Sentence examples for planning population from inspiring English sources

The causes are manifold: strong economic growth in some places, economic collapse in others, war, poor planning, population booms, high oil prices and drought have combined to leave both industry and residents short of power when many need it most.

A few creative minds have sought to decentre the democracy-versus-dictatorship narrative, drawing out the common trends – rapid technological change, economic uncertainty, imperial ambitions, the rise of new discourses of planning, population and "racial hygiene" – that marked virtually all of Europe's states during these decades, even though they derailed only some of them.

Table 1 List of TPIs to build a scenario Macro-categories Name of indicator Definition City planning Population Number of inhabitants in a given city.

Disaster risks continue to increase, exacerbated in different settings by weak development planning, population growth, rapid urbanization and climate change.

The field activities include basic health, family planning, population welfare, environment, communication, sanitation, income generation, household economies and education.

We aggregated the MUs into four landscape-scale units for application to conservation planning, population assessment, and restoration (Table 1).

The Global Campaign began to address these deficiencies several years ago, planning population-based studies in Georgia [9], India [10], China [11], Russia [12] and Pakistan [13], in Ethiopia, Guatemala, Nepal, Saudi Arabia and Zambia (in progress or analysis), and in Morocco, Egypt, Peru and Sri Lanka (planned), and providing intellectual support for the 10-country Eurolight project [14].

Reliable and valid longitudinal data are essential for planning population-based public health programs.

Since 2007, all Canadian provinces have launched, piloted, or are planning population-based CRC screening programs (4).

In addition to the most efficient and effective use of the vaccine from an immunological point of view, health authorities have to consider many factors when planning population-scale interventions, including practical, economic, and political constraints [ 20].

Understanding the accuracy of self-reported data and developing prediction models that correct for underreporting of hypertension in self-reported data can be critical tools in the development of more accurate population level estimates, and in planning population-based interventions to reduce the risk of, or more effectively treat, hypertension.