Sökning: id:"swepub:oai:DiVA.org:kth-322204" > The Multi-Satellite...
Fältnamn | Indikatorer | Metadata |
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000 | 04099naa a2200469 4500 | |
001 | oai:DiVA.org:kth-322204 | |
003 | SwePub | |
008 | 221206s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3222042 URI |
024 | 7 | a https://doi.org/10.3390/rs142153812 DOI |
040 | a (SwePub)kth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Morlighem, Camilleu Univ Namur, Dept Geog, B-5000 Namur, Belgium.;Univ Namur, ILEE, B-5000 Namur, Belgium.4 aut |
245 | 1 0 | a The Multi-Satellite Environmental and Socioeconomic Predictors of Vector-Borne Diseases in African Cities :b Malaria as an Example |
264 | c 2022-10-27 | |
264 | 1 | b MDPI AG,c 2022 |
338 | a print2 rdacarrier | |
500 | a QC 20221206 | |
520 | a Remote sensing has been used for decades to produce vector-borne disease risk maps aiming at better targeting control interventions. However, the coarse and climatic-driven nature of these maps largely hampered their use in the fight against malaria in highly heterogeneous African cities. Remote sensing now offers a large panel of data with the potential to greatly improve and refine malaria risk maps at the intra-urban scale. This research aims at testing the ability of different geospatial datasets exclusively derived from satellite sensors to predict malaria risk in two sub-Saharan African cities: Kampala (Uganda) and Dar es Salaam (Tanzania). Using random forest models, we predicted intra-urban malaria risk based on environmental and socioeconomic predictors using climatic, land cover and land use variables among others. The combination of these factors derived from different remote sensors showed the highest predictive power, particularly models including climatic, land cover and land use predictors. However, the predictive power remained quite low, which is suspected to be due to urban malaria complexity and malaria data limitations. While huge improvements have been made over the last decades in terms of remote sensing data acquisition and processing, the quantity and quality of epidemiological data are not yet sufficient to take full advantage of these improvements. | |
650 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskapx Naturgeografi0 (SwePub)105072 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Physical Geography0 (SwePub)105072 hsv//eng |
653 | a vector-borne diseases | |
653 | a malaria | |
653 | a African cities | |
653 | a random forest | |
653 | a multi-satellite | |
700 | 1 | a Chaiban, Celiau Univ Namur, Dept Geog, B-5000 Namur, Belgium.;Univ Namur, ILEE, B-5000 Namur, Belgium.4 aut |
700 | 1 | a Georganos, Stefanosu KTH,Geoinformatik,Univ Libre Bruxelles, Dept Geosci Environm & Soc, B-1050 Brussels, Belgium.4 aut0 (Swepub:kth)u1qeaces |
700 | 1 | a Brousse, Oscaru Katholieke Univ Leuven, Dept Earth & Environm Sci, B-3001 Leuven, Belgium.;UCL, Inst Environm Design & Engn, London W H 0NN, England.4 aut |
700 | 1 | a Van de Walle, Jonasu Katholieke Univ Leuven, Dept Earth & Environm Sci, B-3001 Leuven, Belgium.4 aut |
700 | 1 | a van Lipzig, Nicole P. M.u Katholieke Univ Leuven, Dept Earth & Environm Sci, B-3001 Leuven, Belgium.4 aut |
700 | 1 | a Wolff, Eleonoreu Univ Libre Bruxelles, Dept Geosci Environm & Soc, B-1050 Brussels, Belgium.4 aut |
700 | 1 | a Dujardin, Sebastienu Univ Namur, Dept Geog, B-5000 Namur, Belgium.;Univ Namur, ILEE, B-5000 Namur, Belgium.4 aut |
700 | 1 | a Linard, Catherineu Univ Namur, Dept Geog, B-5000 Namur, Belgium.;Univ Namur, ILEE, B-5000 Namur, Belgium.;Univ Namur, NARILIS, B-5000 Namur, Belgium.4 aut |
710 | 2 | a Univ Namur, Dept Geog, B-5000 Namur, Belgium.;Univ Namur, ILEE, B-5000 Namur, Belgium.b Geoinformatik4 org |
773 | 0 | t Remote Sensingd : MDPI AGg 14:21q 14:21x 2072-4292 |
856 | 4 | u https://doi.org/10.3390/rs14215381y Fulltext |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322204 |
856 | 4 8 | u https://doi.org/10.3390/rs14215381 |
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