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  • Authors: Robinson, James; Shaffer, Jeff;

    To characterize serological responses to coronaviruses in Sierra Leoneans, we tested blood samples collected before the reports in late 2019 of the first COVID-19 cases in Wuhan, China. We demonstrate that, prior to the COVID-19 pandemic, the percentage of Sierra Leonians with cross-reactive antibodies to SARS-CoV-2, MERS-CoV, and seasonal coronaviruses was higher than in United States blood donors.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: BAS, Koray; YILMAZ, Fulya;

    Aim: The 21st Century has already witnessed three outbreaks caused by the same family of coronaviruses, the Severe Acute Respiratory Syndrome (SARS), the Middle East Respiratory Syndrome (MERS) and recently, The Noval Coronavirus Disease 2019 (COVID-19). The main aim of this study is to analyze the overall scientific publications indexed in Science Citation Index Expanded (SCI-E) about these three outbreaks. And the secondary aim is to compare first scientific reactions to SARS, MERS and COVID-19 outbreaks in their early phases by using the dates of first 4 months of them.Material and Method: Web of Science (WoS) software was used for the search and the analysis. Allscientific papers, included in SCI-E, related with each outbreaks of SARS, MERS and COVID-19 from 1980 to April15.2020, were searched and analyzed by using the terms of “SARS”, “SARS-CoV” and “Severe Acute Respiratory Syndrome” for SARS; “MERS”, “MERS-CoV”, “HCoV-EMC” and “Middle East Respiratory Disease” for MERS and “COVID-19”, “2019-n-CoV”, “SARS-CoV-2”, “Coronavirus disease 19” and “2019 novel coronavirus” for COVID-19 in the topic section of the software.Results: Overall; 3690, 1517 and 730 papers, indexed by SCI-E, were found related to SARS, MERS and COVID-19 respectively. The biggest contribution for publications was from People’s Republic of China (PRC) for SARS and COVID-19 and was from The United States of America (USA) for MERS.Conclusion: In this study, it was revealed that scientific contribution to COVID-19 is faster and greatful then SARS and MERS in the early phase of the outbreak. But the pandemic potential of betacoronaviruses, especially SARS-CoV-2, remains a threat for public health globally. Therefore further research into the pathogenesis of these infections in order to find appropriate targets for treatment is imperative. Amaç: 21. yüzyıl, aynı koronavirüs ailesinin neden olduğu üç salgına, Şiddetli Akut Solunum Sendromu (SARS), Orta Doğu Solunum Sendromu (MERS) ve yakın zamanda Noval Koronavirüs Hastalığı 2019’un (COVID-19) tanık olmuştur. Bu çalışmanın amacı, bu üç salgın ile ilgili, Science Citation Index Expanded (SCI-E) dergilerde indekslenen genel bilimsel yayınları analiz etmektir. İkincil amacı ise SARS, MERS ve COVID-19 salgınlarına yönelik ilk bilimsel reaksiyonları erken evrelerinde, ilk 4 aylık süreçlerinde, karşılaştırmaktır.Materyal ve Metot: Arama ve analiz için ISI-Web of Knowledge- Web of Science (WoS) yazılımı kullanılmıştır. 1975’ten 15 Nisan 2020’ye kadar SARS, MERS ve COVID-19 salgını ile ilgili SCI-E indexlenen tüm bilimsel makaleler Şiddetli Akut Solunum Sendromu (SARS) için “SARS”, “SARS-CoV” ve “Şiddetli Akut Solunum Sendromu” terimleri kullanılarak; Orta Doğu Solunum Sendromu (MERS) için “MERS”, “MERS-CoV”, “HCoV-EMC” ve “Orta Doğu Solunum Sendromu” terimleri kullanılarak ve COVID-19 için “COVID-19”, “2019-n-CoV”, “SARS-CoV-2”, “Koronavirüs hastalığı 19” ve “2019 yeni koronavirüs” erimleri kullanılarak arştırma yapıldı.Bulgular: SCI-E tarafından indekslenen 3690 yayın SARS ile, 1517 yayın MERS ile ve 730 yayın COVID-19 ile ilgili bulunmuştur. Yayınlara en büyük katkı, SARS ve COVID-19 için Çin Halk Cumhuriyeti’nden (PRC); MERS için Amerika Birleşik Devletlerindendir (ABD).Sonuç: Bu çalışma ile, COVID-19’a bilimsel katkının salgının erken evresindeki SARS ve MERS’den daha hızlı ve daha büyük olduğunu gösterdik. Ancak, HCoV’lerin, özellikle SARS-CoV-2’nin pandemik potansiyeli, küresel olarak halk sağlığı için bir tehdit olmaya devam etmektedir. Bu nedenle, tedavi için uygun hedefleri bulmak için HCoV enfeksiyonlarının patogenezine yönelik daha fazla araştırma yapılması zorunludur.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Kafkas Tıp Bilimleri...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Kafkas Tıp Bilimleri...arrow_drop_down
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    Authors: Tatjana Vilibić-Čavlek; Thomas Ferenc; Vladimir Stevanović; Mateja Vujica; +4 Authors

