<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJEpi</journal-id><journal-title-group><journal-title>Open Journal of Epidemiology</journal-title></journal-title-group><issn pub-type="epub">2165-7459</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojepi.2021.113019</article-id><article-id pub-id-type="publisher-id">OJEpi-110130</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Epidemiology and Clinical Characteristics of the First 500 Positive Cases of COVID-19. A Multicenter Retrospective Study across the Najran Region of the Kingdom of Saudi Arabia (KSA)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hadi</surname><given-names>J. Al Sulayyim</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohammed</surname><given-names>Ch Al-Noaemi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohammed</surname><given-names>M. Alyami</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shoab</surname><given-names>Ahmad</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohammad</surname><given-names>H. Alyami</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hamad</surname><given-names>S. Alyami</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ali</surname><given-names>D. Al-Swedan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ibraheem</surname><given-names>S. Banihameem</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Musallam</surname><given-names>A. Sedran</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ali</surname><given-names>M. Al-Zubaidi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Obaid</surname><given-names>M. Al Abbas</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Batterjee Medical College, Jeddah, KSA</addr-line></aff><aff id="aff2"><addr-line>Al-Ghad International College of Applied Medical Sciences, Najran, KSA</addr-line></aff><aff id="aff1"><addr-line>General Directorate of Health Affairs Najran, Ministry of Health, Najran, KSA</addr-line></aff><aff id="aff4"><addr-line>Najran University, Najran, KSA</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>06</month><year>2021</year></pub-date><volume>11</volume><issue>03</issue><fpage>222</fpage><lpage>236</lpage><history><date date-type="received"><day>3,</day>	<month>May</month>	<year>2021</year></date><date date-type="rev-recd"><day>25,</day>	<month>June</month>	<year>2021</year>	</date><date date-type="accepted"><day>28,</day>	<month>June</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Coronavirus Disease 2019 (COVID-19) is a viral infection that was first reported in Wuhan, China on 31 December 2019. This study aimed to clarify the epidemiology and clinical characteristics of 500 first COVID-19 in the Najran region, Saudi Arabia. Material and Methods: A multi-center retrospective study design was employed to study the first 500 confirmed COVID-19 positive cases in Najran province, Kingdom of Saudi Arabia (KSA). Data were collected from 1 March 2020 until 1 July 2020 and provided by the Infection Prevention and Control (IPC) department from the hospitals. Included cases were confirmed using real-time reverse transcriptase-polymerase chain reaction (RT-PCR). Demographic, vital signs, symptoms, incubation period, travel or exposure history medical history, and comorbidities were collected. Logistic regression analysis was used to explore the association between potential risk factors associated with symptoms occurrence of COVID-19. Results: The median age of 500 COVID-19 patients was 31 years; 333 (66.6%) males. A total of 34 (6.8%) were Healthcare Workers (HCWs). Out of the 500 patients, 180 (36%) had at least one comorbid disease. The most common symptoms on admission were fever 281 (56.2%), cough 266 (53.2%), shortness of breath 166 (33.2%), and malaise 113 (22.6%). Most of the patients presented with mild disease severity 310 (62%). Nationality, age, and Diabetes Miletus (DM) were independently and significantly associated with being symptomatic (P &lt; 0.05). Compared to Saudi nationals, other nationality patients were most likely to have symptoms (<em>β</em> = 2.968, CI = 2.002 - 4.400, P = 0.0010). For every 1 year increase in age, the risk of being symptomatic increased by 5.8% (<em>β</em> = 1.045, CI = 1.033 - 1.058, P = 0.001). Compared with non-DM patients, DM patients had a 4.05 times higher risk (<em>β</em> = 4.05, CI = 2.188 - 7.507, P = 0.001) of getting symptoms. Conclusions: The study concluded that the majority of the COVID-19 patients were symptomatic or had mild disease severity. Age, nationality, and DM were the important risk factors in being symptomatic.
 
