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.
The
https://
ensures that you are connecting to the
official website and that any information you provide is encrypted
and transmitted securely.
As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsement of, or agreement with,
the contents by NLM or the National Institutes of Health.
Learn more about our disclaimer.
presents the global, Chinese, South Korean, Italian and Iranian results compared to the number of new COVID-19 cases. GT data ends on April 11, 2020. The left axis shows normalized GT search volume. The right axis shows new COVID-19 cases on logarithmic scale (
World Health Organization, 2020a
). The data interval is one day.
The situation has changed since a rapid increase in cases was reported in South Korea, Italy and Iran. GT data reveals the rapid growth of the second wave of interest in coronavirus since 21 February 2020. This rising interest trend is observed worldwide and in the presented countries, where a rapid increase in cases of laboratory-confirmed COVID-19 has been reported since 21 February 2020 (
World Health Organization, 2020c
).
On Google Trends, the second wave of interest in coronavirus has last peak on 5 April 2020. This is measured globally for all GT data for the
coronavirus
search topic. Since 6 April, global interest has decreased even though the number of new cases reported daily is increasing. In the second wave, the highest number of confirmed new cases was on 11 April.
The key finding is that GT forecasted the rise of new cases. In first wave, new cases increased day-by-day for 6 days after the highest peak of GT worldwide interest. In the second wave, number of new cases also has risen day-by-day for 6 days after the last peak.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
-
Chen Y., Liu Q., Guo D. Emerging coronaviruses: genome structure, replication, and pathogenesis.
J. Med. Virol.
2020;
92
:418–423. doi: 10.1002/jmv.25681.
[
PMC free article
]
[
PubMed
] [
CrossRef
]
[
Google Scholar
]
-
Dong, E., Du, H., Gardner, L., 2020. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect. Dis. https://doi.org/10.1016/S1473-3099(20)30120-1.
[
PMC free article
]
[
PubMed
]
-
Kamiński M., Łoniewski I., Marlicz W. Global internet data on the interest in antibiotics and probiotics generated by Google Trends.
Antibiotics.
2019;
8
:147. doi: 10.3390/antibiotics8030147.
[
PMC free article
]
[
PubMed
] [
CrossRef
]
[
Google Scholar
]
-
Mavragani A., Ochoa G. Google trends in infodemiology and infoveillance: methodology framework.
J. Med. Internet Res.
2019;
21
doi: 10.2196/13439.
[
PMC free article
]
[
PubMed
] [
CrossRef
]
[
Google Scholar
]
-
World Health Organization, 2020a. Naming the coronavirus disease (COVID-2019) and the virus that causes it [WWW Document]. URL https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it (accessed 4.13.20).
-
World Health Organization, 2020b. Coronavirus disease (COVID-2019) situation reports [WWW Document]. URL https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports (accessed 4.13.20).
-
World Health Organization, 2020c. Joint WHO and ECDC mission in Italy to support COVID-19 control and prevention efforts [WWW Document]. URL http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/news/news/2020/2/joint-who-and-ecdc-mission-in-italy-to-support-covid-19-control-and-prevention-efforts (accessed 4.13.20).
Articles from
Brain, Behavior, and Immunity
are provided here courtesy of
Elsevier
