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The online competition between pro- and anti-vaccination views 期刊论文
NATURE, 2020, 582 (7811) : 230-+
作者:  Wu, Fan;  Zhao, Su;  Yu, Bin;  Chen, Yan-Mei;  Wang, Wen;  Song, Zhi-Gang;  Hu, Yi;  Tao, Zhao-Wu;  Tian, Jun-Hua;  Pei, Yuan-Yuan;  Yuan, Ming-Li;  Zhang, Yu-Ling;  Dai, Fa-Hui;  Liu, Yi;  Wang, Qi-Min;  Zheng, Jiao-Jiao;  Xu, Lin;  Holmes, Edward C.;  Zhang, Yong-Zhen
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/03

Insights into the interactions between pro- and anti-vaccination clusters on Facebook can enable policies and approaches that attempt to interrupt the shift to anti-vaccination views and persuade undecided individuals to adopt a pro-vaccination stance.


Distrust in scientific expertise(1-14) is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks(2-4), as happened for measles in 2019(5,6). Homemade remedies(7,8) and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice(9-11). There is a lack of understanding about how this distrust evolves at the system level(13,14). Here we provide a map of the contention surrounding vaccines that has emerged from the global pool of around three billion Facebook users. Its core reveals a multi-sided landscape of unprecedented intricacy that involves nearly 100 million individuals partitioned into highly dynamic, interconnected clusters across cities, countries, continents and languages. Although smaller in overall size, anti-vaccination clusters manage to become highly entangled with undecided clusters in the main online network, whereas pro-vaccination clusters are more peripheral. Our theoretical framework reproduces the recent explosive growth in anti-vaccination views, and predicts that these views will dominate in a decade. Insights provided by this framework can inform new policies and approaches to interrupt this shift to negative views. Our results challenge the conventional thinking about undecided individuals in issues of contention surrounding health, shed light on other issues of contention such as climate change(11), and highlight the key role of network cluster dynamics in multi-species ecologies(15).


  
Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior 期刊论文
SCIENCE, 2019, 365 (6456) : 882-+
作者:  Ganna, Andrea;  Verweij, Karin J. H.;  Nivard, Michel G.;  Maier, Robert;  Wedow, Robbee;  Busch, Alexander S.;  Abdellaoui, Abdel;  Guo, Shengru;  Sathirapongsasuti, J. Fah;  Lichtenstein, Paul;  Lundstrom, Sebastian;  Langstrom, Niklas;  Auton, Adam;  Harris, Kathleen Mullan;  Beecham, Gary W.;  Martin, Eden R.;  Sanders, Alan R.;  Perry, John R. B.;  Neale, Benjamin M.;  Zietsch, Brendan P.;  Agee, M.;  Alipanahi, B.;  Auton, A.;  Bell, R. K.;  Bryc, K.;  Elson, S. L.;  Fontanillas, P.;  Furlotte, N. A.;  Hicks, B.;  Huber, K. E.;  Jewett, E. M.;  Jiang, Y.;  Kleinman, A.;  Lin, K. -H.;  Litterman, N. K.;  McCreight, J. C.;  McIntyre, M. H.;  McManus, K. F.;  Mountain, J. L.;  Noblin, E. S.;  Northover, C. A. M.;  Pitts, S. J.;  Poznik, G. D.;  Shastri, A. J.;  Shelton, J. F.;  Shringarpure, S.;  Tian, C.;  Tung, J. Y.;  Vacic, V.;  Wang, X.;  Wilson, C. H.
收藏  |  浏览/下载:28/0  |  提交时间:2019/11/27
Responses of PM2.5 pollution to urbanization in China 期刊论文
ENERGY POLICY, 2018, 123: 602-610
作者:  Wang, Xiaomin;  Tian, Guanghui;  Yang, Dongyang;  Zhang, Wenxin;  Lu, Debin;  Liu, Zhongmei
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09
PM2.5  Urbanization  Clean energy  Environmental Kuznets Curve  
Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing 期刊论文
ENERGY POLICY, 2018, 117: 173-183
作者:  Zhang, Pengpeng;  Zhang, Lixiao;  Tian, Xin;  Hao, Yan;  Wang, Changbo
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/09
Energy transition  De-coal  Air pollution  China  
Drivers of stagnating global carbon intensity of electricity and the way forward 期刊论文
ENERGY POLICY, 2018, 113: 149-156
作者:  Goh, Tian;  Ang, B. W.;  Su, Bin;  Wang, H.
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Global electricity production  Carbon intensity of electricity  Index decomposition analysis  LMDI