Abstract
Public health control measures for communicable diseases are often based on the identification of symptomatic cases. However, emerging epidemiological evidence demonstrates the role of pre-symptomatic and asymptomatic transmissions of coronavirus disease 2019 (COVID-19). Understanding high-risk settings where transmissions can occur from infected individuals without symptoms has become critical for improving the response to the pandemic. In this review, we discussed the evidence on the transmission of severe acute respiratory syndrome coronavirus-2, its effect on control strategies, and lessons that can be applied in Qatar. Although Qatar has a small population, it has a distinct setting for COVID-19 control. It has a largely young population and is mostly composed of expatriates particularly from the Middle East and Asia that reside in Qatar for work. Further key considerations for Qatar and travel include population movement during extended religious holiday periods, screening and tracing of visitors and residents at entry points into the country, and expatriates living and working in high-density settings. We also consider how its international airport serves as a major transit destination for the region, as Qatar is expected to experience a rapid expansion of visitors while preparing to host the FIFA World Cup in 2022.
Keywords: COVID-19, pre-symptomatic transmission, public health control, Qatar
Introduction
Traditional public health strategies that rely on the early detection of symptomatic cases were important for containing previous epidemics of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS); however, the coronavirus disease 2019 (COVID-19) has taken a different trajectory. The coronaviruses that cause SARS and MERS are associated with high case-fatality rates. In comparison, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the virus that causes COVID-19, is considered less fatal, but highly transmissible with more mild and asymptomatic infections1. SARS-CoV-2 is also associated with community spread rather than nosocomial spread2. Meanwhile, nosocomial outbreaks of MERS caused by MERS-CoV that occurred mainly in hospitals in Saudi Arabia, Jordan, and South Korea are considered to have limited transmissibility, even in the absence of control measures3. As the COVID-19 pandemic continues, it is important to consider how individuals without symptoms affect estimates of transmission, tracing and isolating of cases, and other control measures implemented in Qatar.
Qatar has a small population of 2.8 million and rapidly expanded its capacity in real-time polymerase chain reaction (RT-PCR) testing early in the pandemic4,5. As of 10 September 2021, 2,558,174 tests have been performed with 234,362 confirmed cases and 606 COVID-19-related deaths6. Qatar also has a distinct demographic profile with a young population, where only 1.5% are aged ≥ 65 years7. Qatar further has a large expatriate population of 89% that comprise two main groups. First, over half of expatriates are young men, many of whom are craft and manual workers that generally live in high-density shared accommodation8. Second, other expatriates work in professional and service-related roles, and their accommodation tends to be separated into family and single households. As the country plans to host the International World Cup in 2022, a forecasted 1.7 million people may visit Qatar with approximately 500,000 visitors on its busiest days9. Given these settings, we discuss the current evidence on pre-symptomatic and asymptomatic transmission of COVID-19 and examples of how this has affected control strategies worldwide.
Transmission Of Sars-cov-2
SARS-CoV-2 is predominantly transmitted person-to-person through respiratory droplets from coughing, sneezing, talking, and close contact. Indirect transmission or fomite transmission through contamination of surfaces by respiratory droplets has also been reported, particularly within healthcare facilities10 11. Reported outbreaks in indoor settings such as gyms and restaurants with less ventilation suggest the possibility of aerosol transmission, where infectious droplets may remain in the air. However, it is difficult to establish whether droplet and fomite transmission can explain clusters in settings where measures such as hand hygiene, masks, and physical distancing are not maintained12. While traditional public health control measures often rely on the identification of individuals without symptoms, increased attention is also placed on transmission from individuals without symptoms. To better understand how, when, and what types of settings transmission occurs, it is important to also distinguish pre-symptomatic transmission from infected individuals before they develop symptoms and truly asymptomatic transmission from infected individuals who never develop symptoms13.
