A spatial hierarchical model for integrating and bias-correcting data from passive and active disease surveillance systems is a research paper published in Spatial and Spatio-temporal Epidemiology (2020). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: R01AI125842
National Institutes of Health
Grant: 1R01TW010286
University of California
Grant: MRP-17-446315
National Science Foundation
Grant: 1646708
National Science Foundation
Grant: 1360330
Analytical methods for estimating the joint climatological-social drivers of water quality and supply in contrasting tropical zones: Ecuador and China
FIC NIH HHS
Grant: R01 TW010286
National Institutes of Health
Grant: 1R01AI125842-01A1
Spatio-temporal data integration methods for infectious disease surveillance
National Institutes of Health
Grant: 5R01TW010286-04
Effects of agricultural expansion and intensification on infections
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals