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Paper Citation Record · LEDGER

Inference of epidemic networks: the effect of different data types

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.01871.

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

pith.paper-citation-record.v1
2509.01871 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:12:10.592325Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc1914bf-ae20-40b3-bc07-79978b0b16c1 · outbound

This paper cites Epidemic processes in complex networks.

Inference of epidemic networks: the effect of different data types Epidemic processes in complex networks

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 523eab7e-41f2-410f-ae7d-2e3e8f800f67 · outbound

This paper cites Coevolution spreading in complex networks.

Inference of epidemic networks: the effect of different data types Coevolution spreading in complex networks

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ba4f3dc1-92fd-4bd4-aa5e-f4620a18ebfb · outbound

This paper cites Statistical inference links data and theory in network science.

Inference of epidemic networks: the effect of different data types Statistical inference links data and theory in network science

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 680db61b-261d-4715-9dfd-992c9810061b · outbound

This paper cites Structure and inference in annotated networks.

Inference of epidemic networks: the effect of different data types Structure and inference in annotated networks

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8ccb1818-3930-43c4-b543-28bce0b87ae8 · outbound

This paper cites Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations.

Inference of epidemic networks: the effect of different data types Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1a4528d1-b679-4df6-98d5-e26b814882f0 · outbound

This paper cites Multilayer networks for text analysis with multiple data types.

Inference of epidemic networks: the effect of different data types Multilayer networks for text analysis with multiple data types

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4ddf7432-1677-460d-809e-0f7bf74605b1 · outbound

This paper cites Node Metadata Can Produce Predictability Crossovers in Network Inference Problems.

Inference of epidemic networks: the effect of different data types Node Metadata Can Produce Predictability Crossovers in Network Inference Problems

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fa92bc95-9dbe-417d-9d61-2639ef78dd16 · outbound

This paper cites Active discovery of network roles for predicting the classes of network nodes.

Inference of epidemic networks: the effect of different data types Active discovery of network roles for predicting the classes of network nodes

Reference 8

Resolution
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raw_fallback, observed 2026-08-05T12:12:18.462324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3fa2a976-0be2-483d-8889-519d708409ea · outbound

This paper cites The role of pathogen genomics in assessing disease transmission.

Inference of epidemic networks: the effect of different data types The role of pathogen genomics in assessing disease transmission

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 07ffbfc2-dff4-4c14-a27f-df3dfc455209 · outbound

This paper cites Genomic Analysis of Viral Outbreaks.

Inference of epidemic networks: the effect of different data types Genomic Analysis of Viral Outbreaks

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5a4a41be-33ca-478c-b114-639f98db1230 · outbound

This paper cites Back-projection improves inference from sparsely sampled genomic surveillance data bioRxiv [Preprint].

Inference of epidemic networks: the effect of different data types Back-projection improves inference from sparsely sampled genomic surveillance data bioRxiv [Preprint]

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0ee04fff-ac17-4516-a76b-b51d957f1cb4 · outbound

This paper cites Viral Phylodynamics.

Inference of epidemic networks: the effect of different data types Viral Phylodynamics

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 248fc058-88f4-454e-be77-b3e4b0ebd765 · outbound

This paper cites Epidemiological inference from pathogen genomes: A review of phylodynamic models and applications.

Inference of epidemic networks: the effect of different data types Epidemiological inference from pathogen genomes: A review of phylodynamic models and applications

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 535fd8ad-c747-41e5-b60d-c7ce1425c0e6 · outbound

This paper cites Unravelling transmission trees of infectious diseases by combining genetic and epidemiological data.

Inference of epidemic networks: the effect of different data types Unravelling transmission trees of infectious diseases by combining genetic and epidemiological data

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0967c73a-de32-4696-bf32-089ce884c840 · outbound

This paper cites Genetic Data Provide Evidence for Wind- Mediated Transmission of Highly Pathogenic Avian Influenza.

Inference of epidemic networks: the effect of different data types Genetic Data Provide Evidence for Wind- Mediated Transmission of Highly Pathogenic Avian Influenza

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cc8ff5ca-a08c-4f33-8bd7-ff93c70dc7e7 · outbound

This paper cites Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase.

Inference of epidemic networks: the effect of different data types Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4c6175b1-2b1e-4d68-8532-c0762a67f67c · outbound

This paper cites Relating phylogenetic trees to transmission trees of infectious disease outbreaks.

