Sentence examples for outbreak rates from inspiring English sources

Survival analysis Cox regression models using an outbreak of gastroenteritis as the endpoint were fitted to identify institutional and operational attributes related to increased outbreak rates at the level of the care unit.

Before the outbreak, rates of GIH events in the elderly were similar in south, central, and north areas (Table 2).

Foodborne disease outbreak rates were highest in northern states, and most waterborne disease outbreaks occurred in states bordering the Mississippi River.

During the outbreak, rates of GIH events in elderly persons increased in all three water supply areas, but the increase was much stronger in the southern and central areas than in the northern area.

From 1995 to 2000, 1,643 outbreaks of viral gastroenteritis were investigated by the Public Health Laboratory Service in England and Wales, but the outbreak rates (number of outbreaks/population) were highest in Sweden for every surveyed year.

After the outbreak, rates of laboratory-confirmed cryptosporidiosis from 1993 to 1995 were 31.2 44.2 per 100,000 in Allerdale and Copeland compared to 19.8 to 23.9 per 100,000 in the neighboring local government districts of Carlisle and Eden.

The median outbreak rate in northern states was >2× the rate in southern states (0.015 vs. 0.006/100,000 population, p = 0.005), which was also true for foodborne disease outbreaks (0.007 vs. 0.002, p = 0.02).

During rubella outbreaks, rates of CRS per 1000 live births were at least 1.7 in Jamaica, 0.7 in Oman, 2.2 in Panama, 1.5 in Singapore, 0.9 in Sri Lanka, and 0.6 in Trinidad and Tobago.

Despite the importance of these epidemics, several aspects of the evolutionary and epidemiological dynamics, including viral nucleotide variations within and between different outbreaks, rates of change in immune-related structural regions vs. non-structural regions, and forces driving the evolution of EV71, are still not clear.

SNR diversity is determined by sporadic and outbreak incidence rates, in vivo mutation rates, relative selection within hosts and micro- environments, level of bacteremia, and spore survival.

Surveillance activities during 2006 2008 showed that West Java had a 4.7% outbreak detection rate compared with rates in Banten (4%) and Jakarta (0.2%) (18 ).