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From previous reports, the morbidity figures were used to determine the patient risk and played a prominent role to identify its etiological factors, accurately set malpractice rates, establish regulations, and determine means of prevention.
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However, when analysing the global number of visits taking into account the morbidity burden, figures were very similar in men and women for a burden below 4 ADGs.
Worldwide morbidity and mortality figures were obtained, in large part, from the WHO using their publically available data.
Despite a high prevalence and a socioeconomic burden in developing countries, published data with morbidity and mortality figures are limited especially Africa and South American regions.
Occasional mitotic figures were seen.
First, low co-morbidity figures may be explained by under-diagnosis of psychiatric disorders because not all children were thoroughly screened by child psychiatrists.
Our low co-morbidity figures may be explained by a number of phenomena.
In addition, the forecast of value added and employment figures are based on assumptions regarding the variation of oral morbidity, for example the DMS IV Oral Health Study.
Various illustrative figures are included.
Passive sensitivity figures are low.
Since the high mortality and morbidity figures associated with chronic disease were first made widely known, efforts have been stepped up to modify the factors that influence them, including obesity, diet, and physical activity [ 2, 35].
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CEO of Professional Science Editing for Scientists @ prosciediting.com