Analysis of COVID-19 Epidemic Characteristics Based on Big Data and Discussion on Coping Countermeasures

Abstract

Background: Since January 2020, COVID-19 has spread globally to more than 210 countries, and the epidemic lasted for more than 11 months. Scientists have studied many effective prevention and control strategies. Based on real-time big data on COVID-19 pneumonia captured by the Baidu App, our study aimed to analyse the characteristics of the COVID-19 pandemic in 10 epicentre countries. It also aimed to discuss the impact of politics, economy, and humanities on COVID-19 as well as effective strategies of prevention and control the epidemic. Methods: Based on the real-time big data report of the new coronavirus pneumonia epidemic in Baidu APP, collected from January 27 to December 22, 2020. Incidence and death data in the world and China, India, Europe UK, Italy, France, Spain, Russia, America Brazil, the United States, Mexico were collected.1 Excel 2016 was used to build a database and performed linear fitting analysis, R3.6.3 and ggplot2 package was used for descriptive statistical analysis. Current status and trends of morbidity and mortality in the world and epicenter countries were analyze. Findings: To December 22, 2020, in the recent 5 days, the top two incidence cases were America with 1,079,385 cases, and the United Kingdom with 197,037 cases; the bottom two were China with 507 cases, and Mexico 48,416 cases. The top two mortality cases were America with 12,180 cases, and Brazil with 3,500 cases; the bottom two were China 7 Cases, and Spain 664 cases. The top two incidence rates were in America 0.3303%, and the United Kingdom 0.2959%;the bottom two were in China 0.0000%,and India 0.0097%.The top two mortality rates were in Italy 0.0044%, and the United Kingdom 0.0042%;the bottom two were in China 0.0000%,and India 0.0001%.From January 27 to December 22, 2020,The top two cumulative confirmed cases were in America with 18,494,265 cases, and India with 10,094,801 cases; the bottom two were China 95,998 cases, and Mexico 1,325,915 cases. The top two incidence rate were America 5.6597%,and Spain 3.9442%;the bottom two were China 0.0069%, and India 0.7624%.The top two mortality cases were America with 327,171 cases, and Brazil with 187,322 cases; the bottom two were China with 4,773 cases, and Spain with 49,260 cases. The top two mortality rates were Italy 0.1144%,and Spain 0.1062%;the bottom two were China 0.0003%,and India 0.0111%.Compared with the global cumulative incidence rate general trend (κ=0.0141), there are significant differences between America (κ=0.0716), Brazil (κ=0.0579), Spain (κ=0.0547), and China (κ=4E-05). Compared with the global incidence rate in recent trend (κ=0.0283), there are obvious differences between America (κ=0.2962), Italy (κ=0.2171), France (κ=0.1840), and China (κ=1E-05).Compared with the global cumulative mortality general trend (κ=0.0003), there are significant differences between Brazil (κ=0.0016),America and Mexico (κ=0.0015), Spain and the United Kingdom (κ=0.0014), Italy (κ=0.0013), and China (κ=3E-06).Compared with the global incidence rate in recent trend (κ=0.0006), there are significant differences between Italy (κ=0.0048), France (κ=0.0037), America (κ=0.0033), and China (κ=E-07). Interpretation: The lives of people in India, the United States and most of epicenter countries in European and American are suffering from grave damage. The mutation of Coronavirus has made the already serious epidemic worse. The current epidemic situation in the epicenter country and the mutation of Coronavirus also pose a serious threat to the lives of people in the non-epicenter country. It is urgent to construct a new anti-epidemic strategy based on aseptic technology to end the devastation caused by Coronavirus to human beings. Funding Statement: The Key Projects of Research and Development of Hainan Province (No.: ZDYF2020109) Declaration of Interests: We declare no competing interests.