</p></abstract><kwd-group><kwd>Epidemiology</kwd><kwd> Characteristics</kwd><kwd> COVID-19</kwd><kwd> Najran</kwd><kwd> KSA</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In 1965, the first human coronavirus (HCoV) was identified by Tyrrell and Bynoe as they had isolated the virus from a nasal swab taken from a child patient [<xref ref-type="bibr" rid="scirp.110130-ref1">1</xref>] . By 1968, the term “Coronavirus” was endorsed for this group of viruses describing their unique characteristics [<xref ref-type="bibr" rid="scirp.110130-ref2">2</xref>] .</p><p>HCoVs are enveloped viruses with a single-stranded, positive-sense RNA genome, approximately 30 kb in size, which is the largest known genome for RNA virus [<xref ref-type="bibr" rid="scirp.110130-ref3">3</xref>] . The genus “HCoV” belongs to the family of Coronaviridae in the order Nidovirales [<xref ref-type="bibr" rid="scirp.110130-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref5">5</xref>] . Moreover, HCoVs are widely distributed among birds, mammals, and humans [<xref ref-type="bibr" rid="scirp.110130-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref7">7</xref>] . Dramatically, the earliest endemic of human HCoV dated back to the 1960s, when HCoV-OC43 and HCoV-229E were first reported [<xref ref-type="bibr" rid="scirp.110130-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref9">9</xref>] .</p><p>Around six species of HCoVs have been identified, that causes infections in human; 229E, OC43, NL63, and HKU1, and presenting symptoms are similar to the common cold [<xref ref-type="bibr" rid="scirp.110130-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref10">10</xref>] . On the other hand, the other two species are considered zoonotic that provoke a severe acute respiratory syndrome (SARS-CoV), which was linked to the outbreak that occurred in Guangdong Province, the People’s Republic of China in 2002 and 2003. SARS-CoV, may in some cases lead to systemic infection and eventually death (about 10% of cases) [<xref ref-type="bibr" rid="scirp.110130-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref13">13</xref>] . Another outbreak of coronavirus was notified in the Middle East, known as the Middle East respiratory syndrome coronavirus (MERS-CoV) [<xref ref-type="bibr" rid="scirp.110130-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref16">16</xref>] .</p><p>On 31 December 2019, the local World Health Organization (WHO) office was alarmed with several pneumonia cases of etiology not known before, emerging in Wuhan, Hubei Province of China [<xref ref-type="bibr" rid="scirp.110130-ref17">17</xref>] . On 7 January 2020, the Chinese health authorities confirmed that this cluster was associated with a novel coronavirus, and it was called 2019-nCoV [<xref ref-type="bibr" rid="scirp.110130-ref18">18</xref>] . Subsequently, the task of experts of the International Committee on Taxonomy of Viruses named it severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [<xref ref-type="bibr" rid="scirp.110130-ref19">19</xref>] owing to similarities to SARS-CoVs that caused the SARS outbreak in 2003. In February 2020, WHO named the disease caused by SARS-CoV-2 as COVID-19, which stands for coronavirus disease 2019 [<xref ref-type="bibr" rid="scirp.110130-ref20">20</xref>] . Further, on 11 March 2020, WHO declared COVID-19, a global pandemic [<xref ref-type="bibr" rid="scirp.110130-ref21">21</xref>] .</p><p>Initial cases were proposed to be linked to a seafood wholesale market in Wuhan [<xref ref-type="bibr" rid="scirp.110130-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref23">23</xref>] . Clinical presentation ranged from asymptomatic/mild symptoms to severe illness and death. The main symptoms are fever, cough, fatigue, shortness of breath, anorexia, and the presence of invasive lesions in bilateral lungs. Some patients may develop complete respiratory failure requiring intensive care for mechanical ventilation [<xref ref-type="bibr" rid="scirp.110130-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref26">26</xref>] . Evidence suggests that symptoms may develop 2 - 14 days after getting infected with the virus, and the mean incubation period, 5 days [<xref ref-type="bibr" rid="scirp.110130-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref30">30</xref>] .</p><p>The first case of COVID-19 in the KSA was reported on 2 March 2020 from Qatif, an eastern region through a Saudi citizen who had recently visited Iran. At the time Iran had already reported multiple cases of COVID-19. Further, the second case was reported on 4 March 2020 who had contact with the first case [<xref ref-type="bibr" rid="scirp.110130-ref31">31</xref>] . Concomitantly, until 27 June 2020, about 170,639 confirmed cases have been reported throughout KSA with 1428 deaths, as announced by the Saudi Ministry of Health (MOH) [<xref ref-type="bibr" rid="scirp.110130-ref32">32</xref>] .</p><p>Since the introduction of COVID-19 in the Najran region and until 2 June 2020, there has been only one study that had evaluated the knowledge of HCWs about this new disease [<xref ref-type="bibr" rid="scirp.110130-ref33">33</xref>] . Therefore, this study aims to identify the epidemiology and clinical characteristics of the first 500 positive cases of COVID-19 in Najran province, KSA, and to explore the association of potential risk factors with symptoms occurrence of COVID-19.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Study Design and Participants</title><p>This investigation employed a retrospective design study. The study included real-time reverse transcriptase-polymerase chain reaction (RT-PCR) confirmed COVID-19 cases from 13 different hospitals (public and private) across Najran province, KSA. Data collection had been undertaken from 1 March 2020 until 1 July 2020. Approval to conduct the study was granted by the Institutional Review Board at The General Directorate of Health Affairs, Najran (approval number 2020-07 E). Patients' eligibility to be included in the current study was determined through a confirmed positive COVID-19 test result and admission to one of the hospitals. COVID-19 test was done utilizing RT-PCR assay for a naso/oropharyngeal swab of COVID-19 suspected patients, as per the Saudi MOH guidelines [<xref ref-type="bibr" rid="scirp.110130-ref34">34</xref>] . A suspected case presented with one or more of the following symptoms; fever or history of fever, cough/dyspnea, and a travel history to known areas, currently identified as having an epidemic, or direct contact with a confirmed case of COVID-19.