225 10 20655 https://www.socictopen.socict.org/files/original/220b4da19ec341f355937d76ba5fd0cb.pdf 669344169fdf03403f0bd4bc0d2690d6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Avoidance behaviors and negative psychological responses in the general population in the initial stage of the H1N1 pandemic in Hong Kong Creator An entity primarily responsible for making the resource Choi Kai, Griffiths Sian, Lau Joseph TF, Tsui Hi Description An account of the resource Abstract Background During the SARS pandemic in Hong Kong, panic and worry were prevalent in the community and the general public avoided staying in public areas. Such avoidance behaviors could greatly impact daily routines of the community and the local economy. This study examined the prevalence of the avoidance behaviors (i.e. avoiding going out, visiting crowded places and visiting hospitals) and negative psychological responses of the general population in Hong Kong at the initial stage of the H1N1 epidemic. Methods A sample of 999 respondents was recruited in a population-based survey. Using random telephone numbers, respondents completed a structured questionnaire by telephone interviews at the 'pre-community spread phase' of the H1N1 epidemic in Hong Kong. Results This study found that 76.5% of the respondents currently avoided going out or visiting crowded places or hospitals, whilst 15% felt much worried about contracting H1N1 and 6% showed signs of emotional distress. Females, older respondents, those having unconfirmed beliefs about modes of transmissions, and those feeling worried and emotionally distressed due to H1N1 outbreak were more likely than others to adopt some avoidance behaviors. Those who perceived high severity and susceptibility of getting H1N1 and doubted the adequacy of governmental preparedness were more likely than others to feel emotionally distressed. Conclusions The prevalence of avoidance behaviors was very high. Cognitions, including unconfirmed beliefs about modes of transmission, perceived severity and susceptibility were associated with some of the avoidance behaviors and emotional distress variables. Public health education should therefore provide clear messages to rectify relevant perceptions. Date A point or period of time associated with an event in the lifecycle of the resource 2010 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2334-10-139 Source A related resource from which the described resource is derived BMC Infectious Diseases Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases Language A language of the resource EN https://www.socictopen.socict.org/files/original/d438bf13c0655c28a9f6b53140e80d9e.pdf 3c2581e46aa51c4feef4add1528cb04e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Abstracts from the 8th International Congress of the Asia Pacific Society of Infection Control (APSIC) Creator An entity primarily responsible for making the resource Nantanit Sutthiruk, Mari Botti, Julie Considine, Andrea Driscoll, Ana Hutchinson, Kumthorn Malathum, Cucunawangsih Cucunawangsih, Veronica Wiwing, Vivien Puspitasari, Rathina Kumar Shanmugakani, Yukihiro Akeda, Takuya Kodera, Pitak Santanirand, Kazunori Tomono, Takayuki Yamanaka, Hiroyuki Moriuchi, Hiroyuki Kitajima, Yuho Horikoshi, Alyona Lavrinenko, Ilya Azizov, Nurlan Tabriz, Margulan Kozhamuratov, Yekatherine Serbo, Dahae Yang, Woonhyoung Lee, Il Kwon Bae, Jae-Hyun Lee, Hyukmin Lee, Jung Ok Kim, Seok Hoon Jeong, Kyungwon Lee, Thiba Peremalo, Priya Madhavan, Sharina Hamzah, Leslie Than, Eng Hwa Wong, Mohd Nasir Mohd Desa, Kee Peng Ng, Marionne Geronimo, Maria Fe Tayzon, Maria Jesusa Maño, Angela Chow, Pei-Yun Hon, Mar Kyaw Win, Brenda Ang, Yee Sin Leo, Tina See, Rocio Alvarez-Marin, Marta Airesde-Sousa, Nicolas Kieffer, Patrice Nordmann, Laurent Poirel, Wison Laochareonsuk, Sireekul Petyu, Pawin Wanasitchaiwat, Sutasinee Thana, Chollathip Bunyaphongphan, Woranan Boonsomsuk, Pakpoom Maneepongpermpoon, Silom Jamulitrat, Dorairajan Sureshkumar, Kalyanaraman Supraja, Soundararajan Sharmila, Benny Setiawan, Nicolaski Lumbuun, Haruo