Sentence examples for poorest groups with from inspiring English sources

Selling free ITNs or increasing prices for the heavily subsidised ones posed an affordability barrier and undermined the potential for reaching the poorest groups with interventions: "I speak as a dispensary committee member.

When trade-related economic growth does occur, economic inequalities that generally accompany such growth can lead to the poorest groups with limited access to food and the abilityto meet their basic nutritional requirements.

Children are now our poorest group, with almost 25 percent of children under 5 living below the federal poverty level.

The subgroup comparisons between the well, moderate, and poor groups with the normal group were adjusted by the Bonferroni method.

Over the last decade, the number of patients with diabetes who cannot afford their medication has increased in parallel with the rising cost and complexity of diabetes regimens (10, 11), which could explain why poorer groups with diabetes have benefited less from advances in medical care.

Prescription drug coverage in addition to insurance for medical services is another step that might help bridge the gap in cardiovascular risk between rich and poor groups with diabetes by making state-of-the-art drug regimens more accessible to all.

Similarly, of those who reported being ill during the recall period, some 63percentt belong to the three poorest groups compared with around 33percentt from the two richest groups (table 4).

Kollmannsberger et al identified three prognosis groups: a good-poor, intermediate-poor and poor-poor risk group with 2-year survival rates of 84, 64 and 49%, respectively.

There was an almost twofold increase in the prevalence of late preterm birth in the poorest group, compared with the richest group (16.8% vs. 8.5%).

Already in the last three years, we have seen a large increase in the number of organizations in our applicant pools that are addressing social problems or poor population groups with commercial approaches.

This gene set was used to classify good-prognosis and poor-prognosis groups with Naïve Bayes algorithm.