Effect of climatic variability on childhood diarrhea and its high risk periods in northwestern parts of Ethiopia

• Published in: PloS one 2017-10, Vol.12 (10), p.e0186933-e0186933
• Main Authors: Azage, Muluken, Kumie, Abera, Worku, Alemayehu, C Bagtzoglou, Amvrossios, Anagnostou, Emmanouil
• Format: Article
• Language: English
• Subjects: Adolescent; Biometeorology; Child; Child, Preschool; Childhood; Childhood diarrhea; Children; Climate; Climate change; Climate effects; Climate variability; Climatic analysis; Climatic variability; Demographic aspects; Diarrhea; Diarrhea - epidemiology; Dry season; Earth Sciences; Ecology and Environmental Sciences; Engineering schools; Environmental aspects; Environmental engineering; Environmental risk; Epidemiology; Ethiopia - epidemiology; Female; Females; Floods; Health aspects; Health risks; Health sciences; Humans; Humidity; Humidity data; Hydrologic data; Identification methods; Infant; Infant, Newborn; Infections; Infectious diseases; Male; Males; Malnutrition; Medicine and Health Sciences; Monthly rainfall; People and Places; Physical Sciences; Precipitation; Precipitation estimation; Public health; Rain; Rainfall; Regression analysis; Relative humidity; Risk; Risk Factors; Satellite precipitation estimates; Satellites; Statistical analysis; Studies; Temperature; Time series; Tropical diseases; Variability; Viruses; Weather; Young Adult
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0186933

Increasing climate variability as a result of climate change will be one of the public health challenges to control infectious diseases in the future, particularly in sub-Saharan Africa including Ethiopia. To investigate the effect of climate variability on childhood diarrhea (CDD) and identify high risk periods of diarrheal diseases. The study was conducted in all districts located in three Zones (Awi, West and East Gojjam) of Amhara Region in northwestern parts of Ethiopia. Monthly CDD cases for 24 months (from July 2013 to June 2015) reported to each district health office from the routine surveillance system were used for the study. Temperature, rainfall and humidity data for each district were extracted from satellite precipitation estimates and global atmospheric reanalysis. The space-time permutation scan statistic was used to identify high risk periods of CDD. A negative binomial regression was used to investigate the relationship between cases of CDD and climate variables. Statistical analyses were conducted using SaTScan program and StataSE v. 12. The monthly average incidence rate of CDD was 11.4 per 1000 (95%CI 10.8-12.0) with significant variation between males [12.5 per 1000 (95%CI 11.9 to 13.2)] and females [10.2 per 1000 (95%CI 9.6 to 10.8)]. The space-time permutation scan statistic identified the most likely high risk period of CDD between March and June 2014 located in Huletej Enese district of East Gojjam Zone. Monthly average temperature and monthly average rainfall were positively associated with the rate of CDD, whereas the relative humidity was negatively associated with the rate of CDD. This study found that the most likely high risk period is in the beginning of the dry season. Climatic factors have an association with the occurrence of CDD. Therefore, CDD prevention and control strategy should consider local weather variations to improve programs on CDD.