Journal
TRENDS IN PARASITOLOGY
Volume 34, Issue 3, Pages 227-245Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.pt.2017.11.006
Keywords
-
Categories
Funding
- German Research Platform for Zoonoses
- Federal Ministry of Education and Research [FKZ: 01KI1601]
- National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Emerging and Zoonotic Infections at the University of Liverpool
- Public Health England (PHE)
- Liverpool School of Tropical Medicine (LSTM)
- Farr Institute for Health Informatics Research (MRC) [MR/M0501633/1]
- German Research Platform for Zoonoses
- Federal Ministry of Education and Research [FKZ: 01KI1601]
- National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Emerging and Zoonotic Infections at the University of Liverpool
- Public Health England (PHE)
- Liverpool School of Tropical Medicine (LSTM)
- Farr Institute for Health Informatics Research (MRC) [MR/M0501633/1]
Ask authors/readers for more resources
Vector-borne diseases are on the rise globally. As the consequences of climate change are becoming evident, climate-based models of disease risk are of growing importance. Here, we review the current state-of-the-art in both mechanistic and correlative disease modelling, the data driving these models, the vectors and diseases covered, and climate models applied to assess future risk. We find that modelling techniques have advanced considerably, especially in terms of using ensembles of climate models and scenarios. Effects of extreme events, precipitation regimes, and seasonality on diseases are still poorly studied. Thorough validation of models is still a challenge and is complicated by a lack of field and laboratory data. On a larger scale, the main challenges today lie in cross-disciplinary and cross-sectoral transfer of data and methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available