Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014
Identifieur interne : 000807 ( Pmc/Corpus ); précédent : 000806; suivant : 000808Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014
Auteurs : Abdulsalam A. Noorwali ; Abdulhafiz M. Turkistani ; Sari I. Asiri ; Fadel A. Trabulsi ; Osama M. Alwafi ; Saud H. Alzahrani ; Muhammad M. Rashid ; Safwat A. Hegazy ; Mohammed D. Alzaydi ; Khalid O. BawakidSource :
- Annals of Saudi Medicine [ 0256-4947 ] ; 2015.
Abstract
Describe the epidemiology and characteristics of Middle East respiratory syndrome coronavirus (MERS-CoV), which are essential for control and treatment.
We conducted a retrospective review of all cases of MERS-CoV reported in four cities of the Makkah Region from March to June 2014. Exposure factors and comorbid conditions were analyzed using Epi Info.
Analysis of the 261 cases revealed that the incidence peaked in mid-April 2014 and the fatality rate was 42%. Cough, fever, radiological evidence of pneumonia, and shortness of breath were identified as significant risk factors for a diagnosis of MER-CoV infection. Healthcare workers (HCWs) are at a higher risk of acquiring MERS-CoV than non-HCWs. Males in Jeddah are at higher risk due to greater outdoor exposure while females in Taif are at higher risk due to domestic caregiving. Filipino nurses are at highest risk among all HCWs.
The findings indicate the need to screen all contacts of HCWs to improve MERS control and form public–private partnerships to investigate the true burden of MERS.
Url:
DOI: 10.5144/0256-4947.2015.203
PubMed: 26409794
PubMed Central: 6074457
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014</title><author><name sortKey="Noorwali, Abdulsalam A" sort="Noorwali, Abdulsalam A" uniqKey="Noorwali A" first="Abdulsalam A." last="Noorwali">Abdulsalam A. Noorwali</name></author><author><name sortKey="Turkistani, Abdulhafiz M" sort="Turkistani, Abdulhafiz M" uniqKey="Turkistani A" first="Abdulhafiz M." last="Turkistani">Abdulhafiz M. Turkistani</name></author><author><name sortKey="Asiri, Sari I" sort="Asiri, Sari I" uniqKey="Asiri S" first="Sari I." last="Asiri">Sari I. Asiri</name></author><author><name sortKey="Trabulsi, Fadel A" sort="Trabulsi, Fadel A" uniqKey="Trabulsi F" first="Fadel A." last="Trabulsi">Fadel A. Trabulsi</name></author><author><name sortKey="Alwafi, Osama M" sort="Alwafi, Osama M" uniqKey="Alwafi O" first="Osama M." last="Alwafi">Osama M. Alwafi</name></author><author><name sortKey="Alzahrani, Saud H" sort="Alzahrani, Saud H" uniqKey="Alzahrani S" first="Saud H." last="Alzahrani">Saud H. Alzahrani</name></author><author><name sortKey="Rashid, Muhammad M" sort="Rashid, Muhammad M" uniqKey="Rashid M" first="Muhammad M." last="Rashid">Muhammad M. Rashid</name></author><author><name sortKey="Hegazy, Safwat A" sort="Hegazy, Safwat A" uniqKey="Hegazy S" first="Safwat A." last="Hegazy">Safwat A. Hegazy</name></author><author><name sortKey="Alzaydi, Mohammed D" sort="Alzaydi, Mohammed D" uniqKey="Alzaydi M" first="Mohammed D." last="Alzaydi">Mohammed D. Alzaydi</name></author><author><name sortKey="Bawakid, Khalid O" sort="Bawakid, Khalid O" uniqKey="Bawakid K" first="Khalid O." last="Bawakid">Khalid O. Bawakid</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26409794</idno><idno type="pmc">6074457</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6074457</idno><idno type="RBID">PMC:6074457</idno><idno type="doi">10.5144/0256-4947.2015.203</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000807</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000807</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014</title><author><name sortKey="Noorwali, Abdulsalam A" sort="Noorwali, Abdulsalam A" uniqKey="Noorwali A" first="Abdulsalam A." last="Noorwali">Abdulsalam A. Noorwali</name></author><author><name sortKey="Turkistani, Abdulhafiz M" sort="Turkistani, Abdulhafiz M" uniqKey="Turkistani A" first="Abdulhafiz M." last="Turkistani">Abdulhafiz M. Turkistani</name></author><author><name sortKey="Asiri, Sari I" sort="Asiri, Sari I" uniqKey="Asiri S" first="Sari I." last="Asiri">Sari I. Asiri</name></author><author><name sortKey="Trabulsi, Fadel A" sort="Trabulsi, Fadel A" uniqKey="Trabulsi F" first="Fadel A." last="Trabulsi">Fadel A. Trabulsi</name></author><author><name sortKey="Alwafi, Osama M" sort="Alwafi, Osama M" uniqKey="Alwafi O" first="Osama M." last="Alwafi">Osama M. Alwafi</name></author><author><name sortKey="Alzahrani, Saud H" sort="Alzahrani, Saud H" uniqKey="Alzahrani S" first="Saud H." last="Alzahrani">Saud H. Alzahrani</name></author><author><name sortKey="Rashid, Muhammad M" sort="Rashid, Muhammad M" uniqKey="Rashid M" first="Muhammad M." last="Rashid">Muhammad M. Rashid</name></author><author><name sortKey="Hegazy, Safwat A" sort="Hegazy, Safwat A" uniqKey="Hegazy S" first="Safwat A." last="Hegazy">Safwat A. Hegazy</name></author><author><name sortKey="Alzaydi, Mohammed D" sort="Alzaydi, Mohammed D" uniqKey="Alzaydi M" first="Mohammed D." last="Alzaydi">Mohammed D. Alzaydi</name></author><author><name sortKey="Bawakid, Khalid O" sort="Bawakid, Khalid O" uniqKey="Bawakid K" first="Khalid O." last="Bawakid">Khalid O. Bawakid</name></author></analytic><series><title level="j">Annals of Saudi Medicine</title><idno type="ISSN">0256-4947</idno><idno type="eISSN">0975-4466</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>BACKGROUND AND OBJECTIVES</title><p>Describe the epidemiology and characteristics of Middle East respiratory syndrome coronavirus (MERS-CoV), which are essential for control and treatment.