%0 Journal Article
	%A Domenico Chizzoniti and  Monica Moscatelli and  Letizia Cattani and  Piero Favino and  Luca Preis 
	%D 2017
	%J International Journal of Architectural and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 126, 2017
	%T A Settlement Strategy for Health Facilities in Emerging Countries: A Case Study in Brazil
	%U https://publications.waset.org/pdf/10007430
	%V 126
	%X A settlement strategy is to anticipate and respond the needs of existing and future communities through the provision of primary health care facilities in marginalized areas. Access to a health care network is important to improving healthcare coverage, often lacking, in developing countries. The study explores that a good sanitary system strategy of rural contexts brings advantages to an existing settlement: improving transport, communication, water and social facilities. The objective of this paper is to define a possible methodology to implement primary health care facilities in disadvantaged areas of emerging countries. In this research, we analyze the case study of Lauro de Freitas, a municipality in the Brazilian state of Bahia, part of the Metropolitan Region of Salvador, with an area of 57,662 km² and 194.641 inhabitants. The health localization system in Lauro de Freitas is an integrated process that involves not only geographical aspects, but also a set of factors: population density, epidemiological data, allocation of services, road networks, and more. Data were collected also using semi-structured interviews and questionnaires to the local population. Synthesized data suggest that moving away from the coast where there is the greatest concentration of population and services, a network of primary health care facilities is able to improve the living conditions of small-dispersed communities. Based on the health service needs of populations, we have developed a methodological approach that is particularly useful in rural and remote contexts in emerging countries.
	%P 790 - 801