Towards a Semi-Automatic Early Warning System for Vector-Borne Diseases
Open Access
- 12 February 2021
- journal article
- research article
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 18 (4), 1823
- https://doi.org/10.3390/ijerph18041823
Abstract
The emergence and spread of vector-borne diseases (VBDs) is a function of biotic, abiotic and socio-economic drivers of disease while their economic and societal burden depends upon a number of time-varying factors. This work is concerned with the development of an early warning system that can act as a predictive tool for public health preparedness and response. We employ a host-vector model that combines entomological (mosquito data), social (immigration rate, demographic data), environmental (temperature) and geographical data (risk areas). The output consists of appropriate maps depicting suitable risk measures such as the basic reproduction number, R0, and the probability of getting infected by the disease. These tools consist of the backbone of a semi-automatic early warning system tool which can potentially aid the monitoring and control of VBDs in different settings. In addition, it can be used for optimizing the cost-effectiveness of distinct control measures and the integration of open geospatial and climatological data. The R code used to generate the risk indicators and the corresponding spatial maps along with the data is made available.Keywords
This publication has 31 references indexed in Scilit:
- Temperature-Dependent Development of the Two-Spotted Ladybeetle,Adalia bipunctata, on the Green Peach Aphid,Myzus persicae, and a Factitious Food Under Constant TemperaturesJournal of Insect Science, 2010
- Toward an early warning system for dengue prevention: modeling climate impact on dengue transmissionClimatic Change, 2009
- Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virusEpidemics, 2009
- On the Delayed Ross–Macdonald Model for Malaria TransmissionBulletin of Mathematical Biology, 2008
- Modeling the Spatial Distribution of Mosquito Vectors for West Nile Virus in Connecticut, USAVector-Borne and Zoonotic Diseases, 2006
- The Risk of a Mosquito-Borne Infectionin a Heterogeneous EnvironmentPLoS Biology, 2004
- A new concept of probability metric and its applications in approximation of scattered data setsComputational Mechanics, 2004
- Comparative Temperature-Dependent Development ofNephus includens(Kirsch) andNephus bisignatus(Boheman) (Coleoptera: Coccinellidae) Preying onPlanococcus citri(Risso) (Homoptera: Pseudococcidae): Evaluation of a Linear and Various Nonlinear Models Using Specific CriteriaEnvironmental Entomology, 2004
- Temperature, Demography, and Ectotherm FitnessThe American Naturalist, 2001
- Bioclimatic Studies with InsectsAnnual Review of Entomology, 1959