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

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...

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Autores principales: Xu, Chenjie, Wang, Yi, Yang, Hongxi, Hou, Jie, Sun, Li, Zhang, Xinyu, Cao, Xinxi, Hou, Yabing, Wang, Lan, Cai, Qiliang, Wang, Yaogang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371071/
https://www.ncbi.nlm.nih.gov/pubmed/30694203
http://dx.doi.org/10.2196/10677
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author Xu, Chenjie
Wang, Yi
Yang, Hongxi
Hou, Jie
Sun, Li
Zhang, Xinyu
Cao, Xinxi
Hou, Yabing
Wang, Lan
Cai, Qiliang
Wang, Yaogang
author_facet Xu, Chenjie
Wang, Yi
Yang, Hongxi
Hou, Jie
Sun, Li
Zhang, Xinyu
Cao, Xinxi
Hou, Yabing
Wang, Lan
Cai, Qiliang
Wang, Yaogang
author_sort Xu, Chenjie
collection PubMed
description 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.
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spelling pubmed-63710712019-02-27 Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study Xu, Chenjie Wang, Yi Yang, Hongxi Hou, Jie Sun, Li Zhang, Xinyu Cao, Xinxi Hou, Yabing Wang, Lan Cai, Qiliang Wang, Yaogang J Med Internet Res Original Paper 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. JMIR Publications 2019-01-29 /pmc/articles/PMC6371071/ /pubmed/30694203 http://dx.doi.org/10.2196/10677 Text en ©Chenjie Xu, Yi Wang, Hongxi Yang, Jie Hou, Li Sun, Xinyu Zhang, Xinxi Cao, Yabing Hou, Lan Wang, Qiliang Cai, Yaogang Wang. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.01.2019. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Original Paper
Xu, Chenjie
Wang, Yi
Yang, Hongxi
Hou, Jie
Sun, Li
Zhang, Xinyu
Cao, Xinxi
Hou, Yabing
Wang, Lan
Cai, Qiliang
Wang, Yaogang
Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study
title Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study
title_full Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study
title_fullStr Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study
title_full_unstemmed Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study
title_short Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study
title_sort association between cancer incidence and mortality in web-based data in china: infodemiology study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371071/
https://www.ncbi.nlm.nih.gov/pubmed/30694203
http://dx.doi.org/10.2196/10677
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