Cancer screenings during the COVID-19 pandemic: An analysis of public interest trends

Greiner, Ben; Tipton, Shelby; Nelson, Blessie Elizabeth; Hartwell, Micah

doi:10.1016/j.currproblcancer.2021.100766

Cited by 17 publications

(16 citation statements)

References 6 publications

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“… 2 The effects of this are presumed to extend far beyond the initial peaks of the pandemic, as predictive modeling has suggested that delays in breast cancer screening, diagnosis, and treatment will lead to increases in subsequent breast cancer mortality over the ensuing decade. 3 …”

Section: Introductionmentioning

confidence: 99%

Breast reconstruction during the COVID-19 pandemic: Single institution experience from the pandemic's epicenter in the United States

Boyd

Hemal

Ramesh

et al. 2022

Journal of Plastic, Reconstructive & Aesthetic Surgery

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Section: Introductionmentioning

confidence: 99%

Breast reconstruction during the COVID-19 pandemic: Single institution experience from the pandemic's epicenter in the United States

Boyd

Hemal

Ramesh

et al. 2022

Journal of Plastic, Reconstructive & Aesthetic Surgery

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“…Google Trends has been widely used to measure people's interest in certain issues [13], [14]. In previous research, Google Trends was used to predict a particular event or analyze the impact of an event, especially in the field of health on public interest in a particular issue [15]- [19]. In case of COVID-19, Google Trends has been utilized to monitor public interest related COVID-19, COVID-19 vaccine, and COVID-19 vaccine misinformation topic.…”

Section: Introductionmentioning

confidence: 99%

The impact of the basic dose of the COVID-19 vaccine and the number of COVID-19 patients on Google searches for vaccines

Sandyawan¹,

Kurniawan²,

Hulu

et al. 2023

IJPHS

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Indonesia has distributed the COVID-19 vaccinations to its people starting from January 2021 based on certain priorities to deal with COVID-19 pandemic. News of deaths after the COVID-19 vaccination has made some people hesitate to get vaccinated. This study aims to depict the pattern and determinant of public interest in COVID-19 vaccine information using Google Trends data. The pattern can be used as a suggestion to the government to conduct a campaign on the COVID-19 vaccine. Several topics related to the COVID-19 vaccine were collected from Google Trends and then clustered by the province using K-Means. By total within sum of square, best number of clusters is two. Then, a logistic regression analysis was done with cluster as response variable to find out what factors made people interested in the COVID-19 vaccine topic. As a result, percentage of people who received the first dose of the COVID-19 vaccine and the rate of COVID-19 patients who were treated had influenced public interest in the COVID-19 vaccine. Hence, the campaign must be transparent so that the public can see both the good and bad effects of vaccination. It will help to reduce the number of people dying after receiving vaccinations.

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“…As a result, the maximum query share of a search phrase for a given period is normalized to 100, reflecting the point when the search was at its most popular. In conclusion, on a scale of 0–100, Google Trends calculates relative search interest (RSI), with 100 reflecting peak interest [ 25 ]. Ref.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Modeling and Forecasting Cancer Incidence and Mortality Rates through Web Queries and Automated Forecasting Algorithms: Evidence from Romania

Tudor

2022

Biology

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Cancer remains a leading cause of worldwide mortality and is a growing, multifaceted global burden. As a result, cancer prevention and cancer mortality reduction are counted among the most pressing public health issues of the twenty-first century. In turn, accurate projections of cancer incidence and mortality rates are paramount for robust policymaking, aimed at creating efficient and inclusive public health systems and also for establishing a baseline to assess the impact of newly introduced public health measures. Within the European Union (EU), Romania consistently reports higher mortality from all types of cancer than the EU average, caused by an inefficient and underfinanced public health system and lower economic development that in turn have created the phenomenon of “oncotourism”. This paper aims to develop novel cancer incidence/cancer mortality models based on historical links between incidence and mortality occurrence as reflected in official statistics and population web-search habits. Subsequently, it employs estimates of the web query index to produce forecasts of cancer incidence and mortality rates in Romania. Various statistical and machine-learning models—the autoregressive integrated moving average model (ARIMA), the Exponential Smoothing State Space Model with Box-Cox Transformation, ARMA Errors, Trend, and Seasonal Components (TBATS), and a feed-forward neural network nonlinear autoregression model, or NNAR—are estimated through automated algorithms to assess in-sample fit and out-of-sample forecasting accuracy for web-query volume data. Forecasts are produced with the overperforming model in the out-of-sample context (i.e., NNAR) and fed into the novel incidence/ mortality models. Results indicate a continuation of the increasing trends in cancer incidence and mortality in Romania by 2026, with projected levels for the age-standardized total cancer incidence of 313.8 and the age-standardized mortality rate of 233.8 representing an increase of 2%, and, respectively, 3% relative to the 2019 levels. Research findings thus indicate that, under the no-change hypothesis, cancer will remain a significant burden in Romania and highlight the need and urgency to improve the status quo in the Romanian public health system.

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Cancer screenings during the COVID-19 pandemic: An analysis of public interest trends

Cited by 17 publications

References 6 publications

Breast reconstruction during the COVID-19 pandemic: Single institution experience from the pandemic's epicenter in the United States

Breast reconstruction during the COVID-19 pandemic: Single institution experience from the pandemic's epicenter in the United States

The impact of the basic dose of the COVID-19 vaccine and the number of COVID-19 patients on Google searches for vaccines

A Novel Approach to Modeling and Forecasting Cancer Incidence and Mortality Rates through Web Queries and Automated Forecasting Algorithms: Evidence from Romania

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