SARS-CoV-2 can be transmitted by individuals during the incubation period, during the time between exposure to the virus, and during the development of symptoms14. The estimated median incubation period of SARS-CoV-2 is 5–14 days15. The likelihood of pre-symptomatic transmission is further supported by studies on viral shedding that show it is highest around the onset of symptoms, followed by a progressive decline post-symptoms16. Several studies have demonstrated pre-symptomatic transmission within closed settings, including a United States nursing facility, where more than half of the residents who tested positive for COVID-19 were asymptomatic at the time17, and household clusters in China where individuals who tested positive were only exposed to pre-symptomatic family members18,19. Further mathematical modeling in Singapore and China has estimated that pre-symptomatic transmission contributed to 48% and 62% of secondary cases, respectively20. Another model in China estimated that 44% of secondary cases contracted the disease from an index case during the pre-symptomatic phase21. However, a study of 273 cases from seven clusters in Singapore reported that 6.4% of secondary cases were caused by pre-symptomatic transmission22. The reasons for the difference in modeling and observed cases remain unclear. In the absence of wide population-based antibody testing, the proportion of truly asymptomatic cases that never develop symptoms is difficult to estimate accurately and reports vary widely23. A meta-analysis has estimated the proportion to be 16%, ranging from 6% to 41%24. It further discussed limitations in available studies including unclear definitions of asymptomatic cases and incomplete follow-up of cases to determine if they remained truly asymptomatic24. Another model has estimated that up to 24% of SARS-COV-2 transmissions worldwide came from individuals without symptoms25. This is further supported by a study in China that identified and hospitalized 279 contacts of COVID-19 positive cases and found that 23% remained asymptomatic until discharge. The mean age of this cohort was 39 years, and 87% had no comorbidities26. In Qatar, an epidemiological study4 examined the first 5,685 COVID-19 cases from 28 February 2020 to 18 April 2020. The median age of the patients was 34 (IQR 28–43) years, of which 89% were male and 91% were non-Qatari expatriates. The majority (91%) had no symptoms or had mild symptoms, 2% had a severe or critical illness, and 84% of cases had no comorbidities. Although asymptotic and pre-symptomatic cases are not described, it does highlight that most cases occur among young, healthy individuals who only exhibit minimal symptoms and should be considered an important source of infection.
Key Observations
Control measures worldwide and implications for Qatar
As countries implement social and physical distancing, contact tracing, testing, and isolation with varying strategies, we discuss examples from similar settings and events in Qatar to guide current and long-term planning for COVID-19 control. Key priority areas include extended religious holiday periods, a high-capacity international airport, and expatriates living and working in high-density environments.
Mass travel during holiday periods and travel restrictions
A significant challenge during the pandemic has been mass population movement for extended periods during major national holidays, which became evident for many countries early in the pandemic. China has the largest example, where mass migration occurred for the Lunar New Year Holiday and millions traveled for family visits within 40 days. Cases of atypical pneumonia were first reported in China's epidemic center Wuhan City, the capital of Hubei province, on 31 December 201927. After travel restrictions were placed on Wuhan City on 23 January 2020, most Chinese cities had already received infected travelers28. One model predicted that this travel ban only resulted in modest delays of 3–5 days within mainland China29. Hence, the implementation and adoption of social and physical distancing policies became critical for limiting contact and preventing transmission from individuals who had traveled outside of Hubei province, especially from those without symptoms or showing mild symptoms. The Lunar New Year Holiday period was due to end on 31 January 2020; however, a key control measure by government authorities was to extend the dates. In effect, it postponed the return to work and schools, so that the duration of the holiday would sufficiently cover the suspected incubation period. Additionally, infected asymptomatic and pre-symptomatic individuals in Wuhan were quarantined in temporary field hospitals, while those outside of Wuhan were encouraged to quarantine at home until symptoms presented for treatment30.
Iran also experienced similar challenges of mass population travel for the Iranian New Year Holiday of Nowruz, as it became a new epicenter for COVID-19. Iran confirmed its first case of COVID-19, imported from China on 19 February 2020, which rapidly spread to most provinces before Nowruz commenced on 20 March 202031. While restrictions were placed on international travel, domestic travel remained possible during the 2-week holiday period, and millions continued to visit family and friends and tourism locations across the country32. Within the first week of Nowruz, Iran experienced a subsequent peak in the number of cases33, and travel restrictions where citizens could not leave their cities of residence were subsequently placed on 11 April 2020 after the holiday period.
China’ and Iran's experiences highlight the importance of timing restrictions during peak periods of travel. Although Qatar has a much smaller population and size, the peak of the pandemic coincided with the 30-day period of Ramadan that commenced on 23 April 20206. Ramadan is associated with large community gatherings, frequent visits to family and friends, and vacations following the last day of Eid on 23 May 2020. Mosques, large gatherings, and international travel were suspended during and after this time. The country also enforced further restrictions, including wearing of masks in public, restrictions on public and household social gatherings and on the number of passengers in vehicles. The first phase of a planned lifting of restrictions commenced weeks after Eid on 15 June 202034, where limited mosques and commercial businesses with low capacity began reopening. A model has estimated that social and physical distancing interventions reduced peaks for incidence, prevalence, acute-care hospitalization, and intensive care unit hospitalization by 87%, 86%, 76%, and 78%, respectively35. As the pandemic progressed, Qatar continued to operate with a certain level of restrictions that were increased again in preparation for Eid the following year, with gradual lifting in three phases commencing after the holiday period on 28 May 202134. Accordingly, well-timed and public communication of plans and periods for increasing and lifting restrictions has remained an important tool in the country.
