
doi: 10.2307/3109779
pmid: 9629653
It is pointed out that estimates of disease transmission parameters based on the final size of an epidemic are unsatisfactory when all susceptibles are infected and that this is an event with a substantial probability for communities of practical interest. We propose a method for estimating the transmission rate for such highly infectious diseases under the assumptions that the removal process of the disease is fully observed and that the mean duration of the infectious period is known. The method uses smoothed differentiation of the removal process. A simulation study shows that the method performs satisfactorily.
Stochastic Processes, transmission rate, Models, Statistical, Time Factors, Epidemiology, smoothed differentiation, reproduction number, data reconstruction, epidemic data, Communicable Diseases, Applications of statistics to biology and medical sciences; meta analysis, Data Interpretation, Statistical, Humans, Epidemiologic Methods, Measles
Stochastic Processes, transmission rate, Models, Statistical, Time Factors, Epidemiology, smoothed differentiation, reproduction number, data reconstruction, epidemic data, Communicable Diseases, Applications of statistics to biology and medical sciences; meta analysis, Data Interpretation, Statistical, Humans, Epidemiologic Methods, Measles
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
