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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Epidemiology of  the domestic and repatriation (Covid-19) Infection in Al Najaf province , Iraq</text>
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                <text>Ahmed H. Al- Shareef Al-Shaibani</text>
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                <text>ABSTRACT  Background: Al-Najaf province , Iraq , has experienced an outbreak of coronavirus disease 2019 (Covid-19). Epidemiological and clinical characteristics of (Covid-19) infection have been reported but a detailed clinical course and risk factors for mortality including medical comorbidities and severity of illness at time of presentation , have not been well described.  Methods: From February 24 to April 7, 2020, a case series study done on 123 PCR-confirmed cases of (Covid-19) admitted to Al-Hakeem Hospital And Quarantine Center (AHQC), in Al-Najaf Province, Iraq. Demographics, clinical and laboratory data  gathered from a local database at (AHQC). SPSS(statistical package for social sciences) used for statistical analysis. Frequency, percentage, mean and standard deviation used as descriptive statistics. Chi square or Yates corrected chi square used as needed.(P value≤0.05) regarded significant.  Results: In total of 123 Patients, most infections occur  inside Iraq 96(78%) .The cohort included 67 (54.5%) females and 56 (45.5%) males, mean age was 32.58±18.56 years. most infections were mild or asymptomatic (72.3%). The most common symptoms was fever (74.8% ) , followed by cough (66.7%), headache (59.3%), and dyspnoea (28.5%). Most  patients 108(87.8%) recovered and four patients (3.3%) died. There is a significant association between medical comorbidities , severity of illness and  patients outcome (P value  </text>
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                <text>2020</text>
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                <text>DOI: 10.32007/jfacmedbagdad.621,21738</text>
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                <text>مجلة كلية الطب</text>
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                <text>Faculty of Medicine University of Baghdad</text>
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                <text>Medicine (General), Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Middle East Respiratory Syndrome Coronavirus, Saudi Arabia, 2017–2018</text>
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                <text>Ahmed Hakawi, Erica Billig Rose, Holly M Biggs, Xiaoyan Lu, Mutaz Mohammed, Osman Abdalla, Glen R. Abedi, Ali A. Alsharef, Aref Ali Alamri, Samar Ahmad Bereagesh, Kamel M. Al Dosari, Saad Abdullah Ashehri, Waad Ghassan Fakhouri, Saleh Zaid Alzaid, Stephen Lindstrom, Susan I. Gerber, Abdullah Asiri, Hani Jokhdar, John T. Watson</text>
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                <text>We characterized exposures and demographics of Middle East respiratory syndrome coronavirus cases reported to the Saudi Arabia Ministry of Health during July 1–October 31, 2017, and June 1–September 16, 2018. Molecular characterization of available specimens showed that circulating viruses during these periods continued to cluster within lineage 5.</text>
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                <text>2019</text>
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                <text>Middle East respiratory syndrome, MERS, MERS-CoV, coronavirus infections, Respiratory viruses, Viruses</text>
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                <text>DOI: 10.3201/eid2511.190726</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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                <text>EN</text>
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                <text>How Japan managed to curb the pandemic early on: Lessons learned from the first eight months of COVID-19.</text>
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                <text>Ahmed Hossain, Urme Binte Sayeed</text>
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                <text>10.7189/jogh.10.020390</text>
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                <text>Journal of Global Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Edinburgh University Global Health Society</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in Dromedary Camels in Africa and Middle East</text>
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                <text>Ahmed Kandeil, Mokhtar Gomaa, Ahmed Nageh, Mahmoud M. Shehata, Ahmed  E. Kayed, Jamal S M Sabir, Awatef Abiadh, Jamel Jrijer, Zuhair Amr, Mounir AbiSaid, Denis K. Byarugaba, Fred Wabwire-Mangen, Titus Tugume, Nadira S. Mohamed, Roba Attar, Sabah M. Hassan, Sabah Abdulaziz Linjawi, Yassmin Moatassim, Omnia Kutkat, Sara Mahmoud, Ola Bagato, Noura  M. Abo Shama, Rabeh El Shesheny, Ahmed Mostafa, Ranawaka A.P.M. Perera, Daniel K.W. Chu, Nagla Hassan, Basma Elsokary, Ahmed Saad, Heba Sobhy, Ihab El-Masry, Pamela P. McKenzie, Richard J. Webby, Malik Peiris, Yilma  J. Makonnen, Mohamed A. Ali, Ghazi Kayali</text>
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                <text>Dromedary camels are the natural reservoirs of the Middle East respiratory syndrome coronavirus (MERS-CoV). Camels are mostly bred in East African countries then exported into Africa and Middle East for consumption. To understand the distribution of MERS-CoV among camels in North Africa and the Middle East, we conducted surveillance in Egypt, Senegal, Tunisia, Uganda, Jordan, Saudi Arabia, and Iraq. We also performed longitudinal studies of three camel herds in Egypt and Jordan to elucidate MERS-CoV infection and transmission. Between 2016 and 2018, a total of 4027 nasal swabs and 3267 serum samples were collected from all countries. Real- time PCR revealed that MERS-CoV RNA was detected in nasal swab samples from Egypt, Senegal, Tunisia, and Saudi Arabia. Microneutralization assay showed that antibodies were detected in all countries. Positive PCR samples were partially sequenced, and a phylogenetic tree was built. The tree suggested that all sequences are of clade C and sequences from camels in Egypt formed a separate group from previously published sequences. Longitudinal studies showed high seroprevalence in adult camels. These results indicate the widespread distribution of the virus in camels. A systematic active surveillance and longitudinal studies for MERS-CoV are needed to understand the epidemiology of the disease and dynamics of viral infection.</text>
