Dear Editor,
Cases of pneumonia had been reported globally (Chen et al., 2020) that were caused
by the novel coronavirus that is now known as COVID-19 (World Health Organization,
2020a). Many cases have resulted in death. There have been reported cases in 185 countries
and territories, including Italy (n=156,363), Iran (n=73,303) and South Korea (n=10,537)
in the end of April 12, 2020 (Dong et al., 2020). It took over three months to reach
the first 100 00 confirmed cases, 28 days to climb one million and only 13 days to
reach 2 millions. (World Health Organization, 2020b).
On 11 February 2020, the official names were announced for the virus responsible for
COVID-19 (previously known as “2019 novel coronavirus” or “2019-nCoV”) and the disease
it causes. The official name of the disease is coronavirus disease (COVID-19); the
virus itself is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
(World Health Organization, 2020a).
Currently, Google offers its Trends service, which acts as reverse data engineering
and allows data on users’ searches to be collected, which in this case is interest
in the COVID-19 epidemic. Google Trends (GT) data can be used to forecast the trends
of reporting new cases.
The methodology follows the principles presented by (Mavragani and Ochoa, 2019) that
describe how to select the appropriate keyword(s), region(s), period, and category.
Data is collected from GT and is normalized. High interest in a search query is expressed
by 100, whereas a lack of interest or insufficient data is expressed by 0. GT contains
data from different geographical locations that is segmented into countries, territories
and cities; it also allows a custom time range to be set.
Data was retrieved for the period starting 15 January 2020, as this was when relevant
data started appearing on GT. The data comes from a textual search with five geographical
settings: 1) worldwide, to see the global interest in coronaviruses; 2) China, where
there is currently the highest number of cases; 3) South Korea, where interest has
increased since 19 February because hundreds of new cases were reported; 4) Italy;
and 5) Iran, where since 22 February hundreds of new cases have been reported. Data
from GT related to interest in coronavirus was compared with confirmed reports of
new cases provided by WHO (World Health Organization, 2020b). The collected data relates
to the search topic: Coronavirus. This topic allows the popularity of all related
keywords across all available languages and regions to be compared (Kamiński et al.,
2019).
On Google Trends, the first wave of interest in coronavirus peaked on 31 January 2020.
This is measured globally for all GT data for the coronavirus search topic. Since
1 February, global interest has decreased even though the number of new cases reported
daily is increasing. In the first wave, the highest number of confirmed new cases
was on 5 February.
Figure 1
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.
Figure 1
Coronavirus reported cases and Google Trends data from 15 January to 12 April, 2020
in China, South Korea, Italy, Iran and Worldwide.
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 author declare that he has no known competing financial interests or personal
relationships that could have appeared to influence the work reported in this paper.