2 resultados para Demographic surveillance
em DigitalCommons@University of Nebraska - Lincoln
Resumo:
Bovine tuberculosis (TB) is an infectious and communicable granulomatous disease caused by the acidfast bacilli bacteria of Mycobacterium bovis (M. bovis). It is commonly a chronic, debilitating disease, but occasionally may assume an acute, rapidly progressive course. M. bovisis a widespread zoonosis that is global in magnitude and affects nearly all species of vertebrates (cattle, sheep, goats, pigs, bison, buffalo, and camelids.) Disease is spread by direct contact, inhalation of infected droplets expelled from infected lungs, and ingestion of contaminated feed or milk. In most countries, TB is a notifiable disease. Overall, TB has an important world-wide impact on animal industries and human health. Control measures are based on prevention and eradication. Surveillance is a key element for management of preventions and control programs. Surveillance for TB serves the purpose of enabling Veterinary Services to obtain an accurate picture of the scope of the disease in the US livestock populations; in the event of a disease outbreak, the course TB follows in livestock and wildlife populations for a given area over time; and permits timely intervention if the trend observed deviates from what is expected.
Resumo:
A demographic model is developed based on interbirth intervals and is applied to estimate the population growth rate of humpback whales (Megaptera novaeangliae) in the Gulf of Maine. Fecundity rates in this model are based on the probabilities of giving birth at time t after a previous birth and on the probabilities of giving birth first at age x. Maximum likelihood methods are used to estimate these probabilities using sighting data collected for individually identified whales. Female survival rates are estimated from these same sighting data using a modified Jolly–Seber method. The youngest age at first parturition is 5 yr, the estimated mean birth interval is 2.38 yr (SE = 0.10 yr), the estimated noncalf survival rate is 0.960 (SE = 0.008), and the estimated calf survival rate is 0.875 (SE = 0.047). The population growth rate (l) is estimated to be 1.065; its standard error is estimated as 0.012 using a Monte Carlo approach, which simulated sampling from a hypothetical population of whales. The simulation is also used to investigate the bias in estimating birth intervals by previous methods. The approach developed here is applicable to studies of other populations for which individual interbirth intervals can be measured.