Kiki1017's repositories
MachineLearningLab
Some experiments about Machine Learning
Python-100-Days
Python - 100天从新手到大师
forem
For empowering community 🌱
nbPaper2
Code to run the simulations of using the NB transmission method to estimate the generation/serial interval and applying it to TB surveillance data from Massachusetts (Leavitt et al. ????).
o2geosocial
Transmission chain reconstruction using routinely-collected surveillance data
mixed_surveillance
Research projet on epidemiological surveillance using mixed model
epidemiar
R package with modeling, forecasting, and early detection & early warning alerts code for EPIDEMIA forecasting reports. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) Forecasting System is a set of tools coded in free, open-access software, that integrate surveillance and environmental data to model and create short-term forecasts for environmentally-mediated diseases. For producing formatted reports, see also the demo project based on malaria in Ethiopia (with demo data): https://github.com/EcoGRAPH/epidemiar-demo
Guatemala
Environmental Surveillance Results for PPLB
mds-1
:exclamation: This is a read-only mirror of the CRAN R package repository. mds — Medical Devices Surveillance
covid_spatial
A Bayesian Approach to Improving Spatial Estimates After Accounting for Misclassification Bias in Surveillance Data for COVID-19 in Philadelphia, PA.
epidemiar-demo
Demo R project to be used with package epidemiar for environmentally mediated disease modeling and forecasting, integrating data from epidemiological surveillance & environmental drivers. Demo is for malaria in Amhara region, Ethiopia. Epidemiological data are artificial and should not be used for research or public health. Find epidemiar here: https://github.com/EcoGRAPH/epidemiar
FluView
Computational surveillance of pneumonia and influenza mortality in FluView uses epidemic thresholds to identify high mortality rates but is limited by statistical issues such as seasonality and autocorrelation. We utilized time series anomaly detection to improve recognition of high mortality rates. Results suggest anomaly detection may complement mortality reporting. Constructed with assistance from Dr. Timothy Wiemken from Saint Louis University.
UNICEF-political-rule-civic-order
2020 report on the state of political rule and civil society among selected Asia Pacific countries
COVID-19-Surveillance-Dashboard
Worked with Dr. Timothy Wiemken and Dr. Chris Prener from Saint Louis University to develop a Shiny application for COVID-19. Highlights include: anomaly and breakout detection, GIS tabs displaying health data in Missouri, and the ability to upload your own data to be analyzed.
r-spatial.org
r-spatial.org blog sources
trendbreaker
Auto surveillance for count data WIP
freedom
An R package to calculate probability of freedom from disease in a population based on surveillance data
surveillance-1
Read-only mirror of "surveillance" from r-forge SVN.
mds
Medical Devices Surveillance
r-bridge-install
Install the R ArcGIS Tools
EcdcColors
Development of an R package for using colour palettes following March 2018 ECDC guidelines for presentation of surveillance data
syndromic
syndromic definitions for injury surveillance
teaching
Lectures and tutorials for number of courses in economics and statistics.
COVID-19_ML
Predictive model for the COVID-19 outbreak
cdccovidview
😷Weekly Surveillance Summary of U.S. COVID-19 Activity
injurymatrix
A R package for the implementation of ICD-10-CM injury matrix