Sentence examples for burden estimation from inspiring English sources
This analysis was also performed at the regional-scale (Table 1), based on regional data of England and Wales, which provides statistically more precise estimates of the heat-mortality relationship for health burden estimation (see below).
In fact, burden estimation in individuals with multiple headache types cannot, even when diagnoses are correct, realistically attribute burden in parts to each type.
The methodology for magnitude estimation has yet to be developed: it does not exist in recommendations for burden estimation so far put forward [7].
A structured questionnaire administered by trained lay interviewers was the instrument both for diagnosis (algorithmically determined from responses) and burden estimation.
In all cases of burden estimation (more so than for prevalence estimation because of the complexities of burden), the limitations of recall are an important factor in the generation of information bias.
The design of the study; Identification of the population of interest; Control of bias; Sampling from the population of interest; The sample size; Means of access to and engagement with participants within the sample; Participation rate; Method of enquiry and survey instruments (questionnaires); Case definition and diagnosis; Timeframe; Burden estimation (which aspects, and how?); Data management.
We found few studies conducting burden estimations that were both relevant and comprehensive [3 5, 40].
For purposes of prevalence and burden estimations, definite and probable migraine were considered together as migraine, as were definite and probable TTH as TTH.
Baseline information on prevalence of COPD is an important input for disease burden estimations as well as for estimations of attributable disease burdens for important risk factors.
The indirect disease burden estimations might increase in future, if the recently reported increased risk of stroke after HZ is being confirmed in future research [ 33].
9– 12 The difficulties in correctly diagnosing this parasite are mainly responsible for its constant neglect in epidemiological mapping and burden estimations.
