Paper Citation Record · LEDGER

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.10668.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.10668 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:49:33.084752Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 9fb667c3-dc92-4008-aa48-cc21e4ef1f5d · outbound

This paper cites Stratified S pace-- T ime I nfectious D isease M odelling, with an A pplication to H and, F oot and M outh D isease in C hina.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Stratified S pace-- T ime I nfectious D isease M odelling, with an A pplication to H and, F oot and M outh D isease in C hina

Reference 1

Resolution: verified exact; doi, observed 2026-08-04T17:54:12.586404Z

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Observation 3733c8d6-e47a-4810-8abb-128491bb276c · outbound

This paper cites Rotavirus O verview.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Rotavirus O verview

Reference 2

Resolution: verified exact; doi, observed 2026-08-04T17:54:12.476310Z

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Observation 5c97b233-9579-432e-b057-0f492bbe2f0b · outbound

This paper cites A M arginal M oment M atching A pproach for F itting E ndemic- E pidemic M odels to U nderreported D isease S urveillance C ounts.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction A M arginal M oment M atching A pproach for F itting E ndemic- E pidemic M odels to U nderreported D isease S urveillance C ounts

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T17:54:12.320900Z

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Observation 866be2fc-cc53-418d-a77a-5bf35a4dca80 · outbound

This paper cites Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction

Reference 4

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This paper cites Statistical A nalysis of T ime S eries: Some R ecent D evelopments.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Statistical A nalysis of T ime S eries: Some R ecent D evelopments

Reference 5

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Observation 6a6f2a68-e925-4369-8f7a-47b213865fb1 · outbound

This paper cites de Valpine, C.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction de Valpine, C

Reference 6

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Observation 1ed49416-1a36-4076-89cd-2af396dc62b1 · outbound

This paper cites Endemic-Epidemic Framework Used in Covid-19 Modelling:[Discussion on the paper by Nunes, Caetano, Antunes and Dias].

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Endemic-Epidemic Framework Used in Covid-19 Modelling:[Discussion on the paper by Nunes, Caetano, Antunes and Dias]

Reference 7

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This paper cites Poisson A utoregression.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Poisson A utoregression

Reference 8

Resolution: verified exact; doi, observed 2026-08-04T17:54:12.053605Z

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Observation 2f4e21b3-e4b8-4f5c-bd29-4f704e75c7a7 · outbound

This paper cites A statistical framework for the analysis of multivariate infectious disease surveillance counts.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction A statistical framework for the analysis of multivariate infectious disease surveillance counts

Reference 9

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Observation 80dd8fd1-1f21-411c-a4c6-d5d6240bb0a8 · outbound

This paper cites Better together? Statistical learning in models made of modules.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Better together? Statistical learning in models made of modules

Reference 10

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This paper cites Emulating a G ravity M odel to I nfer the S patiotemporal D ynamics of an I nfectious D isease.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Emulating a G ravity M odel to I nfer the S patiotemporal D ynamics of an I nfectious D isease

Reference 11

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Observation 752b153b-0777-4c32-8103-c0cb225be46b · outbound

This paper cites Berg, Hans Skaug, and Bradley M.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Berg, Hans Skaug, and Bradley M

Reference 13

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Observation fc021cf4-0eba-4307-8e5a-7ae0a23b9f16 · outbound

This paper cites Spatio- T emporal A nalysis of E pidemic P henomena using the R P ackage surveillance.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Spatio- T emporal A nalysis of E pidemic P henomena using the R P ackage surveillance

Reference 14

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Slice sampling

Reference 15

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Observation 5a433950-123d-49ba-9f56-65cc208fd034 · outbound

This paper cites Coronavirus (covid-19) I nfection S urvey, antibody data, UK: 29 March 2023.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Coronavirus (covid-19) I nfection S urvey, antibody data, UK: 29 March 2023

Reference 16

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This paper cites Faster asymptotic solutions for n-mixtures on large populations.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Faster asymptotic solutions for n-mixtures on large populations

Reference 17

Resolution: verified exact; doi, observed 2026-08-04T17:54:11.758694Z

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Observation b4c45082-6157-45bf-816c-e4fccc897665 · outbound

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Cuts in B ayesian graphical models

Reference 18

Resolution: verified exact; doi, observed 2026-08-04T17:54:11.682219Z

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This paper cites Regression M odels for U nderstanding COVID-19 E pidemic D ynamics with I ncomplete D ata.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Regression M odels for U nderstanding COVID-19 E pidemic D ynamics with I ncomplete D ata

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction RE al-time A ssessment of C ommunity T ransmission (REACT) of SARS-CoV-2 virus: S tudy protocol

Reference 20

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Observation e9e35e2a-41f9-482d-9469-f47ceb06d547 · outbound

This paper cites Modelling zero inflated and under-reported count data.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Modelling zero inflated and under-reported count data

Reference 21

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Estimation of mean using under-reported and overdispersed count data

Reference 22

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Leveraging cellphone-derived mobility networks to assess C ovid-19 travel risk

Reference 23

Resolution: verified exact; doi, observed 2026-08-04T17:54:10.948895Z

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Observation eee855f6-118d-46f9-943a-efffa2d3633c · outbound

This paper cites Wastewater surveillance using differentiable G aussian processes.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Wastewater surveillance using differentiable G aussian processes

Reference 24

Resolution: verified exact; doi, observed 2026-08-04T17:54:10.844426Z

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Observation 2a17127e-47e8-4f34-a1a5-830d06193c64 · outbound

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction RStan : the R interface to Stan , 2025

Reference 25

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Observation 9c75b8ad-9753-43d7-822a-9f83fc5afcf6 · outbound

This paper cites Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in G ermany.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in G ermany

Reference 26

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This paper cites A Hierarchical Framework for Correcting Under-Reporting in Count Data.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction A Hierarchical Framework for Correcting Under-Reporting in Count Data

Reference 27

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction COVID-19 A rchive D ata D ownload , 2025

Reference 28

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in A otearoa N ew Z ealand

Reference 29

Resolution: verified exact; doi, observed 2026-08-04T17:54:10.193317Z

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Observation 7c631aad-ca82-4793-999e-9f9fba1c2673 · outbound

This paper cites Modelling the epidemiological impact of rotavirus vaccination in G ermany-- A B ayesian approach.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Modelling the epidemiological impact of rotavirus vaccination in G ermany-- A B ayesian approach

Reference 30

Resolution: verified exact; doi, observed 2026-08-04T17:54:10.028718Z

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Observation 8b6e0136-d618-4095-84a4-4ffc0f19e814 · outbound

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Some statistical aspects of the C ovid-19 response

Reference 31

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Observation 27a46ef8-476f-4105-adbe-92701f9b6e46 · outbound

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Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction A negative binomial integer-valued GARCH model

Reference 32

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