Sentence examples for inadequate population from inspiring English sources

Observations in the study districts revealed inadequate population coverage of health services and care.

Among the reasons for these conflicting results could be methodological issues, e.g., inadequate population size, information bias, and inadequate adjustments for covariates.

An inadequate population sampling is one of the potential limitations of the branch length method as identified by Pons et al. [ 28].

Due to the high proportion of private food production and the high caloric intake at baseline, Russia's currently food inadequate population by FAO standards is estimated to be low, at 5 6%, a number that compares favorably to other transitional (7%), Asian (16%), or African countries (33%) (16).

The current opportunistic screening program was employed in Malaysia in 1969, but like many middle income countries the implementation of this initiative has highlighted many caveats [ 3, 14, 31– 33], not least of which has been an inadequate population coverage [ 3, 14, 34, 35].

However, chronic exposures are endemic in developing countries, because aflatoxin monitoring is inadequate, populations tend to rely heavily on just a few staple crops that are vulnerable to Aspergillus infection, and growing conditions often favor mold growth.

17 EPTB siblings were not included due to inadequate study population size which did not allow for sibling mortality studies.

No head-to-head studies in a TNF inadequate responder population utilizing abatacept or tocilizumab have yet been conducted.

With the exceptions of Japan, South Korea and Taiwan, resources in most countries are inadequate for population-based organised screening mammography programmes.

This high anti-HAV prevalence may result from the long history, large population, inadequate sanitation, and poor hygiene of China that may favor HAV circulation and transmission [11].

The methodological quality of the studies or the ability to appraise this was compromised by inadequate reporting of population characteristics, case definitions, recruitment methodology (source, eligible and study population), exclusion criteria, data collection and analysis, response rates, and identification of potential biases and confounders.