    Seven human coronaviruses have been identified so far: four seasonal coronaviruses (HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1) and three novel coronaviruses (SARS-CoV, MERS-CoV, SARS-CoV-2). While seasonal coronaviruses cause only mild symptoms, novel coronaviruses cause severe and potentially fatal infections. All known coronaviruses originated in animals. Bats are considered as an origin for the majority of coronaviruses capable of infecting humans; however, rodents are proposed as natural hosts for HCoV-OC43 and HCoV-HKU1. Different animal species could serve as intermediate hosts including alpacas (HCoV-229E), livestock (HCoV-OC43), civet cats (SARS-CoV), camels (MERS-CoV), and pangolins (SARS-CoV-2). In Croatia, SARS-CoV-2 was detected in humans, pet animals, wildlife, and the environment. The COVID-19 pandemic has highlighted the role of the ‘One Health’ approach in the surveillance of zoonotic diseases. Do sada je otkriveno sedam humanih koronavirusa: četiri sezonska koronavirusa (HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1) i tri nova koronavirusa (SARS-CoV, MERS-CoV, SARS-CoV-2). Dok sezonski koronavirusi uzrokuju tek blage infekcije, novi koronavirusi su uzročnici teških i potencijalno smrtonosnih infekcija. Svi poznati koronavirusi su podrijetlom od životinja. Šišmiši se smatraju izvorom većine koronavirusa koji uzrokuju infekcije u ljudi, međutim prirodnim rezervoarima HCoV-OC43 i HCoV-HKU1 se smatraju glodavci. Različite životinjske vrste predstavljaju prijelazne domaćine uključujući alpake (HCoV-229E), stoku (HCoV-OC43), cibetke (SARS-CoV), deve (MERS-CoV) te ljuskaše (SARS-CoV-2). Na području Hrvatske SARS-CoV-2 je dokazan u ljudi, kućnih ljubimaca, divljih životinja te okolišu. Pandemija COVID-19 naglašava ulogu pristupa ‘Jedno zdravlje’ u nadzoru zoonoza.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Infektološki glasnikarrow_drop_down
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    Article . 2023 . Peer-reviewed
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Infektološki glasnikarrow_drop_down
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      Infektološki glasnik
      Article . 2023 . Peer-reviewed
      Data sources: Crossref
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    Authors: Bosch, Albert; Nieto, Amelia; Doménech-Gómez, Ana María; Briones, Carlos; +8 Authors

    El coronavirus es un conjunto de malas noticias envueltas en proteínas. Por suerte, cada vez sabemos más sobre él. Artículo de divulgación publicado en The Conversation España el día 28/04/2020. No

