@article{(Open Science Index):https://publications.waset.org/pdf/10007430, title = {A Settlement Strategy for Health Facilities in Emerging Countries: A Case Study in Brazil}, author = {Domenico Chizzoniti and Monica Moscatelli and Letizia Cattani and Piero Favino and Luca Preis }, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Architectural and Environmental Engineering}, volume = {11}, number = {6}, year = {2017}, pages = {790 - 801}, ee = {https://publications.waset.org/pdf/10007430}, url = {https://publications.waset.org/vol/126}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 126, 2017}, }