Main Article Content
Public health policy strategies for reducing mortality from respiratory and cardiovascular problems are important, particularly, in the context of climate and pollution factors. However, there is a need for increasingly sophisticated statistics for the diagnoses of these relationships, thus reflecting on social well-being. The relationship between climatic factors, pollution and health has been observed in several studies, in the majority of these are used regression models and generalized linear models. This relationship is characterized by the dependence between near and distant observations (in time). The HAR (Heterogeneous autoregressive model) allows the fit of this dependence, considering series of daily, weekly and monthly averages of the variables under study, which answers the question: "How long does it take for these variables to lead to death?". In this study, the HAR model, a new methodology in the medical research, was used to analyze the association between mortality (respiratory and cardiovascular problems), climatic series (minimum temperature and humidity) and series of pollutants (PM10 and CO) in the city of São Paulo, Brazil. There was an association between long-term dependence between climatic factors and mortality due to respiratory and cardiovascular problems. However, this association was not observed for the pollution data.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).