Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases
Vector-borne diseases (VBDs) pose a major threat to human and animal health, with more than 80% of the global population being at risk of acquiring at least one major VBD. Being profoundly affected by the ongoing climate change and anthropogenic disturbances, modelling approaches become an essential...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Tropical Medicine and Infectious Disease |
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| Online Access: | https://www.mdpi.com/2414-6366/8/4/187 |
| _version_ | 1797603288536842240 |
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| author | Pablo Fernando Cuervo Patricio Artigas Jacob Lorenzo-Morales María Dolores Bargues Santiago Mas-Coma |
| author_facet | Pablo Fernando Cuervo Patricio Artigas Jacob Lorenzo-Morales María Dolores Bargues Santiago Mas-Coma |
| author_sort | Pablo Fernando Cuervo |
| collection | DOAJ |
| description | Vector-borne diseases (VBDs) pose a major threat to human and animal health, with more than 80% of the global population being at risk of acquiring at least one major VBD. Being profoundly affected by the ongoing climate change and anthropogenic disturbances, modelling approaches become an essential tool to assess and compare multiple scenarios (past, present and future), and further the geographic risk of transmission of VBDs. Ecological niche modelling (ENM) is rapidly becoming the gold-standard method for this task. The purpose of this overview is to provide an insight of the use of ENM to assess the geographic risk of transmission of VBDs. We have summarised some fundamental concepts and common approaches to ENM of VBDS, and then focused with a critical view on a number of crucial issues which are often disregarded when modelling the niches of VBDs. Furthermore, we have briefly presented what we consider the most relevant uses of ENM when dealing with VBDs. Niche modelling of VBDs is far from being simple, and there is still a long way to improve. Therefore, this overview is expected to be a useful benchmark for niche modelling of VBDs in future research. |
| first_indexed | 2024-03-11T04:28:05Z |
| format | Article |
| id | doaj.art-6dafff39a7fd400bb527d2a90e97fd44 |
| institution | Directory Open Access Journal |
| issn | 2414-6366 |
| language | English |
| last_indexed | 2024-03-11T04:28:05Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Tropical Medicine and Infectious Disease |
| spelling | doaj.art-6dafff39a7fd400bb527d2a90e97fd442023-11-17T21:39:19ZengMDPI AGTropical Medicine and Infectious Disease2414-63662023-03-018418710.3390/tropicalmed8040187Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne DiseasesPablo Fernando Cuervo0Patricio Artigas1Jacob Lorenzo-Morales2María Dolores Bargues3Santiago Mas-Coma4Departamento de Parasitologia, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andres Estelles s/n, 46100 Burjassot, Valencia, SpainDepartamento de Parasitologia, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andres Estelles s/n, 46100 Burjassot, Valencia, SpainCIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos IIII, C/Monforte de Lemos 3-5. Pabellón 11, Planta 0, 28029 Madrid, Madrid, SpainDepartamento de Parasitologia, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andres Estelles s/n, 46100 Burjassot, Valencia, SpainDepartamento de Parasitologia, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andres Estelles s/n, 46100 Burjassot, Valencia, SpainVector-borne diseases (VBDs) pose a major threat to human and animal health, with more than 80% of the global population being at risk of acquiring at least one major VBD. Being profoundly affected by the ongoing climate change and anthropogenic disturbances, modelling approaches become an essential tool to assess and compare multiple scenarios (past, present and future), and further the geographic risk of transmission of VBDs. Ecological niche modelling (ENM) is rapidly becoming the gold-standard method for this task. The purpose of this overview is to provide an insight of the use of ENM to assess the geographic risk of transmission of VBDs. We have summarised some fundamental concepts and common approaches to ENM of VBDS, and then focused with a critical view on a number of crucial issues which are often disregarded when modelling the niches of VBDs. Furthermore, we have briefly presented what we consider the most relevant uses of ENM when dealing with VBDs. Niche modelling of VBDs is far from being simple, and there is still a long way to improve. Therefore, this overview is expected to be a useful benchmark for niche modelling of VBDs in future research.https://www.mdpi.com/2414-6366/8/4/187ecological niche modelsspecies distribution modelsneglected tropical diseasesmosquito-borne diseasestick-borne diseasesclimate change |
| spellingShingle | Pablo Fernando Cuervo Patricio Artigas Jacob Lorenzo-Morales María Dolores Bargues Santiago Mas-Coma Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases Tropical Medicine and Infectious Disease ecological niche models species distribution models neglected tropical diseases mosquito-borne diseases tick-borne diseases climate change |
| title | Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases |
| title_full | Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases |
| title_fullStr | Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases |
| title_full_unstemmed | Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases |
| title_short | Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases |
| title_sort | ecological niche modelling approaches challenges and applications in vector borne diseases |
| topic | ecological niche models species distribution models neglected tropical diseases mosquito-borne diseases tick-borne diseases climate change |
| url | https://www.mdpi.com/2414-6366/8/4/187 |
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