Nakayama, Toshiko Ota, Naoko Shirane, Chikako Matuoka, Kentaro Kodama, Masanobu Ohtsuka, Silverose Ann Andales Bacolcol, Melecia Velmonte, Allan Alde, Keithleen Chavez, Arlene Joy Esteban, Aisa Jensen Lee, Tai-Chin Hsieh, Shio-Shin Jean, Huey-Jen Huang, Shu-Ju Huang, Yu-Huan Huang, Pei-Chen Cheng, Su-Fang Yu, Shih-Ming Tsao, Yuan-Ti Lee, Chien-Feng Li, Min-Chi Lu, Nattapol Pruetpongpun, Thana Khawcharoenporn, Pansachee Damronglerd, Nuntra Suwantarat, Anucha Apisarnthanarak, Sasinuch Rutjanawech, Lisa Cushinotto, Patty McBride, Harding Williams, Hans Liu, Phan Thi Hang, Dinh Pham Phuong Anh, Ngai Le, Dung Khu, Lam Nguyen, Roel Beltran Castillo, Ram Gopalakrishnan, Venkatasubramanian Ramasubramanian, Subramanian Sreevidya, Ranganathan Jayapradha, Atsushi Umetsu, Tetsuhiro Noda, Kenyuu Hashimoto, Akihiro Hayashi, Mikie Kabashima, Ursula Jadczak, Knut Elvelund, Marit Johnsen, Bente Borgen, Egil Lingaas, Chia-Hua Mao, Fu-Chieh Chang, Chang-Pan Liu, Ru-Hui Chao, Junpen Pawapotako, Chadanan Prasertpan, Wantanee Malaihuan, Phisit Uirungroj, Chalermpong Saenjum, Teerapat Ouirungrog, Sue Borrell, Pauline Bass, Leon Worth, Zhao Xian-li, LI Xiaolong, Yao Xue-hua, Ren Wei, Zhang Xia Zeng, Man Ying Kong, Christopher Koon Chi Lai, Suet Yi Lee, Ngai-chong Tsang, M. M. O’Donoghue, M.V. Boost, L. K. P. Suen, G. K. Siu, K. W. Mui, C. K. C. Lai, D. N. C. Tsang, Yuka Sato, Mariko Tateishi, Mutsuko Mihashi, Jose Paulo Flor, Marko Bautista, V. Jay De Roxas, Justine Vergara, Nicolo Andrei Añonuevo, Marion Kwek, Jose Acuin, Anna Josea Sanchez, Avel Bathan, Jamilah Binte Jantan, Chua Chor Guek, Eu Chiow Kian, Pampe Anak Pirido, Nur Fadilah Binte Mohd Aron, Leah May Estacio, Francis Alvarez Palana, Michelle Gracia, Nur Syafiqah Binte Shamsuddin, Kersten Timbad Castro, Madonna Baloria, Faezah Binte Adam, Zhang Wei, Poh Bee Fong, Marimuthu Kalisvar, I-Ju Chuang, Yi-ChunCho, Yu-Fen Chiu, Lung-Chih Chen, Yi-Chun Lin, Shao-Xing Dong, Yi-Chieh Lee, Hui-Chen Kuan, Hsin-Hua Lin, Chia-Chun Chi, Chin-Te Lu, Tang Ya-Fen, Su Li-Hsiang, Liu Jien-Wei, Hsuehlan Chao, PinRu ChangChien, Weifang Chen, Chung-Hsu Lai, Lutfe Ara, Syed Mohammad Niaz Mowla, Shaikh Mahmud Kamal Vashkar, Wai-Fong Chan, Mabel Yin ChunYau, Karen Kam LingChong, Tze OnLi, Rajwinder Kaur, Ng Po Yan, Gloria Chor Shan Chiu, Christina W. Y. Cheung, Patricia T. Y. Ching, Radley H. C. Ching, Conita H. S. Lam, C. H. Kan, Shirley S. Y. Lee, C.P Chen, Regina F. Y. Chan, Annie F. Y. Leung, Isadora L. C. Wong, S. S. Lam, Queenie W. L. Chan, Cecilia Chan, Seyed Sadeq Seyed Nematian, Charles John Palenik, Mehrdad Askarian, Nahid Hatam, Itaru Nakamura, Hiroaki Fujita, Ayaka Tsukimori, Takehito Kobayashi, Akihiro Sato, Shinji Fukushima, Tetsuya Matsumoto, V. James De Roxas, Yeng May Ho, Jia Qi Kum, Bee Fong Poh, Kalisvar Marimuthu, Tzu-Yin Liu, Sin-Man Chu, Hui-Zhu Chen, Tun-Chieh Chen, Yi Chun Chen, Ya-Ching Tsao, Sumawadee Skuntaniyom, Pirawadee Tipluy, Sangwan Paengta, Ratchanee wongsaen, Sutthiphun thanomphan, Samettanet Tariyo, Buachan Thongchuea, Pattama Khamfu, Sutthiphan Thanomphan, Wipaporn Natalie Songtaweesin, Suvaporn Anugulruengkit, Rujipat Samransamruajkit, Darintr Sosothikul, Ornanong Tansrijitdee, Anry Nakphunsung, Patchareeyawan Srimuan, Jirachaya Sophonphan, Thanyawee Puthanakit, Kunyanut Payuk, Wilawan Picheansathian, Nongkran Viseskul, Elizabeth DeNardo, Rachel Leslie, Todd Cartner, Luciana Barbosa, Heinz-Peter Werner, Florian H. H. Brill, Julia Yaeko Kawagoe, Sarah Edmonds- Wilson, David Macinga, Patricia Mays-Suko, Collette Duley, Tran Thi Thuy Hang, Tran Thi My Hanh, Christopher Gordon, Roopa Durairaj, Anusha Rohit, Saujanya Saravanakumar, Jothymani Hemalatha, Ryuichi Hirano, Yuichi Sakamoto, Shoji Yamamoto, Naoki Tachibana, Miho Miura, Fumiyo Hieda, Yoshiro Sakai, Hiroshi Watanabe, Silverose Ann Bacolcol, Keitleen Chavez, Jia-Wei Lim, Aung-Aung Hein, Grace Tin, Vanessa Lim, Huwi-Chun Chao, Chiu-Yin Yeh, Mei-feng Lo, Chonlada Piwpong, Songyos Rajborirug, Ploypailin Preechawetchakul, Yada Pruekrattananapa, Tharntip Sangsuwan, Sungwan Paengta, Napatnun