Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks

Summary: 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...

Full description

Bibliographic Details
Main Authors: Caitlin Pley, MB, Megan Evans, MSc, Rachel Lowe, PhD, Hugh Montgomery, ProfMDRes, Sophie Yacoub, PhD
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:The Lancet Planetary Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2542519621001418
id doaj-3bfcdbb8a1b441138977851143628d81
record_format Article
spelling doaj-3bfcdbb8a1b441138977851143628d812021-10-09T04:40:42ZengElsevierThe Lancet Planetary Health2542-51962021-10-01510e739e745Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaksCaitlin Pley, MB0Megan Evans, MSc1Rachel Lowe, PhD2Hugh Montgomery, ProfMDRes3Sophie Yacoub, PhD4School of Clinical Medicine, University of Cambridge, Cambridge, UKCentre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; Correspondence to: Dr Megan Evans, Centre for Environmental Health and Sustainability, University of Leicester, Leicester LE1 7LW, UKCentre on Climate Change and Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UKCentre for Human Health and Performance, University College London, London, UKOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam; Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UKSummary: 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.http://www.sciencedirect.com/science/article/pii/S2542519621001418
collection DOAJ
language English
format Article
sources DOAJ
author Caitlin Pley, MB
Megan Evans, MSc
Rachel Lowe, PhD
Hugh Montgomery, ProfMDRes
Sophie Yacoub, PhD
spellingShingle Caitlin Pley, MB
Megan Evans, MSc
Rachel Lowe, PhD
Hugh Montgomery, ProfMDRes
Sophie Yacoub, PhD
Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks
The Lancet Planetary Health
author_facet Caitlin Pley, MB
Megan Evans, MSc
Rachel Lowe, PhD
Hugh Montgomery, ProfMDRes
Sophie Yacoub, PhD
author_sort Caitlin Pley, MB
title 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_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_sort digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks
publisher Elsevier
series The Lancet Planetary Health
issn 2542-5196
publishDate 2021-10-01
description Summary: 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.
url http://www.sciencedirect.com/science/article/pii/S2542519621001418
work_keys_str_mv AT caitlinpleymb digitalandtechnologicalinnovationinvectorbornediseasesurveillancetopredictdetectandcontrolclimatedrivenoutbreaks
AT meganevansmsc digitalandtechnologicalinnovationinvectorbornediseasesurveillancetopredictdetectandcontrolclimatedrivenoutbreaks
AT rachellowephd digitalandtechnologicalinnovationinvectorbornediseasesurveillancetopredictdetectandcontrolclimatedrivenoutbreaks
AT hughmontgomeryprofmdres digitalandtechnologicalinnovationinvectorbornediseasesurveillancetopredictdetectandcontrolclimatedrivenoutbreaks
AT sophieyacoubphd digitalandtechnologicalinnovationinvectorbornediseasesurveillancetopredictdetectandcontrolclimatedrivenoutbreaks
_version_ 1716830515758104576