Data will be presented in accordance with the CONSORT guidelines on reporting on RCTs. Analysis will be done by Dr. Rafdzah, a statistician. An intention to treat approach will be used for all analyses. For the primary aim i.e. the clinical outcome of the different antibiotic durations, the main outcomes being looked at are (a) clinical cure-complete resolution of symptoms and signs at 4 weeks ,(b) proportion of children without chronic respiratory symptoms or signs at the 12 month follow-up , using odds ratio(95%CI) with logistic regression and linear regression. For continuous variables, t-tests and Mann-Whitney tests will be used depending on the normality of the data. A Kaplan-Meier curve will be constructed for each group for the time to next respiratory illness and hospitalization and proportions will be compared by regression models. For prevalence of respiratory pathogens, point prevalence will be reported on and multivariable logistic regression adjusting for baseline carriage and antibiotic resistance will examine the effects of treatment duration on the different organisms particularly Streptococcus pneumoniae and Haemophilus influenzae and Staph aureus.