ABSTRACT
Environmental variables in a malaria geographic information system [GIS] database were analysed to discriminate between governorates at high and low risk of malaria. Only Fayoum governorate was categorized as a high risk area for malaria during the last 2 decades. Discriminant models correctly classified 96.3% of the risk categories and indicated that the most important predictor of risk is hydrogeology. Further GIS spatial analysis indicated that the high malaria risk in Fayoum is associated with a unique environmental envelope of biotic [presence of both efficient malaria vectors] and abiotic [hydrogeology and soil] variables. Recommendations for surveillance and control are discussed
Subject(s)
Animals , Humans , Agriculture , Anopheles/parasitology , Climate , Demography , Discriminant Analysis , Epidemiologic Methods , Fresh Water , Insect Vectors/parasitology , Needs Assessment , Population Surveillance , Socioeconomic FactorsABSTRACT
A cross-sectional randomized study was carried out in which breast examination was done to clients attending the contraceptive clinic taken randomly regardless type of contraceptive they use. The results showed that out of 990 clients, 774 were using any type of contraceptive. The users of hormonal contraceptive were 67% of them. A nipple discharge was found in 47 cases out of the total clients. The non-milk discharge was present in 31 cases. The cytology for either cases or milk discharge showed no abnormal cells [AU benign]