</p><p>In this study, we classified patients with COVID-19 as asymptomatic (a confirmed case with no symptoms) and symptomatic (a confirmed case with symptoms). The severity of symptomatic cases was categorized as mild, moderate, severe, and critical as per the therapeutic protocol for COVID-19 patients issued by Saudi MOH (version 1.1). Disease severity was considered mild or moderate if mechanical ventilation was not required; while severe if the patient condition met at least one of the following criteria; respiratory distress with respiratory rate ≥ 30/min, blood oxygen saturation (SPO<sub>2</sub>) ≤ 93% at rest, the arterial partial pressure of oxygen/inspired oxygen fraction ratio, (PaO<sub>2</sub>/FiO<sub>2</sub>) ≤ 300 mm Hg and lung infiltration &gt; 50% of the lung field within 24 - 48 hours of admission. The case was classified as critical, if at least one or more symptoms of acute respiratory distress syndrome (ARDS), sepsis, altered consciousness, and multi-organ failure were present. Patient with cytokine release syndrome (criteria for patients at high risk for developing cytokine storm [1 or more of the following: Serum IL-6 ≥ 3x upper normal limit, Ferritin &gt; 300 μg/L (or surrogate) with doubling within 24 hours, Ferritin &gt; 600 μg/L at presentation and LDH &gt; 250 and Elevated D-dimer (&gt;1 mcg/mL)].</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>For confirmation, a naso/oropharyngeal swab specimen was collected from all the suspected cases by a trained healthcare worker (HCW). Following collection, the specimens were sent to regional laboratories, either in Jeddah or Asir. The shipping condition of the samples was maintained by the carrier companies assuring the stability of the specimens during transportation. IPC department in each hospital had provided the patient data. The collected data included demographic, vital signs, clinical signs/symptoms, incubation period, travel or exposure history, etc.</p></sec><sec id="s2_3"><title>2.3. Statistical Analysis</title><p>Statistical analysis was performed using the statistical packages IBMSPSS (version 20). Data in this study has been expressed as percentages (%) and percentiles (25<sup>th</sup> Q1 &amp; 75<sup>th</sup> Q3). Factors associated with being symptomatic were identified by using logistic regressions. The univariate model was used to find significant associative factors independently and later all the significant factors were analyzed collectively in a multivariate model. A probability (P) value less than 0.05 was considered significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p>A total of 500 COVID-19 positive cases were included in the study. The demographic and historical characteristics of cases are shown in <xref ref-type="table" rid="table1">Table 1</xref>. The median age of the cases was 31 years, and the majority were males 333 (66.6%). Most of the cases were Saudi nationals 243 (48.6%), followed by Yemenis 94 (18.8%) while other nationalities included; Syrians and Indonesians at 6 (0.6%) and 1 (0.2%), respectively. About 34 (6.8%) of cases were HCWs, 13 (2.6%) were</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic and historical characteristics of 500 positive COVID-19 cases in the Najran region, KSA</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variable</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Age, Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >(23 - 40)</td></tr><tr><td align="center" valign="middle"  rowspan="10"  >Nationality</td><td align="center" valign="middle" >Saudi</td><td align="center" valign="middle" >243</td><td align="center" valign="middle" >48.6</td></tr><tr><td align="center" valign="middle" >Yemeni</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >18.8</td></tr><tr><td align="center" valign="middle" >Bangladeshi</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >8.6</td></tr><tr><td align="center" valign="middle" >Indian</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >11.6</td></tr><tr><td align="center" valign="middle" >Pakistani</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >2.8</td></tr><tr><td align="center" valign="middle" >Indonesian</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >Egyptian</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >4.6</td></tr><tr><td align="center" valign="middle" >Sudanese</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle" >Syrian</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >Filipino</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >F</td><td align="center" valign="middle" >167</td><td align="center" valign="middle" >33.4</td></tr><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" >333</td><td align="center" valign="middle" >66.6</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >HCW</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >466</td><td align="center" valign="middle" >93.2</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >6.8</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Smoker</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >487</td><td align="center" valign="middle" >97.4</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Diabetes Mellitus</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >398</td><td align="center" valign="middle" >79.6</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >20.4</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Hypertension</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >434</td><td align="center" valign="middle" >86.