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Geospatial modelling in guiding health program strategies in resource-limited settings—the way forward

  
@article{ATM17190,
	author = {Diane Gu and Chawangwa Modongo and Sanghyuk S. Shin and Nicola M. Zetola},
	title = {Geospatial modelling in guiding health program strategies in resource-limited settings—the way forward},
	journal = {Annals of Translational Medicine},
	volume = {5},
	number = {24},
	year = {2017},
	keywords = {},
	abstract = {Public health decision-making is a complex process that demands careful rational and ethical reasoning based on sound scientific evidence. When evaluating the potential benefits and outcomes of public health programs, policymakers often find themselves in challenging situations due to competing needs, limited resources, and lack of access to quality data, among others. In recent years, mathematical modelling has gained increasing popularity in public health practice for its ability to assist with projecting outcomes of intervention strategies and policies.},
	issn = {2305-5847},	url = {http://atm.amegroups.com/article/view/17190}
}