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Recent releases of\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      \u2010transinfected\n                      <jats:italic>Ae.\u2009aegypti<\/jats:italic>\n                      in several cities worldwide have shown that it can reduce dengue transmission. However, these releases are costly, and, to date, no framework has been proposed for determining economically optimal release strategies that account for both costs associated with disease risk and releases.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      We present a flexible stochastic dynamic programming framework for determining optimal release schedules for\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      \u2010transinfected mosquitoes that balances the cost of dengue infection with the costs of rearing and releasing transinfected mosquitoes. Using an ordinary differential equation model of\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      and dengue in a hypothetical city loosely describing areas at risk of new dengue epidemics, we determined that an all\u2010or\u2010nothing release strategy that quickly brings\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      to fixation is often the optimal solution. Based on this, we examined the optimal facility size, finding that it was inelastic with respect to the mosquito population size, with a 100% increase in population size resulting in a 50\u201367% increase in optimal facility size. Furthermore, we found that these results are robust to mosquito life\u2010history parameters and are mostly determined by the mosquito population size and the fitness costs associated with\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>\n                      These results reinforce that\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      \u2010transinfected mosquitoes can reduce the cost of dengue epidemics. Furthermore, they emphasize the importance of determining the size of the target population and fitness costs associated with\n                      <jats:italic>Wolbachia<\/jats:italic>\n                      before releases occur. \u00a9 2024 The Authors.\n                      <jats:italic>Pest Management Science<\/jats:italic>\n                      published by John Wiley &amp; Sons Ltd on behalf of Society of Chemical Industry.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ps.8086","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T10:19:06Z","timestamp":1710929946000},"page":"3829-3838","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Economic optimization of\n                    <i>Wolbachia<\/i>\n                    \u2010infected\n                    <i>Aedes aegypti<\/i>\n                    release to prevent dengue"],"prefix":"10.1002","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1772-8191","authenticated-orcid":false,"given":"Brandon D.","family":"Hollingsworth","sequence":"first","affiliation":[{"name":"Department of Entomology Cornell University  Ithaca NY USA"},{"name":"Biomathematics Graduate Program and Department of Mathematics North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chanheung","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Agricultural and Resource Economics North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Vella","sequence":"additional","affiliation":[{"name":"Biomathematics Graduate Program and Department of Mathematics North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyeongyul","family":"Roh","sequence":"additional","affiliation":[{"name":"Department of Agricultural and Resource Economics North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian","family":"Sass","sequence":"additional","affiliation":[{"name":"Biomathematics Graduate Program and Department of Mathematics North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alun L.","family":"Lloyd","sequence":"additional","affiliation":[{"name":"Biomathematics Graduate Program and Department of Mathematics North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1301-4420","authenticated-orcid":false,"given":"Zachary S.","family":"Brown","sequence":"additional","affiliation":[{"name":"Department of Agricultural and Resource Economics North Carolina State University  Raleigh NC USA"},{"name":"Genetic Engineering and Society Center North Carolina State University  Raleigh NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,4,3]]},"reference":[{"key":"e_1_2_7_2_1","first-page":"1508","article-title":"The current and future global distribution and population at risk of dengue. 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