Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations]
Invasions by pest insects pose a significant threat to agriculture worldwide. In the case of Ceratitis capitata incursions on the US mainland, where it is not officially established, repeated detections are followed by quarantines and treatments to eliminate the invading population. However, it is d...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2018-03-01
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| Series: | F1000Research |
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| Online Access: | https://f1000research.com/articles/6-1863/v2 |
| _version_ | 1818111876866768896 |
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| author | Travis Collier Nicholas Manoukis |
| author_facet | Travis Collier Nicholas Manoukis |
| author_sort | Travis Collier |
| collection | DOAJ |
| description | Invasions by pest insects pose a significant threat to agriculture worldwide. In the case of Ceratitis capitata incursions on the US mainland, where it is not officially established, repeated detections are followed by quarantines and treatments to eliminate the invading population. However, it is difficult to accurately set quarantine duration because non-detection may not mean the pest is eliminated. Most programs extend quarantine lengths past the last fly detection by calculating the amount of time required for 3 generations to elapse under a thermal unit accumulation development model (“degree day”). A newer approach is to use an Agent-Based Simulation (ABS) to explicitly simulate population demographics and elimination. Here, predicted quarantine lengths for 11 sites in the continental United States are evaluated using both approaches. Results indicate a strong seasonality in quarantine length, with longer predictions in the second half of the year compared with the first; this pattern is more extreme in degree day predictions compared with ABS. Geographically, quarantine lengths increased with latitude, though this was less pronounced under the ABS. Variation in quarantine lengths for particular times and places was dramatically larger for degree day than ABS, generally spiking in the middle of the year for degree day and peaking in second half of the year for ABS. Analysis of 34 C. capitata quarantines from 1975 to 2017 in California shows that, for all but two, quarantines were started in the second half of the year, when degree day quarantine lengths are longest and have the highest uncertainty. For a set of hypothetical outbreaks based on these historical quarantines, the ABS produced significantly shorter quarantines than degree day calculations. Overall, ABS quarantine lengths were more consistent than degree day predictions, avoided unrealistically long values, and captured effects of rare events such as cold snaps. |
| first_indexed | 2024-12-11T03:10:01Z |
| format | Article |
| id | doaj.art-94c0dedfdd0f48129cc1f8203db6e24e |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-12-11T03:10:01Z |
| publishDate | 2018-03-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-94c0dedfdd0f48129cc1f8203db6e24e2022-12-22T01:22:54ZengF1000 Research LtdF1000Research2046-14022018-03-01610.12688/f1000research.12817.215340Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations]Travis Collier0Nicholas Manoukis1Daniel K. Inouye US Pacific Basin Agricultural Research Center (PBARC), United States Department of Agriculture, Agricultural Research Service, Hilo, Hawaii, USADaniel K. Inouye US Pacific Basin Agricultural Research Center (PBARC), United States Department of Agriculture, Agricultural Research Service, Hilo, Hawaii, USAInvasions by pest insects pose a significant threat to agriculture worldwide. In the case of Ceratitis capitata incursions on the US mainland, where it is not officially established, repeated detections are followed by quarantines and treatments to eliminate the invading population. However, it is difficult to accurately set quarantine duration because non-detection may not mean the pest is eliminated. Most programs extend quarantine lengths past the last fly detection by calculating the amount of time required for 3 generations to elapse under a thermal unit accumulation development model (“degree day”). A newer approach is to use an Agent-Based Simulation (ABS) to explicitly simulate population demographics and elimination. Here, predicted quarantine lengths for 11 sites in the continental United States are evaluated using both approaches. Results indicate a strong seasonality in quarantine length, with longer predictions in the second half of the year compared with the first; this pattern is more extreme in degree day predictions compared with ABS. Geographically, quarantine lengths increased with latitude, though this was less pronounced under the ABS. Variation in quarantine lengths for particular times and places was dramatically larger for degree day than ABS, generally spiking in the middle of the year for degree day and peaking in second half of the year for ABS. Analysis of 34 C. capitata quarantines from 1975 to 2017 in California shows that, for all but two, quarantines were started in the second half of the year, when degree day quarantine lengths are longest and have the highest uncertainty. For a set of hypothetical outbreaks based on these historical quarantines, the ABS produced significantly shorter quarantines than degree day calculations. Overall, ABS quarantine lengths were more consistent than degree day predictions, avoided unrealistically long values, and captured effects of rare events such as cold snaps.https://f1000research.com/articles/6-1863/v2EpidemiologyStatistical Methodologies & Health Informatics |
| spellingShingle | Travis Collier Nicholas Manoukis Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations] F1000Research Epidemiology Statistical Methodologies & Health Informatics |
| title | Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations] |
| title_full | Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations] |
| title_fullStr | Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations] |
| title_full_unstemmed | Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations] |
| title_short | Evaluation of predicted Medfly (Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models [version 2; referees: 2 approved, 1 approved with reservations] |
| title_sort | evaluation of predicted medfly ceratitis capitata quarantine length in the united states utilizing degree day and agent based models version 2 referees 2 approved 1 approved with reservations |
| topic | Epidemiology Statistical Methodologies & Health Informatics |
| url | https://f1000research.com/articles/6-1863/v2 |
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