</p></sec><sec><title>METHODS</title><p>We conducted a retrospective review of all cases of MERS-CoV reported in four cities of the Makkah Region from March to June 2014. Exposure factors and comorbid conditions were analyzed using Epi Info.</p></sec><sec><title>RESULTS</title><p>Analysis of the 261 cases revealed that the incidence peaked in mid-April 2014 and the fatality rate was 42%. Cough, fever, radiological evidence of pneumonia, and shortness of breath were identified as significant risk factors for a diagnosis of MER-CoV infection. Healthcare workers (HCWs) are at a higher risk of acquiring MERS-CoV than non-HCWs. Males in Jeddah are at higher risk due to greater outdoor exposure while females in Taif are at higher risk due to domestic caregiving. Filipino nurses are at highest risk among all HCWs.</p></sec><sec><title>CONCLUSION</title><p>The findings indicate the need to screen all contacts of HCWs to improve MERS control and form public–private partnerships to investigate the true burden of MERS.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Hemida, Mg" uniqKey="Hemida M">MG Hemida</name></author><author><name sortKey="Chu, Dkw" uniqKey="Chu D">DKW Chu</name></author><author><name sortKey="Poon, Lml" uniqKey="Poon L">LML Poon</name></author><author><name sortKey="Perera, Rapm" uniqKey="Perera R">RAPM Perera</name></author><author><name sortKey="Alhammadi, Ma" uniqKey="Alhammadi M">MA Alhammadi</name></author><author><name sortKey="Ng, Hy" uniqKey="Ng H">HY Ng</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Memish, Za" uniqKey="Memish Z">ZA Memish</name></author><author><name sortKey="Zumla, Ai" uniqKey="Zumla A">AI 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Ann Saudi Med</journal-id><journal-id journal-id-type="iso-abbrev">Ann Saudi Med</journal-id><journal-title-group><journal-title>Annals of Saudi Medicine</journal-title></journal-title-group><issn pub-type="ppub">0256-4947</issn><issn pub-type="epub">0975-4466</issn><publisher><publisher-name>King Faisal Specialist Hospital and Research Centre</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26409794</article-id><article-id pub-id-type="pmc">6074457</article-id><article-id pub-id-type="doi">10.5144/0256-4947.2015.203</article-id><article-id pub-id-type="publisher-id">asm-3-203</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Descriptive epidemiology and characteristics of confirmed cases of Middle East respiratory syndrome coronavirus infection in the Makkah Region of Saudi Arabia, March to June 2014</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Noorwali</surname><given-names>AbdulSalam A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Turkistani</surname><given-names>AbdulHafiz M.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Asiri</surname><given-names>Sari I.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Trabulsi</surname><given-names>Fadel A.</given-names></name></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Alwafi</surname><given-names>Osama M.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Alzahrani</surname><given-names>Saud H.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Rashid</surname><given-names>Muhammad M.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Hegazy</surname><given-names>Safwat A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Alzaydi</surname><given-names>Mohammed D.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Bawakid</surname><given-names>Khalid O.</given-names></name></contrib><aff id="af1-asm-3-203">Directorate General of Health Affairs, Public Health, Makkah, Saudi Arabia</aff></contrib-group><author-notes><corresp id="c1-asm-3-203">Correspondence: Dr. Osama M. Alwafi, Al Rosefah St. Makkah 17797, Saudi Arabia, T: 966-125293231, <email>mu_research@yahoo.com</email></corresp></author-notes><pub-date pub-type="ppub"><season>May-Jun</season><year>2015</year></pub-date><volume>35</volume><issue>3</issue><fpage>203</fpage><lpage>209</lpage><permissions><copyright-statement>Copyright © 2015, Annals of Saudi Medicine</copyright-statement><copyright-year>2015</copyright-year><license><license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License</ext-link>.</license-p></license></permissions><abstract><sec><title>BACKGROUND AND OBJECTIVES</title><p>Describe the epidemiology and characteristics of Middle East respiratory syndrome coronavirus (MERS-CoV), which are essential for control and treatment.</p></sec><sec><title>METHODS</title><p>We conducted a retrospective review of all cases of MERS-CoV reported in four cities of the Makkah Region from March to June 2014. Exposure factors and comorbid conditions were analyzed using Epi Info.</p></sec><sec><title>RESULTS</title><p>Analysis of the 261 cases revealed that the incidence peaked in mid-April 2014 and the fatality rate was 42%. Cough, fever, radiological evidence of pneumonia, and shortness of breath were identified as significant risk factors for a diagnosis of MER-CoV infection. Healthcare workers (HCWs) are at a higher risk of acquiring MERS-CoV than non-HCWs. Males in Jeddah are at higher risk due to greater outdoor exposure while females in Taif are at higher risk due to domestic caregiving. Filipino nurses are at highest risk among all HCWs.