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To examine the prevalence of Coronary heart disease (CHD) and associated risk factors based on coronary angiography among a geographically well-defined rural population of south India having an access to a governmental health insurance scheme.
Demographic, social and economic data have been collected since 2000 from key informants reporting on all individual household members whether resident or non-resident in the geographically well-defined surveillance area in the household surveillance.
Therefore, this study was designed to estimate the population prevalence of S. aureus in a geographically well-defined community; to document S. aureus nasal colonization distribution and strain similarity; and to identify any community, health-related and hygiene risk factors for S. aureus colonization and serious skin infection, separately.
These four geographically well-defined regions are discussed in the following presentation.
In 1963, the French physician Lapeyssonnie described a geographically well-defined area in Sub-Saharan Africa with an exceptionally high incidence of meningococcal meningitis (37).
Such coarse indicators operating in larger scales, however, are inappropriate for guidance to a small familiar home area around a geographically well-defined location.
Similar(35)
The study population comprised all inhabitants of Leidsche Rijn, a geographically well defined new suburb near Utrecht, The Netherlands.
One limitation corresponds to the relative limited number of patients included in the study, which though is conducted in a geographically well defined region in Sweden.
These two geographically and demographically well-defined administrative regions have a background population of approximately 1.7 million (32% of Denmark's population, Table 1).
DACOBAN covers 32% of the Danish population, and is part of a multinational bacteremia collaborative network that incorporates bacteremic data from all of Finland, as well as geographically and demographically well-defined regions in Canada, Australia, and Sweden.
The Danish Collaborative Bacteraemia Network (DACOBAN) research database includes microbiological data obtained from positive blood cultures from a geographically and demographically well-defined population serviced by three clinical microbiology departments (1.7 million residents, 32% of the Danish population).
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