COVID-19, with its 767 million confirmed cases and 6.9 million deaths recorded until July 2, 2023 [1] , is one of the most devastating pandemics recorded since the last century, after the Spanish flu. Declared a pandemic on 11 March 2020 by the WHO Director-General, who recommended mass laboratory testing as the main backbone of the response, significant efforts and resources have been deployed, but not commensurate with the threat [2] [3] [4] .

As of 28 January 2021, the World Health Organization noted that the number of COVID-19 cases and deaths is rising sharply in Africa as new, more contagious variants of the virus spread to other countries [5] .

More than 175,000 new COVID-19 cases and more than 6200 deaths were recorded in Africa during the week of 18 - 24 January 2021, while the number of infections increased by 50% on the continent between 29 December 2020 and 25 January 2021, compared to the previous four weeks. In week 3, South Africa saw a slight decrease in cases, but 22 countries continue to see a sharp increase in cases. The number of deaths doubled over the same four-week period, with more than 15,000 deaths concentrated mainly in 10 nations in southern and northern Africa [6] [7] .

The 501Y variant, V2, initially identified in South Africa, is predominant and fueling a record number of cases in South Africa and the sub-region. This variant has been found in Botswana, Ghana, Kenya, the French Indian Ocean region of Mayotte, Zambia and 24 non-African countries [7] [8] [9] [10] [11] .

The variant initially detected in the UK was found in Gambia and Nigeria. More research was therefore needed to determine whether the new strain causes more severe disease [8] [10] .

Faced with new variants detected in the United Kingdom, Brazil and South Africa that had multiple mutations in genes encoding spike (S) proteins, authorities have taken drastic measures and warned against the false negativity of some RT-PCR tests whose primers target the S gene, while antigen tests, most of which target the N protein, are mostly spared [4] [7] [12] [13] [14] [15] [16] .

The Central African Republic, after the detection of its first case on March 14, 2020, had then experienced two successive waves, the most recent of which were devastating due to the circulation of variants B.1.1.7 (commonly known as the British variant) and B.1.135 (South African variant) highlighted thanks to the multilateral efforts deployed during the mass campaign launched on March 17, 2021 and coordinated by the technical team of the National Laboratory of Clinical Biology and Health Public [17] . This activity was decisive in the response since it not only made it possible to identify clusters in community settings, but also made it possible to obtain relevant data that served as a compass for the vaccination campaign that began on March 19, 2021 [18] .

Given the risk of new waves already deplored by African countries such as the DRC and Nigeria, a complementary mass campaign that was part of the post-vaccination surveillance and response, was strongly recommended [11] [19] [20] .

The National Laboratory, which had experience and well-established human resources in these types of campaigns, had recently been equipped with LumiraDx® semi-automatic analyzers. The baseline assessments and performance of these automated antigen testing methods justify the use of these new tools for a decisive new campaign in the national response. Because in the Central African Republic, no other automated antigen test for the detection of SARS-CoV-2 was available before this campaign. Antigenic tests, although recognized as having low sensitivity compared to RT-PCR, have the advantage of speed of rendering results and ease of use in a context of low availability of RT-PCR tests. In addition, the use of automated platforms makes it possible to remedy the sensitivity problems of immunochromatographic tests [3] [4] .

It is in this context that this study was conducted with the aim of mass screening by automated antigen tests and identifying clusters and variants of interest of SARS-CoV-2.

Out of 2682 samples analyzed, 109 were positive in the LumiraDx ® Antigen test. PCR confirmed 53 of these positive samples, giving 100% sensitivity and 97.9% specificity for LumiraDx compared to RT-PCR which is the gold standard diagnostic technique for COVID-19 (Table 1).

The average age of volunteers was 38 ± 12.20 years with extremes ranging from 1 to 75 years (Table 2).

P-value = 0.001 ≤ 0.005. Se = VP/(VP + FN), so the probability of detecting the infection actually present in patients with COVID-19 is 100%. Sp = VN/(VN + FP), therefore the probability of screening people who are truly unaffected negative is 97.9%.

^αNLCBPH or LNBCSP (in French): National Laboratory of Clinical Biology and Public Health. ^βPK: Mileage point.

The prevalence of SARS-CoV-2 infections was much higher in those under 10 years of age and in those over 40 years of age (Figure 2 and Figure 3).

