Literature DB >> 32430650

The Rising Number of COVID-19 Cases Reflecting Growing Search Trend and Concern of People: A Google Trend Analysis of Eight Major Countries.

Manik Sharma1, Samriti Sharma2.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32430650      PMCID: PMC7237226          DOI: 10.1007/s10916-020-01588-5

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


× No keyword cloud information.
The Corona-virus (2019-nCoV) is a kind of zoonotic virus that has been first proclaimed in Wuhan (China). By 10th April 2020, the pandemic (COVID-19) has infected more than one and a half million (1698881) people across the world. During the last couple of weeks a sharp surging trend (COVID-19 infection) has been recorded [1]. The community dissemination is a major cause behind this exponential growth. The substantial growth of this pandemic virus (COVID-19) has created a scary and stressful environment [2]. The consequence of the stress is so high that fear of infection forces the persons to suicide [3]. The key intention of this analysis is to highlight the escalating cases of COVID-19 and its refection in the growing search trend and concern of the people from 01st March to 10th April 2020. During this observation period, the worldwide COVID-19 infected cases have been raised from 88,585 to 1,698,881 (~1.7 million). The highest number of new cases (101736) have been observed on 3rd April. An average growth rate of 7.58% (new_cases>70,000) has been witnessed. As of 10th March, the growth in the global contaminated cases has been intensified. Moreover, in the last five days of this study, 349,830 new cases have been appended. Likewise, the mortality rate has also skyrocketed over this time, which is badly affecting the mental state and immunity of the humans. Similar statistics of eight major countries (United States, Spain, Italy, France, United Kingdom, China, Iran, and India) have also been accessed (Table 1). Among these countries, an unexpected growth has been witnessed in both infected and fatal cases. The impacts of COVID-19 are on the peak for United States, Spain, Italy and France. Due to the momentous population density, Indians are frightened of mass destruction [4]. .
Table 1

Statistics of COVID-19 [1]

CountryNumber of Infected CasesNumber of Fatalities
On 01st March 2020On 10th April 2020On 01st March 2020On 10th April 2020
United States75502,8760118,747
Spain84158,2730016,081
Italy1701147,5774118,849
France130124,8690213,197
United Kingdom3673,758008958
China80,02681,95329123339
Iran97868,192544232
India03760000249
Statistics of COVID-19 [1] Additionally, the COVID-19 fear and concern have been well reflected on Google searches and the same can be validated through Google wave of interest. The Google trend of these eight countries for the term ‘COVID-19’ has also been explored. The trend value reflects the people’s interest in the searched item. The highest and lowest rates of search interest on the Google wave are represented by 100 and 0 respectively (Fig. 1).
Fig. 1

Google Trend (COVID-19)

Google Trend (COVID-19) The waves of the Google interest have been raised over the observed period (01st March to 10th April). The increased Google trend implicitly represents the folk’s state of distress, despair, and concern for this pandemic. A sharp increase in the trend has been observed from 10th march to 10th April 2020. During the observation period, a series of high values could be observed on the Google wave of interest of United States, Spain, Italy, France, United Kingdom, China, Iran, and India. For United States, 23rd and 27th March 2020 represents the peaked searches on the Google wave of interest. The average value of the Google interest for two different phases i.e.(01st January to 29th February) and (01st March to 10th April) have also been computed. The mean values for first and second phase of United States, Spain, Italy, France, United Kingdom, China, Iran and India are (0.78, 66.46), (0.81, 60.85), (1.65, 56.68), (1.15, 52.78), (1.03, 59.41), (9.86, 44.29), (1.28, 23.19) and (0.04, 39.78) respectively. Additionally, the correlation rate between the total COVID-19 contaminated cases of countries (United States, Spain, Italy, France, United Kingdom, China, Iran and India) and their corresponding Google trend values are (0.37, 0.58, 0.52, 0.28, 0.26, 0.49, 0.60 and 0.61) respectively. A positive correlation between the number of infected cases and the Google trend values have been recorded for eight major countries. The correlation value is higher for Spain, Iran and India. The Google trend can be further mined to determine the least and most infected regions of the countries. To avoid the massive increase of psychological disorders, there is a need to access the mental state of COVID-19 afflicted individuals [5]. Based upon the high wave of interest in the regions, the semantic analysis of the searches can be carried out to find the prevalence of psychological impacts and the need of psychological intervention (behaviour and cognitive) for mental health problems during and after this pandemic. This would help in delivering therapeutic assistance to improve psychological resilience and to boost immunity of the COVID afflicted, suspected and infected victims [6].
  5 in total

1.  A chaotic and stressed environment for 2019-nCoV suspected, infected and other people in India: Fear of mass destruction and causality.

