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1.
Emerg Infect Dis ; 28(3): 564-571, 2022 03.
Article in English | MEDLINE | ID: covidwho-1700805

ABSTRACT

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.


Subject(s)
COVID-19 , Adult , COVID-19/epidemiology , Delivery of Health Care , Forecasting , Hospitalization , Humans , SARS-CoV-2 , Sweden/epidemiology
2.
Sci Rep ; 11(1): 23963, 2021 12 14.
Article in English | MEDLINE | ID: covidwho-1585798

ABSTRACT

We demonstrate that finite impulse response (FIR) models can be applied to analyze the time evolution of an epidemic with its impact on deaths and healthcare strain. Using time series data for COVID-19-related cases, ICU admissions and deaths from Sweden, the FIR model gives a consistent epidemiological trajectory for a simple delta filter function. This results in a consistent scaling between the time series if appropriate time delays are applied and allows the reconstruction of cases for times before July 2020, when RT-PCR testing was not widely available. Combined with randomized RT-PCR study results, we utilize this approach to estimate the total number of infections in Sweden, and the corresponding infection-to-fatality ratio (IFR), infection-to-case ratio (ICR), and infection-to-ICU admission ratio (IIAR). Our values for IFR, ICR and IIAR are essentially constant over large parts of 2020 in contrast with claims of healthcare adaptation or mutated virus variants importantly affecting these ratios. We observe a diminished IFR in late summer 2020 as well as a strong decline during 2021, following the launch of a nation-wide vaccination program. The total number of infections during 2020 is estimated to 1.3 million, indicating that Sweden was far from herd immunity.


Subject(s)
COVID-19/epidemiology , Mortality/trends , SARS-CoV-2/isolation & purification , COVID-19/mortality , COVID-19 Nucleic Acid Testing , Finite Element Analysis , Hospitalization/statistics & numerical data , Humans , Intensive Care Units , SARS-CoV-2/genetics , Sweden/epidemiology , Time Factors
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