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First, a broad spatial analysis of the determinants of poverty in Kenya found a positive correlation between access to health facilities, frequency of travel, and wealth, suggesting that more wealthy populations are both more able to travel frequently and have easy access to health facilities.
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Health care service related factors like distance from nearby health facility, frequency of ANC and nutrition education during pregnancy were not related to zinc status.
There was no statistically significant association between gender, age, monthly income, distance from health facility, frequency of visits to health center and scores on HIV-KQ.
The model for SP utilization was adjusted for distance to the nearest healthcare facility with ANC service (which was defined by time taken to reach the facility), frequency of ANC visits during last pregnancy, trimester when the first visit was made, average time spent on a single ANC visit and knowledge of malaria in pregnancy.
These criteria resulted in 44,631,615 acceptable allocations and good performance in terms of pairwise medical facility frequencies, with 95% of all clinic pairs (total of 946 pairs) randomized to the same condition with probabilities of 40% to 60% (designs resulting in many instances of cluster pairs never/rarely or always/often randomized to the same arm threaten study validity) [ 15].
In [6], C. Goebel and D.S. Callaway investigated the market value of the electric car in California and concluded that utilizing those facilities in frequency regulation is a very promising business mode.
While it is often speculated that medical tourists rely primarily on the Internet to inform themselves about destination facilities, the frequency of access to information found online and its actual influence on decision-making requires dedicated attention [ 33, 34].
In a diverse range of hospitals in 14 countries worldwide, with on-site angiographic facilities, the frequency of catheterisations and percutaneous coronary interventions (PCI) exhibited a paradoxical pattern, whereby most interventions were performed in low-risk rather than high-risk patients (the 'treatment-risk paradox').
Education level, distance to the nearest health facility, and frequency of antenatal care visits emerged as significant determinants of facility delivery, after accounting for the apparent collinearity between plausible confounding factors.
Women's education level, distance to the nearest health facility and frequency of antenatal care visits were found to be significantly associated with the likelihood of facility delivery.
This work experimentally analyzes the relevant properties of NiTi SMA and conducts facility measurements, frequency analyzes and simulations of the effects of SMA on stay cables.
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