Arnoldo Frigessi - Epidemiology

Author Information

Arnoldo Frigessi is a distinguished researcher affiliated with the Oslo Centre for Biostatistics and Epidemiology, Faculty of Medicine, University of Oslo, in Oslo, Norway. His research interests are deeply rooted in epidemiology and biostatistics, with a strong focus on infectious disease modeling and statistical analysis in medical research.

Research Contributions

Arnoldo Frigessi has made significant contributions to the field of epidemiology, particularly in the context of the COVID-19 pandemic. His work includes studies on the transmissibility and immune escape features of different SARS-CoV-2 variants, such as Omicron and Delta, using contact tracing data. He has also developed statistical methods to estimate time-varying reproduction numbers for infectious diseases and explored phenotypic deconvolution in cancer research. His diverse research portfolio demonstrates a strong commitment to advancing the understanding and management of public health challenges.

Aliases

Throughout his academic career, Arnoldo Frigessi has been referenced under several aliases, including "A Frigessi" and "A. Frigessi." These variations reflect common abbreviations and name formats used in academic publications.

Publication and Citation Metrics

Metric	Value
Total Citation Count	6206
h-index	38
Total Paper Count	181

Publications:

Phenotypic deconvolution in heterogeneous cancer cell populations using drug screening data

DOI: 10.1101/2022.01.17.476604

Year: 2022

Increased household transmission and immune escape of the SARS-CoV-2 Omicron variant compared to the Delta variant: evidence from Norwegian contact tracing and vaccination data

DOI: 10.21203/rs.3.rs-1370541/v1

Year: 2022

Increased household transmission and immune escape of the SARS-CoV-2 Omicron variant compared to the Delta variant: evidence from Norwegian contact tracing and vaccination data

DOI: 10.1101/2022.02.07.22270437

Year: 2022

A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case

DOI:

Year: 2022

ABC of the Future

DOI:

Year: 2021

Increased transmissibility of the B.1.1.7 SARS-CoV-2 variant: Evidence from contact tracing data in Oslo, January to February 2021

DOI: 10.1101/2021.03.29.21254122

Year: 2021

Spatial modelling of Lexis mortality data

DOI: 10.1016/j.spasta.2021.100532

Year: 2021

FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research

DOI: 10.1145/3460231.3474607

Year: 2021

A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy

DOI: 10.1002/cnm.3542

Year: 2021

Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling

DOI: 10.21203/RS.3.RS-525958/V1

Year: 2021

What are the Challenges in Providing Clean Water?

Why Is Gender Important?

Why are Wavelet Transforms Important in Epidemiology?

How is Machine Learning Utilized in Epidemiology?

How is Incidence Density Calculated?

What is the Role of Aerosols in Disease Transmission?

What are the Long-term Consequences?

How to Foster Effective Collaboration?

What Challenges Exist in Using EHRs for Epidemiology?

How Do Rumors Impact Public Health?

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