Spatial modeling of mortality from acute lower respiratory infections in children under 5 years of age in 2000-2017: a global study.

Abstract

Background\nOver the past few decades, various goals have been defined to reduce the mortality of children caused by acute lower respiratory infections (ALRI) worldwide. However, few spatial studies to date have reported on ALRI deaths.\n\n\nPurpose\nWe aimed to assess the spatial modeling of mortality from ALRI in children under 5 years of age during 2000-2017 using a global data.\n\n\nMethods\nThe data on the mortality of children under 5 years old caused by ALRI were initially obtained from the official website of the World Health Organization. The income status of their home countries was also gathered from the Country Income Groups (World Bank Classification) website and divided into five categories. After that, in the ArcGIS 10.6 environment, a database was created and the statistical tests and related maps were extracted. The Global Moran s I Statistic, Getis-Ord Gi statistic, and geographically weighted regression were used for the analyses. In this study, higher Z-scores indicated the hot spots, while lower Z-scores indicated the cold spots.\n\n\nResults\nIn 2000-2017, child mortality showed a downward trend from 17.6 per 100000 children to 8.1 and had a clustered pattern. Hot spots were concentrated in Asia in 2000 but shifted toward African countries by 2017. A cold spot that formed in Europe in 2007 showed an ascending trend by 2017. Based on the results of geographically weighted regression test, the regions identified as the hot spots of mortality from ALRI in children under 5 years old were among the middle-income countries (R2 = 0.01, adjusted R2 = 8.77).\n\n\nConclusion\nWhile the total number of child deaths in 2000-2017 has decreased, the number of hot spots has increased among countries. This study also concluded that, during the study period, Central and Western Africa countries became the main new hot spots of deaths from ALRI.