What is already known on this topic?: Different socioecological factors were associated with childhood pneumonia in Bangladesh. However, previous studies did not assess spatial patterns, and socioecological factors and spatial variation have the potential to improve the accuracy and predictive ability of existing models.
What is added by this report?: The spatial random effects were present at the district level and were heterogeneous. Average temperature, temperature variation, and population density may influence the spatial pattern of childhood pneumonia in Bangladesh.
What are the implications for public health practice?: The study results will help policymakers and health managers to identify the vulnerable districts, plan further investigations, help to improve proper resource allocation, and improve health interventions.
Keywords: Bayesian spatial analysis; Childhood pneumonia; Socioecological factors; Spatial distribution; Weather variability.
Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021.