Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks
Vector-borne diseases are particularly sensitive to changes in weather and climate. Timely warnings from surveillance systems can help to detect and control outbreaks of infectious disease, facilitate effective management of finite resources, and contribute to knowledge generation, response planning...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2021
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| _version_ | 1797106629645172736 |
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| author | Pley, C Evans, M Lowe, R Montgomery, H Yacoub, S |
| author_facet | Pley, C Evans, M Lowe, R Montgomery, H Yacoub, S |
| author_sort | Pley, C |
| collection | OXFORD |
| description | Vector-borne diseases are particularly sensitive to changes in weather and climate. Timely warnings from surveillance systems can help to detect and control outbreaks of infectious disease, facilitate effective management of finite resources, and contribute to knowledge generation, response planning, and resource prioritisation in the long term, which can mitigate future outbreaks. Technological and digital innovations have enabled the incorporation of climatic data into surveillance systems, enhancing their capacity to predict trends in outbreak prevalence and location. Advance notice of the risk of an outbreak empowers decision makers and communities to scale up prevention and preparedness interventions and redirect resources for outbreak responses. In this Viewpoint, we outline important considerations in the advent of new technologies in disease surveillance, including the sustainability of innovation in the long term and the fundamental obligation to ensure that the communities that are affected by the disease are involved in the design of the technology and directly benefit from its application. |
| first_indexed | 2024-03-07T07:03:42Z |
| format | Journal article |
| id | oxford-uuid:c0f70999-3423-4ba2-b11a-ff4ae819d56a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:03:42Z |
| publishDate | 2021 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:c0f70999-3423-4ba2-b11a-ff4ae819d56a2022-04-12T09:38:18ZDigital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c0f70999-3423-4ba2-b11a-ff4ae819d56aEnglishSymplectic ElementsElsevier2021Pley, CEvans, MLowe, RMontgomery, HYacoub, SVector-borne diseases are particularly sensitive to changes in weather and climate. Timely warnings from surveillance systems can help to detect and control outbreaks of infectious disease, facilitate effective management of finite resources, and contribute to knowledge generation, response planning, and resource prioritisation in the long term, which can mitigate future outbreaks. Technological and digital innovations have enabled the incorporation of climatic data into surveillance systems, enhancing their capacity to predict trends in outbreak prevalence and location. Advance notice of the risk of an outbreak empowers decision makers and communities to scale up prevention and preparedness interventions and redirect resources for outbreak responses. In this Viewpoint, we outline important considerations in the advent of new technologies in disease surveillance, including the sustainability of innovation in the long term and the fundamental obligation to ensure that the communities that are affected by the disease are involved in the design of the technology and directly benefit from its application. |
| spellingShingle | Pley, C Evans, M Lowe, R Montgomery, H Yacoub, S Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks |
| title | Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks |
| title_full | Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks |
| title_fullStr | Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks |
| title_full_unstemmed | Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks |
| title_short | Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks |
| title_sort | digital and technological innovation in vector borne disease surveillance to predict detect and control climate driven outbreaks |
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