Analysis of secondary data

epidemiological analysis

I have analysed aggregated published statistics, as well as individual records from complex data sets originating from national household surveys and registered death certificates. If you have collected data or you have secondary data sets to analyse, I can help you out.

Examples include the following:

(a) An analysis on the occupational mortality in Nordic countries. This was based on a re-analysis of the occupational mortality statistics that was published in England, Wales, Scotland, Norway and Finland. The value added result was the reorganization of the statistics by comparable occupational groups according to the occupation codes used across these countries. The main finding was that higher Standard Mortality Ratios for specific causes of deaths affected the same occupational groups across countries.

(b) An analysis of the mortality in KwaZulu-Natal, South Africa. A burden of disease analysis was carried out in this South African province for the year 2001. The analysis was based on the individual records of i) the registered death certificates in the overall population, ii) the hospital recorded deaths, and iii) the recorded deaths from one demographic surveillance site. The Burden of Disease methodology was used to reassign the underlying cause of death. The value added results included the identification of HIV/AIDS as the first cause of death and the creation of awareness that its burden was under-estimated because many of these deaths were recorded under tuberculosis, diarrhoea, respiratory infections and meningitis. Chronic degenerative diseases accounted for more than one third of the mortality, with cardiovascular diseases being the major contributor. Male mortality was more characterized by ischaemic heart diseases, intentional and unintentional injuries, chronic respiratory diseases, lung cancer and cirrhosis. Females were more frequently dying from stroke, hypertension and diabetes.

(c) An analysis of health and nutrition status in Russia. This analysis was based on the Russian Longitudinal Monitoring Survey (RLMS) that was carried out by the World Bank in 1992-93. The analysis confirmed the deterioration in health and nutritional status following the collapse of the Soviet Union. The increase in alcohol consumption, smoking, high fat diet, unsafe water supplies and poor sanitation were major risk factors underlying the deterioration in health and nutrition status. The poorest group belonging to the low expenditure percentiles had the worst  health and nutritional status, with a worrying increase in stunting among children under the age of five.