Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China

Strzelecki, Artur; Rizun, Mariia

doi:10.3991/ijoe.v16i04.13531

Cited by 37 publications

(41 citation statements)

References 26 publications

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“…7]. Lack of interest in general public ( [43,48]) could be associated with a low epidemiological awareness of average Poles, especially when COVID-19 pandemic is massively discussed in traditional and social media by a relatively small but loud group of people. Figure 11.…”

Section: Discussionmentioning

confidence: 99%

Perception of Emergent Epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet

2020

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Section: Discussionmentioning

confidence: 99%

Perception of Emergent Epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet

2020

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“…30 By February 8, with 24 affected countries, the WHO response included collaboration with various stakeholders of society, from specific sectors such as financial, agricultural, touristic and academic entities to the general public, a task in which the role of social networks has been central. 31,32 On February 9, in its daily report, the WHO announced that projects aimed at updating health personnel protection measures, a field data collection tool and translation of available materials on the outbreak into several languages were underway. 33 Epidemiological estimators for Covid-19 have varied as new information has become available; however, the basic reproduction index calculations remain positive, with incubation periods ranging from two to 14 days.…”

Section: Characterization Of the Pneumonia Epidemic Of Unknown Etiologymentioning

confidence: 99%

From the handling of an outbreak by an unknown pathogen in Wuhan to the preparedness and response in the face of the emergence of Covid-19 in Mexico

López-Ortiz¹,

López-Ortiz²,

Mendiola-Pastrana³

et al. 2023

GMM

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On December 31, 2019, the Chinese health authorities informed the international community, through the mechanisms established by the World Health Organization (WHO), of a pneumonia epidemic of unknown etiology in Wuhan, Hubei Province. The first cases were reported early in that month and were linked to a history of having visited a market where food and live animals are sold. On January 7, 2020, isolation and identification of the culprit pathogen was achieved using next-generation sequencing, while the number of affected subjects continued to rise. The publication of full-genomes of the newly identified coronavirus (initially called 2019-nCoV, now called SARS-CoV2) in public and private databases, of standardized diagnostic protocols and of the clinical-epidemiological information generated will allow addressing the Public Health Emergency of International Concern (PHEIC), declared on January 30 by the WHO. With this document, we intend to contribute to the characterization of the pneumonia epidemic, now designated coronavirus disease review the strengths Mexico has in the global health concert and invite health professionals to join the preparedness and response activities in the face of this emergency. KEY WORDS: New coronavirus. SARS-CoV2. Covid-19. Mexico. De la atención de un brote por un patógeno desconocido en Wuhan hasta la preparación y respuesta ante la posible emergencia del 2019-nCoV en MéxicoResumen El 31 de diciembre de 2019, las autoridades chinas de salud informaron a la comunidad internacional, a través de los mecanismos establecidos por la Organización Mundial de la Salud (OMS), de una epidemia de neumonía con etiología desconocida en Wuhan, provincia de Hubei. Los primeros casos se notificaron a inicios de ese mes y se vincularon al antecedente de visitar un mercado de comida y animales vivos. El 7 de enero de 2020 se logró el aislamiento y reconocimiento del patógeno responsable mediante secuenciación de siguiente generación, mientras el número de afectados continuaba en ascenso. La publicación de genomas completos del nuevo coronavirus identificado (inicialmente denominado 2019-nCoV, ahora designado SARS-CoV2) en bases de datos públicas y privadas, de protocolos diagnósticos estandarizados y de la información clínica epidemiológica generada permitirá atender la Emergencia de Salud Pública de Importancia Internacional (ESPII) declarada el 30 de enero por la OMS. Con este documento pretendemos aportar a la caracterización de la epidemia de neumonía, ahora llamada enfermedad por coronavirus , revisar las fortalezas que tiene México en el concierto de la salud global e invitar a los profesionales de la salud a incorporarse a las actividades de preparación y respuesta ante esta emergencia.

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“…Strzelecki (2020) use Google Trends on the COVID-19. The BLUEDOT agency in Canada combines AI technology, big data analysis, and infectious disease expert experiences, the final prediction results are then manually evaluated and revised by experts, and the prediction results can be accurate [38].…”

Section: Introductionmentioning

confidence: 99%

Forecasting and Analysis of Time Variation of Parameters of COVID-19 Infection in China Using An Improved SEIR Model

Zhang

Pang

Xue

et al. 2020

Preprint

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Background: Due to the emergency pandemic threat, the COVID-19 has attracted widespread attention around the world. Common symptoms of infection were fever, cough, and myalgia fatigue. On January 31, 2020, the World Health Organization (WHO) declares this outbreak a Public Health Emergency of International Concern (PHEIC).Methods: In order to study the spread of the novel coronavirus pneumonia, this paper proposed an improved SEIR model to simulate the spread of the virus, which includes the effect factor of government intervention. The model parameters are determined based on the daily reported statistical data (up to February 8) of confirmed, suspected, cured, and death. According to utilize the spread rate, the probability of infection of the suspected, the probability of the suspected becoming a confirmed one, the cure rate, the mortality rate, and the quarantine ratio, we performed simulations and parameter calibrations at three region levels, i.e., China, Hubei and non-Hubei respectively. In addition, considering that the government initiated effective prevention and control measures after the outbreak, this paper dynamically estimates all the parameters of the proposed model. Results:The simulation reveals that the parameters of non-Hubei region are not significantly different from Hubei's. Hubei Province has a high transmission rate, low cure rate, high probability of infection, low effective quarantine rate. since January 31, with the continuous strengthening of epidemic prevention and control measures, all parameters of the model have changed significantly. The parameters of Hubei and non-Hubei regions have the same trend. The trend of all parameters is now moving in a direction that is conducive to reducing the number of confirmed, suspected and fatal cases.Conclusions: The number of infections of the virus initially showed a rapid increase in the trend, and the number of infectious case showed a clear downward shape. With the government to take a variety of prevention and control measures and the efforts of the general medical staff, the number of infection curve on February 22 appeared in the top of the arc pattern, indicating that the inflection point began to appear, but the decline in the number of infections slowly.

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Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China

Cited by 37 publications

References 26 publications

Perception of Emergent Epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet

Perception of Emergent Epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet

From the handling of an outbreak by an unknown pathogen in Wuhan to the preparedness and response in the face of the emergence of Covid-19 in Mexico

Forecasting and Analysis of Time Variation of Parameters of COVID-19 Infection in China Using An Improved SEIR Model

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