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >13.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Allergies</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >496</td><td align="center" valign="middle" >99.2</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Pulmonary Disease</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >491</td><td align="center" valign="middle" >98.2</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1.8</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Pregnancy</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >493</td><td align="center" valign="middle" >98.6</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Cardiovascular diseases</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >498</td><td align="center" valign="middle" >99.6</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.4</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Kidney Disease</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >499</td><td align="center" valign="middle" >99.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >Central Nervous disease</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Liver Disease</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Tuberculosis</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>Q1: First quartile; Q3: Third quartile.</p><p>smokers, and 7 (1.4%) were pregnant. The most common comorbid diseases were Diabetes Miletus 102 (DM 20.4%) hypertension 66 (HTN 13.2%), and chronic pulmonary disease 9 (1.8%).</p><p><xref ref-type="table" rid="table2">Table 2</xref> demonstrates the clinical presentation of the cases included in the study. Approximately 339 (67.8%) of the patients were admitted to a hospital with symptoms. The most common symptoms on admission were fever 281 (56.2%), cough 266 (53.2%), shortness of breath 166 (33.2%), and malaise 113 (22.6%). Interestingly, vital signs for most of the patients were near normal. The mean temperature of the patients was 37˚C (98.6 F), pulse rate 85 per min, respiratory rate 22 per min, blood pressure 126/79 mm hg (systolic/diastolic), and the mean SPO<sub>2</sub> 96%.</p><p>In terms of the clinical course of the COVID-19, <xref ref-type="fig" rid="fig1">Figure 1</xref> displays the median incubation period, which was 5 days (4 - 6). The median of the symptomatic period was 4 days (3 - 6), the latent period was 4 days (3 - 5) while the median of the positivity period was 11 days (9 - 14).</p><p>From <xref ref-type="fig" rid="fig2">Figure 2</xref>, the analysis of disease severity showed that the majority 310 (62%) of the cases presented with mild disease. Roughly, 160 (32%) of patients reported moderate disease, and only a small minority 20 and 10 (4% and 2%) of the cases presented with severe and critical disease, respectively.</p><p>Factors associated with being symptomatic are presented in <xref ref-type="table" rid="table3">Table 3</xref>. According to logistic regression, in univariate analysis, nationality, age, and DM were significantly associated factors (P &lt; 0.05). In multivariate analysis, nationality,</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Clinical presentation of 500 positive COVID-19 cases in the Najran region, KSA</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variable</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Symptomatic</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >161</td><td align="center" valign="middle" >32.2</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >339</td><td align="center" valign="middle" >67.8</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Fever</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >219</td><td align="center" valign="middle" >43.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >281</td><td align="center" valign="middle" >56.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Malaise</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >387</td><td align="center" valign="middle" >77.4</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >113</td><td align="center" valign="middle" >22.6</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Cough</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >234</td><td align="center" valign="middle" >46.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >53.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Short Breath</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >334</td><td align="center" valign="middle" >66.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >33.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sore Throat</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >405</td><td align="center" valign="middle" >81.0</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >19.0</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Runny Nose</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >476</td><td align="center" valign="middle" >95.2</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >4.8</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Diarrhea</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >460</td><td align="center" valign="middle" >92.0</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >8.0</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Vomiting</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >465</td><td align="center" valign="middle" >93.0</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >7.0</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Abdominal Pain</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >489</td><td align="center" valign="middle" >97.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Myalgia</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >468</td><td align="center" valign="middle" >93.6</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >6.4</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Arthralgia</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >479</td><td align="center" valign="middle" >95.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >4.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Chest Pain</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >489</td><td align="center" valign="middle" >97.8</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >2.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Nausea</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >483</td><td align="center" valign="middle" >96.6</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >3.4</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Headache</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >420</td><td align="center" valign="middle" >84.0</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >16.0</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Pneumonia</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >385</td><td align="center" valign="middle" >77</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >115</td><td align="center" valign="middle" >23</td></tr><tr><td align="center" valign="middle" >Temperature, Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >(37 - 38)</td></tr><tr><td align="center" valign="middle" >Pulse Rate, Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >(80 - 96)</td></tr><tr><td align="center" valign="middle" >Respiration Rate, Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >(20 - 24)</td></tr><tr><td align="center" valign="middle" >Blood Pressure “Systolic”, Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >(116 - 136)</td></tr><tr><td align="center" valign="middle" >Blood Pressure “Diastolic”, Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >(70 - 84)</td></tr><tr><td align="center" valign="middle" >Peripheral capillary oxygen saturation (SPO<sub>2</sub>), Median (Q1 - Q3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >(94 - 98)</td></tr></tbody></table></table-wrap><p>Q1: First quartile; Q3: Third quartile.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Factors associated with symptomatic patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Factor</th><th align="center" valign="middle"  rowspan="2"  >N (%)</th><th align="center" valign="middle" >Univariate analysis</th><th align="center" valign="middle"  rowspan="2"  >P</th><th align="center" valign="middle" >Multivariate analysis</th><th align="center" valign="middle"  rowspan="2"  >P</th></tr></thead><tr><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >OR (95% CI)</td></tr><tr><td align="center" valign="middle" >Nationality</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Non Saudi</td><td align="center" valign="middle" >254 (49.2)</td><td align="center" valign="middle" >2.968 (2.002 - 4.400)</td><td align="center" valign="middle" >0.001*</td><td align="center" valign="middle" >2.755 (1.77 - 4.221)</td><td align="center" valign="middle" >0.001*</td></tr><tr><td align="center" valign="middle" >Saudi</td><td align="center" valign="middle" >246 (50.8)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.045 (1.033 - 1.058)</td><td align="center" valign="middle" >0.001*</td><td align="center" valign="middle" >1.035 (1.023 - 1.048)</td><td align="center" valign="middle" >0.001*</td></tr><tr><td align="center" valign="middle" >Chronic Diseases</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >DM</td><td align="center" valign="middle" >102 (40.4)</td><td align="center" valign="middle" >4.05 (2.188 - 7.507)</td><td align="center" valign="middle" >0.001*</td><td align="center" valign="middle" >3.238 (1.667 - 6.253)</td><td align="center" valign="middle" >0.001*</td></tr><tr><td align="center" valign="middle" >Non-DM</td><td align="center" valign="middle" >398 (79.6)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>DM: Diabetes mellitus; CI: Confidence Interval; OR: Odds Ratio *Signiant at 0.05.</p><p>age, and DM were also independently significantly associated with the appearance of the symptoms (P &lt; 0.05). Compared to Saudi nationals, other nationality patients were most likely to have symptoms (β = 2.968, CI = 2.002 - 4.400, P = 0.001). For every 1 year increase in age, the risk of developing symptoms increased by 5.8% (β = 1.045, CI = 1.033 - 1.058, P = 0.001). Compared with non-DM patients, DM patients had 4.05 times higher risk (β = 4.05, CI = 2.188 - 7.507, P = 0.001) of getting symptoms.