Dengue Fever Model Variables and Parameters for Bangladesh

5.5 KB of model variables and parameters supporting a Susceptible–Infected–Treated–Recovered–Susceptible (SITRS) epidemiological model for dengue fever. Authored by Md Mafizer Rahman and last updated in May 2026, the dataset calibrates the model using division-level dengue surveillance and temperature data across Bangladesh.

Use Cases

• Calibrating temperature-dependent mosquito biting rates in epidemiological models based on the described framework.
• Analyzing the impact of treatment access and efficacy on outbreak peaks using the SITRS model structure.
• Forecasting regional transmission risks, such as identifying hotspots like Dhaka Metropolitan, using model parameters.
• Studying healthcare disparities between urban and rural regions through the model's distinction between natural recovery and supportive care.

Strengths

• Model framework explicitly integrates temperature-dependent biting rates and treatment capacity, a described feature.
• Dataset is licensed under CC-BY-4.0, permitting open reuse and modification.
• Calibrated using division-level dengue surveillance and temperature data across Bangladesh, as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 5.5 KB, indicating limited scope, likely containing only core model parameters.

Provenance

Source

figshare

Collection Method

Likely derived from division-level dengue surveillance and temperature data for model calibration.

Freshness

Last updated 2026-05-15 17:26:03; freshness should be verified.

Geography

Bangladesh, with specific mention of Dhaka Metropolitan.