Nilchon, Sutthipun Thanompan, Samattanet Tariyo, Svetlana Kolesnichenko, Yerbol Tishkambayev, Asylkhan Alibecov, Yekaterina Serbo, Youngwon Nam, Jae-hyeon Park, Yun Ji Hong, Taek Soo Kim, Jeong-Su Park, Kyoung Un Park, Eui Chong Kim, Samuel Abumhere Aziegbemhin, Onaiwu Enabulele, Yao-Shen Tung, An-Chi Chen, Shen-Min Huang, Yui-Yein Yang, Li-Hung Wu, Chin-Cheng Lin, Tzu Hao Lien, Jia-Hao Chang, Yu-Shan Huang, Yi-Shun Chen, Sasithorn Sirilun, Phisit Ouirungroj, Suwanna Trakulsomboon, Patcharee Prasajak, Maryanne W. N. Kwok, Lady S. H. Ng, Lindy M. T. Wong, Lenina S. L. Poon, Mary K. L. Lai, Holly H. S. Cheng, S. K. Fong, Cindy F. Y. Leung, Jumpei Hasegawa, Hiroki Shirakawa, Sachiko Wakai, Makiko Mieno, Shuji Hatakeyama, Manu Deeudom, Prasit Tharavichitkul, Terrence Chinniah, Jackson Tan, Kavitha Prabu, Sartaj Alam, Aung Kyaw Wynn, Rashidah Ahmad, Amalina Sidek, Dg Azizah Samsuddin, Noraini Ajis, Aliyah Ahmad, Susylawathi Magon, Boon Chu, Jiqiu Kuang, Yan Gao, Shoujun Wang, Yunxiao Hao, Rong Liu, Dongmei LI, Hui Wang, Hisanori Nishio, Hitomi Mori, Yoshiko Morokuma, Takaaki Yamada, Makiko Kiyosuke, Sachie Yasunaga, Kazuhiro Toyoda, Nobuyuki Shimono, Dmitriy Babenko, Anar Turmuhambetova, Antonella Cheşcă, Mark A. Toleman, Lyudmila L. Akhmaltdinova, Mark Albert Magsakay, Angelo Macatibag, Jeannica Kriselle Lerios, Alyona Lavrineko, Dmitry Babenko, Eugene Sheck, Mikhail Edelstein, Lih-Yue Li, Chiung-Wen Chan, Hui-Chuan Pan, Wipa Vanishakije, Warisra Jaikampun, Su-Yin Li, Jianfeng Li, Yuping Wu, Chiao-Hui Lin, Ping-Chin Chang, Samatanet Tariyo, Suttsiphan Thanompan, Suchada Sukkra, Khalequ Zaman, Sheikh Farzana Zaman, Farzana Zaman, Asma AZIZ, Sayeed-Bin Faisal, Magali Traskine, Javier Ruiz Guiñazú, Dorota Borys, Wendy Wai Yee Lam, May Chow, Lucy Choy, Joseph Kam, Sharifah Azura Salleh, Razila Yacob, Siti Rokiah Yusof, Nordiah Awang Jalil, Maria Lourdes Millan, Jose Lito Acuin, Melecia A. Velmonte, Silverose Ann A. Bacolcol, Ching-I Ting, Sunisa Dissayasriroj, Terrence Rohan Chinniah, Jauharatud DiniSuhaimi, Aizzuddin Mirasin, Nurul Morni, Azizah Samsuddin, Amalina AbuBakar, Amanie Shafiee, Julaini Safar, Leung Annie, Fung Yuk Ling, Lau Edna, Luk Kristine, Satoshi Shinomiya, Kumiko Yamamoto, Kayoko Kjiwara, Mitsuhiro Yamaguchi, Wei Zhang, Ming-Chin Chan, Chih-Chien Wang, Huan-Yu Huang, Chiung-Ling Lai, Sajeerat Kosol, Wantana Sakolwirat, Patchanee Paepong, Sawalee Jansanga, Pattarin Jaisamoot, Nuttha Thongnuanual, Chittima Srithong, Somporn Somsakul, Sutima Plongpunth, Mukkapon Punpop, Porntip Malathum, Kulada Peautiwat, Nattawipa Boonkirdram, Pimpaporn Klunklin, Geetha Samethadka, Naoko Suzuki, Hitomi Asada, Masao Katayama, Atsushi Komano, Hidehiro Watanabe, Hye Kyung Seo, Joo-Hee Hwang, Myoungjin Shin, Su Young Kim, Eu Suk Kim, Kyoung-Ho Song, Hong Bin Kim, Lai-Si Un, Choi-Ian Vong, Jocelyn Koh, Sherly Agustinus, Rozita Bte Abu Hassan, Yin Phyu Thinn, Benjamin Ng, Soe Pyae Tun, Su Mon Thi Ha, Xue Xiaoting, Lin Li, Leyland Chuang, Attanayaka Mudiyanselage Chulani Niroshika, Kaluarachchige Anoma Kaluarachchi Perera, Dimingo Kankanamalage Diana Grace Fernando, Bodhipakshage Rohini Hemamala, Hui-Chun Yang, Hsiang-Ju Chiu, Ya-Ling Shih, Yu-Shan Chien, Wan-Yi Lin, Chia-Yun Pan, Ying-Yun Chang, Chiu-Yuch Yea, Ming-Hsien Chu, Li-Chu Lee, Lin Yu-Hsiu, Guo Siao-Pei, Leung Pak-On, Sie Mei-Fe, Chen Jyh-Jou, Chang Yong-Yuan, Shu-Yuan Kuo, Yu-Hsiu Lin, Ji-sheng Zhang, Pak-on Leung, Mei-Fe Sie, Jyh-Jou Chen, Yan-ru Chen, Ying-Ling Chen, Chi-Fen Taou, Hsiao-Shan Chen, Hung-Jen Tang, Shin-Yu Chen, Yin-Yin Chen, Fu-Der Wang, Tzu-Ping Shih, Chin-Yu Chen, Su-Jung Chen, Mei-chi Wu, Wanju Yang, Mei-ling Chou, Man-Ling Yu, Li-Chu Li, Cheng-Wei Chu, Wen-Hao Tsou, Wen-Chih Wu, Wen-Chi Cheng, Cho-Ching Sun, Shu-Hua Lu, Hsin-Ling Yang, Chengyu Lu, Nitchawan Hirunprapakorn, Sirilux Apivanich, Ttipakorn Pornmee, Chonnikarnt Beowsomboon, Itthaporn Kumkoom, Nongyao Kasatpibal, Jittaporn Chitreecheur, JoAnne D. Whitney, Surasak Saokaew, Kirati Kengkla, Margaret M. Heitkemper, Thanomvong Muntajit, Siriluk Apivanich, Hang Thi Phan, Anh Pham