Internet search data could Be used as novel indicator for assessing COVID-19 epidemic

Li, Kang; Liang, Yantao; Li, Jianjun; Liu, Meiliang; Feng, Yi; Shao, Yiming

doi:10.1016/j.idm.2020.10.001

Cited by 11 publications

(6 citation statements)

References 33 publications

(36 reference statements)

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“…Early detect the epidemic in a certain area was critical to control the further spread and to support the public health authority making decision. The previous studies focused on the early warning of COVID-19 mainly used wastewater-based viral RNA surveillance [5][6][7][8] and web-based search query data [9][10][11][12][13][14][15][16][17] . Sewage surveillance of SARS-CoV-2 RNA has been suggested as an early warning tool for alerting the circulation in communities [5][6][7][8] .…”

mentioning

confidence: 99%

The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19

Ruan,

Huang,

Zhou

et al. 2023

Sci Rep

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Internet search data was a useful tool in the pre-warning of COVID-19. However, the lead time and indicators may change over time and space with the new variants appear and massive nucleic acid testing. Since Omicron appeared in late 2021, we collected the daily number of cases and Baidu Search Index (BSI) of seven search terms from 1 January to 30 April, 2022 in 12 provinces/prefectures to explore the variation in China. Two search peaks of “COVID-19 epidemic”, “Novel Coronavirus” and “COVID-19” can be observed. One in January, which showed 3 days lead time in Henan and Tianjin. Another on early March, which occurred 0–28 days ahead of the local epidemic but the lead time had spatial variation. It was 4 weeks in Shanghai, 2 weeks in Henan and 5–8 days in Jilin Province, Jilin and Changchun Prefecture. But it was only 1–3 days in Tianjin, Quanzhou Prefecture, Fujian Province and 0 day in Shenzhen, Shandong Province, Qingdao and Yanbian Prefecture. The BSI was high correlated (rs:0.70–0.93) to the number of cases with consistent epidemiological change trend. The lead time of BSI had spatial and temporal variation and was close related to the strength of nucleic acid testing. The case detection ability should be strengthened when perceiving BSI increase.

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confidence: 99%

The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19

Ruan,

Huang,

Zhou

et al. 2023

Sci Rep

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“…A year ago, every aspiring individual worldwide wanted to mitigate the effects and spread of the ongoing COVID-19 (SARS-CoV-2) pandemic. The COVID-19 news reporting spread rate even exceeds the extension rate of the worldwide COVID-19 news series [ 20 ]. The distinctive, age-related transmission, morbidity, and fatality patterns observed worldwide increase the level of uncertainty inherent in health emergencies [ 7 ].…”

Section: Resultsmentioning

confidence: 99%

Efficacy of limited antiviral treatment, testing, hospitalization, and social distancing for COVID-19 pandemic

Hasan¹,

Ahmed²,

Urmy³

2021

Sensors International

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The control measures of a pandemic must be cautiously evaluated, especially when resources are “limited”. A model of COVID-19 transmission dynamics is applied to assess the impact of antiviral treatment, testing, hospitalization, and social distancing. Under the assumption of “unlimited” resources, five control strategies involving social distancing, testing, hospitalization, and antiviral treatment are tested. Then these “optimal” policies are sought in the case of limited resources on behalf of a COVID-19 pandemic scenario. The amplitude of peak epidemics will often be minimized by executing strategies from the beginning of a pandemic, spreading the epidemics’ greatest impact over a longer time frame. Therefore, the timing and potency of control measures can reduce the pressure on the system during the top of the epidemic through the pandemic, decreasing the pressure on the healthcare infrastructure. In case of limited access to antiviral supplies, the role of testing, hospitalization, and social distancing strategies is emphasized in this study.

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“…Mathematical models and projections in relation to climate and geographical change, environment, humanitarian disasters, and global health play a critical role in producing evidence in response to every viral outbreak such as Ebola, MERS, SARS, and currently SARS CoV-2, and in eliminating chronic infections such as viral Hepatitis, HIV, and Tuberculosis. Many researchers have recently investigated the current scenario of SARS CoV-2 in greater detail using the effects of fractional order models, reaction diffusion systems, and complex networks [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] , [41] , [42] , [43] , [44] , effect of lock-down [45] , [46] and predicted different control strategies [47] , [48] , [49] , [50] , [51] , [52] , [53] , [54] . Impact of isolation disobedience and movement restrictions on CoV-19 pandemic has been studied by Stipic et al [55] and mathematical model of CoV-19 disease on the basis of latency and age structure has been considered by Blyuss and Kyrychko [56] .…”

Section: Introductionmentioning

confidence: 99%

Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect

Basu¹,

Kumar²,

Santra

et al. 2022

Alexandria Engineering Journal

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This study presents an optimal control strategy through a mathematical model of the Covid-19 outbreak without lock-down. The pandemic model analyses the lock-down effect without control strategy based on the current scenario of second wave data to control the rapid spread of the virus. The pandemic model has been discussed with respect to the basic reproduction number and stability analysis of disease-free and endemic equilibrium. A new optimal control problem with treatment is framed to minimize the vulnerable situation of the second wave. This system is applied to study the effects of vaccines and treatment controls. Numerical solutions and the graphical presentation of the results predict the fate of India’s second wave situation on account of the control strategy. Lastly, a comparative study with control and without control has been analysed for the exposed phase, infective phase, and recovery phase to understand the effectiveness of the controls. This model is used to estimate the total number of infected and active cases, deaths, and recoveries in order to control the disease using this system and studying the effects of vaccines and treatment controls.

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Internet search data could Be used as novel indicator for assessing COVID-19 epidemic

Cited by 11 publications

References 33 publications

The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19

The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19

Efficacy of limited antiviral treatment, testing, hospitalization, and social distancing for COVID-19 pandemic

Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect

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