International airports and screening of travelers
In addition to domestic and international travel restrictions, border control must look for effective strategies for screening travelers. Current evidence indicates that temperature screening alone at entry and exit points is ineffective at preventing the entry of infected travelers. Thermal screening cannot detect infected individuals who are not showing symptoms, and fever can be temporarily reduced using antipyretics. One model estimated that 46% of infected travelers would not be detected at entry or exit points, even under best-case assumptions for the sensitivity of screening, incubation period, and proportion of infected travelers without symptoms36. Another model estimated that screening will miss more than half of infected individuals under best-case assumptions37. Temperature screening also requires a substantial cost investment for its limited effectiveness.
Thus, early in the pandemic, testing for SARS-CoV-2 was a critical tool to screen travelers returning to Qatar. Qatar identified the first cases of COVID-19 among quarantined returning travelers on 28 February 2020, which was followed by its first cluster of 300 cases by 6 March 2020. This prompted investment and rapid expansion of the testing capacity to approximately 4,000 tests per day performed by a central laboratory at Hamad Medical Corporation, the national public health service provider4. To further facilitate testing, important efforts included inviting individuals who had recently returned from overseas to a drive-through testing clinic, commencing on 2 March 2020. This enabled individuals to remain isolated in their vehicles and minimize transmission from congregating in a hospital's waiting area38.
A further challenge is supporting the exchange of health information between individuals and public health authorities. Qatar has utilized a mobile application known as Ehteraz as a contact tracing tool that further records an individual's status for testing and infection (positive, negative, or suspected), quarantine, and vaccination39. As of 10 September 2021, the application remains in routine use, and a negative infection status is required to enter indoor facilities, as well as a complete vaccination status to dine indoors and participate in other activities as part of government preventative measures34. Moreover, Qatar's Hamad International Airport is a major transportation hub between Europe, Asia, and the Middle East that served nearly 39 million passengers in 2019. Regarding the national airline, Qatar Airways was also the largest airline to continue services during the pandemic40. The airport's demand is also expected to increase to 53 million passengers annually by 2022 because Qatar will host the FIFA World Cup9. Methods that improve contact tracing and the collection of health information such as vaccination status, testing status, and travel history will be imperative in the long term as Qatar prepares for an increase in international visitors, in addition to supporting global travel by its citizens and expatriate residents.
High-density settings
High-density work and household settings can increase the risk of transmission between individuals during the COVID-19 pandemic, and key examples are healthcare facilities, aged care facilities, cruise ships, and other residential facilities with shared and congregated housing. COVID-19 outbreaks across these settings have shown that when symptomatic cases are identified, asymptomatic cases are also frequently present41. The municipality of Vo’ in Italy's Veneto region provides an example of how mass community-based testing combined with case isolation, including those without symptoms, and community lockdowns can control local outbreaks. On 21 February 2020, Italy reported its first COVID-19-related death in the municipality of Vo’. Regional authorities promptly placed Vo’ in lockdown for 14 days and commenced testing of its 3,000 residents with isolation of all infected individuals, of which 43% were found to have no symptoms42. This early response resulted in a reduction of infected individuals from 2.6% to 0.3%, with no further cases of transmission as the remaining cases were effectively isolated. This wider testing strategy was adopted across the wider Veneto region. By contrast, the Lombardy region had twice the population of Veneto and only tested symptomatic individuals at this time. The number of tests per capita performed in Veneto was two times as high as Lombardy, while the case-fatality rate in Veneto was two times lower than that in Lombardy43. Accordingly, extending testing to include asymptomatic cases and close contacts has been increasingly recommended for the detection of asymptomatic cases, as well as understanding the local epidemiology of COVID-19. This must also consider the resources and capacity of health systems and testing laboratories to respond.
Within Qatar, several studies have tried to further understand the prevalence and risk of infection among select populations. Regarding demography, Qatar is often categorized as having a 40% professional population that consists of single and family households largely in office and service work versus a 60% population of craft and migrant workers8. A recent seroprevalence study in Qatar tested 112,941 individuals for SARS-COV-2 antibodies between May and September 2020, which indicates prior infection as opposed to PCR testing that detects the present infection. It found that less than 20% of the professional population was positive for antibodies. Of those positive, 47% had received a prior PCR-confirmed diagnosis44. By contrast, a separate seroprevalence study tested 2,641 craft and manual workers between July and September 2020, of which 55% had SARS-COV-2 antibodies, while 11% were PCR-positive45. The higher prevalence of infection among craft workers was associated with occupation, with higher odds found among security, transport, cleaning, technical, and construction workers than among professional workers. Craft and migrant workers are also considered more vulnerable to infection due to shared high-density accommodation, transportation, and equipment5,45. These results also suggest that the country's restrictions were more effective at reducing infection among its professional population, but they remained vulnerable to future outbreaks, while craft and manual workers were closer to reaching herd immunity44. In an additional study on surveillance data in Qatar on 201,006 individuals between March and July 2020, those employed in the private sector had a higher positivity rate than those employed in the government sector46. Wider testing reveals gaps in protection across the population. However, since the time of these studies, Qatar has continued its vaccination strategy, and as of 12 September 2021, over 78% of the total population aged ≥ 16 years are fully vaccinated with two doses of Pfizer or Moderna6.
A further study conducted extensive testing of 16,912 healthcare workers employed at Hamad Medical Corporation, which includes 12 hospitals, the National Ambulance Services, and tertiary care services47. Of these, 11% were COVID-19 cases confirmed by RT-PCR and 67% reported experiencing at least one symptom. The study revealed several important considerations for control of transmission within healthcare settings: the vast majority (95%) had acquired infection at a non-COVID-19 facility, many reported exposure to a colleague (45%) or patient (29%) at a non-COVID-19 facility, and adherence to full protective personal clothing was significantly less in non-COVID-19 facilities (68%) than in dedicated COVID-19 facilities (82%). As restrictions are lifted in line with the decline of detected COVID-19 cases and efforts continue to prevent a resurgence in cases, sustained access to testing particularly in high-density and high-risk settings will be a key measure to contain community outbreaks.
Conclusion
Factors that apply to Qatar that can increase the risk of transmission include family and social gatherings during religious holidays, a high-capacity international airport, high-density accommodation, and work environments. Our ability to predict periods of high transmission, use of methods to improve contact tracing and sharing of information, and implementation of a broad testing strategy to reduce the risk of transmission are imperative, not only in the current situation but in the long term as the country prepares to receive a substantial increase in the number of visitors during the FIFA World Cup in 2022 and protect its citizens and residents.
References
- 1. Petersen E, Koopmans M, Go U, et al. Comparing SARS-CoV-2 with SARS-CoV and influenza pandemics, Lancet Infect Dis 2020;20(9):e238–e244. [DOI] [PMC free article] [PubMed]
- 2. Petrosillo N, Viceconte G, Ergonul O, et al. COVID-19, SARS and MERS: are they closely related?, Clin Microbiol Infect 2020;26(6):729–734. [DOI] [PMC free article] [PubMed]
- 3. Killerby ME, Biggs HM, Midgley CM, et al. Middle East respiratory syndrome coronavirus transmission, Emerg Infect Dis 2020;26(2):191–198. [DOI] [PMC free article] [PubMed]
- 4. Al Kuwari HM, Abdul Rahim HF, Abu-Raddad LJ, et al. Epidemiological investigation of the first 5685 cases of SARS-CoV-2 infection in Qatar, 28 February 2018 April 2020, BMJ Open 2020;10(10):e040428. [DOI] [PMC free article] [PubMed]
- 5. Al-Kuwari MG, Abdulmalik MA, Bakri AH, et al. Epidemiological characteristics of the primary health care workers in Qatar: March–October 2020, Front Public Health 2021;9:679254. [DOI] [PMC free article] [PubMed]
- 6. Ministry of Public Health. COVID19 status in Qatar [Internet], Doha: Government of Qatar; 2021. Available from: https://www.data.gov.qa/pages/dashboard-covid-19-cases-in-qatar.
- 7. Planning and Statistics Authority, Population and statistics quarterly bulletin: first quarter 2021, Doha: PSA; 2021.
- 8. Planning and Statistics Authority, Labor force sample survey 2019: statistical analysis, Doha: PSA; 2019.
