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      COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study

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          Abstract

          Background

          COVID-19 is one of the biggest pandemics in human history, along with other disease pandemics, such as the H1N1 influenza A, bubonic plague, and smallpox pandemics. This study is a small contribution that tries to find contrasted formulas to alleviate global suffering and guarantee a more manageable future.

          Objective

          In this study, a statistical approach was proposed to study the correlation between the incidence of COVID-19 in Spain and search data provided by Google Trends.

          Methods

          We assessed the linear correlation between Google Trends search data and the data provided by the National Center of Epidemiology in Spain—which is dependent on the Instituto de Salud Carlos III—regarding the number of COVID-19 cases reported with a certain time lag. These data enabled the identification of anticipatory patterns.

          Results

          In response to the ongoing outbreak, our results demonstrate that by using our correlation test, the evolution of the COVID-19 pandemic can be predicted in Spain up to 11 days in advance.

          Conclusions

          During the epidemic, Google Trends offers the possibility to preempt health care decisions in real time by tracking people's concerns through their search patterns. This can be of great help given the critical, if not dramatic need for complementary monitoring approaches that work on a population level and inform public health decisions in real time. This study of Google search patterns, which was motivated by the fears of individuals in the face of a pandemic, can be useful in anticipating the development of the pandemic.

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          Most cited references32

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          Detecting influenza epidemics using search engine query data.

          Seasonal influenza epidemics are a major public health concern, causing tens of millions of respiratory illnesses and 250,000 to 500,000 deaths worldwide each year. In addition to seasonal influenza, a new strain of influenza virus against which no previous immunity exists and that demonstrates human-to-human transmission could result in a pandemic with millions of fatalities. Early detection of disease activity, when followed by a rapid response, can reduce the impact of both seasonal and pandemic influenza. One way to improve early detection is to monitor health-seeking behaviour in the form of queries to online search engines, which are submitted by millions of users around the world each day. Here we present a method of analysing large numbers of Google search queries to track influenza-like illness in a population. Because the relative frequency of certain queries is highly correlated with the percentage of physician visits in which a patient presents with influenza-like symptoms, we can accurately estimate the current level of weekly influenza activity in each region of the United States, with a reporting lag of about one day. This approach may make it possible to use search queries to detect influenza epidemics in areas with a large population of web search users.
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            COVID-19 control in China during mass population movements at New Year

