Exact(4)
Separate tests were conducted by baseline and by outbreak distribution, duration, and size.
Third, there were some qualitative differences in detection according to outbreak distribution.
Stratified by baseline or by outbreak distribution, duration, or size, the generalized linear model was more sensitive than the other algorithms and detected 54% (95% CI = 52%56%%) of the simulated epidemics when run at an alert rate of 0.01.
Within each outbreak distribution, the GLM had better detection compared with the other algorithms (p < 0.0001 comparing GLM to C1, C2, or C3; p < 0.01 comparing the GLM to EWMA4 and EWMA9), with sensitivities as high as 56.5% for both the airborne bioweapon and the point-source distributions.
Similar(56)
Of the algorithms evaluated, only the performance of C1 varied across outbreak distributions (p = 0.002) (Table 2).
This was surprising, as we had expected to observe more heterogeneity in the relative performance of the algorithms, particularly across outbreak distributions.
We have demonstrated that accounting for spatio‐temporal correlation improves assessing the impact of outbreak distributions, produces accurate maps of occurrence, and allows for good prediction performance.
Under these assumptions, we developed priority lists of mammal clades that coincide distributionally with filovirus outbreak distributions and compared these lists with those mammal taxa that have been tested for filovirus infection in previous epidemiologic studies.
The data reported to SIMAN allowed the veterinary services to have the full picture of outbreaks distribution and to plan further investigations [ 34].
To test whether the provinces registered an outbreak, the distribution of measles cases was compared to an endemic level established based on cases reported in previous years.
In the 2001 U.S. outbreak, the distribution of incubation periods was more limited, 4 6 days, although later-onset cases may have been averted by antibiotic prophylaxis (25 ).
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