Year
|
Author
|
Area
|
Number
|
Rate of mixed infection
|
AV plus BV
|
VVC plus BV
|
TV plus BV
|
VVC plus AV
|
AV plus TV
|
VVC plus TV
|
Multiple infections
|
IF
|
Diagnostic
criteria
|
2020(11) |
Schwebke JR |
US |
940 |
256 (27.23%) |
|
147 (57.42%) |
71
(27.73%) |
|
|
15 (5.86%) |
23 (15.65%) |
4.96 |
NAATs |
2019(42) |
Kamga YM |
Cameroon |
198 |
2(14.14%) |
|
28(100.00%) |
0(0.00%) |
|
|
|
|
2.41 |
RM |
2019(43) |
Sherrard J. |
UK |
186 |
15(8.07%) |
|
14 (93.30%) |
|
|
|
1 (6.70%) |
|
1.50 |
RM |
2019(43) |
Sherrard J. |
UK |
172 |
36 (20.93%) |
|
36 (100.00%) |
|
|
|
|
|
1.50 |
NAATs |
2019(44) |
Khan Z |
India |
247 |
21 (8.50%) |
|
21 (100.00%) |
0
(0.00%) |
|
|
0 (0.00%) |
|
2.38 |
RM |
2019(45) |
Abdul-Aziz M |
Yemen |
130 |
10 (7.69%) |
|
9 (90.00%) |
|
|
|
1 (10.00%) |
|
2.56 |
RM |
2019(46) |
Konadu DG |
Ghana |
332 |
74 (22.29%) |
|
67(90.54%) |
3(4.05%) |
|
|
4 (5.41%) |
|
2.41 |
RM |
2017(47) |
Gaydos CA |
America |
1118 |
289 (25.85%) |
|
195 (67.47%) |
64 (22.15%) |
|
|
7 (2.42%) |
23 (7.96%) |
4.97 |
RM |
2017(7) |
Wand HX |
Shanghai |
4036 |
1415 (35.06%) |
|
606 (42.83%) |
471(33.27%) |
|
|
|
|
1.50 |
RM |
2016(10) |
Byun SW |
Korea |
108 |
10 (9.26%) |
|
|
|
|
|
|
|
1.12 |
NAATs |
2016(48) |
Wang ZL |
Chongqing |
830 |
184 (22.17%) |
101 (54.90%) |
|
|
48 (26.10%) |
15 (8.20%) |
|
20 (10.80%) |
1.20 |
RM |
2013(49) |
Jahic M |
Sapna |
96 |
30 (31.30%) |
8 (26.70%) |
|
|
13 (43.30%) |
9 (30.00%) |
|
|
0.00 |
RM |
2013(9) |
Fan A |
Tianjin |
657 |
170 (25.88%) |
31 (18.24%) |
62
(36.47%) |
18 (10.59%) |
32(18.82%) |
21(12.35%) |
1 (0.58%) |
5
(2.94%) |
2.28 |
RM |
2012(50) |
Bohbot JM |
France |
118 |
38 (32.20%) |
|
|
|
|
|
|
|
0.00 |
Unspecified |
2011(2) |
Rivers CA |
Birmingham |
338 |
15 (4.44%) |
|
15(100.00%) |
|
|
|
|
|
2.27 |
RM |
2011(6) |
Gondo F |
Brazil |
112 |
7 (6.30%) |
|
7 (100.00%) |
|
|
|
|
|
1.30 |
RM |