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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    REPISALUD
    Other ORP type . 2020
    License: CC BY ND
    Data sources: REPISALUD
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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      REPISALUD
      Other ORP type . 2020
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    Background: This is the first edition of guidance on infection prevention and control (IPC) strategies for use when COVID-19 is suspected. It has been adapted from WHO’s Infection prevention and control during health care for probable or confirmed cases of Middle East respiratory syndrome coronavirus (MERS-CoV) infection,1 based on current knowledge of the situation and experience with severe acute respiratory syndrome (SARS) and MERS. WHO will update these recommendations as new information becomes available. This guidance is intended for health care workers (HCWs), health care managers, and IPC teams at the facility level but it is also relevant for national and district/provincial levels. Full guidelines are available from WHO.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PAHO COVID19arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PAHO COVID19arrow_drop_down
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Rafal Bartoszewski; Michal Dabrowski; Bogdan Jakiela; Sadis Matalon; +3 Authors

    Using a bioinformatic analysis of human miRNA potential interactions with the SARS-CoV-2’s genome, we examined the potential miRNA target sites in 7 coronavirus genomes that include SARS-CoV-2, MERS-CoV, SARS-CoV, and 4 non-pathogenic coronaviruses. (Data Set 1). Our approach was to examine and compare 3 pathogenic and 4 non-pathogenic strains of HCoVs. The HCoVs' RNA genomes of pathogenic strains were SARS-CoV-2 (NC_045512.2), SARS-CoV (NC_004718.3), MERS-CoV (NC_019843.3). The non-pathogenic strains were HCoV-OC43 (KU131570.1), HCoV-229E (NC_002645.1), HCoV-HKU1 (KF686346.1), and HCoV-NL63 (NC_005831.2). These coronaviruses were tested against the set of 896 confident mature human miRNA sequences that were obtained from the miRBbase v2.21 using the RNA22 v2 microRNA target discovery tool web-server. In order to reduce the false discovery rate of the MTS predictions, the most strict parameters were applied to the default computation workflow using a specificity of 92% versus a sensitivity of 22%. In Data set 2, using the miRDIP database with only top 1% of the most probable targets considered, we analyzed the potential targets of miRNA that could be bound to either the pathogenic, the non-pathogenic or both groups of HCoVs. In Data set 3, using miRNAFold webserver we identified 10 pre-miRNA sequences in the SARS-CoV-2 RNA sequence that could potentially enter the human RNAi pathway. The graphical summary of our working hypothesis is provided in the graphical abstract.

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    Dataset . 2020
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
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      Dataset . 2020
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Dataset . 2020
      Data sources: Datacite
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Article . 2021
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Article . 2021
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    Authors: Alaa, Badawi;

    Abstract Severe acute respiratory syndrome (SARS) coronavirus (CoV)-2 (SARS-CoV-2) is a novel coronavirus identified as the cause of coronavirus disease-2019 (COVID-19) that began in Wuhan, China in late 2019 and spread now in 210 countries and territories around the world. Many people are asymptomatic or with mild symptoms. However, in some cases (usually the elderly and those with comorbidities) the disease may progress to pneumonia, acute respiratory distress syndrome and multi-organ dysfunction that can lead to death. Such wide interindividual differences in response to SARS-CoV-2 infection may relate to several pathogen- and host-related factors. These include the different levels of the ubiquitously present human angiotensin I converting enzyme 2 (ACE2) receptors gene expression and its variant alleles, the different binding affinities of ACE2 to the virus spike (S) protein given its L- and S-subtypes and the subsequent extent of innate immunity-related hypercytokinemia. The extensive synthesis of cytokines and chemokines in coronavirus diseases was suggested as a major factor in exacerbating lung damage and other fatal complications. The polymorphisms in genes coding for pro-inflammatory cytokines and chemokines have been associated with mediating the response and susceptibility to a wide range of infections and their severe outcomes. Understanding the nature of pathogen–host interaction in COVID-19 symptomatology together with the role of hypercytokinemia in disease severity may permit developing new avenues of approach for prevention and treatment and can delineate public health measures to control the spread of the disease.

