Sentence examples for epidemic changes from inspiring English sources

Depending on how cases are traced during the epidemic, changes in the generation interval could also be monitored.

Therefore, one can suggest that even if genetic analyses provide the basis for such epidemic, changes in our genome cannot be solely responsible [ 5].

We included other regions in the neighbourhood of the cities of Ghent and Antwerp to have some account for changes like seasonal influences on epidemic changes or changes in patients' awareness of the use of out-of-hours services.

While the geographic origins of immigrants and refugees do not immediately explain the epidemic changes in P. vivax malaria seen in the mid-1990s, their nonrandom aggregation in certain provinces allows additional insights.

Strengthening in-service training and pre-service training programs will be particularly important as the HIV/AIDS epidemic changes; as improved prevention, care and treatment strategies are discovered; and as national and global funding priorities evolve.

However, trends in TB incidence and mortality over time will inevitably be confounded by other variables, such as the natural evolution of the HIV epidemic, changes over time in socio-economic factors, and the efficiency of TB control programs.

A1 The South African government, bowing to regional and international clamor for a more vigorous attack against the AIDS epidemic, changed its stand on providing drugs to combat the virus, saying it would develop a plan to offer them to infected people through its public health system by Oct. 1.

Contagiousness, in other words, is an unexpected property in all kinds of things, and we have to remember that, if we are to recognize and diagnose epidemic change".

Ironically, the AIDS epidemic changed all that, because it mobilized and united the gay community when it became a matter of life or death.

However, 254 deaths on Réunion (case-fatality rate 1/1,000) that were attributed directly or indirectly to chikungunya during the epidemic changed this perspective (1, 4 ).

We review efforts of WHO and collaborating agencies to track and fight the TB/HIV co-epidemic, and discuss modeling via mathematical, statistical, and computational approaches as a means to identify disease indicators designed to integrate data from linked diseases in order to characterize how co-epidemics change in time and space.