Time series analysis of chickenpox cases admitted in infectious disease hospital in a metropolitan city, Mumbai, India

Authors

  • Prahatheeswaran G. Department of Community Medicine, Seth G. S. Medical College and KEM Hospital, Mumbai, Maharashtra, India https://orcid.org/0009-0002-7563-8386
  • Pavan Laxman Sable Department of Community Medicine, Seth G. S. Medical College and KEM Hospital, Mumbai, Maharashtra, India
  • Sowntappan Balasubramanian Department of Community Medicine, Seth G. S. Medical College and KEM Hospital, Mumbai, Maharashtra, India https://orcid.org/0000-0003-3581-4285

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20242543

Keywords:

Chickenpox, Time series analysis, Forecast, Seasonal trend, Climate change

Abstract

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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Published

2024-08-30

How to Cite

G., P., Sable, P. L., & Balasubramanian, S. (2024). Time series analysis of chickenpox cases admitted in infectious disease hospital in a metropolitan city, Mumbai, India. International Journal Of Community Medicine And Public Health, 11(9), 3466–3471. https://doi.org/10.18203/2394-6040.ijcmph20242543

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Section

Original Research Articles