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    Europe PubMed Central
    Article . 2020
    Data sources: PubMed Central
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      Europe PubMed Central
      Article . 2020
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Brnić, Dragan;

    Na samom početku epidemije SARS-CoV-2 održano je predavanje na Hrvatskom veterinarskom institutu o svim spoznajama važnim za pojavu SARS-CoV-2 te je prikazan osvrt na prethodne epidemije SARS-CoV-1 i MERS, kao i osvrt na koronaviruse kod životinja s fokusom na virus epidemijskog proljeva svinja (PEDV) i koronavirus sindroma akutnog proljeva u svinja (SADS-CoV).

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Croatian Scientific ...arrow_drop_down
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    Authors: Rodriguez-Blanco N; Vegara-Lopez I; Aleo-Giner L; Tuells J;

    Background. The appearance of new infectious diseases, such as COVID-19, poses a challenge in monitoring pregnancy and preventing obstetric and neonatal complications. A scoping review has the objective to review the information available in pregnant women infected with the MERS-CoV, SARS-CoV, SARS-CoV-2 coronaviruses to assess the similarities in terms of and differences in the clinical characteristics of the mothers and neonatal outcomes. Methods. We carried out a bibliographic search (scoping review) according to the PRISMA guidelines between March and April 2020 in the MEDLINE, SciELO, and CUIDEN databases and the Elsevier COVID-19 Information Center. Results. We analyzed 20 articles with a total of 102 cases.9 of MERS-CoV, 14 of SARS-CoV and 79 of SARS-CoV-2. Fever (75.5%) and pneumonia (73.5 %) were the most frequent symptoms in infected pregnant women. The most frequent obstetric complications were the threat of premature delivery (23.5%) and caesarean section (74.5 %). No vertical transmission was documented in any of the infants. Conclusions. All three coronaviruses produce pneumonia with very similar symptoms, being milder in the case of SARS-CoV2. Despite documented obstetric complications, neonatal outcomes are mostly favorable. Increased knowledge is needed to improve and prevent obstetric and neonatal complications from these infections in pregnant women.

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  • Authors: Robinson, James; Shaffer, Jeff;

    To characterize serological responses to coronaviruses in Sierra Leoneans, we tested blood samples collected before the reports in late 2019 of the first COVID-19 cases in Wuhan, China. We demonstrate that, prior to the COVID-19 pandemic, the percentage of Sierra Leonians with cross-reactive antibodies to SARS-CoV-2, MERS-CoV, and seasonal coronaviruses was higher than in United States blood donors.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: BAS, Koray; YILMAZ, Fulya;

