Maximum global expected net gain of sampling.

Maximum global expected net gain of sampling.

<p>We illustrate the maximum global expected net gain of sampling (ENGS) associated with various wastewater and environmental surveillance (WES) strategies for different parameter sets that reflect A) asymmetric disease dynamics and symmetric costs, B) symmetric disease dynamics and asymmetric...

Full description

Saved in:
Bibliographic Details
Main Author: Isabella Impalli (21602108) (author)
Other Authors: Erik Bergland (21602111) (author), Chadi M. Saad-Roy (9027875) (author), Bryan T. Grenfell (7377548) (author), Simon A. Levin (8500719) (author), D. G. Joakim Larsson (7818812) (author), Ramanan Laxminarayan (92784) (author)
Published: 2025
Subjects:
Molecular Biology
Evolutionary Biology
Ecology
Cancer
Science Policy
Infectious Diseases
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
surveilled requires coordination
offers significant advantages
two interacting patches
traditional surveillance methods
xlink "> wastewater
wes involves financial
overall infection burden
different sampling site
detecting infectious diseases
quicker surveillance detection
patches less frequently
optimal sampling frequency
sampling frequency
infectious diseases
sampling frequencies
early detection
infectious pathogens
patches allows
site selection
environmental surveillance
wes strategies
wes outweigh
wes effectiveness
sufficiently interactive
sufficient sensitivity
specific pathogens
promising method
patch interaction
paper provides
optimal number
one patch
numerical simulations
leaving opportunity
increased mixing
high level
efficient implementation
disease arrival
crucial determinants
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items