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aedseo vs SimInf

A side-by-side editorial comparison of aedseo and SimInf — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:epidemiologyr-package

aedseo vs SimInf: at a glance

FeatureaedseoSimInf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, time-series, surveillance, r-packageepidemiology, stochastic-simulation, bayesian-inference, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is aedseo?

An epidemic-onset detector that now brackets the whole season, not just its start

aedseo is a Statens Serum Institut R package for automated early detection of seasonal epidemic onsets, built around growth-rate estimation over consecutive time intervals. The 1.0.0 line moved it well past its original scope: observations are now modelled as cases or population-adjusted incidence, multiple waves can be estimated in one pass, and disease-specific thresholds are computed by a dedicated function. Version 1.1.0 adds an estimate of when a season has ended after the first onset.

Read the full aedseo trajectory →

What is SimInf?

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

Read the full SimInf trajectory →

aedseo vs SimInf: editorial side-by-side

A
aedseo
ANALYTICS
0.0

An epidemic-onset detector that now brackets the whole season, not just its start

◆ Current state

aedseo is a Statens Serum Institut R package for automated early detection of seasonal epidemic onsets, built around growth-rate estimation over consecutive time intervals. The 1.0.0 line moved it well past its original scope: observations are now modelled as cases or population-adjusted incidence, multiple waves can be estimated in one pass, and disease-specific thresholds are computed by a dedicated function. Version 1.1.0 adds an estimate of when a season has ended after the first onset.

◆ Where it's heading

The arc runs from a single-purpose onset detector toward a full seasonal-surveillance toolkit. Each release since 1.0.0 has widened what the package can say about a season rather than improving how it says it: incidence denominators, background population, multi-wave detection, thresholds, and now season end. Fixes in between are narrow and numerical, such as confidence intervals under ATLAS BLAS.

◆ Prediction

The natural next step is symmetry with the onset machinery the package already has: turning the 1.1.0 seasonal offset into a first-class output alongside onset, with its own summary and plotting methods.

S
SimInf
ANALYTICS
0.0

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

◆ Current state

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

◆ Where it's heading

The package has been moving from simulation toward inference for several releases. The 9.x line built the input side — utilities for cleaning raw individual event data, variables and enumeration constants in the model parser — and 10.0.0 closed the loop by making the simulator fittable to data through PMCMC. The version number was incremented precisely because that required breaking the particle filter interface.

◆ Prediction

Fitting machinery this new usually needs a second pass on usability, so the next releases most likely focus on diagnostics and documentation around PMCMC rather than on the simulation core, which has been stable across the whole 9.x and 10.x history.

Alternatives to aedseo and SimInf

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either aedseo or SimInf.

See all aedseo alternatives → · See all SimInf alternatives →

Recent activity from aedseo and SimInf

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 6mo agoaedseocombined_seasonal_output() now estimates when a season ends
  2. 8mo agoaedseoFix growth-rate confidence intervals under ATLAS BLAS
  3. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  4. 9mo agoaedseoIncidence, population adjustment and multi-wave detection land in 1.0.0
  5. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  6. 2y agoSimInfDocumentation link anchors; parser dependency fix
  7. 2y agoSimInfModel parser gains variables and enumeration constants
  8. 2y agoSimInfindividual_events() added for raw event data cleaning
  9. 2y agoaedseoMaintainership transferred to Lasse Engbo Christiansen
  10. 2y agoaedseoepi_calendar() and richer autoplot displays
  11. 2y agoaedseoFirst CRAN release of the aeddo onset detector
  12. 3y agoSimInfConfigure script uses R to locate the compiler

Frequently asked questions

What is the difference between aedseo and SimInf?

Both compete on the same themes — epidemiology, r-package — within Analytics. aedseo and SimInf are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is aedseo better than SimInf?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. aedseo and SimInf are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to aedseo?

Top aedseo alternatives in Analytics are ranked by recent ship velocity. Browse the "aedseo alternatives" section above for the current picks, or visit /alternatives/aedseo-r for the full list with editorial commentary on each.

What are the best alternatives to SimInf?

Top SimInf alternatives in Analytics are ranked by recent ship velocity. Browse the "SimInf alternatives" section above for the current picks, or visit /alternatives/siminf-r for the full list with editorial commentary on each.