Dataset Information

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.

ABSTRACT: BACKGROUND:Cancer poses a serious threat to the health of Chinese people, resulting in a major challenge for public health work. Today, people can obtain relevant information from not only medical workers in hospitals, but also the internet in any place in real-time. Search behaviors can reflect a population's awareness of cancer from a completely new perspective, which could be driven by the underlying cancer epidemiology. However, such Web-retrieved data are not yet well validated or understood. OBJECTIVE:This study aimed to explore whether a correlation exists between the incidence and mortality of cancers and normalized internet search volumes on the big data platform, Baidu. We also assessed whether the distribution of people who searched for specific types of cancer differed by gender. Finally, we determined whether there were regional disparities among people who searched the Web for cancer-related information. METHODS:Standard Boolean operators were used to choose search terms for each type of cancer. Spearman's correlation analysis was used to explore correlations among monthly search index values for each cancer type and their monthly incidence and mortality rates. We conducted cointegration analysis between search index data and incidence rates to examine whether a stable equilibrium existed between them. We also conducted cointegration analysis between search index data and mortality data. RESULTS:The monthly Baidu index was significantly correlated with cancer incidence rates for 26 of 28 cancers in China (lung cancer: r=.80, P<.001; liver cancer: r=.28, P=.016; stomach cancer: r=.50, P<.001; esophageal cancer: r=.50, P<.001; colorectal cancer: r=.81, P<.001; pancreatic cancer: r=.86, P<.001; breast cancer: r=.56, P<.001; brain and nervous system cancer: r=.63, P<.001; leukemia: r=.75, P<.001; Non-Hodgkin lymphoma: r=.88, P<.001; Hodgkin lymphoma: r=.91, P<.001; cervical cancer: r=.64, P<.001; prostate cancer: r=.67, P<.001; bladder cancer: r=.62, P<.001; gallbladder and biliary tract cancer: r=.88, P<.001; lip and oral cavity cancer: r=.88, P<.001; ovarian cancer: r=.58, P<.001; larynx cancer: r=.82, P<.001; kidney cancer: r=.73, P<.001; squamous cell carcinoma: r=.94, P<.001; multiple myeloma: r=.84, P<.001; thyroid cancer: r=.77, P<.001; malignant skin melanoma: r=.55, P<.001; mesothelioma: r=.79, P<.001; testicular cancer: r=.57, P<.001; basal cell carcinoma: r=.83, P<.001). The monthly Baidu index was significantly correlated with cancer mortality rates for 24 of 27 cancers. In terms of the whole population, the number of women who searched for cancer-related information has slowly risen over time. People aged 30-39 years were most likely to use search engines to retrieve cancer-related knowledge. East China had the highest Web search volumes for cancer. CONCLUSIONS:Search behaviors indeed reflect public awareness of cancer from a different angle. Research on internet search behaviors could present an innovative and timely way to monitor and estimate cancer incidence and mortality rates, especially for cancers not included in national registries.

SUBMITTER: Xu C

PROVIDER: S-EPMC6371071 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.

Xu Chenjie C Wang Yi Y Yang Hongxi H Hou Jie J Sun Li L Zhang Xinyu X Cao Xinxi X Hou Yabing Y Wang Lan L Cai Qiliang Q Wang Yaogang Y

Journal of medical Internet research 20190129 1

<h4>Background</h4>Cancer poses a serious threat to the health of Chinese people, resulting in a major challenge for public health work. Today, people can obtain relevant information from not only medical workers in hospitals, but also the internet in any place in real-time. Search behaviors can reflect a population's awareness of cancer from a completely new perspective, which could be driven by the underlying cancer epidemiology. However, such Web-retrieved data are not yet well validated or u ...[more]

PMID: 30694203

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Project description:BACKGROUND:Adolescents and young adults in the age range of 13-24 years are at the highest risk of developing HIV infections. As social media platforms are extremely popular among youths, researchers can utilize these platforms to curb the HIV epidemic by investigating the associations between the discourses on HIV infections and the epidemiological data of HIV infections. OBJECTIVE:The goal of this study was to examine how Twitter activity among young men is related to the incidence of HIV infection in the population. METHODS:We used integrated human-computer techniques to characterize the HIV-related tweets by male adolescents and young male adults (age range: 13-24 years). We identified tweets related to HIV risk and prevention by using natural language processing (NLP). Our NLP algorithm identified 89.1% (2243/2517) relevant tweets, which were manually coded by expert coders. We coded 1577 HIV-prevention tweets and 17.5% (940/5372) of general sex-related tweets (including emojis, gifs, and images), and we achieved reliability with intraclass correlation at 0.80 or higher on key constructs. Bivariate and multivariate analyses were performed to identify the spatial patterns in posting HIV-related tweets as well as the relationships between the tweets and local HIV infection rates. RESULTS:We analyzed 2517 tweets that were identified as relevant to HIV risk and prevention tags; these tweets were geolocated in 109 counties throughout the United States. After adjusting for region, HIV prevalence, and social disadvantage index, our findings indicated that every 100-tweet increase in HIV-specific tweets per capita from noninstitutional accounts was associated with a multiplicative effect of 0.97 (95% CI [0.94-1.00]; P=.04) on the incidence of HIV infections in the following year in a given county. CONCLUSIONS:Twitter may serve as a proxy of public behavior related to HIV infections, and the association between the number of HIV-related tweets and HIV infection rates further supports the use of social media for HIV disease prevention.

