In:
eLife, eLife Sciences Publications, Ltd, Vol. 8 ( 2019-10-22)
Kurzfassung:
Human movement into insect vector and wildlife reservoir habitats determines zoonotic disease risks; however, few data are available to quantify the impact of land use on pathogen transmission. Here, we utilise GPS tracking devices and novel applications of ecological methods to develop fine-scale models of human space use relative to land cover to assess exposure to the zoonotic malaria Plasmodium knowlesi in Malaysian Borneo. Combining data with spatially explicit models of mosquito biting rates, we demonstrate the role of individual heterogeneities in local space use in disease exposure. At a community level, our data indicate that areas close to both secondary forest and houses have the highest probability of human P. knowlesi exposure, providing quantitative evidence for the importance of ecotones. Despite higher biting rates in forests, incorporating human movement and space use into exposure estimates illustrates the importance of intensified interactions between pathogens, insect vectors and people around habitat edges.
Materialart:
Online-Ressource
ISSN:
2050-084X
DOI:
10.7554/eLife.47602.001
DOI:
10.7554/eLife.47602.002
DOI:
10.7554/eLife.47602.003
DOI:
10.7554/eLife.47602.004
DOI:
10.7554/eLife.47602.005
DOI:
10.7554/eLife.47602.006
DOI:
10.7554/eLife.47602.007
DOI:
10.7554/eLife.47602.008
DOI:
10.7554/eLife.47602.009
DOI:
10.7554/eLife.47602.010
DOI:
10.7554/eLife.47602.011
DOI:
10.7554/eLife.47602.012
DOI:
10.7554/eLife.47602.013
DOI:
10.7554/eLife.47602.014
DOI:
10.7554/eLife.47602.015
DOI:
10.7554/eLife.47602.016
DOI:
10.7554/eLife.47602.026
DOI:
10.7554/eLife.47602.027
Sprache:
Englisch
Verlag:
eLife Sciences Publications, Ltd
Publikationsdatum:
2019
ZDB Id:
2687154-3