3 resultados para parasitic gastroenteritis

em Aston University Research Archive


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Using a combination of techniques including relative deprivation index developed by the Government, school performance, household survey and drawing of lots, a sample frame constituting of poverty areas of Mauritius was constructed and four test areas identified. Relevant haematological, parasitological and biochemical parameters of all school-going children living in the four test areas were determined so as to study the possibility of correlation between parasitic infections, plasma ferritin, haemoglobin concentration, white blood cells count, packed cells volume and blood group. It was found that there is a negative correlation between the number of parasites and haemoglobin concentration, packed cells volume of blood and degree of infestation, number of parasites and ferritin and number of parasites and age of subject. It has also been found that, children with blood group 'A' and blood group '0' tend to harbour the most parasites. As regards to storage iron depletion, this is significant only with hookworm infestation. Additionally it has been noted that hookworm infestation is directly related to age contrary to other parasitic infestations.

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We present a data based statistical study on the effects of seasonal variations in the growth rates of the gastro-intestinal (GI) parasitic infection in livestock. The alluded growth rate is estimated through the variation in the number of eggs per gram (EPG) of faeces in animals. In accordance with earlier studies, our analysis too shows that rainfall is the dominant variable in determining EPG infection rates compared to other macro-parameters like temperature and humidity. Our statistical analysis clearly indicates an oscillatory dependence of EPG levels on rainfall fluctuations. Monsoon recorded the highest infection with a comparative increase of at least 2.5 times compared to the next most infected period (summer). A least square fit of the EPG versus rainfall data indicates an approach towards a super diffusive (i. e. root mean square displacement growing faster than the square root of the elapsed time as obtained for simple diffusion) infection growth pattern regime for low rainfall regimes (technically defined as zeroth level dependence) that gets remarkably augmented for large rainfall zones. Our analysis further indicates that for low fluctuations in temperature (true on the bulk data), EPG level saturates beyond a critical value of the rainfall, a threshold that is expected to indicate the onset of the nonlinear regime. The probability density functions (PDFs) of the EPG data show oscillatory behavior in the large rainfall regime (greater than 500 mm), the frequency of oscillation, once again, being determined by the ambient wetness (rainfall, and humidity). Data recorded over three pilot projects spanning three measures of rainfall and humidity bear testimony to the universality of this statistical argument. © 2013 Chattopadhyay and Bandyopadhyay.