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                <text>MERS coronavirus, Surveillance, virus infection, Epidemiology, virus transmission</text>
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                <text>DOI: 10.3390/v11080717</text>
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                <text>Microbiology</text>
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                <text>Risk Factors for MERS-CoV Seropositivity among Animal Market and Slaughterhouse Workers, Abu Dhabi, United Arab Emirates, 2014–2017</text>
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                <text>Ahmed Khudhair, Marie E. Killerby, Mariam Al Mulla, Kheir Abou Elkheir, Wassim Ternanni, Zyad Bandar, Stefan Weber, Mary Khoury, George Donnelly, Salama Al Muhairi, Abdelmalik I. Khalafalla, Suvang Trivedi, Azaibi Tamin, Natalie J. Thornburg, John T. Watson, Susan I. Gerber, Farida Al Hosani, Aron J. Hall</text>
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                <text>Camel contact is a recognized risk factor for Middle East respiratory syndrome coronavirus (MERS-CoV) infection. Because specific camel exposures associated with MERS-CoV seropositivity are not fully understood, we investigated worker–camel interactions and MERS-CoV seroprevalence. We assessed worker seroprevalence in 2 slaughterhouses and 1 live-animal market in Abu Dhabi, United Arab Emirates, during 2014–2017 and administered an epidemiologic survey in 2016 and 2017. Across 3 sampling rounds during 2014–2017, we sampled 100–235 workers, and 6%–19% were seropositive for MERS-CoV at each sampling round. One (1.4%) of 70 seronegative workers tested at multiple rounds seroconverted. On multivariable analyses, working as a camel salesman, handling live camels or their waste, and having diabetes were associated with seropositivity among all workers, whereas handling live camels and either administering medications or cleaning equipment was associated with seropositivity among market workers. Characterization of high-risk exposures is critical for implementation of preventive measures.</text>
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              <elementText elementTextId="19749">
                <text>2019</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="19750">
                <text>MERS-CoV, Middle East respiratory syndrome, coronavirus, camels, Abu Dhabi, United Arab Emirates</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="19751">
                <text>DOI: 10.3201/eid2505.181728</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="19752">
                <text>Emerging Infectious Diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="19753">
                <text>Centers for Disease Control and Prevention</text>
              </elementText>
            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="19754">
                <text>Infectious and parasitic diseases, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="19755">
                <text>EN</text>
              </elementText>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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      <name>Text</name>
      <description>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.</description>
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        <name>Dublin Core</name>
        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="59102">
                <text>Longitudinal assessment of chest computerized tomography and oxygen saturation for patients with COVID-19</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="59103">
                <text>Ahmed M. Osman, Suzan Farouk, Nehad M. Osman, Ahmed M. Abdrabou</text>
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            <description>An account of the resource</description>
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                <text>Abstract Background COVID-19 is a pandemic disease and is important to know the nature of the disease during follow-up. We aimed to study different imaging signs and changes that occurred during the initial scan, follow-up, and complications. Moreover, to study the CT severity score and its relation to the patients’ clinical condition using oxygen saturation as a parameter. This was a retrospective study conducted on 125 patients, including 293 CT studies, from March till the end of August 2020. The mean age was 47.4 ± 15.7 years and 64.8% of the patients were males. All patients proved to have COVID-19 by the RT-PCR test. The CT studies of the patients were divided into four stages according to the timing after the onset of symptoms. The incidence of different CT features, patterns, complications, CT severity score, and oxygen saturation were recorded in different stages. Results During follow-up studies, GGOs were the most constant and common CT features. Consolidation and crazy paving showed gradual progression to reach the peak at the 3rd stage. Mixed attenuation pattern was the commonest pattern at the 3rd stage while a pure GGO pattern was the commonest feature in other stages. The complications occurred mostly in the 3rd stage. Nevertheless, the CT severity score showed an inverse relation with oxygen saturation. Conclusion Radiological evaluation of COVID-19 pneumonia showed gradual progression till the peak critical stage at 8-14 days from the onset of symptoms. Consolidation and mixed attenuation pattern can be considered as CT signs of disease severity.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="59105">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="59106">
                <text>coronavirus, computed tomography (CT), oxygen saturation, Severity score, Ground-glass opacity (GGO)</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="59107">
                <text>10.1186/s43055-020-00376-y</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="59108">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="59109">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="59110">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="3688" public="1" featured="0">
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>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.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33957">
