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Don Klinkenberg

Researcher at Utrecht University

Publications -  91
Citations -  7348

Don Klinkenberg is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 31, co-authored 81 publications receiving 5987 citations. Previous affiliations of Don Klinkenberg include Medical Research Council & Wageningen University and Research Centre.

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How will country-based mitigation measures influence the course of the COVID-19 epidemic?

TL;DR: In this view, COVID-19 has developed into a pandemic, with small chains of transmission in many countries and large chains resulting in extensive spread in a few countries, such as Italy, Iran, South Korea, and Japan and it is unclear whether other countries can implement the stringent measures China eventually adopted.
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Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020.

TL;DR: Using the travel history and symptom onset of 88 confirmed cases that were detected outside Wuhan in the early outbreak phase, the mean incubation period is estimated to be 6.4 days, which should help inform 2019-nCoV case definitions and appropriate quarantine durations.
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The effectiveness of contact tracing in emerging epidemics

TL;DR: In this article, the authors investigated the effectiveness of contact tracing in the control of emerging infectious diseases, and deduced from a generic mathematical model how effectiveness relates to various aspects of time, such as the course of individual infectivity, the (variability in) time between infection and symptom-based detection, and delays in the tracing process.
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A mathematical model for the intracellular circadian rhythm generator

TL;DR: In this paper, a mathematical model for the intracellular circadian rhythm generator was studied, based on a negative feedback of protein products on the transcription rate of their genes, which was found to produce robust oscillations in protein and mRNA levels over a wide range of parameter values.
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Estimation of transmission parameters of H5N1 avian influenza virus in chickens.

TL;DR: Simulations based on the estimated parameters indicate that herd immunity may be obtained if at least 80% of chickens in a flock are vaccinated, and the implications for the control of H5N1 avian influenza virus in areas where it is endemic are discussed.