SARS-CoV-2 Infection Is at Herd Immunity in the Majority Segment of the Population of Qatar

被引:50
作者
Al-Thani, Mohamed H. [1 ]
Farag, Elmoubasher [1 ]
Bertollini, Roberto [1 ]
Al Romaihi, Hamad Eid [1 ]
Abdeen, Sami [2 ]
Abdelkarim, Ashraf [2 ]
Daraan, Faisal [1 ]
Ismail, Ahmed Ibrahim Hashim Elhaj [1 ]
Mostafa, Nahid [1 ]
Sahl, Mohamed [1 ,2 ]
Suliman, Jinan [2 ]
Tayar, Elias [2 ]
Kasem, Hasan Ali [3 ]
Agsalog, Meynard J. A. [3 ]
Akkarathodiyil, Bassam K. [3 ]
Alkhalaf, Ayat A. [3 ]
Alakshar, Mohamed Morhaf M. H. [3 ]
Al-Qahtani, Abdulsalam Ali A. H. [3 ]
Al-Shedifat, Monther H. A. [3 ]
Ansari, Anas [3 ]
Ataalla, Ahmad Ali [3 ]
Chougule, Sandeep [3 ]
Gopinathan, Abhilash K. K., V [3 ]
Poolakundan, Feroz J. [3 ]
Ranbhise, Sanjay U. [3 ]
Saefan, Saed M. A. [3 ]
Thaivalappil, Mohamed M. [3 ]
Thoyalil, Abubacker S. [3 ]
Umar, Inayath M. [3 ]
Al Kanaani, Zaina [2 ]
Al Khal, Abdullatif [2 ]
Al Kuwari, Einas [2 ]
Butt, Adeel A. [2 ,4 ]
Coyle, Peter [2 ,5 ,6 ]
Jeremijenko, Andrew [2 ]
Kaleeckal, Anvar Hassan [2 ]
Latif, Ali Nizar [2 ]
Shaik, Riyazuddin Mohammad [2 ]
Rahim, Hanan F. Abdul [7 ]
Yassine, Hadi M. [6 ,8 ]
Nasrallah, Gheyath K. [6 ,8 ]
Al Kuwari, Mohamed Ghaith [9 ]
Chaghoury, Odette [10 ]
Chemaitelly, Hiam [11 ,12 ]
Abu-Raddad, Laith J. [4 ,11 ,12 ]
机构
[1] Minist Publ Hlth, Doha, Qatar
[2] Hamad Med Corp, Doha, Qatar
[3] QatarRed Crescent Soc, Doha, Qatar
[4] Cornell Univ, Dept Populat Hlth Sci, Weill Cornell Med, New York, NY 10021 USA
[5] Queens Univ, Wellcome Wolfson Inst Expt Med, Belfast, Antrim, North Ireland
[6] Qatar Univ, Biomed Res Ctr, Doha, Qatar
[7] Qatar Univ, Coll Hlth Sci, QU Hlth, Doha, Qatar
[8] Qatar Univ, Coll Hlth Sci, Dept Biomed Sci, QU Hlth, Doha, Qatar
[9] Primary Hlth Care Corp, Doha, Qatar
[10] Cornell Univ, Weill Cornell Med Qatar, Doha, Qatar
[11] Cornell Univ, Qatar Fdn Educ City, Weill Cornell Med Qatar, Infect Dis Epidemiol Grp, Doha, Qatar
[12] Cornell Univ, Qatar Fdn Educ City, WHO Collaborating Ctr Dis Epidemiol Analyt HIV AI, Weill Cornell Med Qatar, Doha, Qatar
关键词
COVID-19; immunity; Qatar; SARS-CoV-2; seroprevalence; COVID-19; SEROPREVALENCE; REGION;
D O I
10.1093/ofid/ofab221
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background. Qatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic that disproportionately affected the craft and manual worker (CMW) population, who comprise 60% of the total population. This study aimed to assess ever and/or current infection prevalence in this population. Methods. A cross-sectional population-based survey was conducted during July 26 to September 09, 2020, to assess both anti-SARS-CoV-2 positivity through serological testing and current infection positivity through polymerase chain reaction (PCR) testing. Associations with antibody and PCR positivity were identified through regression analyses. Results. The study included 2641 participants, 69.3% of whom were <40 years of age. Anti-SARS-CoV-2 positivity was 55.3% (95% CI, 53.3%-57.3%) and was significantly associated with nationality, geographic location, educational attainment, occupation, and previous infection diagnosis. PCR positivity was 11.3% (95% CI, 9.9%-12.8%) and was significantly associated with nationality, geographic location, occupation, contact with an infected person, and reporting 2 or more symptoms. Infection positivity (antibody and/or PCR positive) was 60.6% (95% CI, 58.6%-62.5%). The proportion of antibody-positive CMWs who had a prior SARS-CoV-2 diagnosis was 9.3% (95% CI, 7.9%-11.0%). Only seven infections were ever severe, and only 1 was ever critical-an infection severity rate of 0.5% (95% CI, 0.2%-1.0%). Conclusions. Six in every 10 CMWs in Qatar have been infected, suggestive of reaching the herd immunity threshold. Infection severity was low, with only 1 in every 200 infections progressing to be severe or critical. Only 1 in every 10 infections had been previously diagnosed, which is suggestive of mostly asymptomatic or mild infections.