                <text>Coronavirus disease-19 (severe acute respiratory syndrome-coronavirus-2) is not just simple influenza: What have we learned so far?</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33958">
                <text>Ahmed S BaHammam, Ali M. Somily</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="33959">
                <text>2020</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="33960">
                <text>DOI: 10.4103/JNSM.JNSM_22_20</text>
              </elementText>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="33961">
                <text>Journal of Nature and Science of Medicine</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="33962">
                <text>Wolters Kluwer Medknow Publications</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="33963">
                <text>Public aspects of medicine, Medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>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.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57042">
                <text>Social Stigma: The Hidden Threat of COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57043">
                <text>Ahmed Samir Abdelhafiz, Mohamed Alorabi</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57044">
                <text>COVID-19 infection has been recognized as a pandemic by the World Health Organization. Efforts to prevent the spread of the disease are threatened by the appearance of disease-associated social stigma in society. In Egypt, a small wave of stigma directed at different groups started to appear. Here we report the features of COVID-19-associated stigma in Egypt and suggest recommendations to overcome this stigma before it grows and have physical and psychological impacts on society.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="57046">
                <text>Egypt, covid-19, Pandemic, spread, Social Stigma</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="57047">
                <text>10.3389/fpubh.2020.00429</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="57048">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="57049">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Public aspects of medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/31caf52d812d3fb484910219ca1e35b0.pdf</src>
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          <name>Dublin Core</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>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.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87750">
                <text>COVID-19 clinico-radiological mismatch: a proposal for a novel combined morphologic/volumetric CT severity score with blinded validation</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="87751">
                <text>Ahmed Samir, Abdelaziz Elnekeidy, Heba Said Gharraf, Ayman Ibrahim Baess, Tarek El-Diasty, Dina Altarawy</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="87752">
                <text>Abstract Background Some COVID-19 patients with similar quantitative CT measurements had variable clinical presentation and outcome. The absence of reasonable clinical explanations, such as pre-existing comorbidities or vascular complications, adds to the confusion. The authors believed that neglecting the impact of certain severe morphologic features could be an alternative radiological explanation. This study aims to optimize the initial CT staging of COVID-19 and propose a new combined morphologic/volumetric CT severity index (CTSI) to solve this clinico-radiological mismatch. Results This multi-center study included two major steps. The first step of the study entailed a standardized combined morphologic/volumetric CT severity analyses to propose a new optimized CTSI. This was conducted retrospectively during the period from June till September 2020. It included 379 acutely symptomatic COVID-19 patients. They were clinically classified according to their oxygen saturation and respiratory therapeutic requirements into three groups: group A (mild 298/79%), group B (borderline severity 57/15%), and group C (severe/critical 24/6%). The morphologic and volumetric assessment of their HRCT was analyzed according to severity, by two consultant radiologists in consensus. A new 25 point-CTSI has been created, combining eight morphological CT patterns [M1:M8; 8 points] and four grades of volumetric scores [S1:S4; 17 points]. The addition of the M5 pattern (air bubble sign), M6 pattern (early fibrosis and architectural distortion), or M7 pattern (crazy-paving) proved to increase the clinical severity. The second step of the study entailed a standardized blinded/independent validation analysis for the proposed CTSI. This was prospectively conducted on other 132 patients during October 2020 and independently performed by other two consultant radiologists. Validation results reached 80.2% sensitivity, 91.8% specificity, AUROC-curve = 0.8356, and 90.9% accuracy. Conclusion A new optimized CTSI with accepted validation is proposed for initial staging of COVID-19 patients, using combined morphologic/volumetric assessment instead of the quantitative assessment alone. It could solve the clinico-radiological mismatch among patients with similar quantitative CT results and variable clinical presentation during the absence of pre-existing comorbidities or vascular complications.</text>
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                <text>2021</text>
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            <name>Subject</name>
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                <text>covid-19, quantitative, volumetric, morphologic, CTSI</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="87755">
                <text>10.1186/s43055-021-00486-1</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="87756">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
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              <elementText elementTextId="87757">
                <text>Universidade Federal de Santa Catarina</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="87758">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                <text>Reply to letter to the editor: A response to 'Male balding is a major risk factor for severe COVID-19'"."</text>
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