The phrase "and morbidity data from" is correct and usable in written English.
It can be used in contexts related to health, research, or statistics when discussing data related to illness or health outcomes from a specific source.
Example: "The study analyzed mortality and morbidity data from various hospitals across the region."
Alternatives: "and illness statistics from" or "and health outcome data from".
Each disease is detailed with diagnostic characteristics and given a unique identifier that is used to code mortality data on death certificates and morbidity data from patient and clinical records.
Prospectively collected socio-economic and morbidity data from the Newcastle Thousand Families study, a birth cohort established in 1947.
The determinants of NCD MR were explored and excluded since the NCD MR are estimates based on assumptions and extrapolations due to the lack of reliable mortality and morbidity data from SSA [ 18]. * Indicates measurement in percentage † Indicates measurement in grams/capita/day Figure 2 shows the relationship between stunted children and overweight/obese women.
Co-morbidity data for IBS-patients and morbidity data for controls were derived from a population-based Health Care Register HCRR) covering all diagnoses in primary as well as hospital care in the region.
In the HDSS area, Community Health Research Workers (CHRWs) collect vital events such as marriage, birth, death, migration (both out- and in) and selected morbidity data from women of reproductive age (15 – 49 years) and children less than five years of age through bimonthly household visits.
Both Mortality and Morbidity data was collected from Department of Municipal Corporation of Mumbai.
Predicted morbidity values in 2012 from best-fitting ARIMA model and actual morbidity data from 2000 to 2011 were used to further construct the combined model.
First, mortality and morbidity data contain inaccuracies, even when obtained from the most reliable sources [ 27– 29], with the measurement of the burden of morbidity being commonly subject to more error than the burden of mortality [ 54].
We will estimate the actual selection bias from age, gender and morbidity data.
Firstly, in data source triangulation we analyzed the main health problems in this district by reviewing existing morbidity data from the Centre of Disease Control CDCC); and investigated health problems and risk factors by ranking, focus group discussions (FGDs) and questionnaire survey.
The third step was to validate the combined model with 12 months of morbidity data from January 2012 to December 2012 and to further forecast the incidence of hepatitis E in 2013.
