lloydchapman Goto Github PK
Name: Lloyd Chapman
Type: User
Company: Lancaster University
Bio: Modelling and inference for infectious diseases
Location: Lancaster, UK
Blog: https://www.lancaster.ac.uk/maths/people/lloyd-chapman
Name: Lloyd Chapman
Type: User
Company: Lancaster University
Bio: Modelling and inference for infectious diseases
Location: Lancaster, UK
Blog: https://www.lancaster.ac.uk/maths/people/lloyd-chapman
The backend to the COVID-19 RShiny app (github.com/EU-ECDC/RShinyCovidApp)
The Los Angeles Times' independent tally of coronavirus cases in California.
For cleaning, processing, and serving CoMix data.
Code for 'Comparison of infection control strategies to reduce COVID-19 outbreaks in homeless shelters in the United States: a simulation study'
Code for 'Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia'
Code for 'Unexposed populations and potential COVID-19 hospitalisations and deaths in European countries as per data up to 21st November 2021'
Code for 'Risk factor targeting for vaccine prioritization during the COVID-19 pandemic'
Supplementary code for paper "Bayesian workflow for disease transmission model".
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Code for 'Demographic characteristics and prevalence of asymptomatic Leishmania donovani infection in migrant workers working in an endemic area in Northwest Ethiopia'
Workshop on spatial and spatio-temporal models using INLA
R code for fitting multi-state Markov model and producing figures in 'Quantification of the natural history of visceral leishmaniasis and consequences for control'
A Brief Introduction to Rcpp
SEIR models with odin, dust and mcstate
Code for 'The role of case proximity in transmission of visceral leishmaniasis in a highly endemic village in Bangladesh'
Analyses used in the paper "A spatio-temporal approach to short-term forecasting of visceral leishmaniasis diagnoses in India"
MATLAB code for performing statistical analyses and fitting reversible catalytic models in 'Age trends in asymptomatic and symptomatic Leishmania donovani infection in the Indian subcontinent: a review and analysis of data from diagnostic and epidemiological studies'
Code for 'Inferring transmission trees to guide targeting of interventions against visceral leishmaniasis and post–kala-azar dermal leishmaniasis'
STATA code for cleaning data and performing statistical analyses in 'Variations in visceral leishmaniasis burden, mortality and the pathway to care within Bihar, India'
MATLAB code for running simulations of Warwick visceral leishmaniasis transmission models in 'Policy recommendations from transmission modelling for the elimination of visceral leishmaniasis in the Indian subcontinent'
MATLAB code for fitting and performing predictions with Warwick visceral leishmaniasis transmission model in 'Elimination of visceral leishmaniasis in the Indian subcontinent: a comparison of predictions from three transmission models'
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.