  - 2020
DO  - 10.1038/s41598-020-76490-8
UR  - http://hdl.handle.net/10668/3441
T2  - Scientific Reports
AB  - The evolution of the pandemic caused by COVID-19, its high reproductive number and the associated clinical needs, is overwhelming national health systems. We propose a method for predicting the number of deaths, and which will enable the health...
LA  - en
PB  - Springer Nature
KW  - COVID-19
KW  - Forecasting
KW  - Health planning
KW  - Models, statistical
KW  - Humans
KW  - Public health
KW  - Predicción
KW  - Planificación en salud
KW  - Modelos estadísticos
KW  - Humanos
KW  - Salud pública
KW  - Mortalidad
KW  - Medical Subject Headings::Diseases::Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections
KW  - Medical Subject Headings::Anthropology, Education, Sociology and Social Phenomena::Social Sciences::Forecasting
KW  - Medical Subject Headings::Health Care::Health Care Economics and Organizations::Health Planning
KW  - Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
KW  - Medical Subject Headings::Health Care::Health Care Quality, Access, and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Statistics as Topic::Models, Statistical
KW  - Medical Subject Headings::Health Care::Environment and Public Health::Public Health
TI  - Predicting mortality for Covid-19 in the US using the delayed elasticity method
TY  - research article
ER  -