Displaying 1 - 5 of 5
Operations
Lai, Ying-Si; Zhou, Xiao-Nong; Pan, Zhi-Heng; Utzinger, Jürg; Vounatsou, Penelope. 2017. Risk mapping of clonorchiasis in the People’s Republic of China: A systematic review and Bayesian geostatistical analysis. [PLOS Neglected Tropical Diseases] . 11(3): e0005239 DOI: https://doi.org/10.1371/journal.pntd.0005239
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Nüchel, Jonas; Svenning, Jens-Christian. 2017. Recent tree cover increases in eastern China linked to low, declining human pressure, steep topography, and climatic conditions favoring tree growth. [PLOS ONE] . 12(6): e0177552 DOI: https://doi.org/10.1371/journal.pone.0177552
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Chammartin, Frédérique; Scholte, Ronaldo G. C.; Malone, John B.; Bavia, Maria E.; Nieto, Prixia; Utzinger, Jürg; Vounatsou, Penelope. 2013. Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia. [Parasites & Vectors] . 6(1): 152 DOI: https://doi.org/10.1186/1756-3305-6-152
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Sandel, Brody; Svenning, Jens-Christian. 2013. Human impacts drive a global topographic signature in tree cover. [Nature Communications] . 4(2474) DOI: https://doi.org/10.1038/ncomms3474
Uses Remote Sensing: yes
SEDAC Data Collection(s):
esi
(Journal Article)
export
Scholte, Ronaldo G. C.; Schur, Nadine; Bavia, Maria E.; Carvalho, Edgar M.; Chammartin, Frédérique; Utzinger, Jürg; Vounatsou, Penelope. 2013. Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models. [Geospatial Health] . 8(1): 97-110 DOI: https://doi.org/10.4081/gh.2013.58
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
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