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页数:10
相关论文
共 49 条
[1]  
Abu-Raddad L.J., 2020, CLIN INFECT DIS OFFI, DOI DOI 10.1093/CID/CIAA1846
[2]   Characterizing the Qatar advanced-phase SARS-CoV-2 epidemic [J].
Abu-Raddad, Laith J. ;
Chemaitelly, Hiam ;
Ayoub, Houssein H. ;
Al Kanaani, Zaina ;
Al Khal, Abdullatif ;
Al Kuwari, Einas ;
Butt, Adeel A. ;
Coyle, Peter ;
Jeremijenko, Andrew ;
Kaleeckal, Anvar Hassan ;
Latif, Ali Nizar ;
Owen, Robert C. ;
Rahim, Hanan F. Abdul ;
Al Abdulla, Samya A. ;
Al Kuwari, Mohamed G. ;
Kandy, Mujeeb C. ;
Saeb, Hatoun ;
Ahmed, Shazia Nadeem N. ;
Al Romaihi, Hamad Eid ;
Bansal, Devendra ;
Dalton, Louise ;
Al-Thani, Mohamed H. ;
Bertollini, Roberto .
SCIENTIFIC REPORTS, 2021, 11 (01)
[3]  
Aguas R, 2020, medRxiv, DOI 10.1101/2020.07.23.20160762
[4]   Epidemiological investigation of the first 5685 cases of SARS-CoV-2 infection in Qatar, 28 February-18 April 2020 [J].
Al Kuwari, Hanan M. ;
Abdul Rahim, Hanan F. ;
Abu-Raddad, Laith J. ;
Abou-Samra, Abdul-Badi ;
Al Kanaani, Zaina ;
Al Khal, Abdullatif ;
Al Kuwari, Einas ;
Al Marri, Salih ;
Al Masalmani, Muna ;
Al Romaihi, Hamad E. ;
Al Thani, Mohamed H. ;
Coyle, Peter, V ;
Latif, Ali N. ;
Owen, Robert ;
Bertollini, Roberto ;
Butt, Adeel Ajwad .
BMJ OPEN, 2020, 10 (10)
[5]   Prevalence of SARS-CoV-2 antibodies in a large nationwide sample of patients on dialysis in the USA: a cross-sectional study [J].
Anand, Shuchi ;
Montez-Rath, Maria ;
Han, Jialin ;
Bozeman, Julie ;
Kerschmann, Russell ;
Beyer, Paul ;
Parsonnet, Julie ;
Chertow, Glenn M. .
LANCET, 2020, 396 (10259) :1335-1344
[6]   How will country-based mitigation measures influence the course of the COVID-19 epidemic? [J].
Anderson, Roy M. ;
Heesterbeek, Hans ;
Klinkenberg, Don ;
Hollingsworth, T. Deirdre .
LANCET, 2020, 395 (10228) :931-934
[7]  
[Anonymous], 2020, SHARED RESPONSIBILIT
[8]   Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility [J].
Arons, M. M. ;
Hatfield, K. M. ;
Reddy, S. C. ;
Kimball, A. ;
James, A. ;
Jacobs, J. R. ;
Taylor, J. ;
Spicer, K. ;
Bardossy, A. C. ;
Oakley, L. P. ;
Tanwar, S. ;
Dyal, J. W. ;
Harney, J. ;
Chisty, Z. ;
Bell, J. M. ;
Methner, M. ;
Paul, P. ;
Carlson, C. M. ;
McLaughlin, H. P. ;
Thornburg, N. ;
Tong, S. ;
Tamin, A. ;
Tao, Y. ;
Uehara, A. ;
Harcourt, J. ;
Clark, S. ;
Brostrom-Smith, C. ;
Page, L. C. ;
Kay, M. ;
Lewis, J. ;
Montgomery, P. ;
Stone, N. D. ;
Clark, T. A. ;
Honein, M. A. ;
Duchin, J. S. ;
Jernigan, J. A. .
NEW ENGLAND JOURNAL OF MEDICINE, 2020, 382 (22) :2081-2090
[9]   Forecasting the burden of type 2 diabetes mellitus in Qatar to 2050: A novel modeling approach [J].
Awad, Susanne F. ;
O'Flaherty, Martin ;
Critchley, Julia ;
Abu-Raddad, Laith J. .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2018, 137 :100-108
[10]   Mathematical modeling of the SARS-CoV-2 epidemic in Qatar and its impact on the national response to COVID-19 [J].
Ayoub, Houssein H. ;
Chemaitelly, Hiam ;
Seedat, Shaheen ;
Makhoul, Monia ;
Al Kanaani, Zaina ;
Al Khal, Abdullatif ;
Al Kuwari, Einas ;
Butt, Adeel A. ;
Coyle, Peter ;
Jeremijenko, Andrew ;
Kaleeckal, Anvar Hassan ;
Latif, Ali Nizar ;
Shaik, Riyazuddin Mohammad ;
Rahim, Hanan Abdul ;
Yassine, Hadi M. ;
Al Kuwari, Mohamed G. ;
Al Romaihi, Hamad Eid ;
Al-Thani, Mohamed H. ;
Bertollini, Roberto ;
Abu Raddad, Laith J. .
JOURNAL OF GLOBAL HEALTH, 2021, 11 :1-9