Rodent reservoirs of future zoonotic diseases

By Barbara A. Han, J. Schmidt, Sarah Bowden, John M. Drake. Proceedings of the National Academy of Sciences of the United States of America, 2015

545 citations recorded by the source corpus.

Subfields: Infectious Diseases, Modeling and Simulation, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/553b4ddcc723c58bc88dd20730120991d0fa8c5e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Infectious Diseases

1. P. Daszak

In Public Health, Environmental and Occupational Health

1. P. Daszak

Citations in the corpus

• Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology (2018, background): “Predicting Reservoirs of Zoonotic Diseases [35]”
• Machine learning and deep learning—A review for ecologists (2022, unknown): “…other similar-sounding approaches such as identifying predictive trait profiles (domain expertise is used to group features and by including and excluding them from the model, their predictive capabilities are estimated (e.g. Han et al., 2015)), in that the goal is to understand the model itself.”
• Host and viral traits predict zoonotic spillover from mammals (2017, methodology): “Han et al. 2015 used a binary response variable and boosted regression trees to determine whether or not a given rodent species is host to at least one zoonotic virus2.”