Authors:  Samriti Sharma; Manik Sharma; Gurvinder Singh
Journal:  Asian J Psychiatr       Date:  2020-04-05

2.  The differential psychological distress of populations affected by the COVID-19 pandemic.

Authors:  Jie Zhang; Huipeng Lu; Haiping Zeng; Shining Zhang; Qifeng Du; Tingyun Jiang; Baoguo Du
Journal:  Brain Behav Immun       Date:  2020-04-15       Impact factor: 7.217

3.  Self-harm and COVID-19 Pandemic: An emerging concern - A report of 2 cases from India.

Authors:  Swapnajeet Sahoo; Seema Rani; Shaheena Parveen; Ajay Pal Singh; Aseem Mehra; Subho Chakrabarti; Sandeep Grover; Cheering Tandup
Journal:  Asian J Psychiatr       Date:  2020-04-16

Review 4.  Using psychoneuroimmunity against COVID-19.

Authors:  Sung-Wan Kim; Kuan-Pin Su
Journal:  Brain Behav Immun       Date:  2020-03-29       Impact factor: 7.217

5.  2019-nCoV pandemic: A disruptive and stressful atmosphere for Indian academic fraternity.

Authors:  Ritu Gautam; Manik Sharma
Journal:  Brain Behav Immun       Date:  2020-04-11       Impact factor: 7.217

  5 in total
  7 in total

1.  Impact of Breast Cancer Awareness Month on Public Interest in the United States between 2012 and 2021: A Google Trends Analysis.

Authors:  Yoshito Nishimura; Jared D Acoba
Journal:  Cancers (Basel)       Date:  2022-05-21       Impact factor: 6.575

2.  Assessing self-medication for obstructive airway disease during COVID-19 using Google Trends.

Authors:  Sabina Sahanic; Anna Boehm; Alex Pizzini; Thomas Sonnweber; Magdalena Aichner; Guenter Weiss; Judith Loeffler-Ragg; Ivan Tancevski
Journal:  Eur Respir J       Date:  2020-11-19       Impact factor: 16.671

Review 3.  Dental Care in Times of the COVID-19 Pandemic: A Review.

Authors:  Erfan Shamsoddin; Lisa M DeTora; Marcos Roberto Tovani-Palone; Barbara E Bierer
Journal:  Med Sci (Basel)       Date:  2021-02-19

4.  Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management.

Authors:  Aizat Hilmi Zamzam; Ayman Khallel Ibrahim Al-Ani; Ahmad Khairi Abdul Wahab; Khin Wee Lai; Suresh Chandra Satapathy; Azira Khalil; Muhammad Mokhzaini Azizan; Khairunnisa Hasikin
Journal:  Front Public Health       Date:  2021-11-17

5.  Assessing the online search behavior for COVID-19 outbreak: Evidence from Iran.

Authors:  Mahnaz Samadbeik; Ali Garavand; Nasim Aslani; Farzad Ebrahimzadeh; Farhad Fatehi
Journal:  PLoS One       Date:  2022-07-26       Impact factor: 3.752

Review 6.  Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review.

Authors:  Tobias Saegner; Donatas Austys
Journal:  Int J Environ Res Public Health       Date:  2022-09-29       Impact factor: 4.614

7.  A public survey of traditional, complementary and integrative medicine use during the COVID-19 outbreak in Hong Kong.

Authors:  Chun Sing Lam; Ho Kee Koon; Vincent Chi-Ho Chung; Yin Ting Cheung
Journal:  PLoS One       Date:  2021-07-01       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.