Time series analysis of chickenpox cases admitted in infectious disease hospital in a metropolitan city, Mumbai, India
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20242543Keywords:
Chickenpox, Time series analysis, Forecast, Seasonal trend, Climate changeAbstract
Background: Chickenpox is a major public health problem; the concern is high as the disease is closely related to climate change.
Methods: This was a retrospective study, conducted for 1 year in an infectious disease hospital in a metropolitan city. Data of chickenpox cases of Mumbai between 2009 to 2018 were obtained. Data was analysed using SPSS-time series analysis and forecasting model.
Results: 88% cases belonged to the 21-40 years, proportion of men affected were more than women. A seasonal distribution of cases was observed. Winter’s multiplicative model was used for forecasting.
Conclusions: The trend analysis along with forecasting model helps in being prepared for the year ahead.
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