JM Morton, JN Dups, ND Anthony… - Australian Veterinary …, 2011 - Wiley Online Library During epidemics of contagious disease, the risk of individuals becoming infected can vary as the disease progresses. Monitoring this risk during actual epidemics could provide information about the dynamics of transmission. Hazard functions allow ongoing assessment of the ... Related articles
SY Won, LS Munoz-Price, K Lolans… - Clinical Infectious …, 2011 - cid.oxfordjournals.org ... The epidemiccurve revealed 3 phases: period 1 (January–April), during which sporadic cases of KPC were observed in the region; period 2 (May–August), during which an increase in the number of cases was seen, predominately at LTACH-A; and period 3 (September ...
[PDF] from sfcityclinic.orgDC Gesink, AB Sullivan, WC Miller… - American Journal of …, 2011 - Oxford Univ Press ... Pearson's correlation coefficient was used to evaluate synchronicity of the epidemiccurve trends (null hypothesis: no correlation between epidemic curves). By synchronicity, we mean whether or not the epidemic curves moved in the same direction at the same time. ... Related articles - All 5 versions
[HTML] from biomedical-engineering-online.comH Nishiura - Biomedical engineering online, 2011 - biomedical-engineering-online.com ... By imposing a branching process approximation and by assuming the linear growth of cases within each reporting interval, the epidemiccurve is predicted using only two parameters. ... thumbnail Figure 2. Approximation of an epidemiccurve. ... Cited by 3 - Related articles - Cached - All 12 versions
SW Laffan, Z Wang… - Preventive Veterinary Medicine, 2011 - Elsevier ... Fig. 4. Epidemiccurve boxplots of groups infected across all model repetitions. View Within Article. ... Fig. 5. Epidemiccurve boxplots of total number of individuals in each state across all model repetitions and initiation locations. View Within Article. ...