Project description:BackgroundLower urinary tract symptoms (LUTS) are one of the most commonly described urination disorders worldwide. Previous investigations have focused predominantly on the prospective identification of cases that meet the researchers' criteria; thus, the genuine demands regarding LUTS from patients and related issues may be neglected.ObjectiveWe aimed to examine web-based search trends and behaviors related to LUTS on a national and regional scale by using the dominant, major search engine in mainland China.MethodsBaidu Index was queried by using LUTS-related terms for the period of January 2011 to September 2020. The search volume for each term was recorded to analyze search trends and demographic distributions. For user interest, user demand graph data and trend data were collected and analyzed.ResultsOf the 13 LUTS domains, 11 domains are available in the Baidu Index database. The Baidu search index for each LUTS domain varied from 37.78% to 1.47%. The search trends for urinary frequency (2011-2018: annual percent change APC=7.82%; P<.001), incomplete emptying (2011-2014: APC=17.74%; P<.001), nocturia (2011-2018: APC=11.54%; P<.001), dysuria (2017-2020: APC=20.77%; P<.001), and incontinence (2011-2016: APC=13.39%; P<.001) exhibited fluctuations over time. The search index trends for weak stream (2011-2017: APC=-4.68%; P<.001; 2017-2020: APC=9.32%; P=.23), split stream (2011-2013: APC=9.50%; P=.44; 2013-2020: APC=2.05%; P=.71), urgency (2011-2018: APC=-2.63%; P=.03; 2018-2020: APC=8.58%; P=.19), and nocturnal enuresis (2011-2018: APC=-3.20%; P=.001; 2018-2020: APC=-4.21%; P=.04) remained relatively stable and consistent. The age distribution of the population for all LUTS-related inquiries showed that individuals aged 20 to 40 years made 73.86% (49,218,123/66,635,247) of the total search inquiries. Further, individuals aged 40 to 49 years made 12.29% (8,193,922/66,635,247) of the total search inquiries for all LUTS-related terms. People from the east part of China made 67.79% (45,172,031/66,635,247) of the total search queries. Additionally, most of the searches for LUTS-related terms were related to those for urinary diseases to varying degrees.ConclusionsWeb-based interest in LUTS-related terms fluctuated wildly and was reflected timely by Baidu Index in mainland China. The web-based search popularity of each LUTS-related term varied significantly and differed based on personal interests, the population's concerns, regional variations, and gender. These data can be used by care providers to track the prevalence of LUTS and the population's interests, guide the establishment of disease-specific health care policies, and optimize physician-patient health care sessions.

Project description:BackgroundsCancer is one of the main causes of death worldwide, seriously threatening human health and life expectancy. We aimed to analyze the cancer incidence and mortality rates during 2016 in Zhejiang Province, Southeast China.MethodsData were collected from 14 population-based cancer registries across Zhejiang Province of China. Cancer incidence and mortality rates stratified by sex and region were analyzed. The crude rate, age-standardized rate, age-specific and region-specific rate, and cumulative rate were calculated. The proportions of 10 common cancers in different groups and the incidence and mortality rates of the top five cancers in different age groups were also calculated. The Chinese national census of 2000 and the world Segi population was used for calculating the age-standardized incidence and mortality rates.ResultsThe 14 cancer registries covered a population of 14,250,844 individuals, accounting for 29.13% of the population of Zhejiang Province. The total reported cancer cases and deaths were 55,835 and 27,013, respectively. The proportion of morphological verification (MV%) was 78.95% of the population, and percentage of incident cases identified through death certificates only (DCO%) was 1.23% with a mortality-to-incidence ratio (M/I ratio) of 0.48. The crude incidence rate in Zhejiang cancer registration areas was 391.80/105; the age-standardized incidence rate of the Chinese standard population (ASIRC) and the age-standardized incidence rate of the world standard population (ASIRW) were 229.76/105 and 220.96/105, respectively. The incidence rate in men was higher than that in women. The incidence rate increased rapidly after 45 years of age and peaked in individuals aged 80 to 84 years. The top 10 incidence rates of cancers were lung cancer, female breast cancer, thyroid cancer, colorectal cancer, stomach cancer, liver cancer, prostate cancer, cervical cancer, esophageal cancer, and pancreatic cancer (from highest to lowest). The crude mortality rate in Zhejiang cancer registration areas was 189.55/105; the age-standardized mortality rate of the Chinese standard population (ASMRC) and the age-standardized mortality rate of the world standard population (ASMRW) were 94.46/105 and 93.42/105, respectively. The mortality rate in men was higher than that in women, and the male population in rural areas was higher than that in urban areas. The cancer mortality rate increased rapidly after 50 years of age and peaked in individuals aged 85+ years. The top 10 mortality rates of cancers were lung cancer, liver cancer, stomach cancer, colorectal cancer, pancreatic cancer, esophageal cancer, female breast cancer, prostate cancer, lymphoma, and leukemia (from highest to lowest).ConclusionsLung cancer, female breast cancer, thyroid cancer, colorectal cancer, prostate cancer, liver cancer, and stomach cancer were the most common cancers in Zhejiang Province. Effective prevention and control measures should be established after considering the different characteristics of cancers in urban and rural areas.

Dataset Information

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.

Publications

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.

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