    Aim: The 21st Century has already witnessed three outbreaks caused by the same family of coronaviruses, the Severe Acute Respiratory Syndrome (SARS), the Middle East Respiratory Syndrome (MERS) and recently, The Noval Coronavirus Disease 2019 (COVID-19). The main aim of this study is to analyze the overall scientific publications indexed in Science Citation Index Expanded (SCI-E) about these three outbreaks. And the secondary aim is to compare first scientific reactions to SARS, MERS and COVID-19 outbreaks in their early phases by using the dates of first 4 months of them.Material and Method: Web of Science (WoS) software was used for the search and the analysis. Allscientific papers, included in SCI-E, related with each outbreaks of SARS, MERS and COVID-19 from 1980 to April15.2020, were searched and analyzed by using the terms of “SARS”, “SARS-CoV” and “Severe Acute Respiratory Syndrome” for SARS; “MERS”, “MERS-CoV”, “HCoV-EMC” and “Middle East Respiratory Disease” for MERS and “COVID-19”, “2019-n-CoV”, “SARS-CoV-2”, “Coronavirus disease 19” and “2019 novel coronavirus” for COVID-19 in the topic section of the software.Results: Overall; 3690, 1517 and 730 papers, indexed by SCI-E, were found related to SARS, MERS and COVID-19 respectively. The biggest contribution for publications was from People’s Republic of China (PRC) for SARS and COVID-19 and was from The United States of America (USA) for MERS.Conclusion: In this study, it was revealed that scientific contribution to COVID-19 is faster and greatful then SARS and MERS in the early phase of the outbreak. But the pandemic potential of betacoronaviruses, especially SARS-CoV-2, remains a threat for public health globally. Therefore further research into the pathogenesis of these infections in order to find appropriate targets for treatment is imperative. Amaç: 21. yüzyıl, aynı koronavirüs ailesinin neden olduğu üç salgına, Şiddetli Akut Solunum Sendromu (SARS), Orta Doğu Solunum Sendromu (MERS) ve yakın zamanda Noval Koronavirüs Hastalığı 2019’un (COVID-19) tanık olmuştur. Bu çalışmanın amacı, bu üç salgın ile ilgili, Science Citation Index Expanded (SCI-E) dergilerde indekslenen genel bilimsel yayınları analiz etmektir. İkincil amacı ise SARS, MERS ve COVID-19 salgınlarına yönelik ilk bilimsel reaksiyonları erken evrelerinde, ilk 4 aylık süreçlerinde, karşılaştırmaktır.Materyal ve Metot: Arama ve analiz için ISI-Web of Knowledge- Web of Science (WoS) yazılımı kullanılmıştır. 1975’ten 15 Nisan 2020’ye kadar SARS, MERS ve COVID-19 salgını ile ilgili SCI-E indexlenen tüm bilimsel makaleler Şiddetli Akut Solunum Sendromu (SARS) için “SARS”, “SARS-CoV” ve “Şiddetli Akut Solunum Sendromu” terimleri kullanılarak; Orta Doğu Solunum Sendromu (MERS) için “MERS”, “MERS-CoV”, “HCoV-EMC” ve “Orta Doğu Solunum Sendromu” terimleri kullanılarak ve COVID-19 için “COVID-19”, “2019-n-CoV”, “SARS-CoV-2”, “Koronavirüs hastalığı 19” ve “2019 yeni koronavirüs” erimleri kullanılarak arştırma yapıldı.Bulgular: SCI-E tarafından indekslenen 3690 yayın SARS ile, 1517 yayın MERS ile ve 730 yayın COVID-19 ile ilgili bulunmuştur. Yayınlara en büyük katkı, SARS ve COVID-19 için Çin Halk Cumhuriyeti’nden (PRC); MERS için Amerika Birleşik Devletlerindendir (ABD).Sonuç: Bu çalışma ile, COVID-19’a bilimsel katkının salgının erken evresindeki SARS ve MERS’den daha hızlı ve daha büyük olduğunu gösterdik. Ancak, HCoV’lerin, özellikle SARS-CoV-2’nin pandemik potansiyeli, küresel olarak halk sağlığı için bir tehdit olmaya devam etmektedir. Bu nedenle, tedavi için uygun hedefleri bulmak için HCoV enfeksiyonlarının patogenezine yönelik daha fazla araştırma yapılması zorunludur.

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    Authors: Tatjana Vilibić-Čavlek; Thomas Ferenc; Vladimir Stevanović; Mateja Vujica; +4 Authors

    Seven human coronaviruses have been identified so far: four seasonal coronaviruses (HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1) and three novel coronaviruses (SARS-CoV, MERS-CoV, SARS-CoV-2). While seasonal coronaviruses cause only mild symptoms, novel coronaviruses cause severe and potentially fatal infections. All known coronaviruses originated in animals. Bats are considered as an origin for the majority of coronaviruses capable of infecting humans; however, rodents are proposed as natural hosts for HCoV-OC43 and HCoV-HKU1. Different animal species could serve as intermediate hosts including alpacas (HCoV-229E), livestock (HCoV-OC43), civet cats (SARS-CoV), camels (MERS-CoV), and pangolins (SARS-CoV-2). In Croatia, SARS-CoV-2 was detected in humans, pet animals, wildlife, and the environment. The COVID-19 pandemic has highlighted the role of the ‘One Health’ approach in the surveillance of zoonotic diseases. Do sada je otkriveno sedam humanih koronavirusa: četiri sezonska koronavirusa (HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1) i tri nova koronavirusa (SARS-CoV, MERS-CoV, SARS-CoV-2). Dok sezonski koronavirusi uzrokuju tek blage infekcije, novi koronavirusi su uzročnici teških i potencijalno smrtonosnih infekcija. Svi poznati koronavirusi su podrijetlom od životinja. Šišmiši se smatraju izvorom većine koronavirusa koji uzrokuju infekcije u ljudi, međutim prirodnim rezervoarima HCoV-OC43 i HCoV-HKU1 se smatraju glodavci. Različite životinjske vrste predstavljaju prijelazne domaćine uključujući alpake (HCoV-229E), stoku (HCoV-OC43), cibetke (SARS-CoV), deve (MERS-CoV) te ljuskaše (SARS-CoV-2). Na području Hrvatske SARS-CoV-2 je dokazan u ljudi, kućnih ljubimaca, divljih životinja te okolišu. Pandemija COVID-19 naglašava ulogu pristupa ‘Jedno zdravlje’ u nadzoru zoonoza.

