Sentence examples for characteristics of epidemics from inspiring English sources

The characteristics of epidemics with R0 values of 1.4, 1.5 and 1.6 are listed in Table 2.

This discrepancy emphasizes the need to further assess the characteristics of epidemics and surveillance systems that favor detection by using syndromic methods.

Given the increasing popularity of online social networks, it is of growing interest to investigate the characteristics of epidemic spreading, in order to accelerate or mitigate it.

The variations in epidemic seasons from data collected at PCMC during the seven years of the study can be partially explained by the variation in exponential growth, especially characteristics of epidemic size, peak day, and length of the epidemic.

If it is thought that the aggregate characteristics of epidemic incidence are being driven by spatial aspects of transmission (such as waves), it is difficult to investigate data from these systems with models that do not represent space in some way.

The most important model that can be used to interpret the disease characteristic of epidemics is the susceptible-infected-recovered (SIR) model that was developed by Kermack and McKendrick [2].

Finally, the WCR algorithm introduced in this paper is based upon a characteristic of epidemics, their exponential growth in the early stages before control measures and depletion of susceptibles have occurred.

We explored the relationship between exponential growth of RSV epidemics and the seasonal epidemic characteristics of total epidemic size, days to peak, and epidemic length to assess predictions made early in the epidemic season.

Besides the basic reproduction number, final epidemic size and the initial growth rate of an epidemic, another practically important characteristic of epidemic outbreaks is the peak prevalence defined as the maximum number or proportion of infected individuals that can be achieved during an outbreak.

Characteristics of dengue epidemics in Taiwan.

However, we believe that the type of rough fitting proposed here is useful as a complement, with the advantage that it depends only on robust characteristics of influenza epidemics and is thus less sensitive to the uncertainties involved in the surveillance process.