| Literature DB >> 35358723 |
Paul Arkell1, Celia Gusmao2, Sarah L Sheridan3, Maria Y Tanesi4, Nelia Gomes4, Tessa Oakley4, Johanna Wapling4, Lucsendar Alves4, Stacey Kopf4, Nevio Sarmento4, Ismael Da Costa Barreto5, Salvador Amaral4, Anthony Dk Draper4, Danina Coelho6, Helio Guterres2, Antonio Salles7, Filipe Machado6, Nicholas Ss Fancourt4, Jennifer Yan4, Ian Marr4, Kristine Macartney3, Joshua R Francis8.
Abstract
Background Serosurveillance can be used to investigate the extent and distribution of immunity to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within a population. Characterisation of humoral immune responses gives insight into whether immunity is infection- or vaccine-derived. Methods A longitudinal study of health care workers (HCWs) in Dili, Timor-Leste, was conducted during vaccine rollout (ChAdOx1) and a concurrent SARS-CoV-2 outbreak. Results A total of 324 HCWs were included at baseline (April-May 2021). Out of those, 32 (9.9%) were seropositive for anti-nucleocapsid protein (anti-N) IgG antibodies, indicating a significant sub-clinical infection among HCWs early in the local outbreak. Follow-up was conducted in 157 (48.5%) participants (July-September 2021), by which time there had been high uptake of vaccination (91.7%), and 86.0% were seropositive for anti-spike protein antibodies. Acquisition of anti-N antibodies was observed in partially vaccinated HCWs (30/76, 39.5%), indicating some post-dose-1 infections. Discussion Serosurveillance of HCWs may provide early warning of SARS-CoV-2 outbreaks and should be considered in non-endemic settings, particularly where there is limited availability/uptake of testing for acute infection. Characterisation of humoral immune responses may be used to assess vaccine impact and coverage. Such studies should be considered in national and international efforts to investigate and mitigate against future emerging pathogens.Entities:
Keywords: COVID-19; ChAdOx1; SARS-CoV-2; healthcare worker; serological surveillance; vaccination
Mesh:
Substances:
Year: 2022 PMID: 35358723 PMCID: PMC8958849 DOI: 10.1016/j.ijid.2022.03.043
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 12.074
Figure 1SARS-CoV-2 epidemic curve for Dili Municipality showing timing of study visits and periods of HCW vaccination HCW, health care worker; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
SARS-CoV-2 seropositivity in different groups of health care workers at baseline and follow-up
| Baseline visit (Apr-May 2021) | Follow-up visit (Jul-Sep 2021) | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n=324 | n=157 | ||||||||||||||
| Anti-S positive | p= | Anti-N positive | p= | Total | Anti-S positive | p= | Anti-N positive | p= | Total | ||||||
| 23 | 12.0% | 12 | 6.3% | 87 | 94.6% | 41 | 44.6% | ||||||||
| 33 | 24.8% | 20 | 15.0% | 61 | 93.8% | 1.000 | 31 | 47.7% | 0.746 | ||||||
| 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | ||||||||
| 18 | 16.7% | 10 | 9.3% | 52 | 94.5% | 21 | 38.2% | ||||||||
| 20 | 17.1% | 8 | 6.8% | 57 | 98.3% | 25 | 43.1% | ||||||||
| 6 | 10.2% | 5 | 8.5% | 21 | 87.5% | 14 | 58.3% | ||||||||
| 12 | 31.6% | 0.407 | 9 | 23.7% | 0.117 | 18 | 100.0% | 0.249 | 12 | 66.7% | |||||
| 4 | 30.8% | 0.251 | 4 | 30.8% | 6 | 100.0% | 1.000 | 4 | 66.7% | 0.414 | |||||