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    Article . 2023 . Peer-reviewed
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      Article . 2023 . Peer-reviewed
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    Authors: Bosch, Albert; Nieto, Amelia; Doménech-Gómez, Ana María; Briones, Carlos; +8 Authors

    El coronavirus es un conjunto de malas noticias envueltas en proteínas. Por suerte, cada vez sabemos más sobre él. Artículo de divulgación publicado en The Conversation España el día 28/04/2020. No

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    Other ORP type . 2020
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      Other ORP type . 2020
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    Background: This is the first edition of guidance on infection prevention and control (IPC) strategies for use when COVID-19 is suspected. It has been adapted from WHO’s Infection prevention and control during health care for probable or confirmed cases of Middle East respiratory syndrome coronavirus (MERS-CoV) infection,1 based on current knowledge of the situation and experience with severe acute respiratory syndrome (SARS) and MERS. WHO will update these recommendations as new information becomes available. This guidance is intended for health care workers (HCWs), health care managers, and IPC teams at the facility level but it is also relevant for national and district/provincial levels. Full guidelines are available from WHO.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PAHO COVID19arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Rafal Bartoszewski; Michal Dabrowski; Bogdan Jakiela; Sadis Matalon; +3 Authors

    Using a bioinformatic analysis of human miRNA potential interactions with the SARS-CoV-2’s genome, we examined the potential miRNA target sites in 7 coronavirus genomes that include SARS-CoV-2, MERS-CoV, SARS-CoV, and 4 non-pathogenic coronaviruses. (Data Set 1). Our approach was to examine and compare 3 pathogenic and 4 non-pathogenic strains of HCoVs. The HCoVs' RNA genomes of pathogenic strains were SARS-CoV-2 (NC_045512.2), SARS-CoV (NC_004718.3), MERS-CoV (NC_019843.3). The non-pathogenic strains were HCoV-OC43 (KU131570.1), HCoV-229E (NC_002645.1), HCoV-HKU1 (KF686346.1), and HCoV-NL63 (NC_005831.2). These coronaviruses were tested against the set of 896 confident mature human miRNA sequences that were obtained from the miRBbase v2.21 using the RNA22 v2 microRNA target discovery tool web-server. In order to reduce the false discovery rate of the MTS predictions, the most strict parameters were applied to the default computation workflow using a specificity of 92% versus a sensitivity of 22%. In Data set 2, using the miRDIP database with only top 1% of the most probable targets considered, we analyzed the potential targets of miRNA that could be bound to either the pathogenic, the non-pathogenic or both groups of HCoVs. In Data set 3, using miRNAFold webserver we identified 10 pre-miRNA sequences in the SARS-CoV-2 RNA sequence that could potentially enter the human RNAi pathway. The graphical summary of our working hypothesis is provided in the graphical abstract.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    ZENODO
    Dataset . 2020
    Data sources: ZENODO
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    ZENODO
    Dataset . 2020
    Data sources: Datacite
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    This Research product is the result of merged Research products in OpenAIRE.

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