The delta variant accounted for 57% of the 52 samples sequenced by Illumina® (Figure 4).

Antigen tests, although recognized as much less sensitive than RT-PCR, offer practical solutions in terms of ease of use and speed of delivery of results during the pandemic at a time when RT-PCR tests were scarce on the market and waiting times for RT-PCR were abnormally long due to increased demand [3] [4] [21] [22] [23] .

In our series, a sensitivity of 100% and a specificity of 97.6% were obtained with the LumiraDx ® Antigen test. Mbow in Senegal [21] on a panel of 184 samples report a sensitivity of 81.6% and a specificity of 100%, values slightly different from ours but also from those reported by the manufacturer (Sensitivity of 97.60% and Specificity of 96.60%).

It should be remembered that the positivity of antigen tests is inversely proportional to the Cycle Threshold (Ct) values of positive samples [2] [21] [22] . Thus, in our series, 96% of samples positive for the LumiraDx® antigen test had a CT value below 30. Indeed, in the literature, antigenic tests are recognized as having lower sensitivity and specificity than RT-PCR [3] [4] [15] . But these poor performances can be improved thanks to automation technologies and with samples of low CT values (less than 30) [21] .

This justifies these variations in performance depending on whether we are in an outbreak period where people infected en masse in a relatively short period of time could have quite high viral loads and therefore enough viral particles to be detected by this antigen test [4] [23] [24] [25] [26] .

The interest of this test was not only to help mass screening but also to solve possible problems related to certain RT-PCR tests using the Spike gene whose results could be difficult to interpret in the presence of new variants. Antigen tests could then detect these cases as long as the amount of viral load inversely proportional to the CT value would have allowed it [27] [28] . However, this campaign period corresponded to that of the circulation of the delta variant which was new and which had led to a very violent second wave in the Central African Republic in a context of low vaccination coverage.

The average age is 38 ± 12.20 years and those under 10 years of age were as affected as those over 40 years of age. It should be noted that at the beginning of the introduction of vaccination, the priority was the immunization of health care workers and people at risk. But as the additional doses were acquired by the health system, this campaign was extended to children and the rest of the population. The reluctance linked to the Post Injection Events (MAPI) had been a brake on the extension of vaccination coverage, even during the second wave.

This study carried out as part of a mass campaign using a new screening technology which has been successfully evaluated shows that it is important to increase screening capacities with automated antigen tests in countries with limited resources. However, the low sampling and the local unavailability of sequencing techniques are the obvious limitations. In the future, we recommend an extension of recruitment sites across the entire territory. The fairly recent implementation of genomic surveillance will boost the monitoring of variants and improve the response.

We certify that all authors have contributed to the realization of the article whether in the technique, coordination and document review.

CDR, ELY, PS, SP, JEKK, EJK, RMS, BK: project design and laboratory techniques.

CDR, NK, LSH, OS, WSN, FXMK, LB, GG, JDDL, BK, AS, PS: data analysis and outcome interpretations and coordination of screening activities.

CDR, NK, LSH, WSN, FXMK, LB, GG, JDDL, BK, MMS, RDB, AS, CDMK, RNN, AS: Manuscript elaboration and document review.

All employees of COVID-19 testing centers and LNBCSP mobilized during the campaign.

Partners such as FIND, Africa CDC, GISAID as well as WHO and INRB of KINSHASA for their technical and logistical support.

The authors declare no conflicts of interest regarding the publication of this paper.

Rafaï, C.D., Somse, P., Nambei, W.S., Lango-Yaya, E., Belizaire, M.-R.D., Vickos, U., Komas, N.P., Senzongo, O., Heredeibona, L.S., Kotemossoua, U.J., Senekian, R.M., Pounguinza, S., Kandou, J.E.K., Mossoro-Kpinde, C.-D., Bélec, L., De Dieu Longo, J., Ngbale, N.R., Sepou, A., Mbopi-Keou, F.-X., Grésenguet, G. and Koffi, B. (2023) Contribution of Automated Antigen Tests, the LumiraDx Ag Test in the Response during the Second Wave of the COVID-19 Pandemic in Bangui. Journal of Tuberculosis Research, 11, 173-183. https://doi.org/10.4236/jtr.2023.114017