A minimum data standard for vector competence experiments
Abstract The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to t...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-10-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-022-01741-4 |
| _version_ | 1828140496987357184 |
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| author | Velen Yifei Wu Binqi Chen Rebecca Christofferson Gregory Ebel Anna C. Fagre Emily N. Gallichotte Amy R. Sweeny Colin J. Carlson Sadie J. Ryan |
| author_facet | Velen Yifei Wu Binqi Chen Rebecca Christofferson Gregory Ebel Anna C. Fagre Emily N. Gallichotte Amy R. Sweeny Colin J. Carlson Sadie J. Ryan |
| author_sort | Velen Yifei Wu |
| collection | DOAJ |
| description | Abstract The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to transmit certain pathogens). Data from these experiments are critical to understand outbreak risk, but – despite having been collected and reported for a large range of vector-pathogen combinations – terminology is inconsistent, records are scattered across studies, and the accompanying publications often share data with insufficient detail for reuse or synthesis. Here, we present a minimum data and metadata standard for reporting the results of vector competence experiments. Our reporting checklist strikes a balance between completeness and labor-intensiveness, with the goal of making these important experimental data easier to find and reuse in the future, without much added effort for the scientists generating the data. To illustrate the standard, we provide an example that reproduces results from a study of Aedes aegypti vector competence for Zika virus. |
| first_indexed | 2024-04-11T19:10:29Z |
| format | Article |
| id | doaj.art-27568c3e0d9447cbb86e5d630b598c90 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-11T19:10:29Z |
| publishDate | 2022-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-27568c3e0d9447cbb86e5d630b598c902022-12-22T04:07:38ZengNature PortfolioScientific Data2052-44632022-10-01911610.1038/s41597-022-01741-4A minimum data standard for vector competence experimentsVelen Yifei Wu0Binqi Chen1Rebecca Christofferson2Gregory Ebel3Anna C. Fagre4Emily N. Gallichotte5Amy R. Sweeny6Colin J. Carlson7Sadie J. Ryan8Center for Global Health Science and Security, Georgetown University Medical CenterCenter for Global Health Science and Security, Georgetown University Medical CenterDepartment of Pathobiological Sciences, Louisiana State UniversityCenter for Vector-borne Infectious Diseases, Colorado State UniversityCenter for Vector-borne Infectious Diseases, Colorado State UniversityCenter for Vector-borne Infectious Diseases, Colorado State UniversityCenter for Global Health Science and Security, Georgetown University Medical CenterCenter for Global Health Science and Security, Georgetown University Medical CenterDepartment of Geography, University of FloridaAbstract The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to transmit certain pathogens). Data from these experiments are critical to understand outbreak risk, but – despite having been collected and reported for a large range of vector-pathogen combinations – terminology is inconsistent, records are scattered across studies, and the accompanying publications often share data with insufficient detail for reuse or synthesis. Here, we present a minimum data and metadata standard for reporting the results of vector competence experiments. Our reporting checklist strikes a balance between completeness and labor-intensiveness, with the goal of making these important experimental data easier to find and reuse in the future, without much added effort for the scientists generating the data. To illustrate the standard, we provide an example that reproduces results from a study of Aedes aegypti vector competence for Zika virus.https://doi.org/10.1038/s41597-022-01741-4 |
| spellingShingle | Velen Yifei Wu Binqi Chen Rebecca Christofferson Gregory Ebel Anna C. Fagre Emily N. Gallichotte Amy R. Sweeny Colin J. Carlson Sadie J. Ryan A minimum data standard for vector competence experiments Scientific Data |
| title | A minimum data standard for vector competence experiments |
| title_full | A minimum data standard for vector competence experiments |
| title_fullStr | A minimum data standard for vector competence experiments |
| title_full_unstemmed | A minimum data standard for vector competence experiments |
| title_short | A minimum data standard for vector competence experiments |
| title_sort | minimum data standard for vector competence experiments |
| url | https://doi.org/10.1038/s41597-022-01741-4 |
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