The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Characterizing the Qatar advanced-phase SARS-CoV-2 epidemic
Open accessPublished version of a preprint
Abstract
The overarching objective of this study was to provide the descriptive epidemiology of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic in Qatar by addressing specific research questions through a series of national epidemiologic studies. Sources of data were the centralized and standardized national databases for SARS-CoV-2 infection. By July 10, 2020, 397,577 individuals had been tested for SARS-CoV-2 using polymerase-chain-reaction (PCR), of whom 110,986 were positive, a positivity cumulative rate of 27.9% (95% CI 27.8–28.1%). As of July 5, case severity rate, based on World Health Organization (WHO) severity classification, was 3.4% and case fatality rate was 1.4 per 1,000 persons. Age was by far the strongest predictor of severe, critical, or fatal infection. PCR positivity of nasopharyngeal/oropharyngeal swabs in a national community survey (May 6–7) including 1,307 participants was 14.9% (95% CI 11.5–19.0%); 58.5% of those testing positive were asymptomatic. Across 448 ad-hoc testing campaigns in workplaces and residential areas including 26,715 individuals, pooled mean PCR positivity was 15.6% (95% CI 13.7–17.7%). SARS-CoV-2 antibody prevalence was 24.0% (95% CI 23.3–24.6%) in 32,970 residual clinical blood specimens. Antibody prevalence was only 47.3% (95% CI 46.2–48.5%) in those who had at least one PCR positive result, but 91.3% (95% CI 89.5–92.9%) among those who were PCR positive > 3 weeks before serology testing. Qatar has experienced a large SARS-CoV-2 epidemic that is rapidly declining, apparently due to growing immunity levels in the population.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures



Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“With the small proportion of the population of Qatar being 50 years of age or older,10 our findings may not be generalizable to other countries in which elderly citizens constitute a larger proportion of the population.”
From Effects of Previous Infection and Vaccination on Symptomatic Omicron Infections (2022) · cites this paper as [10]
In the citing paper
“Cases (persons infected with BA.1, BA.2, or any-Omicron-subvariant) and controls (uninfected persons) were exact-matched by sex, 10-year-age group, nationality, and calendar week of polymerase chain reaction (PCR) test to control for established differences in the risk of exposure to SARS-CoV-2 infection in Qatar15–19.”
From Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar (2022) · cites this paper as [15]
In the citing paper
“With the lower severity of Omicron infections24,25 and the young population of Qatar15,26, case numbers were insufficient to estimate the duration of protection against COVID-19 hospitalization and death for each subvariant separately.”
From Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar (2022) · cites this paper as [15]
In the citing paper
“Matching was implemented to control for established differences in the risk of exposure to SARS-CoV-2 infection in Qatar15–19.”
From Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar (2022) · cites this paper as [15]
In the citing paper
“Qatar has young, international demographics. Only 9% of Qatar’s population is ≥50 years of age and 89% are international expatriates from over 150 countries15,41.”
From Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar (2022) · cites this paper as [15]
In the citing paper
“With only 9% of Qatar’s population ≥50 years of age15,41, our findings may not be generalizable to other countries in which elderly citizens constitute a larger proportion of the total population.”
From Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar (2022) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970
SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients
Zou, L., Ruan, F., Huang, M.-X., Liang, L.-J., Huang, H., Hong, Z.-S., Yu, J.-X., Kang, M., Song, Y.-C., Xia, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001737 · Cited by 4,590
Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany
Rothe, C., Schunk, M., Sothmann, P., Bretzel, G., Froeschl, G., Wallrauch, C., Zimmer, T., Thiel, V., Jänke, C., Guggemos, W., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001468 · Cited by 4,211
Li, R., Pei, S., Chen, B., Song, Y., Zhang, T., Yang, W., & Shaman, J. (2020) · Science · doi:10.1126/science.abb3221 · Cited by 3,633
Transformations Related to the Angular and the Square Root
Freeman, M. F., & Tukey, J. W. (1950) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729756 · Cited by 2,634
Prevalence of Asymptomatic SARS-CoV-2 Infection
Oran, D. P., & Topol, E. J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-3012 · Cited by 2,348
Barendregt, J. J., Doi, S. A., Lee, Y. Y., Norman, R. E., & Vos, T. (2013) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2013-203104 · Cited by 2,169
Interpreting Diagnostic Tests for SARS-CoV-2.