Phuong Dinh, Tuyet Thi Kim Nguyen Date A point or period of time associated with an event in the lifecycle of the resource 2017 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13756-017-0176-1 Source A related resource from which the described resource is derived Antimicrobial Resistance and Infection Control Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases Language A language of the resource EN https://www.socictopen.socict.org/files/original/301ccdf8475aef9f6207cf7ce5adc24a.pdf 22b5db1bab21c2806239344353e3074b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Protein-Protein Interactions of Viroporins in Coronaviruses and Paramyxoviruses: New Targets for Antivirals? Creator An entity primarily responsible for making the resource Jaume Torres, Wahyu Surya, Yan LI, Ding Xiang Liu Description An account of the resource Viroporins are members of a rapidly growing family of channel-forming small polypeptides found in viruses. The present review will be focused on recent structural and protein-protein interaction information involving two viroporins found in enveloped viruses that target the respiratory tract; (i) the envelope protein in coronaviruses and (ii) the small hydrophobic protein in paramyxoviruses. Deletion of these two viroporins leads to viral attenuation in vivo, whereas data from cell culture shows involvement in the regulation of stress and inflammation. The channel activity and structure of some representative members of these viroporins have been recently characterized in some detail. In addition, searches for protein-protein interactions using yeast-two hybrid techniques have shed light on possible functional roles for their exposed cytoplasmic domains. A deeper analysis of these interactions should not only provide a more complete overview of the multiple functions of these viroporins, but also suggest novel strategies that target protein-protein interactions as much needed antivirals. These should complement current efforts to block viroporin channel activity. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Subject The topic of the resource coronavirus, envelope protein, Respiratory Syncytial Virus, small hydrophobic protein, cytoplasmic helical domains, protein-protein interactions Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v7062750 Source A related resource from which the described resource is derived Viruses Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/c33a4cf913a705c3976c767c13380980.pdf 3e51839fba4317648a8de28ab4c6d223 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Chaperna-Mediated Assembly of Ferritin-Based Middle East Respiratory Syndrome-Coronavirus Nanoparticles Creator An entity primarily responsible for making the resource Young-Seok Kim, Ahyun Son, Ji-Hoon Kim, Soon Bin Kwon, Myunghee Kim, Paul Kim, Ji-Eun Kim, Young Ho Byun, Jemin Sung, Jinhee Lee, Ji Eun Yu, Chan Park, Yeon Sook Kim, Nam-Hyuk Cho, Jun Chang, Baik L. Seong Description An account of the resource The folding of monomeric antigens and their subsequent assembly into higher ordered structures are crucial for robust and effective production of nanoparticle (NP) vaccines in a timely and reproducible manner. Despite significant advances in in silico design and structure-based assembly, most engineered NPs are refractory to soluble expression and fail to assemble as designed, presenting major challenges in the manufacturing process. The failure is due to a lack of understanding of the kinetic pathways and enabling technical platforms to ensure successful folding of the monomer antigens into regular assemblages. Capitalizing on a novel function of RNA as a molecular chaperone (chaperna: chaperone + RNA), we provide a robust protein-folding vehicle that may be implemented to NP assembly in bacterial hosts. The receptor-binding domain (RBD) of Middle East respiratory syndrome-coronavirus (MERS-CoV) was fused with the RNA-interaction domain (RID) and bacterioferritin, and expressed in Escherichia coli in a soluble form. Site-specific proteolytic removal of the RID prompted