- 9. International Civil Aviation Authority, FIFA World Cup, ICAA; 2020 [updated 2020 Sep 20; cited 2021 Sep 11]; 2022 [Internet]. Available from: https://www.icao.int/MID/Documents/2019/FWC2022%20TF2/FWC2022%20TF2%20PPT2.pdf.
- 10. Wu S, Wang Y, Jin X, et al. Environmental contamination by SARS-CoV-2 in a designated hospital for coronavirus disease 2019, Am J Infect Control 2020;48(8):910–914. [DOI] [PMC free article] [PubMed]
- 11. Wei L, Lin J, Duan X, et al. Asymptomatic COVID-19 patients can contaminate their surroundings: an environment sampling study, mSphere 2020;5(3) [DOI] [PMC free article] [PubMed]
- 12. Leclerc QJ, Fuller NM, Knight LE, et al. What settings have been linked to SARS-CoV-2 transmission clusters?, Wellcome Open Res 2020;5(83):83. [DOI] [PMC free article] [PubMed]
- 13. World Health Organization. Coronavirus disease 2019 situation report – 73 [Internet], Geneva: WHO; 2020. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-covid-19.pdf?sfvrsn = 5ae25bc7_6.
- 14. World Health Organization. Transmission of SARS-CoV-2: implications for infection prevention precautions [Internet], Geneva: WHO; 2020. Available from: https://www.who.int/publications/i/item/modes-of-transmission-of-virus-causing-covid-19-implications-for-ipc-precaution-recommendations.
- 15. Lauer SA, Grantz KH, Bi Q, et al. The incubation period of coronavirus disease 2019 (CoVID-19) from publicly reported confirmed cases: estimation and application, Ann Intern Med 2020;172(9):577–582. [DOI] [PMC free article] [PubMed]
- 16. Lui Y, Yan LM, Wan L, et al. Viral dynamics in mild and severe cases of COVID-19, Lancet Infect Dis 2002;20(6):656-657. [DOI] [PMC free article] [PubMed]
- 17. Arons MM, Hatfield KM, Reddy SC, et al. Presymptomatic SARS-CoV-2 infections and transmission in a skilled nursing facility, N Engl J Med 2020;382(22):2081–2090. [DOI] [PMC free article] [PubMed]
- 18. Tong ZD, Tang A, Li KF, et al. Potential presymptomatic transmission of SARS-CoV-2, Zhejiang Province, China, 2020, Emerg Infect Dis 2020;26(5):1052–1054. [DOI] [PMC free article] [PubMed]
- 19. Yu P, Zhu J, Zhang Z, et al. A familial cluster of infection associated with the 2019 novel coronavirus indicating possible person-to-person transmission during the incubation period, J Infect Dis 2020;221(11):1751–1761. [DOI] [PMC free article] [PubMed]
- 20. Ganyani T, Kremer C, Chen D, et al. Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020, Eurosurveillance 2020;25(17) [DOI] [PMC free article] [PubMed]
- 21. He X, Lau EHY, Wu P, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19, Nat Med 2020;26(5):672–675. [DOI] [PubMed]
- 22. Wei WE, Li Z, Chiew CJ, et al. Presymptomatic transmission of SARS-CoV-2 - Singapore, January 23 - March 16, 2020, MMWR Morb Mortal Wkly Rep 2020;69(14):411–415. [DOI] [PMC free article] [PubMed]
- 23. Heneghan C, Brassey J, Jefferson T. COVID-19: what proportion are asymptomatic? [Internet], Oxford: CEBM; 2020. Available from: https://www.cebm.net/covid-19/covid-19-what-proportion-are-asymptomatic.