Sethuraman, N., Jeremiah, S. S., & Ryo, A. (2020) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2020.8259 · Cited by 1,420
Spread of SARS-CoV-2 in the Icelandic population
Gudbjartsson, D. F., Helgason, A., Jonsson, H., Magnusson, O. T., Melsted, P., Norddahl, G. L., Saemundsdottir, J., Sigurdsson, A., Sulem, P., Agustsdottir, A. B., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2006100 · Cited by 1,248
Estimating the burden of SARS-CoV-2 in France
Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science · doi:10.1126/science.abc3517 · Cited by 1,038
Sample Size Calculations in Clinical Research
Chow, S., Wang, H., & Shao, J. (2003) · CRC Press eBooks · doi:10.1201/9780203911341 · Cited by 813
Biggerstaff, M., Cauchemez, S., Reed, C., Gambhir, M., & Finelli, L. (2014) · BMC Infectious Diseases · doi:10.1186/1471-2334-14-480 · Cited by 609
Sample Size Calculations in Clinical Research: Third Edition
Chow, S., Shao, J., Wang, H., & Lokhnygina, Y. V. (2017) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315183084 · Cited by 550
The Inverse of the Freeman – Tukey Double Arcsine Transformation
Miller, J. J. (1978) · The American Statistician · doi:10.1080/00031305.1978.10479283 · Cited by 501
Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States
Reed, C., Chaves, S. S., Kirley, P. D., Emerson, R., Aragon, D., Hancock, E. B., Butler, L., Baumbach, J., Hollick, G. E., Bennett, N. M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118369 · Cited by 390
Wajnberg, A., Mansour, M., Leven, E. A., Bouvier, N. M., Patel, G., Firpo‐Betancourt, A., Mendu, R., Jhang, J. S., Arinsburg, S. A., Gitman, M., et al. (2020) · The Lancet Microbe · doi:10.1016/s2666-5247(20)30120-8 · Cited by 229
School closures and influenza: systematic review of epidemiological studies
Jackson, C., Vynnycky, E., Hawker, J., Olowokure, B., & Mangtani, P. (2013) · BMJ Open · doi:10.1136/bmjopen-2012-002149 · Cited by 224
He, W., Yi, G. Y., & Zhu, Y. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26041 · Cited by 187
Estimates of the reproduction numbers of Spanish influenza using morbidity data
Vynnycky, E., Trindall, A., & Mangtani, P. (2007) · International Journal of Epidemiology · doi:10.1093/ije/dym071 · Cited by 119
Estimation of the reproductive number of the Spanish flu epidemic in Geneva, Switzerland
Chowell, G., Ammon, C. E., Hengartner, N., & Hyman, J. M. (2006) · Vaccine · doi:10.1016/j.vaccine.2006.05.055 · Cited by 103
Jeremijenko, A., Chemaitelly, H., Ayoub, H. H., Alishaq, M., Abou-Samra, A.-B., Al Ajmi, J. A. A. A., Al Ansari, N. A. A., Al Kanaani, Z., Al Khal, A., Al Kuwari, E., et al. (2021) · Emerging Infectious Diseases · doi:10.3201/eid2705.204365 · Cited by 97
Self-citationCoyle, P. V., Chemaitelly, H., Ben Hadj Kacem, M. A., Abdulla Al Molawi, N. H., El Kahlout, R. A., Gilliani, I., Younes, N., Al Anssari, G. A. A. A., Al Kanaani, Z., Al Khal, A., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102646 · Cited by 86
Self-citationSARS-CoV-2 Infection Is at Herd Immunity in the Majority Segment of the Population of Qatar
Al-Thani, M. H., Farag, E., Bertollini, R., Al Romaihi, H. E., Abdeen, S., Abdelkarim, A., Daraan, F., Elhaj Ismail, A. I. H., Mostafa, N., Sahl, M., et al. (2021) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofab221 · Cited by 85
Self-citationAyoub, H. H., Chemaitelly, H., Seedat, S., Makhoul, M., Al Kanaani, Z., Al Khal, A., Al Kuwari, E., Butt, A. A., Coyle, P., Jeremijenko, A., et al. (2021) · Journal of Global Health · doi:10.7189/jogh.11.05005 · Cited by 81
Self-citationBiggerstaff, M., Kniss, K. L., Jernigan, D. B., Brammer, L., Bresee, J., Garg, S., Burns, E. M., & Reed, C. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx334 · Cited by 81
Kumar, N., Hameed, S. K. S., Babu, G. R., Venkataswamy, M. M., Dinesh, P., Prakash Kumar, B. G., John, D. A., Desai, A. S., & Ravi, V. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100717 · Cited by 73
Descriptive epidemiology of coronavirus disease 2019 in Nigeria, 27 February–6 June 2020
Elimian, K., Ochu, C. L., Ilori, E. A., Oladejo, J., Igumbor, E. U., Steinhardt, L. C., Wagai, J. N., Arinze, C. C., Ukponu, W. S., Obiekea, C., et al. (2020) · Epidemiology and Infection · doi:10.1017/s095026882000206x · Cited by 71
Glatman‐Freedman, A., Portelli, I., Jacobs, S. K., Mathew, J. I., Slutzman, J. E., Goldfrank, L. R., & Smith, S. W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050228 · Cited by 62
Ayoub, H. H., Mumtaz, G. R., Seedat, S., Makhoul, M., Chemaitelly, H. S., & Abu-Raddad, L. J. (2021) · Global Epidemiology · doi:10.1016/j.gloepi.2021.100068 · Cited by 48
Self-citationAge could be driving variable SARS-CoV-2 epidemic trajectories worldwide
Ayoub, H. H., Chemaitelly, H. S., Seedat, S., Mumtaz, G. R., Makhoul, M., & Abu-Raddad, L. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237959 · Cited by 45
Self-citationAyoub, H. H., Chemaitelly, H. S., Mumtaz, G. R., Seedat, S., Awad, S. F., Makhoul, M., & Abu-Raddad, L. J. (2020) · Global Epidemiology · doi:10.1016/j.gloepi.2020.100042 · Cited by 43
Self-citationEarly Spread of SARS-CoV-2 in the Icelandic Population
Cowie, B. C., & MacLachlan, J. H. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2027653 · Cited by 41
Maechler, F., Gertler, M., Hermes, J., van Loon, W., Schwab, F., Piening, B., Rojansky, S., Hommes, F., Kausch, F., Lindner, A. K., et al. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.08.017 · Cited by 39
Characterizing key attributes of the epidemiology of COVID-19 in China: Model-based estimationsPreprint
Ayoub, H. H., Chemaitelly, H. S., Mumtaz, G. R., et al. (2020) · medRxiv · doi:10.1101/2020.04.08.20058214 · Cited by 30
Self-citationKalikiri, M. K. R., Hasan, M. R., Mirza, F., Xaba, T., Tang, P., & Lorenz, S. (2020) · medRxiv · doi:10.1101/2020.04.08.20055731 · Cited by 28
Evidence for and level of herd immunity against SARS-CoV-2 infection: the ten-community studyPreprint
Jeremijenko, A. M., Chemaitelly, H. S., Ayoub, H. H., et al. (2020) · medRxiv · doi:10.1101/2020.09.24.20200543 · Cited by 23
Self-citationSeroprevalence of SARS-CoV-2 infection in the craft and manual worker population of QatarPreprint
Al‐Thani, M. H., Farag, E., Bertollini, R., et al. (2020) · medRxiv · doi:10.1101/2020.11.24.20237719 · Cited by 20
Self-citationAyoub, H. H., Mumtaz, G. R., Seedat, S., et al. (2021) · medRxiv · doi:10.1101/2021.01.24.21250396 · Cited by 14
Self-citation
Research works printed but not linked: 13
- Ministry of Public Health-State of Qatar. Coronavirus Disease 2019 (COVID-19). Available from: https://covid19.moph.gov.qa/EN/Pages/default.aspx. Accessed on: January 27, 2021 (2021).
- World Health Organization. International guidelines for certification and classification (coding) of COVID-19 as cause of death. Available from: https://www.who.int/classifications/icd/Guidelines_Cause_of_Death_COVID-19-20200420-EN.pdf?ua=1. Document Number: WHO/HQ/DDI/DNA/CAT. Accessed on June 1, 2020 (2020).
- Planning and Statistics Authority- State of Qatar. Qatar Monthly Statistics. Available from: https://www.psa.gov.qa/en/pages/default.aspx. Accessed on: May 26, 2020 (2020).
- Planning and Statistics Authority-State of Qatar. The Simplified Census of Population, Housing & Establishments. Available from: https://www.psa.gov.qa/en/statistics/Statistical%20Releases/Population/Population/2018/Population_social_1_2018_AE.pdf Accessed on: April 2, 2020 (2019).
- World Population Review. Qatar Population (Live). Available from: https://worldpopulationreview.com/countries/qatar-population/. Accessed on April 23, 2020 (2020).
- Planning and Statistics Authority- State of Qatar. Labor force sample survey. Available from: https://www.psa.gov.qa/en/statistics/Statistical%20Releases/Social/LaborForce/2017/statistical_analysis_labor_force_2017_En.pdf. Accessed on: May 01, 2020 (2017).
- De Bel-Air, F. Demography, Migration, and Labour Market in Qatar. Available from: https://www.researchgate.net/publication/323129801_Demography_Migration_and_Labour_Market_in_Qatar-_UPDATED_June_2017. Accessed on May 01, 2020 (Gulf Labour Markets and Migration, 2018).
- World Health Organization. Population-based age-stratified seroepidemiological investigation protocol for COVID-19 virus infection. Available from: https://apps.who.int/iris/handle/10665/331656. Accessed on: April 15, 2020 (2020).