the assemblage of monomers into NPs, which was confirmed by electron microscopy and dynamic light scattering. The mutations that affected the RNA binding to RBD significantly increased the soluble aggregation into amorphous structures, reducing the overall yield of NPs of a defined size. This underscored the RNA-antigen interactions during NP assembly. The sera after mouse immunization effectively interfered with the binding of MERS-CoV RBD to the cellular receptor hDPP4. The results suggest that RNA-binding controls the overall kinetic network of the antigen folding pathway in favor of enhanced assemblage of NPs into highly regular and immunologically relevant conformations. The concentration of the ion Fe2+, salt, and fusion linker also contributed to the assembly in vitro, and the stability of the NPs. The kinetic “pace-keeping” role of chaperna in the super molecular assembly of antigen monomers holds promise for the development and delivery of NPs and virus-like particles as recombinant vaccines and for serological detection of viral infections. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource Nanoparticle, virus-like particle, Chaperone, ferritin, Middle East respiratory syndrome coronavirus, receptor-binding domain Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fimmu.2018.01093 Source A related resource from which the described resource is derived Frontiers in Immunology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Immunologic diseases. Allergy Language A language of the resource EN https://www.socictopen.socict.org/files/original/4a26d29824f351f61192ff9c180fdf98.pdf 3f63e84354ffeb8e581fe15f8572f68b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Gerbil: a fast and memory-efficient k-mer counter with GPU-support Creator An entity primarily responsible for making the resource Marius Erbert, Steffen Rechner, Matthias Müller-Hannemann Description An account of the resource Abstract Background A basic task in bioinformatics is the counting of k-mers in genome sequences. Existing k-mer counting tools are most often optimized for small k < 32 and suffer from excessive memory resource consumption or degrading performance for large k. However, given the technology trend towards long reads of next-generation sequencers, support for large k becomes increasingly important. Results We present the open source k-mer counting software Gerbil that has been designed for the efficient counting of k-mers for k ≥ 32. Our software is the result of an intensive process of algorithm engineering. It implements a two-step approach. In the first step, genome reads are loaded from disk and redistributed to temporary files. In a second step, the k-mers of each temporary file are counted via a hash table approach. In addition to its basic functionality, Gerbil can optionally use GPUs to accelerate the counting step. In a set of experiments with real-world genome data sets, we show that Gerbil is able to efficiently support both small and large k. Conclusions While Gerbil’s performance is comparable to existing state-of-the-art open source k-mer counting tools for small k < 32, it vastly outperforms its competitors for large k, thereby enabling new applications which require large values of k. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource k-mer counting, de novo assembly, Genome sequences, GPU computing, algorithm engineering Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13015-017-0097-9 Source A related resource from which the described resource is derived Algorithms for Molecular Biology Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Genetics Language A language of the resource EN https://www.socictopen.socict.org/files/original/b4c6b120937bf2bdea2fe4f2f8929555.pdf a35d457dbea4226d26af465c56573bfa Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Positional bias in variant calls against draft reference assemblies Creator An entity primarily responsible for making the resource Roman V. Briskine, Kentaro K. Shimizu Description An account of the resource Abstract Background