Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr 22:9:678213.
doi: 10.3389/fpubh.2021.678213. eCollection 2021.

How Do Economic Fluctuations Affect the Mortality of Infectious Diseases?

Affiliations

How Do Economic Fluctuations Affect the Mortality of Infectious Diseases?

Ting-Ting Sun et al. Front Public Health. .

Abstract

This paper uses the mixed frequency vector autoregression model to explore the impact of economic fluctuations on infectious diseases mortality (IDM) from China perspective. We find that quarterly gross domestic product (GDP) fluctuations have a negative impact on the annual IDM, indicating that the mortality of infectious diseases varies counter-cyclically with the business cycle in China. Specifically, IDM usually increases with deterioration in economic conditions, and vice versa. The empirical results are consistent with the hypothesis I derived from the theoretical analysis, which highlights that economic fluctuations can negatively affect the mortality of infectious diseases. The findings can offer revelations for the government to consider the role of economic conditions in controlling the epidemic of infectious diseases. Policymakers should adopt appropriate and effective strategies to mitigate the potential negative effects of macroeconomic downturns on the mortality of infectious diseases. In the context of the COVID-19 pandemic, these analyses further emphasize the importance of promoting economic growth, increasing public health expenditure, and preventing and controlling foreign infectious diseases.

Keywords: China; counter-cyclically; economic fluctuations; infectious diseases mortality; mixed frequency vector autoregression model.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The change trends of GDPi, IDM and CDC. This figure presents the growth rates of GDP1, GDP2, GDP3, GDP4, IDM, and CDC from 1992 to 2019.
Figure 2
Figure 2
Impulse response functions of LF-VAR (4).
Figure 3
Figure 3
Impulse response functions based on MF-VAR (4).

References

    1. Liang H, Xiang X, Huang C, Ma H, Yuan Z. A brief history of the development of infectious disease prevention, control, and biosafety programs in china. J Biosaf Biosecurity. (2020) 2:23–6. 10.1016/j.jobb.2019.10.002 - DOI
    1. Verikios G. The Dynamic effects of infectious disease outbreaks: the case of pandemic influenza and human coronavirus. Socio Econ Plan Sci. (2020) 71:100898. 10.1016/j.seps.2020.100898 - DOI - PMC - PubMed
    1. Priyadarsini SL, Suresh M, Huisingh D. What can we learn from previous pandemics to reduce the frequency of emerging infectious diseases like COVID-19? Glob Transit. (2020) 2:202–220. 10.1016/j.glt.2020.09.003 - DOI - PMC - PubMed
    1. Wu Y, Li ZJ, Yu SC, Chen L, Wang JC, Yu Q, et al. Epidemiological characteristics of notifiable infectious diseases among foreign cases in China, 2004–2017. Biomed Environ Sci. (2020) 33:421–30. 10.3967/bes2020.057 - DOI - PMC - PubMed
    1. Johnson NPAS, Mueller J. Updating the accounts: global mortality of the 1918-1920 “spanish” influenza pandemic. Bull Hist Med. (2002) 76:105–15. 10.1353/bhm.2002.0022 - DOI - PubMed

Publication types