Dengue in Tomorrow: Predictive Insights From ARIMA and SARIMA Models in Bangladesh: A Time Series Analysis

These models offer valuable insights for healthcare planning and resource allocation, although external factors and complex interactions must be considered. Dengue prevalence is expected to rise in future in Bangladesh.

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Publication Details

Journal
Health Science Reports
Published
2024-12-01
DOI
https://doi.org/10.1002/hsr2.70276
Citations
14
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
7.60
Controls
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article

Dengue in Tomorrow: Predictive Insights From ARIMA and SARIMA Models in Bangladesh: A Time Series Analysis

Ishteaque Alam, Mohammad Emdadul Haque, Pratyay Hasan, Tazdin Delwar Khan
14 citations
Health Science Reports
Mosquito-borne diseases and control
7.60
article

Dengue in Tomorrow: Predictive Insights From ARIMA and SARIMA Models in Bangladesh: A Time Series Analysis

Ishteaque Alam, Mohammad Emdadul Haque, Pratyay Hasan, Tazdin Delwar Khan
article en
14 citations

Abstract

These models offer valuable insights for healthcare planning and resource allocation, although external factors and complex interactions must be considered. Dengue prevalence is expected to rise in future in Bangladesh.

Health Science ReportsVol. 7(12)
Daffodil International University (BD), Bangladesh Medical University (BD), Ibrahim Cardiac Hospital & Research Institute (BD), Dhaka Medical College and Hospital (BD)
Openalex Percentile: Top 2%
Mosquito-borne diseases and control
7.60
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Dengue in Tomorrow: Predictive Insights From ARIMA and SARIMA Models in Bangladesh: A Time Series Analysis — Ishteaque Alam, Mohammad Emdadul Haque, et al. · Health Science Reports (2024) | TGRS Research Map | TGRS