Rainfall drives hydrocephalus in East Africa

Author:

Schiff Steven J.12,Ranjeva Sylvia L.1,Sauer Timothy D.3,Warf Benjamin C.4

Affiliation:

1. Center for Neural Engineering and Department of Engineering Science and Mechanics, and

2. Departments of Neurosurgery and Physics, The Pennsylvania State University, University Park, Pennsylvania;

3. Department of Mathematics, George Mason University, Fairfax, Virginia; and

4. Department of Neurosurgery, and Program for Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Children's Hospital Boston, Massachusetts

Abstract

Object Hydrocephalus is one of the most common brain disorders in children throughout the world. The majority of infant hydrocephalus cases in East Africa appear to be postinfectious, related to preceding neonatal infections, and are thus preventable if the microbial origins and routes of infection can be characterized. In prior microbiological work, the authors noted evidence of seasonality in postinfectious hydrocephalus (PIH) cases. Methods The geographical address of 696 consecutive children with PIH who were treated over 6 years was fused with satellite rainfall data for the same time period. A comprehensive time series and spatiotemporal analysis of cases and rainfall was performed. Results Four infection-onset peaks were found to straddle the twice-yearly rainy season peaks, demonstrating that the infections occurred at intermediate levels of rainfall. Conclusions The findings in this study reveal a previously unknown link between climate and a neurosurgical condition. Satellite-derived rainfall dynamics are an important factor in driving the infections that lead to PIH. Given prior microbial analysis, these findings point to the importance of environmental factors with respect to preventing the newborn infections that lead to PIH.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

General Medicine

Reference28 articles.

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2. Reduction of cholera in Bangladeshi villages by simple filtration

3. Spatial analysis of melioidosis distribution in a suburban area

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