Whole genome resequencing projects may implement variant calling using draft reference genomes assembled de novo from short-read libraries. Despite lower quality of such assemblies, they allowed researchers to extend a wide range of population genetic and genome-wide association analyses to non-model species. As the variant calling pipelines are complex and involve many software packages, it is important to understand inherent biases and limitations at each step of the analysis. Results In this article, we report a positional bias present in variant calling performed against draft reference assemblies constructed from de Bruijn or string overlap graphs. We assessed how frequently variants appeared at each position counted from ends of a contig or scaffold sequence, and discovered unexpectedly high number of variants at the positions related to the length of either k-mers or reads used for the assembly. We detected the bias in both publicly available draft assemblies from Assemblathon 2 competition as well as in the assemblies we generated from our simulated short-read data. Simulations confirmed that the bias causing variants are predominantly false positives induced by reads from spatially distant repeated sequences. The bias is particularly strong in contig assemblies. Scaffolding does not eliminate the bias but tends to mitigate it because of the changes in variants’ relative positions and alterations in read alignments. The bias can be effectively reduced by filtering out the variants that reside in repetitive elements. Conclusions Draft genome sequences generated by several popular assemblers appear to be susceptible to the positional bias potentially affecting many resequencing projects in non-model species. The bias is inherent to the assembly algorithms and arises from their particular handling of repeated sequences. It is recommended to reduce the bias by filtering especially if higher-quality genome assembly cannot be achieved. Our findings can help other researchers to improve the quality of their variant data sets and reduce artefactual findings in downstream analyses. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Reseqencing, Variants, polymorphisms, snps, Positional bias, Draft reference genome Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12864-017-3637-2 Source A related resource from which the described resource is derived BMC Genomics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics, Biotechnology Language A language of the resource EN https://www.socictopen.socict.org/files/original/f85868e4eba8d2ef38dc79aee6573753.pdf 77f2ee8a61c2d173cd0e12c9ab995dd5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling input-output flows of severe acute respiratory syndrome in mainland China Creator An entity primarily responsible for making the resource Li Wang, Jinfeng Wang, Cheng-Dong Xu, Tiejun Liu Description An account of the resource Abstract Background Severe acute respiratory syndrome (SARS) originated in China in 2002, and it spread to 26 provinces in mainland China and 32 countries across five continents in a matter of months. This outbreak resulted in 774 deaths. However, the spatial features and potential determinants of SARS input-output flows remain unclear. Methods We used an adjusted spatial interaction model to examine the spatial effects and potential factors associated with SARS input-output flows. Results The presence of origin-based spatial dependence positively affected SARS input-output flows from the neighbours of the origin regions. Two components of the input-output flows, migrant and hospitalization flows, exhibited distinctive features. The origin-based and destination-based spatial dependence positively affected migrant flows (i.e., due to those seeking jobs) from the neighbours of origin and destination locations. Similarly, the destination-based spatial dependence also positively affected hospitalization flows (i.e., due to those seeking treatment) from the neighbours of destination regions. However, the origin-to-destination based spatial