Kris V Parag

Kris V Parag

Imperial College London

H-index: 23

Europe-United Kingdom

About Kris V Parag

Kris V Parag, With an exceptional h-index of 23 and a recent h-index of 23 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of mathematical biology, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Scale-free dynamics of Covid-19 in a Brazilian city

Seasonal dynamics of the wild rodent faecal virome

How to measure the controllability of an infectious disease?

Risk averse reproduction numbers improve resurgence detection

SARS-CoV-2 lineage-specific disease symptoms and disease severity in São Caetano do Sul city, Brazil

Refuting Causal Relations in Epidemiological Time Series

Accounting for the Potential of Overdispersion in Estimation of the Time-varying Reproduction Number

Kris V Parag Information

University

Position

MRC Skills Development Fellow

Citations(all)

4909

Citations(since 2020)

4880

Cited By

1750

hIndex(all)

23

hIndex(since 2020)

23

i10Index(all)

39

i10Index(since 2020)

38

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Kris V Parag Skills & Research Interests

mathematical biology

statistics

Top articles of Kris V Parag

Title

Journal

Author(s)

Publication Date

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Science Advances

Lucas M Stolerman

Leonardo Clemente

Canelle Poirier

Kris V Parag

Atreyee Majumder

...

2023/1/18

Scale-free dynamics of Covid-19 in a Brazilian city

Applied Mathematical Modelling

Josué Mendes P Policarpo

AAGF Ramos

C Dye

NR Faria

FE Leal

...

2023/9/1

Seasonal dynamics of the wild rodent faecal virome

Molecular ecology

Jayna Raghwani

Christina L Faust

Sarah François

Dung Nguyen

Kirsty Marsh

...

2023/9

How to measure the controllability of an infectious disease?

medRxiv

Kris V Parag

2023

Risk averse reproduction numbers improve resurgence detection

PLOS Computational Biology

Kris V Parag

Uri Obolski

2023/7/20

SARS-CoV-2 lineage-specific disease symptoms and disease severity in São Caetano do Sul city, Brazil

medRxiv

Flavia Cristina da Silva Sales

Carlos Augusto Prete

Leandro Abade

Lewis Fletcher Buss

Darlan da Silva Candido

...

2023/10/20

Refuting Causal Relations in Epidemiological Time Series

medRxiv

Yair Daon

Kris V Parag

Amit Huppert

Uri Obolski

2023

Accounting for the Potential of Overdispersion in Estimation of the Time-varying Reproduction Number

Epidemiology

Faith Ho

Kris V Parag

Dillon C Adam

Eric HY Lau

Benjamin J Cowling

...

2023/3/1

Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts

Plos one

Sangeeta Bhatia

Kris V Parag

Jack Wardle

Rebecca K Nash

Natsuko Imai

...

2023/10/18

Host behaviour driven by awareness of infection risk amplifies the chance of superspreading events

medRxiv

Kris V Parag

Robin N Thompson

2023

Implementation of genomic surveillance of SARS-CoV-2 in the Caribbean: Lessons learned for sustainability in resource-limited settings

PLOS global public health

Nikita SD Sahadeo

Soren Nicholls

Filipe RR Moreira

Áine O’Toole

Vernie Ramkissoon

...

2023/2/22

Angular reproduction numbers improve estimates of transmissibility when disease generation times are misspecified or time-varying

Proceedings of the Royal Society B

Kris V Parag

Benjamin J Cowling

Ben C Lambert

2023/9/27

A Bayesian nonparametric method for detecting rapid changes in disease transmission

Journal of Theoretical Biology

Richard Creswell

Martin Robinson

David Gavaghan

Kris V Parag

Chon Lok Lei

...

2023/2/7

Correction: Implementation of Genomic Surveillance of SARS-CoV-2 in the Caribbean: Lessons learned for sustainability in resource-limited settings

PLOS Global Public Health

Nikita SD Sahadeo

Soren Nicholls

Filipe RR Moreira

Áine O’Toole

Vernie Ramkissoon

...

2023/9/11

Authors’ Reply to the Discussion of ‘Are Epidemic Growth Rates More Informative than Reproduction Numbers?’by Parag et al. in Session 1 of the Royal Statistical Society’s …

Journal of the Royal Statistical Society Series A: Statistics in Society

Kris V Parag

Robin N Thompson

Christl A Donnelly

2022/11

A computationally tractable birth-death model that combines phylogenetic and epidemiological data

PLoS computational biology

Alexander Eugene Zarebski

Louis du Plessis

Kris Varun Parag

Oliver George Pybus

2022/2/11

Are epidemic growth rates more informative than reproduction numbers?

Journal of the Royal Statistical Society Series A: Statistics in Society

Kris V Parag

Robin N Thompson

Christl A Donnelly

2022/11

Encoding generation time changes within reproduction numbers (preprint)

Kris V Parag

Benjamin Cowling

Ben C Lambert

2022

Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data

Nature Communications

Rhys PD Inward

Kris V Parag

Nuno R Faria

2022/9/23

Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis

The Lancet Regional Health–Americas

Paul Mee

Neal Alexander

Philippe Mayaud

Felipe de Jesus Colon Gonzalez

Sam Abbott

...

2022/1/1

See List of Professors in Kris V Parag University(Imperial College London)

Co-Authors

H-index: 124
Oliver Pybus

Oliver Pybus

University of Oxford

H-index: 69
Nuno Rodrigues Faria

Nuno Rodrigues Faria

Imperial College London

H-index: 32
Louis du Plessis

Louis du Plessis

University of Oxford

H-index: 25
Sarah C Hill

Sarah C Hill

Royal Veterinary College University of London

H-index: 23
Jayna Raghwani

Jayna Raghwani

University of Oxford

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