Haider, Najmul Vairo, Francesco Ippolito, Giuseppe Zumla, Alimuddin Kock, Richard A.
Published in
Emerging Infectious Diseases
We estimated the weighted mean basic reproduction number (R0) of chikungunya virus based on outbreak size. R0 was 3.4 (95% CI 2.4–4.2) and varied for 2 primary chikungunya mosquito vectors: 4.1 (95% CI 1.5–6.6) for Aedes aegypti and 2.8 (95% CI 1.8–3.8) for Ae. albopictus .
De Visscher, Alex
Published in
Nonlinear dynamics
An epidemiological model for COVID-19 was developed and implemented in MATLAB/GNU Octave for use by public health practitioners, policy makers, and the general public. The model distinguishes four stages in the disease: infected, sick, seriously sick, and better. The model was preliminarily parameterized based on observations of the spread of the d...
Blagrove, Marcus S. C. Caminade, Cyril Diggle, Peter J. Patterson, Edward I. Sherlock, Ken Chapman, Gail E. Hesson, Jenny Metelmann, Soeren McCall, Philip J. Lycett, Gareth
...
Published in
Proceedings of the Royal Society B: Biological Sciences
Mosquito-borne Zika virus (ZIKV) transmission has almost exclusively been detected in the tropics despite the distributions of its primary vectors extending farther into temperate regions. Therefore, it is unknown whether ZIKV's range has reached a temperature-dependent limit, or if it can spread into temperate climates. Using field-collected mosqu...
Dropkin, Greg
Published in
Frontiers in Public Health
Introduction: The first reported UK case of COVID-19 occurred on 30 January 2020. A lockdown from 24 March was partially relaxed on 10 May. One model to forecast disease spread depends on clinical parameters and transmission rates. Output includes the basic reproduction number R 0 and the log growth rate r in the exponential phase. Methods: Office ...
Liu, Ying Gayle, Albert A. Wilder-Smith, Annelies Rocklöv, Joacim
Teaser: Our review found the average R0 for 2019-nCoV to be 3.28, which exceeds WHO estimates of 1.4 to 2.5.
Bailes, Emily J Bagi, Judit Coltman, Jake Fountain, Michelle T Wilfert, Lena Brown, Mark J F
Published in
Proceedings. Biological sciences
Supplemental feeding of wildlife populations can locally increase the density of individuals, which may in turn impact disease dynamics. Flower strips are a widely used intervention in intensive agricultural systems to nutritionally support pollinators such as bees. Using a controlled experimental semi-field design, we asked how density impacts tra...
Marcon, Andrea Linden, Annick Satran, Petr Gervasi, Vincenzo Licoppe, Alain Guberti, Vittorio
Published in
Veterinary Sciences
African swine fever (ASF) is a contagious haemorrhagic fever that affects both domesticated and wild pigs. Since ASF reached Europe wild boar populations have been a reservoir for the virus. Collecting reliable data on infected individuals in wild populations is challenging, and this makes it difficult to deploy an effective eradication strategy. H...
Mohamed, Wessam Ito, Kimihito Omori, Ryosuke
Published in
Frontiers in microbiology
In 2014 and 2015, the number of human cases of H5N1 avian influenza virus infections had increased dramatically in Egypt. This increase might be related to increase in the transmission potential of the virus among humans. To clarify the cause of the increase in H5N1 human cases, we investigate the transmissibility of H5N1 viruses among humans via e...
McMillan, Joseph R Marcet, Paula L Hoover, Christopher M Mead, Daniel Kitron, Uriel Vazquez-Prokopec, Gonzalo M
Published in
Vector borne and zoonotic diseases (Larchmont, N.Y.)
Arthropod vector feeding preferences are defined as an overutilization of a particular host species given its abundance in relationship to other species in the community. Numerous methods exist to quantify vector feeding preferences; however, controlled host choice experiments are generally an underutilized approach. In this report, we present resu...
Getz, Wayne M Salter, Richard Mgbara, Whitney
Published in
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Dynamic SEIR (Susceptible, Exposed, Infectious, Removed) compartmental models provide a tool for predicting the size and duration of both unfettered and managed outbreaks-the latter in the context of interventions such as case detection, patient isolation, vaccination and treatment. The reliability of this tool depends on the validity of key assump...