| Literature DB >> 34704090 |
Charles Ssuuna1, Ronald Moses Galiwango1, Edward Nelson Kankaka1, Joseph Kagaayi2, Anthony Ndyanabo1, Godfrey Kigozi1, Gertrude Nakigozi1, Tom Lutalo3, Robert Ssekubugu1, John Bosco Wasswa1, Anthony Mayinja1, Martina Cathy Nakibuuka1, Samiri Jamiru1, John Baptist Oketch1, Edward Muwanga4, Larry William Chang5, Mary Kate Grabowski6, Maria Wawer6, Ronald Gray6, Mark Anderson7, Michael Stec7, Gavin Cloherty7, Oliver Laeyendecker8, Steven James Reynolds9, Thomas C Quinn9, David Serwadda2.
Abstract
Background: Globally, key subpopulations such as healthcare workers (HCWs) have a higher risk of contracting SARS-CoV-2. In Uganda, limited access to personal protective equipment amidst lack of clarity on the extent and pattern of the community disease burden may exacerbate this situation. We assessed SARS-CoV-2 antibody seroprevalence among high-risk sub-populations in South-central Uganda, including HCWs, persons within the general population previously reporting experiencing key COVID-19 like symptoms (fever, cough, loss of taste and smell) and archived plasma specimens collected between October 2019 â€" 18 th March 2020, prior to confirmation of COVID-19 in Uganda.Entities:
Year: 2021 PMID: 34704090 PMCID: PMC8547523 DOI: 10.21203/rs.3.rs-960585/v1
Source DB: PubMed Journal: Res Sq
Factors associated with SARS-CoV-2 seropositivity among Healthcare workers
| Sociodemographic characteristics | n (%) seropositive N=159 | Univariate Odds Ratio (95% CI) | |
|---|---|---|---|
| Sex | Male | 61 (38.4) | 0.9 (0.6–1.2) |
| Female | 98 (61.6) | Ref | |
| Age category | 15–24 | 33 (20.8) | 0.7 (0.4– 1.1) |
| 25–34 | 57 (35.8) | Ref. | |
| 35–44 | 39 (24.5) | 0.8 (0.5–1.3) | |
| 45–54 | 21 (13.2) | 1.1 (0.6–1.9) | |
| 55+ | 9 (5.7) | 0.7 (0.3–1.5) | |
| Cadre | Medical Officer | 3 (1.9) | 1.3 (0.4–5.1) |
| Clinical Officer | 8 (5.0) | 1.8 (0.7–4.3) | |
| Nurse (all levels) | 57 (35.8) | Ref | |
| Lab tech (all levels) | 16 (10.1) | 1.4 (0.8–2.7) | |
| Other staff | 75 (47.2) | 1.0 (0.7–1.5) | |
Factors associated with SARS-COV-2 seropositivity among phone-based survey participants
| Sociodemographic characteristics | n (%) seropositive N=27 | Univariate Odds Ratio (95% CI) | |
|---|---|---|---|
| HIV status | Negative | 14 (51.9) | Ref |
| Positive | 13 (48.1) | 1.0 (0.5–2.3) | |
| Sex | Male | 9 (33.3) | 0.9 (0.4–2.1) |
| Female | 18 (66.7) | Ref | |
| Age category | 15–24 | 0 (0.0) | |
| 25–34 | 7 (25.9) | 0.9 (0.4. 2.4) | |
| 35–44 | 14 (51.9) | Ref | |
| 45–54 | 6 (22.2) | 1.5 (0.5–4.2) | |
| Occupation | Agriculture for home use/barter | 10 (37.0) | Ref |
| Agriculture for selling | 1 (3.7) | 0.1 (0.0–1.1) | |
| Fishing | 3 (11.1) | 1.2 (0.3–4.8) | |
| Shopkeeper | 3 (11.1) | 1.5 (0.4–6.7) | |
| Trading/vending | 5 (18.5) | 0.6 (0.2–2.0) | |
| Bar worker or owner | 2 (7.4) | 2.3 (0.4–14.3) | |
| Waitress/Waiter/restaurant owner | 1 (3.7) | 0.9 (1.0–8.8) | |
| Construction | 1 (3.7) | 4.6 (0.3–79.9) | |
| Boda Boda | 1 (3.7) | 1.5 (0.1–16.3) | |