![]() Google Trends, Baidu Index, and Sina Weibo Index During the COVID-19 pandemic, we found 7 articles published from up to May 2020 that raised the possibility of predicting the development of the disease ( Table 1). In recent years, the number of different search engines that deal with infodemiology-“which studies the determinants and distribution of health information for public health purposes” -are increasing, and Google Trends is being tested as a useful tool for tracking social trends. ![]() In our study, behavioral factors were summarized through Google searches and then used as a correlation variable to identify patterns in the evolution of epidemics. Within the discipline of behavioral epidemiology, there are articles that study fear in the development of epidemics (eg, Epstein et al study ). Furthermore, Ginsberg et al found a high correlation between the pattern of web search queries and the percentage of patients with influenza-like symptoms, thereby confirming that at specific points in time, Google Trends can detect influenza expansion 1 or 2 weeks earlier than the Centers for Disease Control and Prevention. Gunther Eysenbach is a pioneer in terms of conducting studies on the use of Google Trends in health approaches. Google Trends offers a new approach for potentially predicting changes in the pandemic by tracking individuals' concerns through their searches. Many models recently developed by infectious disease scientists …and The Reich Lab …] can produce vastly different predictions as they are constructed based on various assumptions that may not be close to reality (such as the actual level of compliance with social distancing may be much higher than what is assumed in the model, or the infection rates can vary across different regions and groups of people, which cannot be easily captured by any model). Predicting the potential spread of a pandemic like COVID-19 is difficult because we do not have many epidemiological data, such as the transmission mechanism, the contagiousness of the virus, or its mutation patterns, as well as other complex human factors, such as the level of compliance with social distancing measures. In a study by Chu and Qureshi, they state the following: Furthermore, such information can even be useful in preparing for possible future COVID-19 waves and other pandemics. This information can help us understand the evolution of COVID-19 and how it affects our health. As a consequence, developing a forecasting tool to predict the spread of the epidemic has become critical. ![]() Spain has the fifth highest number of detected COVID-19 cases in the world, behind the United States, Brazil, Russia, and the United Kingdom. At 7 months after the epidemic outbreak in March 2020, we are close to reaching 1 million deaths worldwide. The epidemiological characteristics of COVID-19, such as its high transmissibility capacity, virulence, and presence in asymptomatic carriers or those showing only mild symptoms, have yet to be fully understood. Subsequently, the World Health Organization declared the COVID-19 outbreak as a pandemic on Ma. The first reported case of a SARS-CoV-2 infection appeared in late 2019. During the 2020 Chinese Lunar New Year, massive measures for reducing the spread of the new COVID-19 disease were first enacted by authorities in China.
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