To study the correlation between carrier status of nasal Staphylococcus aureus in patients on haemodialysis with hepatitis C, hepatitis B and their sociodemographic features

AIM: To study the correlation of nasal Staphylococcus aureus carrier status in patients on haemodialysis, infected by hepatitis Cvirus (HCV), hepatitis B virus (HBV), and their sociodemographic features. SUBJECTS AND METHODS: A survey, including patients\u27 sociodemographic features, was applied to patients by physicians in face to face interviews. Medical records regarding their serologic data were recorded from haemodialysis centres. Nasal swab samples of 2 cm depth from both nostrils of patients were obtained for nasal culture. Samples were inoculated in 5% sheep blood agar and incubated in an incubator at a temperature of 37 degrees C for 24 hours. The results were studied by the same microbiologist. RESULTS: A total of 185 patients were enrolled in the study. According to culture results, 14.1% of patients (n = 26) had methicillin sensitive Staphylococcus aureus (MSSA) and 1.1% (n = 2) had methicillin resistant Staphylococcus aureus (MRSA).Status of viral hepatitis was 3.8% (n = 8), 10.8% (n = 20) for HBV and HCV respectively. Forty per cent (n = 8) of patients with HBV (+) had MSSA carrier status. Statistically significant positive correlation between MSSA and HCV carrier was detected (r = 0.325, p = 0.001) but not between HBV carrier and MSSA (p = 0.255). CONCLUSION: In the present study, significant positivity was detected between MSSA carrier status and HCV in patients onhaemodialysis and who have lived together with \u3c or = 2 family members at home. Particularly, statistically significant correlationbetween HCV(+) and MSSA carrier was observed

How much should we trust micro-data? A comparison of the socio-demographic profile of Malawian households using census, LSMS and DHS data

This paper assesses the empirical representativeness of micro-data by comparing the Malawi 2008 census to two representative household surveys – ‘the Living Standard Measurement Survey’ and the ‘Demographic and Health Survey’ – both implemented in Malawi in 2010. The comparison of descriptive statistics – demographics, asset ownership, and living conditions – shows considerable similarities despite statistically identifiable differences due to the large samples. Differences mainly occur when wording, scope, and pre-defined answer categories diverge across surveys. Multivariate analyses are considerably less representative due to loss of observations with composite indicators yielding higher comparability as individual ones. Household-level fixed-effect specifications produce more similar results, yet are not suited for policy conclusions. Comparability of micro-data should not be assumed but checked on a case-by-case basis. Still, micro-data constitute reliable grounds for factually informed conclusions if design and context are appropriately considered