Spatially clustered count data provide more efficient search strategies in invasion biology and disease control-Reference-Cited by-同舟云学术

Spatially clustered count data provide more efficient search strategies in invasion biology and disease control

Published:2021-05-04 Issue:5 Volume:31 Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecol Appl

Author:

Stevens Michael C. A.¹²^ORCID,Faulkner Sally C.¹^ORCID,Wilke André B. B.³^ORCID,Beier John C.³,Vasquez Chalmers⁴,Petrie William D.⁴,Fry Hannah²^ORCID,Nichols Richard A.¹^ORCID,Verity Robert⁵^ORCID,Le Comber Steven C.¹^ORCID

Affiliation:

1. School of Biological and Chemical Sciences Queen Mary University of London London E1 4NS UK

2. Centre for Advanced Spatial Analysis University College London London W1T 4TJ UK

3. Department of Public Health Sciences Miller School of Medicine University of Miami Miami Florida 33136 USA

4. Miami‐Dade County Mosquito Control Division Miami Florida 33178 USA

5. Department of Infectious Disease Epidemiology MRC Centre for Global Infectious Disease Analysis Imperial College London London W2 1PG UK

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2329

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