Volume 27, Number 2—February 2021
Research Letter
Seroprevalence of SARS-CoV-2 in Guilan Province, Iran, April 2020
Maryam Shakiba, Maryam Nazemipour, Arsalan Salari, Fardin Mehrabian, Seyed Saeed H. Nazari, Seyed Mahmoud Rezvani, Zahra Ghasempour, Abtin Heidarzadeh
, and Mohammad Ali Mansournia
, and Mohammad Ali Mansournia
Table
Severe acute respiratory syndrome coronavirus 2 seropositivity prevalence estimates according to study variables, Guilan Province, Iran, April 2020*
| Characteristic | Sample size (%), N = 528 | No. positive | Design-adjusted prevalence (95% CI) | Design- and test performance–adjusted prevalence (95% CI†) |
|---|---|---|---|---|
| Sex | ||||
| M | 257 (48.7) | 55 | 16.8 (13.2–21.2) | 19.0 (12.7–25.4) |
| F |
271 (51.3) |
62 |
22.2 (14.7–32.1) |
25.6 (15.4–36.8) |
| Age group, y | ||||
| <5 | 26 (4.9) | 4 | 8.7 (2.1–30.2) | 9.8 (0.9–22.6) |
| 5–17 | 101 (19.1) | 20 | 17.0 (11.6–24.2) | 19.1 (11.2–27.5) |
| 18–59 | 329 (62.3) | 74 | 21.0 (16.9–25.8) | 24.1 (17.5–31.6) |
| ≥60 |
72 (13.6) |
19 |
22.4 (15.7–31.0) |
25.7 (16.6–36.1) |
| Obesity, BMI >30 | ||||
| No | 474 (89.8) | 107 | 19.8 (16.9–22.9) | 22.6 (16.8–29.0) |
| Yes |
54 (10.2) |
10 |
15.4 (7.8–28.2) |
17.3 (6.2–29.0) |
| SARS-CoV-2 exposure history | ||||
| No | 452 (85.6) | 95 | 18.1 (12.7–25.1) | 20.4 (12.6–28.8) |
| Yes |
76 (14.4) |
22 |
26.9 (13.5–46.5) |
31.2 (13.4–50.8) |
| COVID-19 symptoms in previous 3 mo | ||||
| No | 382 (69.3) | 65 | 15.3 (11.03–20.9) | 17.2 (10.3–24.1) |
| Yes |
169 (30.7) |
52 |
30.05 (25.3–36.4) |
35.5 (27.8–45.8) |
| Underlying condition | ||||
| No | 420 (79.5) | 89 | 18.2(13.6–24.03) | 20.7 (13.5–28.3) |
| Yes |
108 (20.5) |
28 |
25.3 (18.3–33.9) |
29.2 (19.8–40.2) |
| Place of residence | ||||
| Village | 162 (30.7) | 38 | 21.0 (16.0–27.1) | 24.0 (16.5–32.4) |
| Town |
366 (69.3) |
79 |
19.2 (16.0–23.0) |
21.9 (15.8–28.4) |
| Occupation‡ | ||||
| Employee | 53 (10.04) | 19 | 46.0 (35.9–56.5) | 54.3 (41.8–71.1) |
| Housekeeper | 159 (30.1) | 39 | 21.8 (13.4–33.5) | 25.0 (13.6–37.5) |
| Student | 114 (21.6) | 22 | 15.6 (12.1–20.0) | 17.5 (11.3–23.7) |
| Unemployed | 67 (12.7) | 11 | 11.8 (7.6–18.0) | 12.9 (5.9–19.6) |
| Farmer | 16 (3.03) | 3 | 17.4 (9.9–28.8) | 19.7 (9.1–31.0) |
| Salesman | 46 (8.7) | 5 | 7.9 (2.0–26.7) | 8.7 (0.8–20.0) |
| Healthcare personnel | 43 (8.1) | 12 | 13.2 (6.5–24.9) | 14.5 (4.5–25.0) |
| Taxi driver | 13 (2.5) | 5 | 24.0 (7.1–56.7) | 28.0 (4.5–56.3) |
| Worker |
17 (3.2) |
1 |
2.5 (0.1–32.1) |
28.0 (4.5–56.3) |
| County | ||||
| Rasht | 226 (42.8) | 56 | 20.8 (19.7–21.9) | 23.7 (18.6–29.6) |
| Anzali | 75 (14.2) | 23 | 30.0 (29.7–30.4) | 34.8 (29.7–43.2) |
| Astara | 78 (14.8) | 12 | 15.4 (14.3–16.6) | 17.4 (12.0–21.8) |
| Lahijan | 74 (14) | 12 | 15.0 (13.6–16.5) | 16.9 (11.5–21.4) |
| Rudbar | 75 (14.2) | 14 | 17.7 (15.5–20.2) | 20.1 (14.5–25.7) |
*BMI, body mass index; COVID-19, coronavirus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. †Calculated using Monte Carlo simulation method. ‡Employee was defined as a government employee working in an office. Worker was defined as a person performing manual jobs in nongovernmental locations.
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Page updated: January 24, 2021
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