Investigating the Cases of Novel Coronavirus Disease (COVID-19) in China Using Dynamic Statistical Techniques
13 Pages Posted: 23 Mar 2020
Date Written: March 23, 2020
Background: The initial investigation by local hospital attributed the outbreak of the novel coronavirus disease (COVID-19) to pneumonia unknown cause that appeared like the severe acute respiratory syndrome (SARS) that occurred in 2003. The World Health Organization has declared COVID-19 as public health emergency after it spread outside China to numerous countries.
Methods: We collected daily data on four health indicators namely deaths, confirmed cases, suspected cases, and recovered cases across 31 Provinces/States in China. We developed both time series and panel data to construct conceptual tools that examine the nexus between death from COVID-19 and confirmed cases. Due to the complexities of the COVID-19, we investigated the unobserved factors including environmental exposures accounting for the disease spread through human-to-human transmission. We use estimation methods capable of controlling for cross-sectional dependence, endogeneity, and unobserved heterogeneity. We predict the impulseresponse between confirmed cases of COVID-19 and COVID-19-attributable deaths.
Results: Our study reveals that the effect of confirmed cases on the novel coronavirus attributable deaths is heterogeneous across Provinces / States in China. We find a linear relationship between COVID-19 attributable deaths and confirmed cases whereas a nonlinear relationship is confirmed for the nexus between recovery cases and confirmed cases. The empirical evidence reveals that an increase in confirmed cases by 1% increases coronavirus attributable deaths by ~0.10% to ~1.71% (95% CI).
Conclusions: Our empirical results confirmed the presence of unobserved heterogeneity and common factors that facilitates the novel coronavirus attributable deaths caused by increased levels of confirmed cases. Yet, the role of such a medium that facilitates the transmission of COVID-19 remains unclear. We highlight safety precaution and preventive measures to circumvent the human-to-human transmission.
Note: Funding Information: No funding received.
Competing Interest Declaration: Authors declare no competing interest.
Keywords: COVID-19; novel coronavirus disease; Cases of Novel Coronavirus; modelling COVID-19
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