</p></sec><sec><title>CONCLUSION</title><p>The findings indicate the need to screen all contacts of HCWs to improve MERS control and form public–private partnerships to investigate the true burden of MERS.</p></sec></abstract></article-meta></front><body><p>Middle East respiratory syndrome (MERS) is caused by one of many coronaviruses. The MERS virus is found primarily in some animals, such as dromedary camels<xref rid="b1-asm-3-203" ref-type="bibr">1</xref> and bats, and is likely transmitted to humans through an intermediate host MERS-CoV is phylogenetically related to bat coronaviruses. MERS-CoV is also found in dromedary camels and is a potential risk factor for human transmission. It acts as an intermediate host and its transmission cycle remains unresolved.<xref rid="b2-asm-3-203" ref-type="bibr">2</xref>–<xref rid="b4-asm-3-203" ref-type="bibr">4</xref></p><p>MERS has a variable incubation period and is transmitted through respiratory droplets and contact with contaminated surfaces. Infection with the virus causes mild to acute and fulminant disease in patients with co-morbid conditions and may be fatal if not diagnosed promptly and treated appropriately.<xref rid="b5-asm-3-203" ref-type="bibr">5</xref>,<xref rid="b6-asm-3-203" ref-type="bibr">6</xref> It may also cause upper-respiratory tract infections leading to simple cold, rhinitis, cough, sore throat, fever, or gastrointestinal infections such as nausea, vomiting, or diarrhea.<xref rid="b6-asm-3-203" ref-type="bibr">6</xref>,<xref rid="b7-asm-3-203" ref-type="bibr">7</xref> Occasionally, MERS may cause serious pneumonia, particularly in populations who are immunocompromised; <xref rid="b8-asm-3-203" ref-type="bibr">8</xref> or have cardiopulmonary or renal illnesses; or are considered vulnerable, such as the elderly, young, obese, or pregnant.<xref rid="b7-asm-3-203" ref-type="bibr">7</xref> If not diagnosed promptly, MERS may lead to acute respiratory syndrome or death.<xref rid="b6-asm-3-203" ref-type="bibr">6</xref></p><p>In humans, transmission can occur through direct contact with droplets emitted by coughing or sneezing,<xref rid="b9-asm-3-203" ref-type="bibr">9</xref> indirect contact with contaminated objects or surfaces, or close contact by such means as touching or shaking hands.<xref rid="b7-asm-3-203" ref-type="bibr">7</xref> History of travel to endemic regions has also been associated with infection in recent studies in the Netherlands.<xref rid="b10-asm-3-203" ref-type="bibr">10</xref>,<xref rid="b11-asm-3-203" ref-type="bibr">11</xref> Currently, no specific vaccine or treatment is available for immunization against coronaviruses. <xref rid="b6-asm-3-203" ref-type="bibr">6</xref> Therefore, to reduce risk and prevent further spread from asymptomatic sources,<xref rid="b12-asm-3-203" ref-type="bibr">12</xref> simple measures, such as maintaining good respiratory hygiene; washing hands;<xref rid="b13-asm-3-203" ref-type="bibr">13</xref> avoiding touching the eyes, mouth, and nose; and proper waste disposal are recommended.<xref rid="b13-asm-3-203" ref-type="bibr">13</xref>–<xref rid="b16-asm-3-203" ref-type="bibr">16</xref> Along with these measures, vigilance and enhanced surveillance is needed to forecast any clusters or outbreaks.<xref rid="b13-asm-3-203" ref-type="bibr">13</xref>,<xref rid="b17-asm-3-203" ref-type="bibr">17</xref>–<xref rid="b19-asm-3-203" ref-type="bibr">19</xref></p><p>Since initially reported in Saudi Arabia in mid-2012,<xref rid="b13-asm-3-203" ref-type="bibr">13</xref> MERS has been reported in other Middle Eastern countries and on other continents.<xref rid="b13-asm-3-203" ref-type="bibr">13</xref> The origin of the virus is reflected in the naming of the virus as Middle East respiratory syndrome coronavirus (MERS-CoV).<xref rid="b20-asm-3-203" ref-type="bibr">20</xref> In the Makkah region of Saudi Arabia, the majority of confirmed cases have been reported in Jeddah (203 cases), followed by Makkah (39 cases), Taif (13 cases), and Kunfudah (6 cases). To assist in the development of strategies for the reporting, diagnosis, control, and treatment of the virus, we investigated the epidemiology and characteristics of confirmed MERS-CoV infection cases in the Makkah Region of Saudi Arabia from March to June 2014.</p><sec sec-type="methods"><title>METHODS</title><sec><title>Healthcare system of the Makkah region</title><p>The Kingdom of Saudi Arabia is divided into thirteen regions that each has a governorate and sub-governorates with a capital. Makkah is the capital of region while Jeddah is the largest port city. The Ministry of Health (MoH) is the main public institution responsible for provision of preventive, curative, and rehabilitative healthcare services for the entire population. The MoH is not only responsible for the management, planning, financing, and regulation of the healthcare sector through primary healthcare centers (PHCs), generalized and specialized hospitals, but also for overall supervision of private healthcare facilities. After a report of a suspected case of MERS is generated at a PHC, it is sent to secondary or tertiary care hospitals and the relevant health directorates of the MoH for strategic action.