posted on 2020-08-18, 15:33authored byClinton LeachClinton Leach, Jennifer A. Hoeting, Kim M. Pepin, Álvaro E. Eiras, Mevin Hooten, Colleen T. Webb
Weekly reports of cases of "dengue-like illness" and number of trapped mosquitoes for the neighborhoods of Vitoria, Brazil, along with weekly weather station data. These data are used to estimate latent time series of mosquito mortality rates in a Bayesian mechanistic framework, the output of which is also included. Code to implement this model is available at https://github.com/clint-leach/mosquito-recon and the methods further described in the manuscript:
Leach CB, Hoeting JA, Pepin KM, Eiras AE, Hooten MB,
Webb CT (2020) Linking mosquito surveillance to dengue fever through
Bayesian mechanistic modeling. PLoS Negl Trop Dis 14(11):
e0008868.
https://doi.org/10.1371/journal.pntd.0008868
Files:
README.md provides description of the columns of each of the data files.
Data:
Vitoria.data.csv contains the dengue and mosquito surveillance data, providing weekly observations from week 1 of 2008 to week 34 of 2012.
Vitoria.weather.csv contains daily weather data from January 1, 2008 to December 31, 2012.
Model output:
chain.rds stores the HMC chain from the model described in the paper above.
moving_control.rds stores the results from control simulations described in the paper above.
Code to generate and process the model output is available in the Github repository linked above.