Measuring Spatial Dependence for Infectious Disease Epidemiology.
about
Synchrony of Dengue Incidence in Ho Chi Minh City and BangkokSpatiotemporal Frameworks for Infectious Disease Diffusion and EpidemiologyHow social structures, space, and behaviors shape the spread of infectious diseases using chikungunya as a case study.Dynamics of Zika virus outbreaks: an overview of mathematical modeling approaches.The potential impact of case-area targeted interventions in response to cholera outbreaks: A modeling study.Micro-hotspots of Risk in Urban Cholera Epidemics.Reconstruction of antibody dynamics and infection histories to evaluate dengue risk
P2860
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P2860
Measuring Spatial Dependence for Infectious Disease Epidemiology.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@ast
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@en
type
label
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@ast
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@en
prefLabel
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@ast
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@en
P2860
P1433
P1476
Measuring Spatial Dependence for Infectious Disease Epidemiology.
@en
P2093
Justin Lessler
M Kate Grabowski
P2860
P304
P356
10.1371/JOURNAL.PONE.0155249
P407
P577
2016-05-19T00:00:00Z