@Article{MenezesMSDRMBC:2021:AnSpPa,
               author = "Menezes, J{\'u}lia Alves and Madureira, Ana Paula and Santos, 
                         Rhavena Barbosa dos and Duval, Isabela de Brito and Regoto, Pedro 
                         and Margonari, Carina and Barata, Martha Mac{\^e}do de Lima and 
                         Confalonieri, Ulisses",
          affiliation = "{Funda{\c{c}}{\~a}o Instituto Oswaldo Cruz (FIOCRUZ)} and 
                         {Universidade de S{\~a}o Jo{\~a}o del Rei} and 
                         {Funda{\c{c}}{\~a}o Instituto Oswaldo Cruz (FIOCRUZ)} and 
                         {Funda{\c{c}}{\~a}o Instituto Oswaldo Cruz (FIOCRUZ)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Funda{\c{c}}{\~a}o Instituto Oswaldo Cruz (FIOCRUZ)} and 
                         {Funda{\c{c}}{\~a}o Instituto Oswaldo Cruz (FIOCRUZ)} and 
                         {Funda{\c{c}}{\~a}o Instituto Oswaldo Cruz (FIOCRUZ)}",
                title = "Analyzing Spatial Patterns of Health Vulnerability to Drought in 
                         the Brazilian Semiarid Region",
              journal = "International Journal of Environmental Research and Public 
                         Health",
                 year = "2021",
               volume = "18",
               number = "12",
                pages = "6262",
             keywords = "vulnerability, drought, health, social determinants, rural 
                         population, Brazil.",
             abstract = "Health determinants might play an important role in shaping the 
                         impacts related to longterm disasters such as droughts. 
                         Understanding their distribution in populated dry regions may help 
                         to map vulnerabilities and set coping strategies for current and 
                         future threats to human health. The aim of the study was to 
                         identify the most vulnerable municipalities of the Brazilian 
                         semiarid region when it comes to the relationship between drought, 
                         health, and their determinants using a multidimensional index. 
                         From a place-based framework, epidemiological, socio-economic, 
                         rural, and health infrastructure data were obtained for 1135 
                         municipalities in the Brazilian semiarid region. An exploratory 
                         factor analysis was used to reduce 32 variables to four 
                         independent factors and compute a Health Vulnerability Index. The 
                         health vulnerability was modulated by social determinants, rural 
                         characteristics, and access to water in this semiarid region. 
                         There was a clear distinction between municipalities with the 
                         highest human welfare and economic development and those 
                         municipalities with the worst living conditions and health status. 
                         Spatial patterns showed a cluster of the most vulnerable 
                         municipalities in the western, eastern, and northeastern portions 
                         of the semiarid region. The spatial visualization of the 
                         associated vulnerabilities supports decision making on health 
                         promotion policies that should focus on reducing social 
                         inequality. In addition, policymakers are presented with a simple 
                         tool to identify populations or areas with the worst socioeconomic 
                         and health conditions, which can facilitate the targeting of 
                         actions and resources on a more equitable basis. Further, the 
                         results contribute to the understanding of social determinants 
                         that may be related to medium- and long-term health outcomes in 
                         the region.",
                  doi = "10.3390/ijerph18126262",
                  url = "http://dx.doi.org/10.3390/ijerph18126262",
                 issn = "1661-7827 and 1660-4601",
                label = "lattes: 3548266336376486 5 MenezesMSDRMBC:2021:AnSpPa",
             language = "en",
           targetfile = "menezes_analyzin.pdf",
        urlaccessdate = "05 maio 2024"
}