Copyright
©The Author(s) 2025.
World J Virol. Jun 25, 2025; 14(2): 99663
Published online Jun 25, 2025. doi: 10.5501/wjv.v14.i2.99663
Published online Jun 25, 2025. doi: 10.5501/wjv.v14.i2.99663
Table 1 Characteristics of the healthcare workers at baseline, n (%)
Characteristic | High-risk areas (n = 366) | Low-risk areas (n = 82) |
Age, mean (SD) years | 31.7 (8.3) | 39.9 (10.4) |
Gender, male sex | 201 (54.9) | 32 (39.1) |
Comorbidities | ||
Presence of at least one co-morbid illness | 49 (13.4) | 49 (13.4) |
Diabetes mellitus | 17 (4.6) | 8 (9.7) |
Hypertension | 14 (3.8) | 10 (12.2) |
Obstructive airway disease | 31 (8.5) | 9 (10.9) |
Duration of work in COVID-19 areas, mean (SD) months1 | 13 (4.6) | 1.8 (1.2) |
Vaccination details2 | ||
Vaccinated against (COVID-19)2 | 325 (88.8) | 77 (93.9) |
Received two doses | 288 (78.7) | 65 (79.3) |
Received one dose | 37 (10.1) | 12 (14.6) |
Unvaccinated | 41 (11.2) | 5 (6.1) |
Type of vaccine | ||
COVISHIELD™ | 306 (94.2) | 69 (84.4) |
COVAXIN™ | 18 (5.5) | 8 (10.4) |
Sputnik V | 1 (0.3) | 0 (0) |
Table 2 Clinical outcomes among healthcare workers who tested positive for coronavirus disease 2019 infection during the study period, n (%)
Parameter | COVID-19-positive in high-risk areas (n = 120) | COVID-19-positive in low-risk areas (n = 22) | P value |
COVID-19 positivity rate | 120/366 (32.8) | 22/82 (26.8) | 0.17 |
Treated as home isolation | 67 (55.8) | 10 (45.5) | 0.51 |
Hospital admission | 53 (44.2) | 12 (54.5) | 0.58 |
Admission duration, mean (SD), days | 7.4 (3.6) | 6.5 (4) | 0.22 |
Oxygen requirement | 1 (0.01) | 0 | Not applicable |
Ventilation (invasive or non-invasive) | 0 | 0 | - |
Mortality | 0 | 0 | - |
Table 3 Cross-sectional data of clinical infection and seropositivity rates among healthcare workers at various study time periods
Time point | Clinical infection | Nucleocapsid (N) antibody | Spike (S) antibody | |||||||||
Overall | HR | LR | P value | Overall | HR | LR | P value | Overall | HR | LR | P value | |
Baseline | ||||||||||||
T1 (n = 283) [HR | 0/283 (0) | 0/204 (0) | 0/79 (0) | - | 3/283 (1.1) | 3/204 (1.5) | 0/79 (0) | - | 0/283 (0) | 0/204 (0) | 0/79 (0) | - |
First wave | ||||||||||||
T2 (n = 168) [HR | 5/168 (3.0) | 3/121 (2.5) | 2/47 (4.3) | 0.56 | 30/168 (17.9) | 21/121 (17.4) | 9/47 (19.1) | 0.82 | 13/168 (7.7) | 10/121 (8.3) | 3/47 (6.4) | 0.70 |
T3 (n = 214) [HR | 38/214 (17.8) | 32/146 (21.9) | 6/68 (8.8) | 0.046 | 73/214 (34.1) | 54/146 (37) | 19/68 (27.9) | 0.36 | 59/214 (27.6) | 46/146 (31.5) | 13/68 (19.1) | 0.15 |
Second wave | ||||||||||||
T4 (n = 156) [HR | 6/156 (3.9) | 5/110 (4.5) | 1/46 (2.2) | 0.50 | 70/156 (44.9) | 51/110 (46.4) | 19/46 (41.3) | 0.72 | 138/156 (88.5) | 98/110 (89.1) | 40/46 (86.9) | 0.92 |