</p></sec><sec id="s4"><title>4. Discussion</title><p>Early identification studies, via next-generation sequencing and culture isolates of respiratory tract samples, have revealed that the genome of SARS-CoV-2 is 79% and 50% identical to SARS-CoV and MERS-CoV respectively [<xref ref-type="bibr" rid="scirp.110130-ref35">35</xref>] . Data from the epidemiological, clinical characteristics and therapeutic outcomes of patients of COVID-19 need an evaluation. To the best of our knowledge, the current study is the first to investigate the epidemiological and clinical characteristics of 500 patients with COVID-19 in the south region of the KSA.</p><p>Since the introduction and until 1 June 2020, 137 cases were reported by the appropriate authorities in the Najran region. But there had been an exponential increase in the number of cases since lockdown measures were removed and as of June 26, 2020, a total of 881 cases have been reported.</p><p>Similar to previously published studies, the findings in this study indicate the high contagiousness of this novel virus either via direct or indirect contact [<xref ref-type="bibr" rid="scirp.110130-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref37">37</xref>] . Nearly all of the patients included in the study had no recent travel history (<xref ref-type="table" rid="table1">Table 1</xref>). Of all the patients, 339 (67.8%) were symptomatic; fever 281 (56.2%), malaise 113 (22.6%), and cough 266 (53.2%), and these were the most common presenting symptoms. Other symptoms such as shortness of breath, nausea/vomiting, abdominal pain, and diarrhea were not very common in this study. Further, at the time of admission 161 (32.2%) patients were asymptomatic. Therefore, a comprehensive assessment of the patient's condition is crucial to avoid a missed diagnosis. Results in this study are uniform with several other published studies that have highlighted the epidemiological and clinical characteristics of COVID-19 [<xref ref-type="bibr" rid="scirp.110130-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref38">38</xref>] .</p><p>Further, the study confirms that people from all age groups are equally susceptible to the COVID-19 infection, with a median age of 31 years in this study. Infection was more common in males (N = 333, 66.6%) compared to females (N = 167, 33.4%) and this trend has been reported previously in many published studies [<xref ref-type="bibr" rid="scirp.110130-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref39">39</xref>] . This might be due to differences among males and females rooted in their anatomy, physiology, biochemistry, genetics, and lifestyle, specifically with the increased pieces of evidence concerning health and health outcomes [<xref ref-type="bibr" rid="scirp.110130-ref40">40</xref>] . For example, men tend to use all tobacco products at higher rates than women [<xref ref-type="bibr" rid="scirp.110130-ref41">41</xref>] , smoking may help increase the expression of angiotensin-converting enzyme 2 in lung tissue, which plays a key role in SARS-CoV-2 infection [<xref ref-type="bibr" rid="scirp.110130-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref43">43</xref>] . This might also explain the higher number of infections among middle or elderly-aged males who are more likely to be smokers. Of all cases, 34 (6.8%) were HCWs, which supports the rapid transmissibility of the novel disease across health care settings [<xref ref-type="bibr" rid="scirp.110130-ref42">42</xref>] .</p><p>The presence of other comorbid diseases was found to be important risk factors for COVID-19. According to the latest reports, the clinical manifestations of COVID-19 are heterogeneous [<xref ref-type="bibr" rid="scirp.110130-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref47">47</xref>] , e.g., 20% - 51% of patients reported having at least one comorbidity on admission, with DM (10% - 20%), HTN (10% - 15%), and other cardiovascular and cerebrovascular diseases (7% - 40%) being most common [<xref ref-type="bibr" rid="scirp.110130-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref47">47</xref>] .</p><p>Our findings disclosed similar comorbid conditions compared to the other published results i.e. DM (20.4%) and HTN (13.2%), followed by 2.6% for allergies and pulmonary disease each. 2 females were pregnant in this study but the outcome could not be evaluated as the expected date of delivery was beyond the current study period.</p><p>The clinical manifestations of COVID-19 in this study were wide-ranged, from being asymptomatic to mild or severe. At &lt;4% severe cases and 32% moderate cases, the findings (<xref ref-type="fig" rid="fig2">Figure 2</xref>) indicate that the case severity was not as much of what has been described in published literature elsewhere (severity &gt; 20%) [<xref ref-type="bibr" rid="scirp.110130-ref44">44</xref>] .