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Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
by
Eriksson, Henrik
, Gerlee, Philip
, Jöud, Anna
, Källström, Reidar
, Spreco, Armin
, Eriksson, Olle
, Ekberg, Joakim
, Soltesz, Kristian
, Lundh, Torbjörn
, Fraenkel, Carl-Johan
, Dahlström, Örjan
, Jonson, Carl-Oscar
, Timpka, Toomas
, Gustafsson, Fredrik
in
Adult
/ Complaints
/ coronavirus disease
/ Coronaviruses
/ Correlation coefficient
/ COVID-19
/ COVID-19 - epidemiology
/ Delivery of Health Care
/ Demographic aspects
/ epidemiology
/ Fever
/ Folkhälsovetenskap, global hälsa och socialmedicin
/ Forecasting
/ Forecasts and trends
/ Health care
/ health care delivery
/ Health services
/ Hospital care
/ Hospitalization
/ Hospitals
/ human
/ Humans
/ Influenza
/ Laboratories
/ Laboratory tests
/ Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
/ Pandemics
/ Population
/ Public health
/ Public Health, Global Health and Social Medicine
/ respiratory infections
/ SARS-CoV-2
/ Severe acute respiratory syndrome coronavirus 2
/ Sweden
/ Sweden - epidemiology
/ Telemedicine
/ Trends
/ viruses
2022
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Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
by
Eriksson, Henrik
, Gerlee, Philip
, Jöud, Anna
, Källström, Reidar
, Spreco, Armin
, Eriksson, Olle
, Ekberg, Joakim
, Soltesz, Kristian
, Lundh, Torbjörn
, Fraenkel, Carl-Johan
, Dahlström, Örjan
, Jonson, Carl-Oscar
, Timpka, Toomas
, Gustafsson, Fredrik
in
Adult
/ Complaints
/ coronavirus disease
/ Coronaviruses
/ Correlation coefficient
/ COVID-19
/ COVID-19 - epidemiology
/ Delivery of Health Care
/ Demographic aspects
/ epidemiology
/ Fever
/ Folkhälsovetenskap, global hälsa och socialmedicin
/ Forecasting
/ Forecasts and trends
/ Health care
/ health care delivery
/ Health services
/ Hospital care
/ Hospitalization
/ Hospitals
/ human
/ Humans
/ Influenza
/ Laboratories
/ Laboratory tests
/ Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
/ Pandemics
/ Population
/ Public health
/ Public Health, Global Health and Social Medicine
/ respiratory infections
/ SARS-CoV-2
/ Severe acute respiratory syndrome coronavirus 2
/ Sweden
/ Sweden - epidemiology
/ Telemedicine
/ Trends
/ viruses
2022
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Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
by
Eriksson, Henrik
, Gerlee, Philip
, Jöud, Anna
, Källström, Reidar
, Spreco, Armin
, Eriksson, Olle
, Ekberg, Joakim
, Soltesz, Kristian
, Lundh, Torbjörn
, Fraenkel, Carl-Johan
, Dahlström, Örjan
, Jonson, Carl-Oscar
, Timpka, Toomas
, Gustafsson, Fredrik
in
Adult
/ Complaints
/ coronavirus disease
/ Coronaviruses
/ Correlation coefficient
/ COVID-19
/ COVID-19 - epidemiology
/ Delivery of Health Care
/ Demographic aspects
/ epidemiology
/ Fever
/ Folkhälsovetenskap, global hälsa och socialmedicin
/ Forecasting
/ Forecasts and trends
/ Health care
/ health care delivery
/ Health services
/ Hospital care
/ Hospitalization
/ Hospitals
/ human
/ Humans
/ Influenza
/ Laboratories
/ Laboratory tests
/ Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
/ Pandemics
/ Population
/ Public health
/ Public Health, Global Health and Social Medicine
/ respiratory infections
/ SARS-CoV-2
/ Severe acute respiratory syndrome coronavirus 2
/ Sweden
/ Sweden - epidemiology
/ Telemedicine
/ Trends
/ viruses
2022
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Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
Journal Article
Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020
2022
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Overview
We report on local nowcasting (short-term forecasting) of coronavirus disease (COVID-19) hospitalizations based on syndromic (symptom) data recorded in regular healthcare routines in Östergötland County (population ≈465,000), Sweden, early in the pandemic, when broad laboratory testing was unavailable. Daily nowcasts were supplied to the local healthcare management based on analyses of the time lag between telenursing calls with the chief complaints (cough by adult or fever by adult) and COVID-19 hospitalization. The complaint cough by adult showed satisfactory performance (Pearson correlation coefficient r>0.80; mean absolute percentage error <20%) in nowcasting the incidence of daily COVID-19 hospitalizations 14 days in advance until the incidence decreased to <1.5/100,000 population, whereas the corresponding performance for fever by adult was unsatisfactory. Our results support local nowcasting of hospitalizations on the basis of symptom data recorded in routine healthcare during the initial stage of a pandemic.
Publisher
U.S. National Center for Infectious Diseases,Centers for Disease Control and Prevention
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