The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Climate change influences on global distributions of dengue and chikungunya virus vectors
Open accessAbstract
Numerous recent studies have illuminated global distributions of human cases of dengue and other mosquito-transmitted diseases, yet the potential distributions of key vector species have not been incorporated integrally into those mapping efforts. Projections onto future conditions to illuminate potential distributional shifts in coming decades are similarly lacking, at least outside Europe. This study examined the global potential distributions of Aedes aegypti and Aedes albopictus in relation to climatic variation worldwide to develop ecological niche models that, in turn, allowed anticipation of possible changes in distributional patterns into the future. Results indicated complex global rearrangements of potential distributional areas, which—given the impressive dispersal abilities of these two species—are likely to translate into actual distributional shifts. This exercise also signalled a crucial priority: digitization and sharing of existing distributional data so that models of this sort can be developed more rigorously, as present availability of such data is fragmentary and woefully incomplete.
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Cites
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
Maximum entropy modeling of species geographic distributions
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.03.026 · Cited by 15,396
The global distribution and burden of dengue
Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., Drake, J. M., Brownstein, J. S., Hoen, A. G., Sankoh, O., et al. (2013) · Nature · doi:10.1038/nature12060 · Cited by 10,037
AUC: A misleading measure of the performance of predictive distribution models
Lobo, J. M., Jiménez‐Valverde, A., & Real, R. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00358.x · Cited by 3,499
Phillips, S. J., Dudík, M., Elith, J., Graham, C. H., Lehmann, A., Leathwick, J., & Ferrier, S. (2009) · Ecological Applications · doi:10.1890/07-2153.1 · Cited by 2,996
Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus
Brady, O. J., Gething, P. W., Bhatt, S., Messina, J. P., Brownstein, J. S., Hoen, A. G., Moyes, C. L., Farlow, A. W., Scott, T. W., & Hay, S. I. (2012) · PLoS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0001760 · Cited by 1,864
Ecological Niches and Geographic Distributions (MPB-49)
Peterson, A. T., Soberón, J., Pearson, R. G., Anderson, R. P., Martínez-Meyer, E., Nakamura, M., & Araújo, M. B. (2011) · Princeton University Press eBooks · doi:10.23943/princeton/9780691136868.001.0001 · Cited by 1,828
Self-citationRethinking receiver operating characteristic analysis applications in ecological niche modeling
Peterson, A. T., Papeş, M., & Soberón, J. (2008) · Ecological Modelling · doi:10.1016/j.ecolmodel.2007.11.008 · Cited by 1,526
Self-citationEcological niches and geographic distributions
(2012) · Choice Reviews Online · doi:10.5860/choice.49-6266 · Cited by 1,343
Spread of The Tiger: Global Risk of Invasion by The Mosquito Aedes albopictus
Benedict, M. Q., Levine, R. S., Hawley, W. A., & Lounibos, L. P. (2007) · Vector-Borne and Zoonotic Diseases · doi:10.1089/vbz.2006.0562 · Cited by 1,027
Cited by
Global expansion and redistribution of Aedes-borne virus transmission risk with climate change
Ryan, S. J., Carlson, C. J., Mordecai, E. A., & Johnson, L. R. (2019) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0007213 · Cited by 1,114
The effect of global change on mosquito-borne disease
Franklinos, L. H. V., Jones, K. E., Redding, D. W., & Abubakar, I. (2019) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30161-6 · Cited by 641
Ebi, K. L., & Nealon, J. (2016) · Environmental Research · doi:10.1016/j.envres.2016.07.026 · Cited by 548
Zika virus: history of a newly emerging arbovirus
Wikan, N., & Smith, D. R. (2016) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(16)30010-x · Cited by 429
Parham, P. E., Waldock, J., Christophides, G. K., Hemming, D., Agusto, F., Evans, K. J., Fefferman, N., Gaff, H., Gumel, A., LaDeau, S., et al. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0551 · Cited by 337
Metadata
- Authors
- Campbell, L. P., Luther, C., Moo-Llanes, D., Ramsey, J. M., Danis-Lozano, R., & Peterson, A. T.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2015-04-05
- Volume
- 370
- Issue
- 1665
- Pages
- 20140135
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- OpenAlex
- W2129254023
- Cited by
- 411
- References
- 45
- FWCI
- 37.20
- Type
- journal article
- Language
- en
- Open access
- green
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- Campbell, L. P., Luther, C., Moo-Llanes, D., Ramsey, J. M., Danis-Lozano, R., & Peterson, A. T. (2015). Climate change influences on global distributions of dengue and chikungunya virus vectors. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2014.0135
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