</p></sec><sec sec-type="methods"><title>Study setting and design</title><p>This descriptive study was conducted at the Department of Public Health, Directorate General of Health Affairs, Makkah, Kingdom of Saudi Arabia. Secondary data were collected from all confirmed cases that had been reported by public and private hospitals serving four cities of the Makkah Region ( Jeddah, Makkah, Kunfudah, and Taif ) between March and June 2014. The data were compiled in Makkah for retrospective review and analysis.</p></sec><sec sec-type="methods"><title>Data collection and sample selection</title><p>A preformed Excel data sheet listing demographic, clinical, laboratory, radiological, outcome, and epidemiological risk factors was e-mailed to all cities for reporting of data on these factors by designated health officials. The data were cross-checked and clarified and missing data were provided through direct communication with the appropriate health directorates. The variables for which data were collected were patient code; age; sex; nationality; occupation; clinical signs; symptoms; co-morbid conditions; white blood cell (WBC) and platelet (PLT) counts; real-time polymerase chain reaction results; radiological evidence of pneumonia; epidemiological risk factors (i.e., status as a healthcare worker, travel to endemic regions, and/or exposure to a laboratory-confirmed case or MERS-associated animal); time and place of symptom onset; and outcome as recovered, transferred, died, and discharged.</p></sec><sec sec-type="methods"><title>Data analysis</title><p>The Excel sheets were carefully reviewed by the responsible physicians before the data were cleaned of any missing information and then cross-tabulated. Using the Centers for Disease Control (CDC) Epi Info program, data on demographic, clinical, laboratory, and exposure factors and comorbid conditions were analyzed. The odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated as indicators of the strength of associations.</p><p>A <italic>P</italic> value of <.05 was considered an indication of statistical significance. The case fatality rate was calculated by dividing the number of deaths by the total number of confirmed cases.</p></sec><sec><title>Ethical considerations</title><p>The study protocol was approved by the Ethics Review Committee of Makkah Region. Unique patient codes were issued to each study participant to maintain anonymity. Confidentiality was maintained throughout the study and no personal identifiers were listed on the Excel data sheet.</p></sec><sec><title>MERS case definition</title><p>The initial case definition of MERS was the presence of one or more of the symptoms of acute respiratory infection:fever ≥38°C; cough; shortness of breath with radiological evidence of pneumonia; clinical or radiological evidence of pneumonia; and, subsequently, intensive care unit admission. A revised “highly sensitive“ case definition that included broader clinical and laboratory criteria was published on May 13, 2014 and subsequently adopted by the MoH.<xref rid="b21-asm-3-203" ref-type="bibr">21</xref></p></sec></sec><sec sec-type="results"><title>RESULTS</title><p>As of September 6, 2014, 261 confirmed cases had been reported in the Makkah Region between March and June 2014, indicating a MERS incidence of 3.49 per 100 000 (95% CI 3.09–3.95). The majority of cases were reported in Jeddah (203, 78%), followed by Makkah (39, 15%), Taif (13, 5%), and Kunfudah (6, 2%). Of these confirmed cases, 147 (56%) were Saudis (incidence 3.39 per 100000, 95% CI 2.86–3.95) and 114 (44%) non-Saudis (incidence 3.70 per 100 000, 95% CI 3.07–4.43; <xref rid="t1-asm-3-203" ref-type="table">Table 1</xref>). In order of decreasing incidence, the non-Saudis were from the Philippines (27), India (12), Yemen (12), Syria (11), Egypt (9) Palestine (9), Bangladesh (7), Indonesia (6), Sudan (5), Pakistan (4), Burma (3), Jordan (2), Turkey (1), Ethiopia (1), Morocco (1), Lebanon (1), Eritrea (1), South Africa (1), and Australia (1).</p><p>Of confirmed cases, 171 (66%) were males and 90 (34%) females with a ratio of (male: female; 2:1) (<xref ref-type="fig" rid="f1-asm-3-203">Figure 1</xref>). In Jeddah, 143 (70%) were males (mean age 49.7 years, range 8–90 years) and 60 (30%) females (mean age 45.0 years, range 13–75 years). In Makkah, 19 (49%) were males (mean age 44.3 years, range 14–84 years) and 20 (51%) females (mean age 39.5 years, range 18–69 years). In Taif, 5 (38%) were males (mean age 43.2 years, range 31–59 years) and 8 (62%) females (mean age 57.2 years, range 30–74 years). In Kunfudah, 4 (67%) were males (mean age 50.5 years, range 36–65 years) and 2 (33%) females (mean age 35.5 years, range 26–45 years).