infectiousness changepoint Search Results


infectiousness changepoint  (ChangePoint Inc)
90
ChangePoint Inc infectiousness changepoint
Fraction of infections with VOC B.1.1.7 in Germany ( left ) and impact of VOC B.1.1.7 on the <t>infectiousness,</t> fraction of patients requiring inpatient treatment, and fraction of inpatients requiring ICU treatment ( right ). Points indicate observed fraction of infections in Germany. Lines indicate the model-predicted fraction or rate changes.
Infectiousness Changepoint, supplied by ChangePoint Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/infectiousness+changepoint/pmc09607468-109-6-7?v=ChangePoint+Inc
Average 90 stars, based on 1 article reviews
infectiousness changepoint - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier

Image Search Results


Fraction of infections with VOC B.1.1.7 in Germany ( left ) and impact of VOC B.1.1.7 on the infectiousness, fraction of patients requiring inpatient treatment, and fraction of inpatients requiring ICU treatment ( right ). Points indicate observed fraction of infections in Germany. Lines indicate the model-predicted fraction or rate changes.

Journal: Viruses

Article Title: Model-Based Analysis of SARS-CoV-2 Infections, Hospitalization and Outcome in Germany, the Federal States and Districts

doi: 10.3390/v14102114

Figure Lengend Snippet: Fraction of infections with VOC B.1.1.7 in Germany ( left ) and impact of VOC B.1.1.7 on the infectiousness, fraction of patients requiring inpatient treatment, and fraction of inpatients requiring ICU treatment ( right ). Points indicate observed fraction of infections in Germany. Lines indicate the model-predicted fraction or rate changes.

Article Snippet: If the implementation of a new infectiousness changepoint led to a significant improvement in the description of the data ( p < 0.01, dOFV > 11.345 for 3 degrees of freedom), it was retained in the model. Changepoint starting values were set to be at least 5 days apart from the previous changepoint.

Techniques: