Background
Methods
Study design
The study area, period and characteristic of study population
Sample collection and processing
Development of indigenous anti-CCHF human IgG ELISA, its validation and screening of human serum samples
Data analysis of results of samples screened using anti-CCHF human IgG ELISA
Results
The study area, period and characteristic of study population
District- wise human samples collected from Gujarat State | ||||
---|---|---|---|---|
Sr. No. | District | Total samples collected | Percent | 95% CI |
1 | Ahmedabad | 100 | 2.01% | 1.65–2.44 |
2 | Amreli | 196 | 3.94% | 3.43–4.51 |
3 | Anand | 100 | 2.01% | 1.65–2.44 |
4 | Aravalli | 89 | 1.79% | 1.46–2.19 |
5 | Kheda | 96 | 1.93% | 1.58–2.35 |
6 | Kutch | 100 | 2.01% | 1.65–2.44 |
7 | Botad | 100 | 2.01% | 1.65–2.44 |
8 | Morbi | 100 | 2.01% | 1.65–2.44 |
9 | Rajkot | 100 | 2.01% | 1.65–2.44 |
10 | Valsad | 200 | 4.02% | 3.51–4.60 |
11 | Jamnagar | 90 | 1.81% | 1.47–2.22 |
12 | Patan | 100 | 2.01% | 1.65–2.44 |
13 | Mehsana | 77 | 1.55% | 1.24–1.93 |
14 | Surendranagar | 100 | 2.01% | 1.65–2.44 |
15 | Panchmahal | 200 | 4.02% | 3.51–4.60 |
16 | Devbhoomi Dwarka | 201 | 4.04% | 3.53–4.62 |
17 | Porbandar | 103 | 2.07% | 1.71–2.50 |
18 | Banaskantha | 191 | 3.84% | 3.34–4.41 |
19 | Girsomnath | 200 | 4.02% | 3.51–4.60 |
20 | Gandhinagar | 200 | 4.02% | 3.51–4.60 |
21 | Narmada | 197 | 3.96% | 3.45–4.54 |
22 | Navsari | 206 | 4.14% | 3.62–4.73 |
23 | Junagadh | 200 | 4.02% | 3.51–4.60 |
24 | Mahisagar | 182 | 3.66% | 3.17–4.21 |
25 | Sabarkantha | 203 | 4.08% | 3.56–4.66 |
26 | Surat | 197 | 3.96% | 3.45–4.54 |
27 | Tapi | 200 | 4.02% | 3.51–4.60 |
28 | Vadodara | 200 | 4.02% | 3.51–4.60 |
29 | Bharuch | 190 | 3.82% | 3.32–4.39 |
30 | Bhavnagar | 114 | 2.29% | 1.91–2.74 |
31 | Chhota Udepur | 195 | 3.92% | 3.41–4.49 |
32 | Dahod | 200 | 4.02% | 3.51–4.60 |
33 | Dang | 51 | 1.02% | 0.78–1.34 |
Total samples collected | 4978 | 100.00% |
Subject category | Total number of serum samples (%) | Number of female serum samples (%) | Number of male serum samples (%) |
---|---|---|---|
A: CCHF Affected Person/House/Close contact | 199 (3.99) | 98 (49.24%) | 101 (50.75%) |
B: Neighborhood contacts | 829 (16.65) | 487 (58.74%) | 342 (41.25%) |
C: Animal Handler | 723 (14.52) | 404 (55.87%) | 319 (44.12%) |
D: General population | 1677 (33.68) | 963 (57.42%) | 714 (42.57%) |
E: Farmer | 1035 (20.79) | 440 (42.51%) | 595 (57.48%) |
F: Abattoir worker | 104 (2.08) | 32 (30.76%) | 72 (69.23%) |
G: Veterinary worker | 104 (2.08) | 4 (3.84%) | 100 (96.15%) |
H: Healthcare worker | 307 (6.16) | 159 (51.79%) | 148 (48.20%) |
Total samples | 4978 | 2587 | 2391 |
Development of indigenous anti-CCHF human IgG ELISA, its validation and screening of human serum samples
Anti-CCHF IgG positive and negative samples tested by Vector Best kit, Russia | Total number of samples tested by both the kits | Anti-CCHF Human IgG ELISA (NIV kit) | |
---|---|---|---|
IgG antibody Positive | IgG antibody Negative | ||
CCHF IgG Positive | 7 | 6 | 1 |
CCHF IgG Negative | 129 | 2 | 127 |
Total | 136 | 8 | 128 |
Data analysis of human serum samples screened using anti-CCHF human IgG ELISA
Risk factors | Negative | Positive (Percent %) | Total | Odds ratio | 95% CI | p-value |
---|---|---|---|---|---|---|
Gender | ||||||
Male | 2373 | 18 (0.75) | 2391 | 2.8033 | 1.16–6.72 | 0.0209* |
Female | 2580 | 7 (0.27) | 2587 | 1 | ||
Age groups | ||||||
0 - < 20 | 498 | 1 (0.20) | 499 | 1 | ||
20 - < 40 | 2126 | 7 (0.33) | 2133 | 1.6343 | 0.20–13.31 | 0.6462 |
40 - < 60 | 1773 | 14 (0.78) | 1787 | 3.9015 | 0.51–29.74 | 0.189 |
60 - < 80 | 542 | 3 (0.55) | 545 | 2.7565 | 0.28–26.58 | 0.3806 |
80 - < 100 | 14 | 0 | 14 | 0 | ||
Subject Category | ||||||
A: CCHF affected person/ house/ close contacts | 182 | 17 (8.54%) | 199 | 88.3317 | 11.68–667.55 | < 0.0001* |
F: Abattoir workers | 103 | 1 (0.96%) | 104 | 9.9423 | 0.61–160.12 | 0.1053 |
B: Neighborhood | 824 | 5 (0.60%) | 829 | 6.2364 | 0.72–53.48 | 0.095 |
C: Animal grazers | 722 | 1 (0.14%) | 723 | 1.4302 | 0.08–22.93 | 0.8004 |
E: Farmers | 1034 | 1 (0.10%) | 1035 | 1 | ||
D: General population | 1677 | 0 | 1677 | 0 | ||
G: Veterinarian | 104 | 0 | 104 | 0 | ||
H: Healthcare personnel | 307 | 0 | 307 | 0 | ||
Seropositive Districts | ||||||
Ahmedabad | 99 | 1 (1.00%) | 100 | 2.01 | 0.12–32.47 | 0.6228 |
Amreli | 185 | 11 (5.61%) | 196 | 11.2806 | 1.44–88.20 | 0.0209* |
Aravalli | 86 | 3 (3.37%) | 89 | 6.7753 | 0.69–66.03 | 0.0996 |
Rajkot | 98 | 2 (2.00%) | 100 | 4.02 | 0.36–44.86 | 0.2583 |
Kutch | 98 | 2 (2.00%) | 100 | 4.02 | 0.36–44.86 | 0.2583 |
Surendranagar | 99 | 1 (1.00%) | 100 | 2.01 | 0.12–32.47 | 0.6228 |
Anand | 99 | 1 (1.00%) | 100 | 2.01 | 0.12–32.47 | 0.6228 |
Kheda | 95 | 1 (1.04%) | 96 | 2.0937 | 0.12–33.83 | 0.6027 |
Morbi | 99 | 1 (1.00%) | 100 | 2.01 | 0.12–32.47 | 0.6228 |
Panchmahal | 199 | 1 (0.50%) | 200 | 1.005 | 0.06–16.17 | 0.9972 |
Devbhoomi Dwarka | 200 | 1 (0.50%) | 201 | 1 |