@Article{CampanharoMoreChriAnde:2022:HoDuFi,
               author = "Campanharo, Wesley Augusto and Morello, Thiago and Christofoletti, 
                         Maria A. M. and Anderson, Liana O.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal do ABC (UFABC)} and {Joint Research Centre 
                         (JRC)} and {Centro Nacional de Monitoramento e Alertas de 
                         Desastres Naturais (CEMADEN)}",
                title = "Hospitalization due to fire-induced pollution in the brazilian 
                         legal amazon from 2005 to 2018",
              journal = "Remote Sensing",
                 year = "2022",
               volume = "14",
               number = "1",
                pages = "e69",
                month = "Jan.",
             keywords = "Econometrics, Instrumental variable, Wildfire.",
             abstract = "Fire is widely used in the Amazon as a ubiquitous driver of land 
                         management and land cover change. Regardless of their purpose, 
                         fires release a considerable amount of pollutants into the 
                         atmosphere, with severe consequences for human health. This paper 
                         adds to the extant literature by measuring the causal effect of 
                         fires on hospitalizations, using the approach of instrumental 
                         variables, whose validity is assessed with multiple statistical 
                         tests. A wide range of confounders are added as covariates, 
                         seizing on the accuracy enhancement potential of a broad and 
                         fine-grained dataset that covers 14 years of the whole Amazon 
                         territory at a municipalmonthly level. The results reveal a 
                         positive effect of fire on hospitalizations due to respiratory 
                         illnesses in general, and particularly in those due to asthma. A 
                         1% increase in pollution concentration would increase 
                         hospitalizations by 0.14% at a municipalitymonthly level. A total 
                         of 5% of respiratory hospitalizations were estimated to be 
                         attributable to fire-induced pollution, corresponding to 822 cases 
                         per month. The analysis demonstrates that the coupling of 
                         econometrics and remote sensing data is a promising avenue towards 
                         the assessment of impacts caused by fires, which may be applied to 
                         other regions of the world subjected to anthropogenic fires.",
                  doi = "10.3390/rs14010069",
                  url = "http://dx.doi.org/10.3390/rs14010069",
                 issn = "2072-4292",
             language = "en",
        urlaccessdate = "25 jun. 2024"
}