</p><p>The first index case reported was diagnosed in the last week of March 2014. According to a review of the report, the peak in the number of confirmed cases occurred in mid-April 2014 before the number began to decline in the last week of April 2014, with the last confirmed case reported in June 2014 (<xref ref-type="fig" rid="f2-asm-3-203">Figure 2</xref>, <xref ref-type="fig" rid="f3-asm-3-203">3</xref>). In Makkah, Taif, and Kunfudah, all confirmed cases were reported by public healthcare facilities (HCFs). In Jeddah alone, the cases were reported by both public HCFs (64%) and private HCFs (21%). Among all confirmed cases, only 148 (57%) had recovered or been discharged. The majority of fatal cases had been reported in Jeddah (91 cases, 45%), followed by Makkah (13 cases, 33%), Taif (5 cases, 38%), and Kunfudah (1 case, 16%). Only 2 (5%) cases had been re-hospitalized in Makkah city due to complications (<xref ref-type="fig" rid="f2-asm-3-203">Figure 2</xref>). The fatality rate among all confirmed cases had been 42% (110 cases). As the data is between a limited period (March to June 2014), seasonality cannot be determined.</p><p>Among all confirmed cases, 84 (32%) had been healthcare workers (HCWs) and 177 (68%) had been non-health care workers (non-HCWs; <xref ref-type="fig" rid="f3-asm-3-203">Figure 3</xref>). The majority of HCW cases had been reported in Jeddah (63 cases, 31%), followed by Makkah (16 cases, 41%), Taif (4 cases, 31%), and Kunfudah (1 case, 17%). The majority of HCW cases were nurses (36 cases, 43%), followed by physicians (22 cases, 26%), technicians (8, 9%), administrative clerks (7 cases, 8%), healthcare-related cleaners (5 cases, 6%), and other healthcare-related workers (6 cases, 7%), (<xref rid="t2-asm-3-203" ref-type="table">Table 2</xref>). Epidemiological risk factors for cases in Makkah were travel to Turkey (1 case, 3%), attendance at a festival or pilgrimage (1 case, 3%), contact with an infected human (16 cases, 41%), contact with an animal (3 cases, 7%), and visit to an HCF 14 days prior to symptom onset (22 cases, 56%).</p><p>Epidemiological risk factors for cases in Jeddah were visit to an HCF 14 days prior to symptom onset (59 cases, 29%), travel to domestic cities (2 cases, 1%), attendance at a festival or pilgrimage (3 cases, 1%), contact with an infected human (23 cases, 11%), and contact with an animal (3 cases, 1%) were identified. In Taif, visit to an HCF 14 days prior to symptom onset (1 case, 7%), travel to domestic cities (3 cases, 23%), contact with an infected human (1 case, 7%), and contact with an animal (3 cases, 23%) were identified. In Kunfudah, contact with an infected human (6 cases, 100%) and travel to domestic cities (2 cases, 33%) were identified.</p><p>Regarding symptomatology, 185 cases (71%) showed signs and symptoms while 42 cases (16%) remained asymptomatic. The most common signs and symptoms were cough (170 cases, 65%), fever >38°C (165 cases, 63%), radiological evidence of pneumonia (146 cases, 60%), shortness of breath (136 cases, 52%), joint pain or swelling (137 cases, 52%), fatigue (108 cases, 41%), sore throat (96 cases, 37%), fever with chills (95 cases, 36%), tachypnea (78 cases, 30%), wheezing or abnormal breathing (68 cases, 26%), chest pain (66 cases, 25%), headaches (59 cases, 23%), altered consciousness (53 cases, 20%), pharyngitis (39 cases, 15%), vomiting (32 cases, or 12%), runny nose (30 cases, 11%), diarrhea (27 cases, 10%), abdominal pain (26 cases, 10%), nausea (20 cases, 7%), hemoptysis (11 cases, 4%), local neurological deficit (10 cases, 4%), and conjunctivitis (6 cases, 2%). Of the 122 cases (47%) with co-morbid conditions, the most common were hypertension (76 cases, 29%), diabetes (72 cases, 28%), heart disease (47 cases, 18%), obesity (41 cases, 16%), smoking (41 cases, 16%), chronic renal disease (39 cases, 15%), immune-compromised status (24 cases, 9%), chronic lung disease (19 cases, 7%), steroid use (19 cases, 7%), asthma (12 cases, 5%), chronic liver disease (8 cases, 3%), cancer (5 cases, 2%), pregnancy (5 cases, 2%), chronic hematologic disease (2 cases, 0.7%), systemic lupus erythematosus (2 cases, 0.7%), eclampsia (1 case, 0.4%), and hypothyroid (1 case, 0.4%). Using the WBC count cut-off values of low (<4×10<sup>9</sup>/L), normal (4–11×10<sup>9</sup>/L), and high (>11×10<sup>9</sup>/L), 50 (19%) had a low, 85 (33%) a normal, and 16 (6%) a high WBC count, while data were unavailable for 110 (42%) (<bold>Table 3</bold>). Using the PLT count cutoff values of very low (<50×10<sup>9</sup>/L), low (<150×10<sup>9</sup>/L), normal (150–400×10<sup>9</sup>/L), and high (>400×10<sup>9</sup>/L), 9 (3%) had a very low, 40 (15%) had a low, 98 (38%) had a normal, and 7 (%) had a high PLT count, while data were unavailable for 108 (41%).</p><p>The mortality among non-HCW cases was higher (OR 12.8, 95% CI 6.02–27.2, <italic>P</italic><.001) compared to HCW cases, higher among males (OR 1.8, 95% CI 1.08–3.12, <italic>P</italic><.02) compared to females, higher among those aged ≥50 years (OR 6.1, 95% CI 3.56–10.46, <italic>P</italic><.001) compared to those aged <50 years, and higher among primary cases (OR 3.34, 95% CI 1.97–5.73, <italic>P</italic><.001) compared to secondary cases. The symptoms identified as significant risk factors at the time of diagnosis were shortness of breath (OR 2.57, 95% CI 1.55–4.26, <italic>P</italic><.001), chest pain (OR 2.1, 95% CI 1.13–3.91, <italic>P</italic><.02), altered level of consciousness (OR 3.51, 95% CI 1.88–6.58, <italic>P</italic><.001), tachypnea (OR 1.2, 95% CI 1.1–3.25, <italic>P</italic><.02), and radiological evidence of pneumonia (OR 11.15, 95% CI 5.82–21.38, <italic>P</italic><.001). Smoking (OR 0.78, 95% CI 0.4–1.55, <italic>P</italic>=.48), diabetes mellitus (OR 0.82, 95% CI 0.47–1.41, <italic>P</italic>=.47), and chronic renal disease (OR 1.5, 95% CI 0.75–3.00, <italic>P</italic>=.25) were not found to be significant risk factors, nor was contact with animals for either primary or secondary cases (OR 3.29, 95% CI 0.8–14.11, <italic>P</italic>=.13).