dependence negatively affected hospitalisation flows from the neighbours of origin-to-destination regions. The direct effects accounted for 78 % of the SARS input-output flows, which was 3.56-fold greater than the indirect effects. Differences in regional income drove the SARS input-output flows. Therefore, urban income had a positive effect, whereas rural income had a negative effect. Total interregional flows increased by 3.54 % with a 1 % increase in urban income, and intraregional flows increased by 8.35 %. In contrast, the total interregional flows decreased by 3.38 % with a 1 % increase in rural income, and intraregional flows declined by 2.29 %. Railway capacity, per person gross domestic product (PGDP), urban rate and the law of distance decay also affected the input-output flows. Conclusions Our results confirm that the SARS input-output flows presented significant geographic spatial heterogeneity and spatial effects. Income differences were the major cause of the flows between pairs of regions. Railway capacity, PGDP, and urban rate also played important roles. These findings provide valuable information for the Chinese government to control the future spread of nationwide epidemics. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Subject The topic of the resource Input-output flows, spatial interaction model, spatial dependence, Spillover Effects, Income difference Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12889-016-2867-6 Source A related resource from which the described resource is derived BMC Public Health Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/a86cd8f6d2516b77cc8a440f84a68165.pdf c095179e9674e553a3ee938b211dce70 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The clinical and virological features of the first imported case causing MERS-CoV outbreak in South Korea, 2015 Creator An entity primarily responsible for making the resource Ji Yeon Lee, You-Jin Kim, Eun Hee Chung, Daewon Kim, Ina Jeong, Yeonjae Kim, Mi-Ran Yun, Sung Soon Kim, Ga-Yeon Kim, Joon Sung Joh Description An account of the resource Abstract Background In 2015, the largest outbreak of Middle East respiratory syndrome coronavirus (MERS-CoV) infection outside the Middle East occurred in South Korea. We summarized the epidemiological, clinical, and laboratory findings of the first Korean case of MERS-CoV and analyzed whole-genome sequences of MERS-CoV derived from the patient. Case presentation A 68-year-old man developed fever and myalgia 7 days after returning to Korea, following a 10-day trip to the Middle East. Before diagnosis, he visited 4 hospitals, potentially resulting in secondary transmission to 28 patients. On admission to the National Medical Center (day 9, post-onset of clinical illness), he presented with drowsiness, hypoxia, and multiple patchy infiltrations on the chest radiograph. He was intubated (day 12) because of progressive acute respiratory distress syndrome (ARDS) and INF-α2a and ribavirin treatment was commenced. The treatment course was prolonged by superimposed ventilator associated pneumonia. MERS-CoV PCR results converted to negative from day 47 and the patient was discharged (day 137), following rehabilitation therapy. The complete genome sequence obtained from a sputum sample (taken on day 11) showed the highest sequence similarity (99.59%) with the virus from an outbreak in Riyadh, Saudi Arabia, in February 2015. Conclusions The first case of MERS-CoV infection had high transmissibility and was associated with a severe clinical course. The patient made a successful recovery after early treatment with antiviral agents and adequate supportive care. This first case in South Korea became a super-spreader because of improper infection control measures, rather than variations of the virus. