Matching decision support modeling frameworks to disease emergence stages and associated management objectives
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
Abstract
Wildlife disease management decisions often require rapid responses to situations that are fraught with uncertainty. By recognizing that management is implemented to achieve specific objectives, resource managers and science partners can identify an analysis technique and develop a monitoring plan to evaluate management effectiveness. For emerging infectious diseases, objectives may take several distinct forms, dependent on the perceived stage of disease emergence (i.e., pre-epidemic, early outbreak, mid-epidemic, and endemic), the expected rate of spread, and the anticipated effect of the disease on host populations. Identifying modeling techniques and metrics that are linked to management objectives will require early and consistent communication between managers and science partners. We link modeling approaches that can be used to forecast and evaluate the performance of intervention strategies with a range of disease management objectives. Our aim is to help scientists recognize alternative modeling approaches which may better align with different forms of disease management objectives, and to help managers evaluate the relevance of proposed modeling approaches to their specified objectives for disease management. Recognizing that disease management objectives can take different forms, and thus require different modeling approaches, can help wildlife disease response teams (i.e., natural resource managers, scientists, and stakeholders working collaboratively) better prepare and respond to disease threats.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Matching decision support modeling frameworks to disease emergence stages and associated management objectives |
| Series title | Conservation Science and Practice |
| DOI | 10.1111/csp2.13085 |
| Volume | 6 |
| Issue | 3 |
| Year Published | 2024 |
| Language | English |
| Publisher | Conservation Science and Practice |
| Contributing office(s) | Eastern Ecological Science Center |
| Description | e13085, 11 p. |
| Google Analytic Metrics | Metrics page |