Urban Air Pollution and Child Neurodevelopmental Conditions: A Systematic Bibliometric Review

The dataset for this research was compiled through an advanced PubMed search targeting publications from a one-year period, with keywords focused on air pollution, neurodevelopment, and associated disorders. From an initial pool of 450 publications, filtering based on the co-occurrence of relevant keywords reduced this to approximately 44 papers. The analysis was conducted using VOSviewer to generate a visual map of relationships between air pollution and child neurodevelopment. To ensure consistency, a thesaurus was applied to standardize terminology, refining the final network for a detailed examination of keyword clusters and their interactions. For those seeking to replicate this process, Appendix A provides an in-depth, step-by-step methodology for building the networks and utilizing the data files to recreate the visualizations.