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Hyperendemic focus of Q fever related to sheep and wind

Article Abstract:

Coxiella burnetii transmission is affected by a number of factors, but it can be speculated that high endemicity in one area recently studied is related to contamination by aerosols because the Mistral wind blows through local steppe areas where 70,000 sheep are raised. The epidemiology of Q fever, a zoonosis caused by Coxiella burnetii, which can be transmitted from animal reservoirs to humans by inhalation of infected aerosols, has been investigated in the Bouches-du-Rhone district of southern France and especially in a given area where incidence seems to be higher. Graphical and statistical relationships were found between sheep densities and incidence of Q fever and the Mistral, a strong local wind that blows from the northwest.

Author: Raoult, Didier, Tissot-Dupont, Herve, Torres, Sylvie, Nezri, Meyer
Publisher: Johns Hopkins University Press
Publication Name: American Journal of Epidemiology
Subject: Health
ISSN: 0002-9262
Year: 1999
France, Disease transmission, Sheep, Winds, Q fever

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Seasonal rainfall variability, the incidence of hemorrhagic fever with renal syndrome, and prediction of the disease in low-lying areas of China

Article Abstract:

Researchers studied Chuigang and Wanggang in China to investigate what causes hemorrhagic fever with renal syndrome (HFRS). They collected data about the incidence of HFRS, amount of precipitation, water level differences of the Huai River, density of Apodemus agrarius, occupational factors, and occurrence of hemorrhagic fever. They discovered the lower the water-level of the river, the higher the incidence of HFRS.

Author: Bi, Peng, Wu, Xike, Zhang, Fangzhen, Parton, Kevin A., Tong, Shilu
Publisher: Johns Hopkins University Press
Publication Name: American Journal of Epidemiology
Subject: Health
ISSN: 0002-9262
Year: 1998
China, Causes of, Rain and rainfall, Rain, Hemorrhagic fever, Hemorrhagic fevers

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Taking account of between-patient variability when modeling decline in Alzheimer's disease

Article Abstract:

Carefully constructed models that describe the pattern of deterioration in patients with Alzheimer's disease are indispensable, especially as the promise of various prognostic indicators emerge. Current statistical methods that describe decline do not adequately take into account between-patient variability, floor/ceiling effects measuring decline, and uncertainty in disease onset.

Author: Joseph, L., Wolfson, D.B., Belisle, P., Brooks, J.O., III, Mortimer, J.A., Tinklenberg, J.R., Tesavage, J.A.
Publisher: Johns Hopkins University Press
Publication Name: American Journal of Epidemiology
Subject: Health
ISSN: 0002-9262
Year: 1999
Measurement, Alzheimer's disease

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Subjects list: Health aspects
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