</p></sec><sec sec-type="discussion"><title>DISCUSSION</title><p>One major finding of this study is that susceptibility to MERS-CoV infection by sex varies by region. In Jeddah, where the bulk of MERS cases have been reported, males appear more susceptible to infection than females probably because most males must work outside of the home, either in a healthcare setting or in the community. In contrast, females appear more susceptible to infection in Taif despite remaining indoors probably due to close contact with or exposure to confirmed cases. In Makkah and Kunfudah, both sexes appear equally susceptible. Further, review of the data appears to indicate that non-HCWs (177 or 68%) are at higher risk of infection than HCWs. However, review of the difference between the MERS incidence rate for non-HCWs and HCWs revealed that the risk ratio (RR) was statistically significant (RR 0.005, 95% CI 0.003–0.006, <italic>P</italic><.001), indicating HCWs are at higher risk of acquiring MERS, consistent with the findings of a Jordanian study.<xref rid="b22-asm-3-203" ref-type="bibr">22</xref> In contrast, the difference between the RR for Saudis and non-Saudis was insignificant (RR 0.91, 95% CI 0.71–1.16, <italic>P</italic>=.71), indicating that they face almost the same risk. Among non-Saudis, nurses from the Philippines (n=26,23%) appear to be at highest risk, as the majority of nurses working in Saudi Arabia are from that country. Among non-HCWs, domestic workers and homemakers comprised a large proportion of cases (137 cases, 52%), likely due to their care for and close contact with confirmed cases.<xref rid="b23-asm-3-203" ref-type="bibr">23</xref> Among HCWs, nurses, physicians, and technicians appear at highest risk due to their direct contact with patients. In contrast, hospital administrative clerks and health-related cleaners are indirectly exposed in the workplace.</p><p>Among private healthcare facilities, those in Jeddah are most actively engaged in reporting of confirmed cases. Therefore, it is unsurprising that no confirmed cases were reported by private healthcare facilities in Makah, Taif, and Kunfudah. The actual number of suspected cases remains unknown in these cities, and the burden may thus be underestimated. In Makkah, 56% of confirmed cases had hospital-acquired infection from a prior visit to an HCF and 41% had community-acquired infection due to close contact or unknown exposure. In Taif, 23% of cases had some history of domestic travel and 23% had exposure to domestic pets but not to camels or other known animal sources. In Kunfudah, all cases had been exposed to patients with respiratory illness, vomiting, diarrhea, or community-acquired infections. In Jeddah, 29% of cases had prior exposure to an HCF. The King Fahad General Hospital Jeddah, the largest facility with over 600 beds and to which the majority of cases were admitted, reported the highest number (n=82, 31%) of cases in the region.</p><p>The overall fatality rate was 42%, which was lower than that reported in previous studies in the region.<xref rid="b24-asm-3-203" ref-type="bibr">24</xref> Among all confirmed cases, 16% remained asymptomatic, having been infected via contact with confirmed cases, thus indicating that screening of all HCW contacts is an important step in disease containment. In accordance with other regional studies,<xref rid="b6-asm-3-203" ref-type="bibr">6</xref>,<xref rid="b24-asm-3-203" ref-type="bibr">24</xref> cough (170 or 65%), fever >38°C (165 or 63%), radiological evidence of pneumonia (146 or 60%), and shortness of breath (136 or 52%) were common in confirmed cases, thereby validating their inclusion as symptoms in the revised case definition for MERS.<xref rid="b21-asm-3-203" ref-type="bibr">21</xref></p><sec sec-type="methods"><title>Study limitation</title><p>The primary limitation was that private healthcare facilities in Makkah, Taif, Kunfudah, and other regional cities did not report whether they had treated any confirmed cases during the study period. As the actual MERS-related morbidity and mortality for these cities could not be determined, the fatality rate (42%) may have been underestimated. As suspected, cases that presented at community or private clinics in these cities may not have been included in the analysis, so the results may not truly reflect the severity and impact of MERS.</p></sec></sec><sec><title>CONCLUSION</title><p>This study yielded several valuable findings on the epidemiology and characteristics of MERS cases. Regarding nationality, Saudis and non-Saudis appear to have almost the same risk of exposure. Among all nationalities, Filipinos appear to be at highest risk, as the majority of nurses in Saudi Arabia are Filipino. Regarding occupation, healthcare workers are at higher risk of acquiring MERS than non-HCWs. Regarding sex, males in Jeddah appear more susceptible, probably due to their participation in outdoor activities, while females in Taif appear more susceptible, probably due to their exposure to confirmed cases in the home. Regarding symptomatology, the frequent finding of cough (65%), fever >38°C (63%), radiological evidence of pneumonia (60%), and shortness of breath (52%) among symptomatic cases validates the current MERS case definition and the findings of other regional studies. A particularly important finding was that despite strict MoH requirements that public and private healthcare facilities report cases of any notifiable diseases, including MERS,<xref rid="b21-asm-3-203" ref-type="bibr">21</xref> and the establishment of hotlines throughout the country, the reporting of all MERS cases remains challenging. As the regular reporting of cases to higher authorities is essential for key decision making,<xref rid="b21-asm-3-203" ref-type="bibr">21</xref> this challenge must be overcome.