Search Results - "Parag, Kris V"
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Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves
Published in PLoS computational biology (01-09-2021)“…We construct a recursive Bayesian smoother, termed EpiFilter, for estimating the effective reproduction number, R, from the incidence of an infectious disease…”
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Risk averse reproduction numbers improve resurgence detection
Published in PLoS computational biology (01-07-2023)“…The effective reproduction number R is a prominent statistic for inferring the transmissibility of infectious diseases and effectiveness of interventions. R…”
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Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers
Published in PLoS computational biology (01-04-2022)“…We find that epidemic resurgence, defined as an upswing in the effective reproduction number (R) of the contagion from subcritical to supercritical values, is…”
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Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence
Published in The Lancet (British edition) (06-02-2021)“…[...]immunity against infection might have already begun to wane by December, 2020, because of a general decrease in immune protection against SARS-CoV-2 after…”
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Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK
Published in Science (American Association for the Advancement of Science) (12-02-2021)“…The United Kingdom's COVID-19 epidemic during early 2020 was one of world's largest and was unusually well represented by virus genomic sampling. We determined…”
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Using information theory to optimise epidemic models for real-time prediction and estimation
Published in PLoS computational biology (01-07-2020)“…The effective reproduction number, Rt, is a key time-varying prognostic for the growth rate of any infectious disease epidemic. Significant changes in Rt can…”
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Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence
Published in Science (American Association for the Advancement of Science) (20-08-2021)“…Understanding the causes and consequences of the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern is crucial to…”
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An exact method for quantifying the reliability of end-of-epidemic declarations in real time
Published in PLoS computational biology (30-11-2020)“…We derive and validate a novel and analytic method for estimating the probability that an epidemic has been eliminated (i.e. that no future local cases will…”
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Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data
Published in Nature communications (23-09-2022)“…The choice of viral sequences used in genetic and epidemiological analysis is important as it can induce biases that detract from the value of these rich…”
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Point process analysis of noise in early invertebrate vision
Published in PLoS computational biology (01-10-2017)“…Noise is a prevalent and sometimes even dominant aspect of many biological processes. While many natural systems have adapted to attenuate or even usefully…”
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Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India
Published in Emerging infectious diseases (01-04-2022)“…Limited genomic sampling in many high-incidence countries has impeded studies of severe respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic epidemiology…”
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Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
Published in Science advances (18-01-2023)“…Coronavirus disease 2019 (COVID-19) continues to affect the world, and the design of strategies to curb disease outbreaks requires close monitoring of their…”
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Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts
Published in PloS one (18-10-2023)“…Since 8th March 2020 up to the time of writing, we have been producing near real-time weekly estimates of SARS-CoV-2 transmissibility and forecasts of deaths…”
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Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates
Published in Epidemics (01-12-2022)“…SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and for modelling the dynamics of outbreaks. Understanding biases within…”
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How to Measure the Controllability of an Infectious Disease?
Published in Physical review. X (01-09-2024)“…Quantifying how difficult it is to control an emerging infectious disease is crucial to public health decision-making, providing valuable evidence on if…”
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Sub-spreading events limit the reliable elimination of heterogeneous epidemics
Published in Journal of the Royal Society interface (18-08-2021)“…We show that sub-spreading events, i.e. transmission events in which an infection propagates to few or no individuals, can be surprisingly important for…”
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On signalling and estimation limits for molecular birth-processes
Published in Journal of theoretical biology (07-11-2019)“…•Achievable precision on a signalling pathway is bounded by its capacity.•For birth-processes, a signalling motif called birth-following is found optimal.•It…”
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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
Published in Lancet Regional Health - Americas (Online) (01-01-2022)“…Brazil is one of the countries worst affected by the COVID-19 pandemic with over 20 million cases and 557,000 deaths reported by August 2021. Comparison of…”
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Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline Models
Published in Systematic biology (01-11-2020)“…Estimating temporal changes in a target population from phylogenetic or count data is an important problem in ecology and epidemiology. Reliable estimates can…”
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Jointly Inferring the Dynamics of Population Size and Sampling Intensity from Molecular Sequences
Published in Molecular biology and evolution (01-08-2020)“…Estimating past population dynamics from molecular sequences that have been sampled longitudinally through time is an important problem in infectious disease…”
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