- 24. Byambasuren O, Cardona M, Bell K, et al. Estimating the extent of true asymptomatic COVID-19 and its potential for community transmission: systematic review and meta-analysis, JAMMI 2020;5(4):223–234. [DOI] [PMC free article] [PubMed]
- 25. Johansson MA, Quandelacy TM, Kada S, et al. SARS-CoV-2 transmission from people without COVID-19 symptoms, JAMA Network Open 2021;4(1):e2035057. [DOI] [PMC free article] [PubMed]
- 26. Wang Y, Tong J, Qin Y, et al. Characterization of an asymptomatic cohort of SARS-COV-2 infected individuals outside of Wuhan, China, Clin Infect Dis 2020;71(6) [DOI] [PMC free article] [PubMed]
- 27. Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study, Lancet 2020;395(10225):689–697. [DOI] [PMC free article] [PubMed]
- 28. Tian H, Liu Y, Li Y, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in, Chin Sci 2020;368(6941):638–642. [DOI] [PMC free article] [PubMed]
- 29. Chinazzi M, Davis JT, Ajelli M, et al. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak, Science 2020;368(6489):395–400. [DOI] [PMC free article] [PubMed]
- 30. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study, Lancet 2020;395(10223):507–513. [DOI] [PMC free article] [PubMed]
- 31. Heidari M, Sayfouri N, Nowruz DP. Aggravate Covid-19 crisis in Iran?, Disaster Med Public Health Prep 2020;14(4):e5–e6. [DOI] [PMC free article] [PubMed]
- 32. Farnoosh G, Hassanpour K, Badri T, Hosseini Zijoud SR. What are the consequences when Iran coincides with COVID-19?, Res Mol Med 2020;8(2):49–50.
- 33. World Health Organization. Iran (Islamic Republic of) [Internet], Geneva: WHO; 2020. Available from: https://covid19.who.int/region/emro/country/ir.
- 34. Government communications office, preventative measures, Doha: Government of Qatar; 2021. Available from: https://www.gco.gov.qa/en/preventative-measures/
- 35. Ayoub HH, Chemaitelly H, Seedat S, et al. Mathematical modeling of the SARS-CoV-2 epidemic in Qatar and its impact on the national response to COVID-19, J Glob Health 2021;11:05005. [DOI] [PMC free article] [PubMed]
- 36. Quilty BJ, Clifford S, Flasche S, et al. Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV), Euro Surveill 2020;25(5) [DOI] [PMC free article] [PubMed]
- 37. Gostic K, Gomez AC, Mummah RO, et al. Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19, eLife 2020;9:e55570. [DOI] [PMC free article] [PubMed]
- 38. Alinier G, Morris B, Abu J, et al. Implementation of a drive-through testing clinic in Qatar for residents having recently returned from a country with a COVID-19 travel warning, Qatar Med J 2020;2020(3):42. [DOI] [PMC free article] [PubMed]
- 39. Ministry of Public Health. “Etheraz” plays vital role in keeping people safe during lifting of restrictions, say health officials [Internet], Doha: MOPH; 2020. Available from: https://www.moph.gov.qa/english/mediacenter/News/Pages/NewsDetails.aspx?ItemId = 274.
- 40. International Airport H, International H. Airport marked a record number of passengers in 2019 with 38.78 million passengers served [Internet], Doha: HIA; 2020. Available from: https://dohahamadairport.com/media/hamad-international-airport-marked-record-number-passengers-2019-3878-million-passengers.
- 41. Testing strategy for coronavirus (COVID-19) in high-density critical infrastructure workplaces after a COVID-19 case is identified [Internet], Atlanta: CDC; 2020. Available from: https://www.cdc.gov/coronavirus/2019-ncov/community/worker-safety-support/hd-testing.html.
- 42. Lavezzo E, Franchin E, Ciavarella C, et al. Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’, Nature 2020;584(7821):425–429. [DOI] [PubMed]
- 43. Romagnani P, Gnone G, Guzzi F, et al. The COVID-19 infection: lessons from the Italian experience, J Public Health Policy 2020;41(3):238–244. [DOI] [PMC free article] [PubMed]
- 44. Coyle PV, Chemaitelly H, Ben Hadj Kacem MA, et al. SARS-CoV-2 seroprevalence in the urban population of Qatar: an analysis of antibody testing on a sample of 112,941 individuals, iScience 2021;24(6):102646. [DOI] [PMC free article] [PubMed]
- 45. Al-Thani MH, Farag E, Bertollini R, et al. SARS-CoV-2 infection is at herd immunity in the majority segment of the population of Qatar, Open Forum Infect Dis 2021;8(8) [DOI] [PMC free article] [PubMed]
- 46. Al-Kuwari MG, Al-Nuaimi AA, Abdulmajeed J, et al. COVID-19 infection across workplace settings in Qatar: a comparison of COVID-19 positivity rates of screened workers from March 1st to July 31st, 2020, J Occup Med Toxicol 2021;16(21) [DOI] [PMC free article] [PubMed]
- 47. Alajmi J, Jeremijenko AM, Abraham JC, et al. COVID-19 infection among healthcare workers in a national healthcare system: the Qatar experience, Int J Infect Dis 2020;100:386–389. [DOI] [PMC free article] [PubMed]