T5 (n = 175) [HR | 29/175 (16.6) | 21/122 (17.2) | 8/53 (15.1) | 0.77 | 106/175 (60.1) | 77/122 (63.1) | 29/53 (54.7) | 0.60 | 172/175 (98.3) | 121/122 (99.1) | 51/53 (96.2) | 0.11 |
T51 (n = 166) [HR | 24/166 (14.5) | 17/118 (14.4) | 7/48 (14.6) | 0.78 | 100/166 (60.2) | 73/118 (61.9) | 27/48 (56.3) | 0.42 | 164/166 (98.8) | 117/118 (99.2) | 47/48 (97.9) | 0.52 |
Table 4 Seropositivity among COVISHIELD™ vaccinated and unvaccinated healthcare workers at T4 or T5, n (%)
Antibody positive | High-risk areas (n = 143) | Low-risk areas (n = 59) | Inference1 | |
Nucleocapsid + | Spike + | 95 (66.4) | 34 (57.6) | Infection with vaccination |
Nucleocapsid - | Spike + | 45 (31.5) | 22 (37.3) | Vaccination |
Nucleocapsid + | Spike - | 0 (0) | 1 (1.7) | Infection |
Nucleocapsid - | Spike - | 3 (2.1) | 2 (3.4) | Not infected or vaccinated |
Table 5 Studies on seroprevalence among healthcare workers
Ref. | Country | Period | Sample size | Sero-prevalence |
Current study | India | April 2020 (T1) | 283 | 1.1% |
June 2020 to July 2020 (T2) | 168 | 17.9% | ||
October 2020 (T3) | 214 | 34.1% | ||
March 2021(T4) | 156 | 44.9% | ||
June 2021(T5) | 175 | 60.1% | ||
Milazzo et al[19] | Italy | March 2020 | 697 | 0.5% |
May 2020 | 5.4% | |||
Piccoli et al[22] | Switzerland | April 16th to April 30th 2020 | 4726 | 9.6% |
Shields et al[25] | United Kingdom | April 2020 | 545 | 24.4% |
Rudberg et al[24] | Sweden | April 2020 to May 2020 | 2149 | 19.1% |
Self et al[21] | United States | April 2020 to June 2020 | 3248 | 6% |
Airoldi et al[27] | Italy | May 2020 to June 2020 | 2252 | 17.1% |
Oliveira et al[20] | Brazil | June 2020 | 1996 | 5.5% |
Recanatini et al[23] | Netherlands | June 2020 to July 2020 | 2328 | 13.9% |
Kataria et al[28] | United States | July 2020 | 1743 | 5.5% |
Prakash et al[26] | India | August 2020 | 1710 | 23.65% |
Sonmezer et al[30] | Turkey | October 2020 | 1974 | 19% |
Halili et al[29] | Kosovo | October 2020 to December 2020 | 647 | 17.5% |
Wiggen et al[31] | United States | November 2020 to February 2021 December 2020 to February 2021 | 459 | 9.47% 17.7% |
Ige et al[32] | Nigeria | December 2020 to July 2021 | 413 | 30.9% |
Kanamori et al[18] | Japan | 2020 | 3788 | 0.3% |
2021 | 1.6% | |||
2022 | 17.7% | |||
Taher et al[33] | Saudi Arabia | June 2022 to September 2022 | 404 | 94% |
- Citation: Abhilash KPP, Nellimootil MV, Chacko B, Hazra D, Coelho V, Jesudasan JE, Gunasekaran K, Thomas L, Ramchandra MA, Melchizedek J, Gunaraj HM, Moorthy M, Peter JV. Risk of COVID-19 infection among frontline healthcare workers during the COVID-19 pandemic. World J Virol 2025; 14(2): 99663
- URL: https://www.wjgnet.com/2220-3249/full/v14/i2/99663.htm
- DOI: https://dx.doi.org/10.5501/wjv.v14.i2.99663