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Designing A Ewas Approach For Modeling A Phe Essay

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METHODS We used a EWAS approach for modeling a PHE as a complex network of interdependent determinants by inferring associations between multiple and diverse factors and the incidence of microcephaly attributed to ZVI in Brazil municipalities during the first semester of 2016. Figure 1 summarizes the steps of the modeling process we describe in this section. Figure 1. Methods Flowchart. After the root steps of ‘data collection, integration and preprocessing’ and ‘model development’, the third step of model analysis comprehends extraction and comparison of 4 subnetworks to test three morbidity hypotheses. Subnetworks are identified by letters and comparisons between networks by lower-case roman numerals. To build consistent data, we comprehensively collected secondary open data from Brazil`s official web sites. Data collection included domains according to three scales and 18 factors in the WHO conceptual framework of the social determinants of health (SDH) (18). We included a fourth scale for health results that included the incidence of ZVI-related microcephaly from the open data initiative of the Brazilian system of public health surveillance (Table 1). By the standard identifier of Brazil municipalities (IBGE, Instituto Brasileiro de Geografia e Estatística), we integrated and initial set of more than 700 variables for 5570 municipalities. Preprocessing these continuous, discrete and binary variables included identifying and replacing missing values according to
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