Climate Change Bites: How disease-spreading bugs will impact our health and food security
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- Опубліковано 7 лип 2024
- In Oct 2021, BBSRC hosted Climate Change Bites, a UN Climate Change Conference digital event bringing together experts in vector biology & vector-borne diseases ahead of the COP26 conference in Glasgow. It was a joint discussion of a One Health approach to understand, predict and respond to the threat posed by vector borne diseases, which could have major effects on the resilience of our food supply and health as climate change progresses.
Vector-borne diseases are diseases spread by insects and ticks. They can affect humans, plants and animals, and include headline-hitting diseases such as malaria, dengue, bluetongue, Zika and Xylella fastidiosa.
Running order
00:00 Introduction: Victoria Gill, BBC
6:35 Prof Gary Foster, University of Liverpool. “Climate change changes the distribution of vectors of plant viruses: Plant viruses kill plants, no plants no food, no food big problem”
18:33 Dr Bethan Purse, UK Centre of Ecology and Hydrology. “Climate change and vector-borne disease: Ecology, ecosystems, vulnerability and adaption”
34:13 Dr Rachel Lowe, LSHTM. “Modeling the impacts of climate change on vector-borne disease transmission”
42:50 Dr Raman Velayudhan, World Health Organisation “Global threat of vector-borne disease in a changing environment”
57:23 Dr Tianna Brand , World Organisation for Animal Health (OIE) “The latest buzz on vector-borne disease in animals - a global overview from the OIE”
1:13:42 Panel discussion
See more COP26 events on the virtual UKRI COP26 event site:
whova.com/web/cop_202111/Agenda
Find out more about the research and innovation that's working to understand and tackle climate change:
www.ukri.org/our-work/respond...
#COP26 - Наука та технологія
Here are some links to further Information & resources:
UKRI Vector borne networks include:
www.connectedvirus.net/
vectorbite.org/
www.gla.ac.uk/research/az/antivec/
www.gnatwork.ac.uk/
www.bovanetwork.org/
globalvectorhub.lshtm.ac.uk/
bbsrc.ukri.org/research/programmes-networks/research-networks/gcrf-networks-in-vector-borne-disease-research/
www.lshtm.ac.uk/research/centres-projects-groups/mrc-international-statistics-and-epidemiology-group
www.lstmed.ac.uk/research/collaborations/global-network-for-neglected-tropical-diseases
www.imperial.ac.uk/mrc-global-infectious-disease-analysis
www.york.ac.uk/biomedical-research-institute/news/jcpil/
www.sanger.ac.uk/collaboration/mrc-centre-genomics-and-global-health-cggh/
OIE World Animal Health Information System
wahis.oie.int/#/home
Vector Resources
www.pirbright.ac.uk/arthropod-supplies
Relevant UKRI funding calls
www.ukri.org/news/uk-funding-for-international-effort-to-fight-livestock-diseases/
www.ukri.org/opportunity/uk-us-research-ecology-and-evolution-of-infectious-diseases-2021/
www.ukri.org/opportunity/partner-with-global-bioscience-laboratories/
Papers, publications
Bionomics of Temperate and Tropical Culicoides midges: Knowledge gaps and Consequences for transmission of Culicoides-Borne viruses.
Purse et al. 2015 Annual Review of Entomology 60: 373-392
www.annualreviews.org/doi/10.1146/annurev-ento-010814-020614
Ecosystem perspectives are needed to manage zoonotic risks in a changing climate
Gibbs et al. 2020, BMJ 371
doi: doi.org/10.1136/bmj.m3389
Predicting disease risk areas through co-production of spatial models: The example of Kyasanur Forest Disease in India’s forest landscapes
Purse et al. 2020, PLoS NTDs
journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0008179
‘None of my ancestors ever discussed this disease before!’ How disease information shapes adaptive capacity of marginalised rural populations in India
Asaaga et al. 2021, PLoS NTDs
journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0009265
Lyme Disease Risks in Europe under Multiple Uncertain Drivers of Change
Li et al. 2019. Environmental Health Perspectives
ehp.niehs.nih.gov/doi/10.1289/EHP4615
MonkeyFeverRisk Project
A One Health project to help forest communities avoid exposure to zoonotic diseases
www.monkeyfeverrisk.ceh.ac.uk/about-monkeyfeverrisk
Projecting the risk of mosquito-borne diseases in a warmer and more populated world: a multi-model, multi-scenario intercomparison modelling study
Colón-González et al., The Lancet Planet Health 2021: www.thelancet.com/journals/lanplh/article/PIIS2542-51962100132-7/fulltext
Climate services for health: From global observations to local interventions
Fletcher et al. Med 2021
www.cell.com/med/pdfExtended/S2666-6340(21)00112-4
Nonlinear and delayed impacts of climate on dengue risk in Barbados: A modelling study
Lowe et al., 2018 PLOS Medicine journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002613
Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
Lowe et al., The Lancet Infect Dis 2014
pubmed.ncbi.nlm.nih.gov/24841859/
Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study
Lowe et al., 2021 Lancet Planet Health
www.thelancet.com/journals/lanplh/article/PIIS2542-5196(20)30292-8/fulltext