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Using the estimates of foodborne illness for Canada along with data from the Canadian Hospitalization Morbidity Database (for years 2000 2010) and relevant international literature, the number of hospitalizations and deaths for 30 pathogens and unspecified agents were calculated.
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Our study based on a large GP-based morbidity database indicates significantly higher morbidity rates for some somatic conditions in patients with psychosis: diabetes, physical trauma, GI inflammation, alcohol abuse, chronic lung disease and mouth and teeth problems, but surprisingly not for cardiovascular disease, although from literature this could be expected [ 17].
DALYs estimated using the Western Australian ' excess' case fatality rate from the WA hospital morbidity database after 28 days following stroke and disability weights for stroke [ 14].
Hospital admission rates for stroke were obtained from the Canadian Morbidity Database at the Canadian Institute for Health Information.
The entire morbidity database consisted of 52.699 contacts.
The first approach (20 pathogens for hospitalizations and 19 pathogens for deaths) relied on the number of hospitalizations and death discharges recorded in the Hospital Morbidity Database (HMDB) maintained by the Canadian Institute for Health Information (CIHI) (Fig. 1 and Table 1) (HMDB, 2000 2010).
As provincial and national morbidity databases are being further developed, such as those for chronic and long-term care, for rehabilitation services and for home care, studies of sex and gender differences in morbidity and uses of services will be greatly enhanced.
Hospital throughput was defined as the total number of births recorded in the Scottish Morbidity Record 02 database for the given hospital over the given year.
28 29 Linked Scottish morbidity record database and patient episode database for Wales, equivalents of the English hospital episodes statistics, were reported to have high accuracy rates for the diagnosis of acute myocardial infarction.
The data from this study can serve to illustrate the complicated patterns of skeletal morbidity in patients with advanced breast cancer and provide a rich database for testing the newer statistical methodology for assessing skeletal morbidity, such as random-effects models.
Data sources and data extraction: We searched the PubMed database for epidemiological studies on ambient temperature and morbidity of noncommunicable diseases published in refereed English journals before 30 June 2010.
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