Inference of epidemic networks: the effect of different data types Relating phylogenetic trees to transmission trees of infectious disease outbreaks

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2e61ab5f-f60d-4c84-894f-e9f96526c1fa · outbound

This paper cites Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data.

Inference of epidemic networks: the effect of different data types Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b3ba6f7a-8779-4436-a5ff-782976fb29c9 · outbound

This paper cites Incorporating epidemiological data into the genomic analysis of partially sampled infectious disease outbreaks.

Inference of epidemic networks: the effect of different data types Incorporating epidemiological data into the genomic analysis of partially sampled infectious disease outbreaks

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 33af43e5-efef-4cd2-a50d-eb57e87ce200 · outbound

This paper cites Phylodynamic inference of the contribution of transmission routes in infectious disease outbreaks medRxiv [Preprint].

Inference of epidemic networks: the effect of different data types Phylodynamic inference of the contribution of transmission routes in infectious disease outbreaks medRxiv [Preprint]

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 957c7462-8223-43f7-a59c-1b2b5117ddda · outbound

This paper cites Inference of epidemic dynamics in the COVID-19 era and beyond.

Inference of epidemic networks: the effect of different data types Inference of epidemic dynamics in the COVID-19 era and beyond

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a96cbb98-f823-474f-8223-6bf8ef89c89a · outbound

This paper cites Global disparities in SARS-CoV-2 genomic surveillance.

Inference of epidemic networks: the effect of different data types Global disparities in SARS-CoV-2 genomic surveillance

Reference 22

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d6bb317e-f483-4c9a-bf26-1891bc0dcbb9 · outbound

This paper cites Guidance for representative and targeted genomic SARS-CoV-2 monitoring Key messages Guidance for representative and targeted genomic SARS-CoV-2 monitoring.

Inference of epidemic networks: the effect of different data types Guidance for representative and targeted genomic SARS-CoV-2 monitoring Key messages Guidance for representative and targeted genomic SARS-CoV-2 monitoring

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9116100b-262b-4e33-a160-66076928d04e · outbound

This paper cites Sample size calculations for pathogen variant surveillance in the presence of biological and systematic biases.

Inference of epidemic networks: the effect of different data types Sample size calculations for pathogen variant surveillance in the presence of biological and systematic biases

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 342af4ff-fdc0-4f53-986e-6a278dbb62f2 · outbound

This paper cites SARS-CoV-2 diagnostic testing rates determine the sensitivity of genomic surveillance programs.

Inference of epidemic networks: the effect of different data types SARS-CoV-2 diagnostic testing rates determine the sensitivity of genomic surveillance programs

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c3557cc7-83b9-46b5-b93d-4285e1c53e24 · outbound

This paper cites Optimizing genomic sampling for demographic and epidemiological inference with Markov decision processes.

Inference of epidemic networks: the effect of different data types Optimizing genomic sampling for demographic and epidemiological inference with Markov decision processes

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 30090855-e3c4-4f38-bf79-491084c50a8e · outbound

This paper cites Guiding the design of SARS-CoV-2 genomic surveillance by estimating the resolution of outbreak detection.

Inference of epidemic networks: the effect of different data types Guiding the design of SARS-CoV-2 genomic surveillance by estimating the resolution of outbreak detection

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 32f76822-fad9-4664-aa91-b7af63a76179 · outbound

This paper cites Genomic infectious disease epidemiology in partially sampled and ongoing outbreaks.

Inference of epidemic networks: the effect of different data types Genomic infectious disease epidemiology in partially sampled and ongoing outbreaks

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e56fe5b6-13f9-41ff-86fd-501583df742f · outbound

This paper cites Handbook of Monte Carlo methods.

Inference of epidemic networks: the effect of different data types Handbook of Monte Carlo methods

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 41ad2ba6-ef43-4aea-a9c4-ea016e4377a9 · outbound

This paper cites Persistent SARS-CoV-2 infection: significance and implications.

Inference of epidemic networks: the effect of different data types Persistent SARS-CoV-2 infection: significance and implications

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:14.073489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e220a21f-771d-4825-99c3-0a1b1af76ceb · outbound

This paper cites Bayesian inference of infectious disease transmission from whole-genome sequence data.

Inference of epidemic networks: the effect of different data types Bayesian inference of infectious disease transmission from whole-genome sequence data

Reference 31

Resolution
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raw_fallback, observed 2026-08-05T12:12:13.930464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:08.648123Z digest=sha256:ba90cf3322b96c8ab0bd72b091138fd931d8269233f6fc44e4b49406e5e9726b

Observation 6236c626-80e4-4e7b-9cef-d289e6cf466c · outbound

This paper cites Sars-cov-2 (Covid-19) by the numbers.

