Analysis of grouped duration data

Author(s):  
Nicholas M. Kiefer
Keyword(s):  
2008 ◽  
Vol 148 (3) ◽  
pp. 466-480 ◽  
Author(s):  
D.G. Miller ◽  
M. Rivington ◽  
K.B. Matthews ◽  
K. Buchan ◽  
G. Bellocchi

2013 ◽  
Vol 141 (8) ◽  
pp. 1572-1584 ◽  
Author(s):  
M. O. MILBRATH ◽  
I. H. SPICKNALL ◽  
J. L. ZELNER ◽  
C. L. MOE ◽  
J. N. S. EISENBERG

SUMMARYNorovirus is a common cause of gastroenteritis in all ages. Typical infections cause viral shedding periods of days to weeks, but some individuals can shed for months or years. Most norovirus risk models do not include these long-shedding individuals, and may therefore underestimate risk. We reviewed the literature for norovirus-shedding duration data and stratified these data into two distributions: regular shedding (mean 14–16 days) and long shedding (mean 105–136 days). These distributions were used to inform a norovirus transmission model that predicts the impact of long shedders. Our transmission model predicts that this subpopulation increases the outbreak potential (measured by the reproductive number) by 50–80%, the probability of an outbreak by 33%, the severity of transmission (measured by the attack rate) by 20%, and transmission duration by 100%. Characterizing and understanding shedding duration heterogeneity can provide insights into community transmission that can be useful in mitigating norovirus risk.


1985 ◽  
Vol 28 (1) ◽  
pp. 129-132 ◽  
Author(s):  
K. B. Rojiani ◽  
K. A. Tarbell ◽  
V. O. Shanholtz ◽  
F. E. Woeste

Paleobiology ◽  
1987 ◽  
Vol 13 (2) ◽  
pp. 169-176 ◽  
Author(s):  
Stephen J. Culver ◽  
Martin A. Buzas ◽  
Laurel S. Collins

Species duration data for living benthic foraminifera derived from an extensive literature search have been compiled and analyzed to investigate rates and patterns of species origination. The same data subjected to taxonomic standardization through examination of many specimens lodged in museum collections indicate strikingly different, and more realistic, rates and patterns.Evolutionary generalizations based on data generated from the literature only are often unreliable and may be directly in opposition to reality. Extensive attempts at taxonomic standardization should be the norm in paleobiological investigations.


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