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Towards a semi-automatic early warning system for vector-borne diseases
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Pergantas, Panagiotis, Papanikolaou, Nikos E., Malesios, Chrisovalantis, Tsatsaris, Andreas, Kondakis, Marios, Perganta, Iokasti, Tselentis, Yiannis and Demiris, Nikos (2021) Towards a semi-automatic early warning system for vector-borne diseases. International Journal of Environmental Research and Public Health, 18 (4). p. 1823. doi:10.3390/ijerph18041823 ISSN 1660-4601.
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Official URL: http://dx.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.
Item Type: | Journal Article | ||||||
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Subjects: | R Medicine > RA Public aspects of medicine | ||||||
Divisions: | Faculty of Arts > School for Cross-faculty Studies > Institute for Global Sustainable Development | ||||||
Library of Congress Subject Headings (LCSH): | Insects as carriers of disease, Vector-pathogen relationships, Vector control, Malaria, Epidemics, Arbovirus infections, Remote sensing, Malaria -- Prevention | ||||||
Journal or Publication Title: | International Journal of Environmental Research and Public Health | ||||||
Publisher: | M D P I AG | ||||||
ISSN: | 1660-4601 | ||||||
Official Date: | 13 February 2021 | ||||||
Dates: |
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Volume: | 18 | ||||||
Number: | 4 | ||||||
Page Range: | p. 1823 | ||||||
DOI: | 10.3390/ijerph18041823 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 30 June 2023 | ||||||
Date of first compliant Open Access: | 3 July 2023 |
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