Time series analysis of dengue cases reporting to a tertiary care hospital

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dc.contributor.authorKembhavi, Ravindra S.en_US
dc.contributor.authorU. S., Saurabhaen_US
dc.date.accessioned2020-05-06T08:41:19Z
dc.date.available2020-05-06T08:41:19Z
dc.date.issued2019-05
dc.description.abstractBackground: Dengue fever 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 a tertiary care hospital in the city of Mumbai. Data of Dengue cases and climate for the city of Mumbai between 2011 and 2015 were obtained. Data was analysed using SPSS- time series analysis and forecasting model. Results: 33% cases belonged to the 21-30 years, proportion of men affected were more than women. A seasonal distribution of cases was observed. A strong correlation was noted between the total number of cases reported and (a) mean monthly rainfall and (b) number of days of rainfall. ARIMA model was used for forecasting. Conclusions: The trend analysis along with forecasting model helps in being prepared for the year ahead.en_US
dc.identifier.affiliationsDepartment of Community Medicine, Seth G S Medical College and KEM Hospital, Mumbai, Maharashtra, Indiaen_US
dc.identifier.citationKembhavi Ravindra S., U. S. Saurabha. Time series analysis of dengue cases reporting to a tertiary care hospital. International Journal of Community Medicine and Public Health. 2019 May; 6(5): 2200-2205en_US
dc.identifier.issn2394-6032
dc.identifier.issn2394-6040
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/201413
dc.languageenen_US
dc.publisherMedip Academyen_US
dc.relation.issuenumber5en_US
dc.relation.volume6en_US
dc.source.urihttps://dx.doi.org/10.18203/2394-6040.ijcmph20191844en_US
dc.subjectDengueen_US
dc.subjectTime seriesen_US
dc.subjectForecasten_US
dc.subjectSeasonal trenden_US
dc.subjectClimate changeen_US
dc.titleTime series analysis of dengue cases reporting to a tertiary care hospitalen_US
dc.typeJournal Articleen_US
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