| 19 | 29.7% | 10 | 15.6% | 0.101 | 23 | 88.5% | 0.171 | 16 | 61.5% | 0.089 | |||||
| 9 | 17.6% | 1.000 | 2 | 3.9% | 0.197 | 29 | 96.7% | 1.000 | 12 | 40.0% | 0.544 | ||||
| 1 | 2.7% | 1 | 2.7% | 0.150 | 26 | 96.3% | 1.000 | 7 | 25.9% | ||||||
| 0 | 0.0% | 0.051 | 0 | 0.0% | 0.235 | 5 | 83.3% | 0.302 | 3 | 50.0% | 1.000 | ||||
| 17 | 16.8% | 1.000 | 11 | 10.9% | 0.690 | 36 | 92.3% | 0.395 | 21 | 53.8% | 0.166 | ||||
| 6 | 15.0% | 0.825 | 4 | 10.0% | 1.000 | 23 | 100.0% | 0.358 | 9 | 39.1% | 0.507 | ||||
| 17 | 10.1% | 16 | 9.5% | 8 | 61.5% | 8 | 61.5% | ||||||||
| 19 | 14.5% | 8 | 6.1% | 2 | 66.7% | 2 | 66.7% | ||||||||
| 20 | 80.0% | 8 | 32.0% | 11 | 78.6% | 9 | 64.3% | ||||||||
| 0 | - | 0 | - | 21 | 100.0% | 10 | 47.6% | ||||||||
| 0 | - | 0 | - | 0.242 | 106 | 100.0% | 43 | 40.6% | |||||||
| 0 | 0.0% | 0.827 | 0.0% | 65 | 94.2% | 1.000 | 28 | 40.6% | 0.262 | ||||||
| 0 | - | - | 0 | - | 7 | 100.0% | 1.000 | 1 | 14.3% | 0.126 | |||||
| 14 | 24.6% | 0.123 | 10 | 17.5% | 49 | 96.1% | 0.719 | 25 | 49.0% | 0.611 | |||||
| 5 | 16.7% | 1.000 | 4 | 13.3% | 0.518 | 32 | 94.1% | 1.000 | 16 | 47.1% | 1.000 | ||||
| 11 | 24.4% | 0.201 | 8 | 17.8% | 0.063 | 38 | 95.0% | 1.000 | 21 | 52.5% | 0.362 | ||||
| 1 | 25.0% | 0.534 | 1 | 25.0% | 0.342 | 9 | 100.0% | 1.000 | 6 | 66.7% | 0.303 | ||||
| 0 | 0.0% | 0.359 | 0 | 0.0% | 1.000 | 16 | 100.0% | 0.599 | 9 | 56.3% | 0.432 | ||||
| 6 | 20.0% | 0.619 | 4 | 13.3% | 0.518 | 29 | 96.7% | 1.000 | 15 | 50.0% | 0.686 | ||||
| 9 | 25.7% | 0.162 | 7 | 20.0% | 0.063 | 32 | 94.1% | 1.000 | 16 | 47.1% | 1.000 | ||||
| 1 | 16.7% | 1.000 | 1 | 16.7% | 0.467 | 10 | 100.0% | 1.000 | 7 | 70.0% | 0.188 | ||||
| 11 | 23.4% | 0.295 | 8 | 17.0% | 0.107 | 41 | 95.3% | 1.000 | 22 | 51.2% | 0.474 | ||||
| 5 | 83.3% | 5 | 83.3% | 25 | 100.0% | 18 | 72.0% | ||||||||
| 51 | 16.0% | 27 | 8.5% | 123 | 93.2% | 0.356 | 54 | 40.9% | |||||||
Only samples which were positive for anti-S IgG underwent testing for anti-N IgG. Therefore, all anti-N-positive samples were also anti-S-positive.
anti-N, anti-nucleocapsid; anti-S, anti-spike protein; PPE, personal protective equipment; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Figure 2SARS-CoV-2 serostatus and vaccination status of participants at baseline and follow-up anti-N, anti-nucleocapsid; anti-S, anti-spike protein; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Associations of baseline vaccination status and serostatus with markers of SARS-CoV-2 infection during the follow-up period
| Laboratory-confirmed SARS-CoV-2 infection occurring during follow-up period | Serostatus at follow-up | Total | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | p= | Remained anti-N seronegative | Became anti-N seropositive | p= | |||||||
| 10 | 14.7% | 58 | 85.3% | 38 | 55.9% | 30 | 44.1% | |||||
| 9 | 13.0% | 60 | 87.0% | 42 | 60.9% | 27 | 39.1% | |||||
| 0 | 0.0% | 7 | 100.0% | 0.555 | 4 | 57.1% | 3 | 42.9% | 0.631 | |||
| 18 | 14.0% | 111 | 86.0% | 73 | 56.6% | 56 | 43.4% | |||||
| 1 | 6.7% | 14 | 93.3% | 0.693 | 11 | 73.3% | 4 | 26.7% | 0.274 | |||
| 19 | 13.2% | 125 | 86.8% | 84 | 58.3% | 60 | 41.7% | 144 | ||||
SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Those with evidence of previous SARS-CoV-2 infection (anti-N seropositive) at baseline have been excluded. anti-N, anti-nucleocapsid; anti-S, anti-spike protein.