            The outbreak of novel coronavirus disease 2019 (COVID-19) continues to spread rapidly in China. 1 The Chinese Lunar New Year holiday, the start of which coincided with the emergence of COVID-19, is the most celebratory time of the year in China, during which a massive human migration takes place as individuals travel back to their hometowns. People in China are estimated to make close to 3 billion trips over the 40-day travel period, or Chunyun, of the Lunar New Year holiday. 2 About 5 million people left Wuhan, 3 the capital city of Hubei province and epicentre of the COVID-19 epidemic, before the start of the travel ban on Jan 23, 2020. About a third of those individuals travelled to locations outside of Hubei province. 4 Limiting the social contacts of these individuals was crucial for COVID-19 control, because patients with no or mild symptoms can spread the virus. 5 Government policies enacted during the Chinese Lunar New Year holiday are likely to have helped reduce the spread of the virus by decreasing contact and increasing physical distance between those who have COVID-19 and those who do not. As part of these social distancing policies, the Chinese Government encouraged people to stay at home; discouraged mass gatherings; cancelled or postponed large public events; and closed schools, universities, government offices, libraries, museums, and factories.6, 7, 8, 9, 10 Only limited segments of urban public transport systems remained operational and all cross-province bus routes were taken out of service. As a result of these policies and public information and education campaigns, Chinese citizens started to take measures to protect themselves against COVID-19, such as staying at home as far as possible, limiting social contacts, and wearing protective masks when they needed to move in public. Social distancing has been effective in past disease epidemics, curbing human-to-human transmission and reducing morbidity and mortality.11, 12, 13, 14, 15, 16, 17 A single social distancing policy can cut epidemic spread, but usually multiple such policies—including more restrictive measures such as isolation and quarantine—are implemented in combination to boost effectiveness. For example, during the 1918–19 influenza pandemic, the New York City Department of Health enforced several social distancing policies at the same time, including staggered business hours, compulsory isolation, and quarantine, which likely led to New York City suffering the lowest death rate from influenza on the eastern seaboard of the USA. 17 During the current outbreak of COVID-19, government officials and researchers were concerned that the mass movement of people at the end of the Lunar New Year holiday on Jan 31, 2020, would exacerbate the spread of COVID-19 across China. Moreover, individuals typically return from their Lunar New Year holiday after only 1 week, which is shorter than the longest suspected incubation period of the disease. 18 Many of the 5 million people who left Wuhan before the travel ban was put into place 3 could still have been latently infected when their holiday ended. This situation, together with the resumed travel activities, would make it difficult to contain the outbreak. Facing these concerns, the Chinese Government extended the Lunar New Year holiday. The holiday end date was changed to March 10 for Hubei province 19 and Feb 9 for many other provinces, so that the duration of the holiday would be sufficiently long to fully cover the suspected incubation period of COVID-19.20, 21, 22 In addition, people diagnosed with COVID-19 were isolated in hospitals. In Wuhan, where the largest number of infected people live, those with mild and asymptomatic infection were also quarantined in so-called shelter or “Fang Cang” hospitals, which are public spaces such as stadiums and conference centres that have been repurposed for medical care. Finally, the Chinese Government encouraged and supported grassroots activities for routine screening, contact tracing, and early detection and medical care of COVID-19 patients, and it promoted hand washing, surface disinfection, and the use of protective masks through social marketing and media. As a result of the extended holiday and the additional measures, many people with asymptomatic infection from Hubei province who had travelled to other provinces remained in their homes until they developed symptoms, at which point they received treatment. It is this home-based quarantine of people who had been to the epicentre of the epidemic and travelled to other locations in China that is likely to have been especially helpful in curbing the spread of the virus to the wider community. © 2020 Kevin Frayer/Stringer/Getty Images 2020 Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. There are several lessons that can be drawn from China's extension of the Lunar New Year holiday. First, countries facing potential spread of COVID-19, or a similar outbreak in the future, should consider outbreak-control “holidays” or closure periods—ie, periods of recommended or mandatory closure of non-essential workplaces and public institutions—as a first-line social distancing measure to slow the rate of transmission. Second, governments should tailor the design of such outbreak-control closure periods to the specific epidemic characteristics of the novel disease, such as the incubation period and transmission routes. Third, a central goal of an outbreak-control closure period is to prevent people with asymptomatic infections from spreading the disease. As such, governments should use the closure period for information and education campaigns, community screening, active contact tracing, and isolation and quarantine to maximise impact. Such a combination approach is also supported by studies of responses to previous outbreaks, which showed that reductions in the cumulative attack rate were more pronounced when social distancing policies were combined with other epidemic control measures to block transmission. 23 As for COVID-19 in China, this combination of an outbreak-control closure period for social distancing and a range of accompanying epidemic control measures seems to have prevented new infections, especially in provinces other than Hubei, where new infections have been declining for more than 2 weeks. 1 As fearsome and consequential as the COVID-19 outbreak has been, China's vigorous, multifaceted response is likely to have prevented a far worse situation. Future empirical research will establish the full impact of the social distancing and epidemic control policies during the extended Chinese Lunar New Year holiday. As travel and work slowly resume in China, the country should consider at least partial continuation of these policies to ensure that the COVID-19 outbreak is sustainably controlled.
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              WHO coronavirus disease (COVID-19) dashboard

              (2025)

                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                December 2020
                18 December 2020
                18 December 2020
                : 22
                : 12
                : e23518
                Affiliations
                [1 ] Instituto de Salud Carlos III Information and Communication Technologies Unit Madrid Spain
                [2 ] Instituto de Salud Carlos III National Epidemiology Centre Madrid Spain
                [3 ] Faculty of Psychology Universidad Nacional de Educación a Distancia Madrid Spain
                [4 ] Instituto de Salud Carlos III Telemedicine and Digital Health Research Unit Madrid Spain
                Author notes
                Corresponding Author: Miguel A Santed msanted@ 123456psi.uned.es
                Author information
                https://orcid.org/0000-0002-8283-4062
                https://orcid.org/0000-0001-5241-9725
                https://orcid.org/0000-0002-3753-4511
                https://orcid.org/0000-0002-8776-4489
                Article
                v22i12e23518
                10.2196/23518
                7757783
                33156803
                147d0ad5-752d-4d41-8075-9fef79335d37
                ©Alberto Jimenez Jimenez, Rosa M Estevez-Reboredo, Miguel A Santed, Victoria Ramos. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.12.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 14 August 2020
                : 23 August 2020
                : 13 September 2020
                : 26 October 2020
                Categories
                Original Paper
                Original Paper

                Medicine
                behavioral epidemiology,big data,smart data,tracking,nowcasting,forecast,predict,infosurveillance,infodemiology,covid-19

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