Modeling multiple infectious diseases for cost-effectiveness analysis
Abstract/Contents
- Abstract
- Cost-effectiveness analyses can quantify and compare the benefits, harms, and costs of potential health interventions. Often, researchers will model a single disease for a cost-effectiveness analysis. However, some interventions can prevent multiple infectious diseases. For example, the Aedes aegypti and Aedes albopictus mosquitos transmit chikungunya, Zika, dengue, and yellow fever, and thus controlling these mosquitos can prevent cases of all four diseases. This dissertation focuses on applications of and methods for modeling multiple infectious diseases in cost-effectiveness analyses. First, I investigate if the results of a cost-effectiveness analysis can depend on the set of diseases that are modeled if some interventions prevent more than one disease. Next, I model both chikungunya and dengue to conduct a cost-effectiveness analysis of prevention measures for both diseases in Colombia. Finally, I develop conditions under which it is necessary to model multiple diseases when conducting a cost-effectiveness analysis and propose methods for using parallel modeling to simplify multi-disease modeling.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Claypool, Anneke Laurel |
|---|---|
| Degree supervisor | Brandeau, Margaret L |
| Thesis advisor | Brandeau, Margaret L |
| Thesis advisor | Bendavid, Eran |
| Thesis advisor | Goldhaber-Fiebert, Jeremy D |
| Degree committee member | Bendavid, Eran |
| Degree committee member | Goldhaber-Fiebert, Jeremy D |
| Associated with | Stanford University, Department of Management Science and Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Anneke L. Claypool. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/rp079by6171 |
Access conditions
- Copyright
- © 2021 by Anneke Laurel Claypool
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