</p></sec><sec><title>RECOMMENDATIONS</title><p>Knowledge of epidemiological, demographic, clinical, and laboratory characteristics will help identify gaps; set goals for further research; and strengthen strategic decision-making in MERS reporting, control, and treatment. This knowledge will assist in the establishment of health facilities and isolation wards; procurement of personal protective gear, ambulances, ventilators, laboratory equipment, and supplies; hiring of additional healthcare staff; and enhancing capacity through appropriate training. Central to this effort is establishing private–public healthcare partnerships for both effective response and collaborative research. 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Epidemiology and outcome update</article-title><source>Saudi Med J</source><year>2013</year><volume>34</volume><issue>10</issue><fpage>991</fpage><lpage>4</lpage><pub-id pub-id-type="pmid">24145930</pub-id></element-citation></ref></ref-list></back><floats-group><fig id="f1-asm-3-203" position="float"><label>Figure 1</label><caption><p>Sex distribution of confirmed cases of MERS in the Makkah Region, March–June 2014.</p></caption><graphic xlink:href="asm-3-203f1"></graphic></fig><fig id="f2-asm-3-203" position="float"><label>Figure 2</label><caption><p>Outcomes of confirmed cases of MERS-CoV infection in the Makkah Region, March–June 2014.</p></caption><graphic xlink:href="asm-3-203f2"></graphic></fig><fig id="f3-asm-3-203" position="float"><label>Figure 3</label><caption><p>Distribution of cases of healthcare workers and non healthcare workers in the Makkah Region, March–June 2014.</p></caption><graphic xlink:href="asm-3-203f3"></graphic></fig><table-wrap id="t1-asm-3-203" position="float"><label>Table 1</label><caption><p>Nationality of patients with confirmed MERS-CoV infections in the Makkah Region, March–June 2014.</p></caption><table frame="hsides" rules="cols"><thead><tr><th valign="middle" align="left" rowspan="1" colspan="1"></th><th valign="middle" align="center" rowspan="1" colspan="1">Saudi</th><th valign="middle" align="center" rowspan="1" colspan="1">Non-Saudi</th></tr><tr><th colspan="3" valign="middle" align="left" rowspan="1"><hr></hr></th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">Makkah City</td><td valign="top" align="center" rowspan="1" colspan="1">20 (51%)</td><td valign="top" align="center" rowspan="1" colspan="1">19 (49%)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Kunfudah</td><td valign="top" align="center" rowspan="1" colspan="1">5 (83%)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (17%)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Taif</td><td valign="top" align="center" rowspan="1" colspan="1">10 (77%)</td><td valign="top" align="center" rowspan="1" colspan="1">3 (23%)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Jeddah</td><td valign="top" align="center" rowspan="1" colspan="1">112 (55%)</td><td valign="top" align="center" rowspan="1" colspan="1">91 (45%)</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Total</td><td valign="top" align="center" rowspan="1" colspan="1">147 (56%)</td><td valign="top" align="center" rowspan="1" colspan="1">115 (44%)</td></tr></tbody></table><table-wrap-foot><fn id="tfn1-asm-3-203"><p>Data are n and percentage.</p></fn></table-wrap-foot></table-wrap><table-wrap id="t2-asm-3-203" position="float"><label>Table 2</label><caption><p>Distribution of confirmed cases of MERS-CoV infection in healthcare workers (n= 84) and non healthcare workers (n=177) in the Makkah Region, March–June 2014.</p></caption><table frame="hsides" rules="cols"><thead><tr><th valign="middle" align="left" rowspan="1" colspan="1"></th><th valign="middle" align="center" rowspan="1" colspan="1">Type of HCW</th><th valign="middle" align="center" rowspan="1" colspan="1">Cases (n, %)</th><th valign="middle" align="center" rowspan="1" colspan="1">Type of non-HCWs</th><th valign="middle" align="center" rowspan="1" colspan="1">Cases (n, %)</th></tr><tr><th colspan="5" valign="middle" align="left" rowspan="1"><hr></hr></th></tr></thead><tbody><tr><td valign="middle" rowspan="6" align="left" colspan="1">Makkah City</td><td valign="middle" align="center" rowspan="1" colspan="1">Nurses</td><td valign="middle" align="center" rowspan="1" colspan="1">10 (62%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Unemployed workers</td><td valign="middle" align="center" rowspan="1" colspan="1">12 (52%)</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Physicians</td><td valign="middle" align="center" rowspan="1" colspan="1">3 (20%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Housewives</td><td