ck2136/malaria2k17

Elementary geospatial analysis of malaria incidence in Mozambique # Analysis of the Impact of Weather and Intervention on Malaria Incidence ## Introduction This project is based on FS2017 Python&R Course in UC Denver Anschutz Medical Campus. ## Objective Based on the finalproject.pdf file 'to describe the temporal and spatial variation in these data and to draw conclusions about the relationships between the variables' ## Data For this project the data can be found in the data folder... usually shouldn't put data on GITHUB but bc this is just a HW assignment and the data is publically available... DATA folder it is. The weather data is extracted from rap.ucar.edu ## Description of Data Check the finalproject.pdf ## Write-up This project should be completed by all individuals in the class. You may work in groups, but if you do, each person needs to submit their own write-up and please include the names of the individuals with whom you worked. The write-up should include a background section with a literature review and citations (at least one page), a description of the problem and data (approximately one page), results (no page expectation, but there should be 4-5 figures and at least one should be a map), conclusions, references and any supplemental material you choose to include. ## Code for Analysis /code folder contains the analysis code. Specifically the analysis used glmer() and mcmcglmm() but particular attention was paid to mcmcglmm() due to the nature of convergence issues using glmer(). ## Appendix /Appendix folder contains information regarding figures and tables that were not included in the final presented document located in shinyapps.io. Namely MCMC diagnostic plots and glmer() analysis tables and figures. ## Interactive Document Location The project document is a shiny-embedded document that currently is located at pharmacoecon.shinyapps.io. The document presents analysis regardin the impact of weather and interventions on malaria …