| Literature DB >> 29229233 |
Nils Benjamin Tjaden1, Cyril Caminade2, Carl Beierkuhnlein3, Stephanie Margarete Thomas4.
Abstract
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.Entities:
Keywords: climate change; epidemiology; hazard; model; risk; vector-borne diseases
Mesh:
Year: 2017 PMID: 29229233 DOI: 10.1016/j.pt.2017.11.006
Source DB: PubMed Journal: Trends Parasitol ISSN: 1471-4922