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Middle East respiratory syndrome coronavirus, genetic analysis, complete genome, Index case, Korea Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12879-017-2576-5 Source A related resource from which the described resource is derived BMC Infectious Diseases Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases Language A language of the resource EN https://www.socictopen.socict.org/files/original/053ac76fdff6916fc9ffa2f76e22c6d4.pdf 890482c5191b21648f4a1d9cf048bd55 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Sequential Emergence and Wide Spread of Neutralization Escape Middle East Respiratory Syndrome Coronavirus Mutants, South Korea, 2015 Creator An entity primarily responsible for making the resource Yeon Sook Kim, Abdimadiyeva Aigerim, Uni Park, Yu-Ri Kim, Ji-Young Rhee, Jae-Phil Choi, Wan Beom Park, Sangwon Park, Yeonjae Kim, Dong-Gyun Lim, Kyung-Soo Inn, Eung Soo Hwang, Myung Sik Choi, Nam-Hyuk Cho Description An account of the resource The unexpectedly large outbreak of Middle East respiratory syndrome in South Korea in 2015 was initiated by an infected traveler and amplified by several “superspreading” events. Previously, we reported the emergence and spread of mutant Middle East respiratory syndrome coronavirus bearing spike mutations (I529T or D510G) with reduced affinity to human receptor CD26 during the outbreak. To assess the potential association of spike mutations with superspreading events, we collected virus genetic information reported during the outbreak and systemically analyzed the relationship of spike sequences and epidemiology. We found sequential emergence of the spike mutations in 2 superspreaders. In vivo virulence of the mutant viruses seems to decline in human patients, as assessed by fever duration in affected persons. In addition, neutralizing activity against these 2 mutant viruses in serum samples from mice immunized with wild-type spike antigen were gradually reduced, suggesting emergence and wide spread of neutralization escapers during the outbreak. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource Middle East respiratory syndrome coronavirus, MERS-CoV, Superspreading, Spike, antibody neutralization, Viruses Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid2506.181722 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases, Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/6b2567ca29b7f1ad6fb0a3b9dd75438e.pdf 81a0aa1fb433b829a657848f24afc965 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The effect of travel restrictions on the spread of a moderately contagious disease Creator An entity primarily responsible for making the resource Camitz Martin, Liljeros Fredrik Description An account of the resource Abstract Background Much research in epidemiology has been focused on evaluating conventional methods of control strategies in the event of an epidemic or pandemic. Travel restrictions are often suggested as an efficient way to reduce the spread of a contagious disease that threatens public health, but few papers have studied in depth the effects of travel restrictions. In this study, we investigated what effect different levels of travel restrictions might have on the speed and geographical spread of an outbreak of a disease similar to severe acute respiratory syndrome (SARS). Methods We used a stochastic simulation model incorporating survey data of travel patterns between municipalities in Sweden collected over 3 years. We tested scenarios of travel restrictions in which travel over distances >50 km and 20 km would be banned, taking into account different levels of compliance. Results We found that a ban on journeys >50 km would drastically reduce the speed and geographical spread of outbreaks, even when compliance is < 100%. The result was found to be robust for different rates of intermunicipality transmission intensities. Conclusion This study supports travel restrictions as an effective way to mitigate the effect of a future disease outbreak. Date A point or period of time associated with an event in the lifecycle of the resource 2006 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1741-7015-4-32 Source A related resource from which the described resource is derived BMC Medicine Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN