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A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics

https://doi.org/10.3390/risks8030077
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10/10 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

2 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 10 checked references that resolve
resolves10.1016/j.jempfin.2016.02.007
Modeling corporate defaults: Poisson autoregressions with exogenous covariates (PARX)
resolves10.1186/1471-2334-14-480
Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literature
resolves10.1101/2020.02.12.20022566
A spatial model of CoVID-19 transmission in England and Wales: early spread and peak timing
resolves10.2307/1912773
Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
resolves10.1080/07474938608800095
Modelling the persistence of conditional variances
resolves10.1111/j.1467-9892.2006.00496.x
Integer‐Valued GARCH Process
resolves10.1016/j.jmva.2010.11.002
Log-linear Poisson autoregression
resolves10.1038/s41591-020-0883-7
Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy
resolves10.2139/ssrn.3551006
Mathematical Recommendations to Fight Against COVID-19
resolves10.1016/S1473-3099(20)30144-4
Early dynamics of transmission and control of COVID-19: a mathematical modelling study
The 2 references without a DOI — listed, not checked
no DOI — not checkedImperial College COVID-19 Response Team (2020, April 30). Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID19 Mortality and Healthcare Demand. Available online: https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf.
no DOI — not checkedWorld Health Organisation (2020, April 30). Novel Coronavirus (2019-nCoV) Situation Reports. pp. 1–49. Available online: https://apps.who.int/iris/bitstream/handle/10665/330762/nCoVsitrep23Jan2020-eng.pdf.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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