valign="middle" align="center" rowspan="1" colspan="1">6 (26%)</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Healthcare-related cleaners</td><td valign="middle" align="center" rowspan="1" colspan="1">2 (12%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Students</td><td valign="middle" align="center" rowspan="1" colspan="1">2 (9%)</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Administrative clerks</td><td valign="middle" align="center" rowspan="1" colspan="1">1 (6%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Non-healthcare-related cleaners</td><td valign="middle" align="center" rowspan="1" colspan="1">2 (9%)</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Policemen</td><td valign="middle" align="center" rowspan="1" colspan="1">1 (11%)</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>16 (41%)</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total non-HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>23 (59%)</bold></td></tr><tr><td colspan="5" valign="middle" align="left" rowspan="1"><hr></hr></td></tr><tr><td valign="middle" rowspan="4" align="left" colspan="1">Taif</td><td valign="middle" align="center" rowspan="1" colspan="1">Nurses</td><td valign="middle" align="center" rowspan="1" colspan="1">3</td><td valign="middle" align="center" rowspan="1" colspan="1">Unemployed workers</td><td valign="middle" align="center" rowspan="1" colspan="1">4</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">X-ray technicians</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">Housewives</td><td valign="middle" align="center" rowspan="1" colspan="1">4</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Teachers</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>4 (31%)</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total non-HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>9 (69%)</bold></td></tr><tr><td colspan="5" valign="middle" align="left" rowspan="1"><hr></hr></td></tr><tr><td valign="middle" rowspan="5" align="left" colspan="1">Kunfudah</td><td valign="middle" align="center" rowspan="1" colspan="1">Nurses</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">Soldiers</td><td valign="middle" align="center" rowspan="1" colspan="1">2</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Teachers</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Housewives</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Factory workers and others</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>1 (17%)</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total non-HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>5 (83%)</bold></td></tr><tr><td valign="middle" rowspan="12" align="left" colspan="1">Jeddah</td><td valign="middle" align="center" rowspan="1" colspan="1">Nurses</td><td valign="middle" align="center" rowspan="1" colspan="1">22 (35%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Retired 32</td><td valign="middle" align="center" rowspan="1" colspan="1"></td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Physicians</td><td valign="middle" align="center" rowspan="1" colspan="1">19 (30%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Housewives</td><td valign="middle" align="center" rowspan="1" colspan="1">26</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Technicians</td><td valign="middle" align="center" rowspan="1" colspan="1">7 (11%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Employees</td><td valign="middle" align="center" rowspan="1" colspan="1">18</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Administrative clerks</td><td valign="middle" align="center" rowspan="1" colspan="1">6 (10%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Unemployed/not workers</td><td valign="middle" align="center" rowspan="1" colspan="1">42</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Other healthcare-related workers</td><td valign="middle" align="center" rowspan="1" colspan="1">6 (10%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Students</td><td valign="middle" align="center" rowspan="1" colspan="1">5</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Healthcare-related cleaners</td><td valign="middle" align="center" rowspan="1" colspan="1">3 (4%)</td><td valign="middle" align="center" rowspan="1" colspan="1">Drivers</td><td valign="middle" align="center" rowspan="1" colspan="1">5</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Policemen/security</td><td valign="middle" align="center" rowspan="1" colspan="1">4</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Housemaids</td><td valign="middle" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Laborers/farmers</td><td valign="middle" align="center" rowspan="1" colspan="1">3</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Teachers</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">Children</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>63 (31%)</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>Total non-HCWs</bold></td><td valign="middle" align="center" rowspan="1" colspan="1"><bold>140 (69%)</bold></td></tr></tbody></table><table-wrap-foot><fn id="tfn2-asm-3-203"><p>HCW, healthcare workers; non-HCW, non-healthcare workers.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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