Standard
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. / Routledge, Isobel; Pascual, Mercedes (Editor); Lai, Shengjie; Battle, Katherine E.; Ghani, Azra C.; Gomez-Rodriguez, Manuel; Gustafson, Kyle B.; Mishra, Swapnil; Unwin, Juliette; Proctor, Joshua L.; Tatem, Andrew J.; Li, Zhongjie; Bhatt, Samir.
In:
PLOS Computational Biology, 2020.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Routledge, I, Pascual, M (ed.), Lai, S, Battle, KE, Ghani, AC, Gomez-Rodriguez, M, Gustafson, KB, Mishra, S, Unwin, J, Proctor, JL, Tatem, AJ, Li, Z
& Bhatt, S 2020, '
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach',
PLOS Computational Biology.
https://doi.org/10.1371/journal.pcbi.1007707APA
Routledge, I., Pascual, M. (Ed.), Lai, S., Battle, K. E., Ghani, A. C., Gomez-Rodriguez, M., Gustafson, K. B., Mishra, S., Unwin, J., Proctor, J. L., Tatem, A. J., Li, Z.
, & Bhatt, S. (2020).
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.
PLOS Computational Biology.
https://doi.org/10.1371/journal.pcbi.1007707Vancouver
Routledge I, Pascual M, (ed.), Lai S, Battle KE, Ghani AC, Gomez-Rodriguez M et al.
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.
PLOS Computational Biology. 2020.
https://doi.org/10.1371/journal.pcbi.1007707Author
Routledge, Isobel ; Pascual, Mercedes (Editor) ; Lai, Shengjie ; Battle, Katherine E. ; Ghani, Azra C. ; Gomez-Rodriguez, Manuel ; Gustafson, Kyle B. ; Mishra, Swapnil ; Unwin, Juliette ; Proctor, Joshua L. ; Tatem, Andrew J. ; Li, Zhongjie ; Bhatt, Samir. / Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. In: PLOS Computational Biology. 2020.
Bibtex
@article{d595fc3021ea45919f393ce2f3bdb1b3,
title = "Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach",
author = "Isobel Routledge and Mercedes Pascual and Shengjie Lai and Battle, {Katherine E.} and Ghani, {Azra C.} and Manuel Gomez-Rodriguez and Gustafson, {Kyle B.} and Swapnil Mishra and Juliette Unwin and Proctor, {Joshua L.} and Tatem, {Andrew J.} and Zhongjie Li and Samir Bhatt",
year = "2020",
doi = "10.1371/journal.pcbi.1007707",
language = "English",
journal = "P L o S Computational Biology (Online)",
issn = "1553-734X",
publisher = "Public Library of Science",
}
RIS
TY - JOUR
T1 - Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach
AU - Routledge, Isobel
AU - Lai, Shengjie
AU - Battle, Katherine E.
AU - Ghani, Azra C.
AU - Gomez-Rodriguez, Manuel
AU - Gustafson, Kyle B.
AU - Mishra, Swapnil
AU - Unwin, Juliette
AU - Proctor, Joshua L.
AU - Tatem, Andrew J.
AU - Li, Zhongjie
AU - Bhatt, Samir
A2 - Pascual, Mercedes
PY - 2020
Y1 - 2020
U2 - 10.1371/journal.pcbi.1007707
DO - 10.1371/journal.pcbi.1007707
M3 - Journal article
JO - P L o S Computational Biology (Online)
JF - P L o S Computational Biology (Online)
SN - 1553-734X
ER -
