Dengue Force of Infection Estimates by Elevation and Population Density, 2013-2019

FOI (Force of Infection) estimates for dengue fever derived from catalytic models using case report data. The dataset includes estimates stratified by elevation and population density, based on laboratory-confirmed cases collected between 2014 and 2019, with FOI estimates calculated from collated reports from 2013 to 2018. It was authored by Ava Kristy Sy and published on figshare.

Use Cases

• Modeling dengue transmission risk based on elevation and population density strata.
• Analyzing age distribution of dengue cases with warning signs based on the described patient data.
• Calibrating catalytic models for infectious disease using historical case report data.
• Studying the relationship between environmental/demographic factors and dengue FOI.

Strengths

• Data spans a 6-year period (2013-2018 for FOI estimates, 2014-2019 for source data).
• Estimates are stratified by two key environmental variables: elevation and population density.
• Uses laboratory metrics for case confirmation, suggesting diagnostic rigor.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope or a summary table.
• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and granularity require verification.

Provenance

Source

figshare, author Ava Kristy Sy.

Collection Method

Estimates derived from catalytic models applied to surveyed case report data with laboratory metrics.

Time Range

Case data collected 2014-2019; FOI estimates based on reports from 2013-2018.

Freshness

Last updated 2026-05-26 17:42:50; freshness should be verified.