Towards integrated surveillance of zoonoses: spatiotemporal joint modeling of rodent population data and human tularemia cases in Finland.

Chawarat RotejanaprasertA LawsonH RossowJ SaneO HuituH HenttonenV J Del Rio Vilas

Published in: BMC medical research methodology (2018)

These results support the integration of rodent population variables to reduce the uncertainty of tularemia risk estimates. However, more information on several covariates such as environmental, behavioral, and socio-economic factors can be investigated further to deeper understand the zoonotic relationship.

Keyphrases

endothelial cells
public health
electronic health record
big data
induced pluripotent stem cells
mass spectrometry
machine learning
high resolution
social media
climate change
human health
atomic force microscopy
data analysis