Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review
Earth Observation (EO) data can be leveraged to estimate environmental variables that influence the transmission cycle of the pathogens that lead to mosquito-borne diseases (MBDs). The aim of this scoping review is to examine the state-of-the-art and identify knowledge gaps on the latest methods tha...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/11/16/1862 |
| _version_ | 1798025794094628864 |
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| author | Elisavet Parselia Charalampos Kontoes Alexia Tsouni Christos Hadjichristodoulou Ioannis Kioutsioukis Gkikas Magiorkinis Nikolaos I. Stilianakis |
| author_facet | Elisavet Parselia Charalampos Kontoes Alexia Tsouni Christos Hadjichristodoulou Ioannis Kioutsioukis Gkikas Magiorkinis Nikolaos I. Stilianakis |
| author_sort | Elisavet Parselia |
| collection | DOAJ |
| description | Earth Observation (EO) data can be leveraged to estimate environmental variables that influence the transmission cycle of the pathogens that lead to mosquito-borne diseases (MBDs). The aim of this scoping review is to examine the state-of-the-art and identify knowledge gaps on the latest methods that used satellite EO data in their epidemiological models focusing on malaria, dengue and West Nile Virus (WNV). In total, 43 scientific papers met the inclusion criteria and were considered in this review. Researchers have examined a wide variety of methodologies ranging from statistical to machine learning algorithms. A number of studies used models and EO data that seemed promising and claimed to be easily replicated in different geographic contexts, enabling the realization of systems on regional and national scales. The need has emerged to leverage furthermore new powerful modeling approaches, like artificial intelligence and ensemble modeling and explore new and enhanced EO sensors towards the analysis of big satellite data, in order to develop accurate epidemiological models and contribute to the reduction of the burden of MBDs. |
| first_indexed | 2024-04-11T18:24:29Z |
| format | Article |
| id | doaj.art-bdb17cb777e54fe6813f3529b6941211 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T18:24:29Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-bdb17cb777e54fe6813f3529b69412112022-12-22T04:09:41ZengMDPI AGRemote Sensing2072-42922019-08-011116186210.3390/rs11161862rs11161862Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping ReviewElisavet Parselia0Charalampos Kontoes1Alexia Tsouni2Christos Hadjichristodoulou3Ioannis Kioutsioukis4Gkikas Magiorkinis5Nikolaos I. Stilianakis6Institute for Space Applications and Remote Sensing, National Observatory of Athens, 15236 Athens, GreeceInstitute for Space Applications and Remote Sensing, National Observatory of Athens, 15236 Athens, GreeceInstitute for Space Applications and Remote Sensing, National Observatory of Athens, 15236 Athens, GreeceDepartment of Hygiene and Epidemiology, Faculty of Medicine, University of Thessaly, 41500 Larissa, GreeceDepartment of Physics, University of Patras, 26504 Rio, GreeceDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 11527 Athens, GreeceJoint Research Centre (JRC), European Commission, 21027 Ispra VA, ItalyEarth Observation (EO) data can be leveraged to estimate environmental variables that influence the transmission cycle of the pathogens that lead to mosquito-borne diseases (MBDs). The aim of this scoping review is to examine the state-of-the-art and identify knowledge gaps on the latest methods that used satellite EO data in their epidemiological models focusing on malaria, dengue and West Nile Virus (WNV). In total, 43 scientific papers met the inclusion criteria and were considered in this review. Researchers have examined a wide variety of methodologies ranging from statistical to machine learning algorithms. A number of studies used models and EO data that seemed promising and claimed to be easily replicated in different geographic contexts, enabling the realization of systems on regional and national scales. The need has emerged to leverage furthermore new powerful modeling approaches, like artificial intelligence and ensemble modeling and explore new and enhanced EO sensors towards the analysis of big satellite data, in order to develop accurate epidemiological models and contribute to the reduction of the burden of MBDs.https://www.mdpi.com/2072-4292/11/16/1862mosquito-borne infectious diseasesSatellite Earth Observation dataepidemiological modelingentomological datavector-borne diseasesEarth Observation for healthmalariadengueWest Nile Virusscoping review |
| spellingShingle | Elisavet Parselia Charalampos Kontoes Alexia Tsouni Christos Hadjichristodoulou Ioannis Kioutsioukis Gkikas Magiorkinis Nikolaos I. Stilianakis Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review Remote Sensing mosquito-borne infectious diseases Satellite Earth Observation data epidemiological modeling entomological data vector-borne diseases Earth Observation for health malaria dengue West Nile Virus scoping review |
| title | Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review |
| title_full | Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review |
| title_fullStr | Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review |
| title_full_unstemmed | Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review |
| title_short | Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review |
| title_sort | satellite earth observation data in epidemiological modeling of malaria dengue and west nile virus a scoping review |
| topic | mosquito-borne infectious diseases Satellite Earth Observation data epidemiological modeling entomological data vector-borne diseases Earth Observation for health malaria dengue West Nile Virus scoping review |
| url | https://www.mdpi.com/2072-4292/11/16/1862 |
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