- The Roche Group. Roche’s COVID-19 antibody test receives FDA Emergency Use Authorization and is available in markets accepting the CE mark. Available from: https://www.roche.com/media/releases/med-cor-2020-05-03.htm. Accessed on: June 5, 2020 (2020).
- National Health and Nutrition Examination Survey. Weighting. Available from:https://wwwn.cdc.gov/nchs/nhanes/tutorials/module3.aspx. Accessed on May 13, 2020 (2020).
- Centers for Disease Control and Prevention. Symptom-Based Strategy to Discontinue Isolation for Persons with COVID-19. Available from: https://www.cdc.gov/coronavirus/2019-ncov/community/strategy-discontinue-isolation.html. Accessed on June 2, 2020 (2020).
- World Health Organization. Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). Available from :https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf. Accessed on March 10, 2020 (2020).
- Public Health England. Evaluation of Roche Elecsys AntiSARS-CoV-2 serology assay for the detection of anti-SARS-CoV-2 antibodies. Available from: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/891598/Evaluation_of_Roche_Elecsys_anti_SARS_CoV_2_PHE_200610_v8.1_FINAL.pdf. Accessed on June 5, 2020 (2020).
Cited by
Sorted by citations
Waning of BNT162b2 Vaccine Protection against SARS-CoV-2 Infection in Qatar
Chemaitelly, H., Tang, P., Hasan, M. R., AlMukdad, S., Yassine, H. M., Benslimane, F. M., Al Khatib, H. A., Coyle, P., Ayoub, H. H., Al Kanaani, Z., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2114114 · Cited by 831
Self-citationInfection fatality rate of COVID-19 inferred from seroprevalence data
Ioannidis, J. P. A. (2021) · Bulletin of the World Health Organization · doi:10.2471/blt.20.265892 · Cited by 684
Effects of Previous Infection and Vaccination on Symptomatic Omicron Infections
Altarawneh, H. N., Chemaitelly, H., Ayoub, H. H., Tang, P., Hasan, M. R., Yassine, H. M., Al-Khatib, H. A., Smatti, M. K., Coyle, P., Al-Kanaani, Z., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2203965 · Cited by 551
Self-citationBNT162b2 and mRNA-1273 COVID-19 vaccine effectiveness against the SARS-CoV-2 Delta variant in Qatar
Tang, P., Hasan, M. R., Chemaitelly, H., Yassine, H. M., Benslimane, F. M., Al Khatib, H. A., AlMukdad, S., Coyle, P., Ayoub, H. H., Al Kanaani, Z., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01583-4 · Cited by 450
Self-citationProtection against the Omicron Variant from Previous SARS-CoV-2 Infection
Altarawneh, H. N., Chemaitelly, H., Hasan, M. R., Ayoub, H. H., Qassim, S., AlMukdad, S., Coyle, P., Yassine, H. M., Al-Khatib, H. A., Benslimane, F. M., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmc2200133 · Cited by 445
Self-citation
Metadata
- Authors
- Abu-Raddad, L. J., Chemaitelly, H., Ayoub, H. H., Al Kanaani, Z., Al Khal, A., Al Kuwari, E., Butt, A. A., Coyle, P., Jeremijenko, A., Kaleeckal, A. H., Latif, A. N., Owen, R. C., Rahim, H. F. A., Al Abdulla, S. A., Al Kuwari, M. G., Kandy, M. C., Saeb, H., Ahmed, S. N. N., Al Romaihi, H. E., Bansal, D., Dalton, L., Al-Thani, M. H., & Bertollini, R.
- Affiliations
- Cornell University (US)
- Qatar University (QA)
- Hamad Medical Corporation (QA)
- Primary Health Care (QA)
- Ministry of Public Health (QA)
- Corresponding author
- Abu-Raddad, Laith J.
- ORCID
- Venue
- Scientific Reports
- Published
- 2021-03-18
- Volume
- 11
- Issue
- 1
- Pages
- 6233-6233
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC7973743
- OpenAlex
- W3138604848
- Cited by
- 148
- References
- 40
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 18 · 2023: 26 · 2022: 38 · 2021: 33
- FWCI
- 11.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Qatar National Research Fund (NPRP grant number 9-040-3-008 and NPRP grant number 12S-0216-190094)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- SARS-CoV-2, COVID-19 epidemic, Qatar, case fatality rate, case severity, age as risk factor, asymptomatic infection, seroprevalence, community survey, herd immunity, epidemic decline
- MeSH terms
- COVID-19, SARS-CoV-2, COVID-19 Nucleic Acid Testing, Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Cross-Sectional Studies, Female, Humans, Infant, Male, Middle Aged, Qatar, Young Adult, Asymptomatic Infections
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review