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Population Explorer™ for Determining Beneficiaries (Part 1)

Posted by India Young on August 22, 2018

Population Explorer works closely with international development organizations to help determine the impact of resources on local populations. In this week's blog, we look into an interesting case study where Population Explorer is used to identify African beneficiaries of infrastructure projects like wells.

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Tags: Population Mapping, Policy-Makers, education, research, Science, Disaster Response, Aid Distribution, Nutritionists, Public Health, Wells, Africa

Population Explorer™ for Public Health

Posted by India Young on August 10, 2018

The field of public health works to promote and protect the health of citizens and the communities where they live, learn, work and play. Those in the public health field work to prevent people from getting sick or injured by promoting wellness and encouraging healthy life choices. Population Explorer helps the public health sector by providing accurate, fast population and demographic data so first responders, epidemiologists, health educators,  public policymakers can retrieve the data they need immediately and effectively. By using the Population ExplorerTM application, those in the public health sector have access to an unequivocal, interactive mapping tool that instantly sources the most accurate, authoritative, and current demographic data available.

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Tags: Population Mapping, Policy-Makers, education, research, Science, Disaster Response, Aid Distribution, Nutritionists, Public Health

Population Explorer™ for Humanitarian Response

Posted by Katie Toren on May 15, 2018

Disasters affecting human populations are occurring with increased frequency. However, the best estimates of how many people are impacted by a major disaster are often based on cursory or poorly-supported guesses. Why? Because responders do not have access to population-specific data; and if they they do, it is usually out of date or at resolution that lacks sufficient detail for meaningful decision making. Best guesses and expert opinions often inform multi-million dollar relief responses, rather than relevant, location-sensitive data. The need for better demographic information to respond to natural and human-caused disasters is clear.

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Tags: Population Mapping, Aid Distribution, Disaster Response

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