Lectures
========
.. contents::
:local:
Dashboards
++++++++++
* `covidtracker `_
* `COVID-19 Daily Epidemic Forecasting
`_
(`code `_)
* `COVID-19 - France
`_
* `EndCoronavirus.org `_
Articles de journaux
++++++++++++++++++++
* `Données épidémiologiques: la pénurie cachée
`_
Données publiques
+++++++++++++++++
* `Données des urgences hospitalières et de SOS médecins relatives à l'épidémie de COVID-19
`_
(open.data.gouv.fr)
* `COVID-19
`_, données mise à jour quotidiennement
reprenant les décomptes pour chaque pays
* `Données des urgences hospitalières et de SOS médecins relatives à l'épidémie de COVID-19
`_
* `Population par tranche d'âge et sexe (estimations localisées de population)
`_
* `Densité de population (habitants au km2) 2016
`_
* `Matrices de contacts française
`_
* `Data Drees
`_
* `SNCF - COVID-19 : évolution de la mobilité des français
`_
* `PopulationPyramid.net
`_,
le même site sur les départements français serait une bonne idée
Lectures
++++++++
*Pasteur*
* `EPIDÉMIOLOGIE DU SARS-COV-2 DANS UNE POPULATION VACCINÉE ET IMPLICATIONS POUR LE CONTRÔLE D’UN REBOND AUTOMNAL
`_
*Modèles*
* `CODATA `_
* `Un panorama des recherches contre le COVID-19 dans le domaine des sciences et technologie de l'information
`_
* `Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020
`_
* `Modélisation de l'épidémie de COVID-19
`_
* `AI v Covid-19 `_ (catalogue d'articles)
* `Inferring COVID-19 spreading rates and potential change points for case number forecasts
`_
* `Des chercheurs revoient le seuil d'immunité collective à la baisse
`_
* `Economic considerations for social distancing and behavioral based policies during an epidemic
`_
*Biology*
* `Coronavirus : au cœur de la bataille immunitaire contre le virus
`_,
cet article explique de façon très claire comment les échanges entre
le virus et le corps humain.
Une série d'articles intéressants...
* `Coronavirus: Learning How to Dance (Part 1)
`_
* `Coronavirus: The Basic Dance Steps Everybody Can Follow (Part 2)
`_
* `Coronavirus: How to Do Testing and Contact Tracing (Part 3)
`_
Et la critique que France Culture faisait de l'auteur le 16 mars 2020
sur son article
`Coronavirus : Agissez Aujourd'hui
`_ :
`Coronavirus : une épidémie de faux articles scientifiques
`_.
*Study*
* `MODELING COVID-19 IN THE UNITED STATES `_ (dashboard)
* `Effectiveness of social distancing strategies for protecting a community from a pandemic with a datadriven contact network based on census and real-world mobility data
`_
* `Epidemiological characteristics of COVID-19 cases in Italy and estimates of the reproductive numbers one month into the epidemic
`_
* `Effectiveness of social distancing strategies for protecting a community from a pandemic with a data-driven contact network based on census and real-world mobility data
`_
* `Mobile phone data and COVID-19: Missing an opportunity?
`_
* `Estimating the burden of SARS-CoV-2 in France
`_
* `Experts envision two scenarios if the new coronavirus isn't contained
`_
* `OpenSAFELY: factors associated with COVID-19-related hospital death in the
linked electronic health records of 17 million adult NHS patients.
`_
* `Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold
`_
*SIR*
* `MODELING PANDEMICS (3)
`_,
modèle :epkg:`SIR` par Arthur Charpentier
* `Propagation of the SARS-CoV-2 coronavirus
`_,
modèle `SLIADRE `_
* `COVID-19 dynamics with SIR model
`_
* `Infectious Disease Modelling: Beyond the Basic SIR Model
`_
* `Infectious Disease Modelling: Fit Your Model to Coronavirus Data
`_,
`notebook `_
* `COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability
`_
*R0*
* `The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks
`_
* `Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China
`_
* `A Robust Stochastic Method of Estimating the Transmission Potential of 2019-nCoV
`_
* `Data driven inference of the reproduction number (R0) for COVID-19 before
and after interventions for 51 European countries
`_
*P0*
* `P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
`_
*SIR + Kalman*
* `Infection Modeling — Part 1
`_
* `An Improved State Filter Algorithm for SIR Epidemic Forecasting
`_
* `Ensemble Kalman Filter
`_,
`Extended Kalman filter
`_
* `Data Assimilation Using an Ensemble Kalman Filter Technique
`_
* `Extended Kalman Filter: Why do we need an Extended Version?
`_
* `Ensemble Kalman Filtering without a Model
`_
*Simulation micro*
* `Measurability of the epidemic reproduction number in data-driven contact networks
`_
* `Modelling the coronavirus epidemic in a city with Python
`_
* `A mathematical model for the spatiotemporal epidemic spreading of COVID19
`_
* `Modeling the spatial spread of infectious diseases: the GLobal Epidemic and Mobility computational model
`_,
cet article contient notemment des matrices de contacts venant de l'article qui
suit.
* `Using Data on Social Contacts to Estimate Age-specific Transmission Parameters for Respiratory-spread Infectious Agents
`_
* `Unifying Markov Chain Approach for Disease and Rumor Spreading in Complex Networks
`_
* `Modèle CAST `_,
`notebook `_,
`py-propagsim `_
* `Modelling the coronavirus epidemic in a city with Python
`_
*Temporal Point Process*
* `COVID-19 machine learning projects at Max Planck Institute
`_
* `Learning with Temporal Point Processes
`_
* `An Introduction to Event History Analysis
`_
* `Survival and Event History Analysis, A Process Point of View
`_
* `An Introduction to the Theory of Point Processes, volume I, Elementary Theory and Methods, 2nd Edition
`_
* `An Introduction to the Theory of Point Processes, volume II, General Thoery and Structure, 2nd Edition
`_
Modules
+++++++
* :epkg:`pyepydemic`, comme ce modules, il permet de simuler
une épidémie mais il ne permet pas d'estimer les coefficients
ce qui est l'objectif visé ici.
* `Mathematics of Epidemics on Networks
`_,
c'est autant un livre qu'un module.
Code
++++
* `EpiEstim `_ (R), estimation du R
* :epkg:`epyestim` (python), estimation du R
* `Bayesian inference and forecast of COVID-19
`_
* `A Spatiotemporal Epidemic Model to Quantify The Effects of Testing, Contact Tracing and Containment
`_
* `COVID-19 CovidSim Model
`_ (R + C++)
* `pyross `_,
PyRoss: Infectious disease models in Python
Tools
+++++
* `Analytics can identify infected patients
`_
2021
++++
* `Le COVID 19, les gènes et le comportement `_,
cet article relie le taux de mortalité par pays avec certaines caractéristiques
de la population, groupe sanguin, obésité, âge moyen, enzyme ACE, ACE II.