🐬
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Estimation of COVID-19 outbreak size in Italy
A. Tuite,
V. Ng,
E. Rees,
D. Fisman
|
7 |
2020 |
7 🐬
|
🐬
|
Differential permeability of rivers to raccoon gene flow corresponds to rabies incidence in Ontario, Canada
C. Cullingham,
C. Kyle,
B. Pond,
E. Rees,
B. White
|
6 |
2008 |
6 🐬
|
🐜
|
Understanding sources of sea lice for salmon farms in Chile.
7 auth.
A. B. Kristoffersen,
E. Rees,
H. Stryhn,
R. Ibarra,
J. L. Campistó,
C. Revie,
...
S. St-Hilaire
|
6 |
2013 |
6 🐜
|
🐜
|
Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia
10 auth.
Naizhuo Zhao,
K. Charland,
M. Carabali,
E. Nsoesie,
Mathieu Maheu-Giroux,
E. Rees,
...
Mengru Yuan,
C. García Balaguera,
Gloria Isabel Jaramillo Ramirez,
Kate Zinszer
|
6 |
2020 |
6 🐜
|
🐬
|
Combining direct and indirect genetic methods to estimate dispersal for informing wildlife disease management decisions
C. Cullingham,
B. Pond,
C. Kyle,
E. Rees,
R. Rosatte,
B. N. White
|
5 |
2008 |
5 🐬
|
🦁
|
Modelling the effect of landscape heterogeneity on the efficacy of vaccination for wildlife infectious disease control
E. Rees,
B. Pond,
R. Tinline,
D. Bélanger
|
5 |
2013 |
5 🦁
|
🐜
|
Using multiple imputation to estimate missing data in meta‐regression
8 auth.
E. Ellington,
G. Bastille‐Rousseau,
Cayla E. Austin,
Kristen N. Landolt,
B. Pond,
E. Rees,
...
Nicholas Robar,
D. Murray
|
5 |
2015 |
5 🐜
|
🐜
|
Lessons from sea louse and salmon epidemiology
13 auth.
M. Groner,
Luke A. Rogers,
Andrew W Bateman,
Andrew W Bateman,
B. Connors,
L. Frazer,
Sean C. Godwin,
M. Krkošek,
M. Lewis,
S. Peacock,
...
E. Rees,
C. Revie,
U. Schlägel
|
5 |
2016 |
5 🐜
|
🐜
|
Estimation of the COVID-19 burden in Egypt through exported case detection
7 auth.
A. Tuite,
V. Ng,
E. Rees,
D. Fisman,
A. Wilder-Smith,
K. Khan,
...
I. Bogoch
|
5 |
2020 |
5 🐜
|