Inference of epidemic networks: the effect of different data types Sars-cov-2 (Covid-19) by the numbers

Reference 32

Resolution
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raw_fallback, observed 2026-08-05T12:12:13.787150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:08.745181Z digest=sha256:e966acff3f293ebe498a55373947c0a34ac46a20673916c4e7fc869640147aa8

Observation 26e4b3e4-af29-4dd5-93c5-e15a2632fdab · outbound

This paper cites SARS-CoV-2 viral load and shedding kinetics.

Inference of epidemic networks: the effect of different data types SARS-CoV-2 viral load and shedding kinetics

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:13.615494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:08.904625Z digest=sha256:a67e5c5ed9cc2e9f947b8f38a2322f8f1a02c422268c8590af8dd3144cfe5a00

Observation fedee2d2-6aa5-45a1-b2be-c4702a8c015d · outbound

This paper cites Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research.

Inference of epidemic networks: the effect of different data types Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:13.357678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f7319b7f-ff3f-4320-8002-5190c0c14bff · outbound

This paper cites Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020.

Inference of epidemic networks: the effect of different data types Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:13.169152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b72f051a-dd1b-47fb-bf99-b7572f7177ae · outbound

This paper cites Data and Python code used in this paper.

Inference of epidemic networks: the effect of different data types Data and Python code used in this paper

Reference 36

Resolution
verified exact
doi, observed 2026-08-05T12:12:10.919040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e5c0df81-8206-4e49-8974-0e42f5f3e3c7 · outbound

This paper cites Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia.

Inference of epidemic networks: the effect of different data types Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:12.978559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e92dfd09-e43f-473b-8825-124f34ad052a · outbound

This paper cites Bondi and beyond.

Inference of epidemic networks: the effect of different data types Bondi and beyond

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:12.772802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:09.600268Z digest=sha256:e041d00103eca4a465795b47d92676423b8bcfb6c4c71ee396452c54fd993f3d

Observation ea6024c9-a1f7-48bb-8921-fdaed7f899a4 · outbound

This paper cites Australia’s Response to COVID-19.

Inference of epidemic networks: the effect of different data types Australia’s Response to COVID-19

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:12.602450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:09.773737Z digest=sha256:b85a1127e367235e77d4b21b10bb9368f597b23a015e1ac9048e6106fdf38793

Observation 69abaf93-e665-42f0-9eb6-87320b694cb3 · outbound

This paper cites The Structural Virality of Online Diffusion.

Inference of epidemic networks: the effect of different data types The Structural Virality of Online Diffusion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:12.393509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:09.981630Z digest=sha256:2d805f3fba7cb493c2b0b16e84dacd5b78810bc92ed19f8a9e2d6aac57671cc6

Observation 2d9c1dc7-c382-40da-b624-5891b8ba0b46 · outbound

This paper cites Underdetected dispersal and extensive local transmission drove the 2022 mpox epidemic.

Inference of epidemic networks: the effect of different data types Underdetected dispersal and extensive local transmission drove the 2022 mpox epidemic

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:12.133957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:10.123802Z digest=sha256:fb51f614fcc538f71b4a091bc0fb1a660183ee73d568b1f3a8bf6282f0301d0b

Observation 2bfc59c1-d8e2-450e-beb3-608184c6dad3 · outbound

This paper cites Bayesian Phylogeography Finds Its Roots.

Inference of epidemic networks: the effect of different data types Bayesian Phylogeography Finds Its Roots

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:11.815706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:10.245521Z digest=sha256:05ae517cb81cfc381e39ed13e8f33298d631bc1f252928d127c8ab2328d2ea9a

Observation 9c8d16e1-c96f-46bb-a1a6-d5dc543b1d70 · outbound

This paper cites On the origin and evolution of SARS-CoV-2.

Inference of epidemic networks: the effect of different data types On the origin and evolution of SARS-CoV-2

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:11.551085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T12:12:10.412507Z digest=sha256:a0e7d366d4a709feff9fdbd125d1559bd53500000d1574f6fa82dc69c7a301af

Observation d4fbe511-1f26-4e29-b06e-1ca5df69fdaf · outbound

This paper cites Tracking the COVID-19 pandemic in Australia using genomics.

Inference of epidemic networks: the effect of different data types Tracking the COVID-19 pandemic in Australia using genomics

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:12:11.238771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.