</p><p>This significant finding may be attributable to the health outcomes, the lifestyle of the population in the Najran region, the geography of the region itself as a desert mountainous hot area, or other factors that need further evaluation. Yet, patients from all age groups are equally vulnerable even in the absence of any comorbidity. There were two deaths reported but the exact cause of death remains uncertain. One was 20 years old Saudi national with a chest infection at the time of admission with no other underlying health condition and the other was 51 years old asymptomatic Yemeni national. This study demonstrates an association between the presence of COVID-19 symptoms and DM. This association indicates that DM may independently contribute to an increase in the susceptibility of COVID-19 in patients with DM. This finding is corresponding to previously reported work found that people with DM at greater risk of COVID-19 [<xref ref-type="bibr" rid="scirp.110130-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref3">3</xref>] .</p><p>Although other published studies advise that the presence of any comorbidity may increase the risk of developing ARDS especially in patients with H7N9, influenza, SARS-CoV, MERS-CoV, and SARS-CoV-2 infection [<xref ref-type="bibr" rid="scirp.110130-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref48">48</xref>] , Patients with any comorbidity yield poorer clinical outcomes than those without any [<xref ref-type="bibr" rid="scirp.110130-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref44">44</xref>] .</p><p>Interestingly, our study revealed that people from other nationalities developed symptoms at a higher frequency than Saudi nationals, which might be interpreted to the immunity acquired previously from MERS-CoV but it needs further evaluation [<xref ref-type="bibr" rid="scirp.110130-ref48">48</xref>] . Gender, nationality, and health status can pose both a challenge and an opportunity during the outbreak, as well as potent predictors for disease risk [<xref ref-type="bibr" rid="scirp.110130-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref50">50</xref>] .</p><p>Results revealed the median time between known exposure and becoming infected was around 4 days. While the median duration from onset of symptoms to admission to a hospital was 4 days and the incubation period median was 5 days, which is in agreement with existing results elsewhere [<xref ref-type="bibr" rid="scirp.110130-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.110130-ref38">38</xref>] .</p></sec><sec id="s5"><title>5. Strengths and Limitations</title><p>Nonetheless, our study had certain limitations, specifically in study design. First, we could include only 500 confirmed cases, which are relatively small sample size. Second, the issue of recall bias could not have been eliminated, with patients giving inaccurate information on the date/mode of exposure or travel or onset of symptoms and their identification. The strengths of this study include detailed demographical data and clinical presentation of cases, and the use of multivariate analyses to identify the fundamental factors associated with the existence of symptoms. Novel findings of the study included confirmation of the risk factors among specific gender, age groups, and nationalities.</p></sec><sec id="s6"><title>6. Conclusion</title><p>The most frequent symptoms in the study were fever, cough, short breath, and malaise. The severity of the disease was low in the Najran region, which requires further evaluation. Age, nationality, and DM were found as the main risk factors linked with SARS-CoV-2 symptomatic infection in the Najran region. Further studies are needed to explore the reasons behind the low severity of COVID-19 infection in the Najran region, KSA.</p></sec><sec id="s7"><title>Acknowledgements</title><p>We are thankful to all the hospitals in the Najran region for cooperation and facilitation of the data collection.</p></sec><sec id="s8"><title>Ethical Approval</title><p>This study was approved by the Institutional Review Board at The General Directorate of Health Affairs, Najran (approval number 2020-07 E).</p></sec><sec id="s9"><title>Availability of Data and Material</title><p>The data will be available when it’s needed.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>None of the authors have any conflict of interest.</p></sec><sec id="s11"><title>Cite this paper</title><p>Al Sulayyim, H.J., Al-Noaemi, M.Ch, Alyami, M.M., Ahmad, S., Alyami, M.H., Alyami, H.S., Al-Swedan, A.D., Banihameem, I.S., Sedran, M.A., Al-Zubaidi, A.M. and Al Abbas, O.M. (2021) Epidemiology and Clinical Characteristics of the First 500 Positive Cases of COVID-19. A Multicenter Retrospective Study across the Najran Region of the Kingdom of Saudi Arabia (KSA). Open Journal of Epidemiology, 11, 222-236. https://doi.org/10.4236/ojepi.2021.113019</p></sec><sec id="s12"><title>Abbreviation</title><p>COVID-19: Coronavirus Disease 2019</p><p>HCoV: Human Coronavirus</p><p>SARS-CoV: Severe Acute Respiratory Syndrome</p><p>MERS-CoV: Middle East Respiratory Syndrome Coronavirus</p><p>WHO: World Health Organization</p><p>KSA: Kingdom of Saudi Arabia</p><p>MOH: Ministry of Health</p><p>HCW: HealthCare Worker</p><p>RT-PCR: Reverse Transcriptase-Polymerase Chain Reaction</p><p>IPC: Infection Prevention and Control</p><p>P: Probability</p><p>DM: Diabetes Miletus</p><p>HTN: Hypertension</p><p>SPO<sub>2</sub>: Peripheral Capillary Blood Oxygen Saturation</p></sec></body><back><ref-list><title>References</title><ref id="scirp.110130-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Tyrrell, D.A.J. and Bynoe, M.L. (1965) Cultivation of a Novel Type of Common Cold Virus in Organ Culture. 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