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Abstract
Pneumonia continues to be the leading cause of mortality in children worldwide, with India accounting for 20% of those deaths and a higher burden of childhood pneumonia than any other country.1 In The Lancet Child & Adolescent Health, Brian Wahl and colleagues2 report the first comprehensive evaluation of state-specific pneumonia incidence in children in India using a risk factor-based modelling approach. By calculating the effect of temporal changes in prevalence of well-known pneumonia risk factors such as malnutrition, incomplete immunisation, and exposure to indoor air pollution on incidence, the authors estimated the change in pneumonia morbidity over time.
Highlights
Pneumonia continues to be the leading cause of mortality in children worldwide, with India accounting for 20% of those deaths and a higher burden of childhood pneumonia than any other country.[1]
By calculating the effect of temporal changes in prevalence of well-known pneumonia risk factors such as malnutrition, incomplete immunisation, and exposure to indoor air pollution on incidence, the authors estimated the change in pneumonia morbidity over time
Wahl and colleagues obtained individuallevel data from the National Family Health Survey in India to model the number of children with each combination of risk factors, thereby accounting for interactions between risk factors, which is a novel aspect of the study when compared with previous models that have considered that the prevalence of
Summary
Pneumonia continues to be the leading cause of mortality in children worldwide, with India accounting for 20% of those deaths and a higher burden of childhood pneumonia than any other country.[1] In The Lancet Child & Adolescent Health, Brian Wahl and colleagues[2] report the first comprehensive evaluation of state-specific pneumonia incidence in children in India using a risk factor-based modelling approach. Wahl and colleagues obtained individuallevel data from the National Family Health Survey in India to model the number of children with each combination of risk factors, thereby accounting for interactions between risk factors, which is a novel aspect of the study when compared with previous models that have considered that the prevalence of
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