COVID-19 under-reporting: spillovers and stringent containment strategies of global cases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A101343" target="_blank" >RIV/60460709:41110/24:101343 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/s11123-024-00741-3.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/s11123-024-00741-3.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11123-024-00741-3" target="_blank" >10.1007/s11123-024-00741-3</a>
Alternative languages
Result language
angličtina
Original language name
COVID-19 under-reporting: spillovers and stringent containment strategies of global cases
Original language description
Due to the rapid spread of the COVID-19 pandemic, accurately determining the true global infection count has become an extremely challenging task. In this context, our study explores the spatial spillover analysis of COVID-19 cases and assesses the impact of containment policy stringency on these spillovers. Furthermore, we examine the extent of under-reporting of COVID-19 cases at the country level. To account for diverse spatial dependencies, we employ a semiparametric spatial autoregressive model, in which the coefficients are smooth, unknown functions of countries' stringency indices. Country-specific under-reporting, modeled as a one-sided deterministic function of exogenous variables, is estimated using the sieves method. Our analysis relies on COVID-19 infection data from 57 countries, which span from 2020 to 2021. We find that spillovers vary significantly across different levels of containment stringency. In addition, the true number of infections is estimated to be 1.72 to 5.73 times higher than the reported cases. These results align with previous research and have important policy implications for improving the precision of COVID-19 reporting and managing spillover effects more effectively.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF PRODUCTIVITY ANALYSIS
ISSN
0895-562X
e-ISSN
0895-562X
Volume of the periodical
neuvedeno
Issue of the periodical within the volume
neuvedeno
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
20
Pages from-to
1-20
UT code for WoS article
001348781600001
EID of the result in the Scopus database
2-s2.0-85208125329