Table 2.
Samples excluded from the analysis due to insufficient volume and the samples included in the analysis by site
| Cause of fever | Excluded due to low volume n (%) | Cambodia n (%) | Laos n (%) | Thailand n (%) | Total n (%) | Aetiological group (% of samples with single infection) |
|---|---|---|---|---|---|---|
| Dengue | 98 (25) | 81 (19) | 75 (14) | 157 (37) | 313 (23) | Viral, n = 555 (50) |
| Japanese encephalitis | 38 (10) | 26 (6) | 81 (16) | 5 (1) | 112 (8) | |
| Influenza/RSV | 23 (6) | 32 (8) | 98 (19) | NA | 130 (9) | |
| Rickettsial infectiona | 56 (15) | 36 (8) | 89 (17) | 92 (21) | 217 (16) | Rickettsia/Leptospira, n = 334 (30) |
| Leptospirosis | 39 (10) | 7 (2) | 70 (14) | 40 (9) | 117 (9) | |
| Bacteraemia | 46 (12) | 59 (14) | 20 (4) | 11 (3) | 91 (7) | Bacteraemia, n = 91 (8) |
| Malaria | 10 (3) | 6 (1) | 15 (3) | 104 (24) | 125 (9) | Malaria, n = 125 (12) |
| Multiple pathogens | 73 (19) | 179 (42) | 68 (13) | 21 (5) | 267 (19) | |
| Total | 383 | 426 (100) | 516 (100) | 433 (100) | 1372 (100) | 1105 |
These samples were a sub-set of the original study, to include only those with identified infections. The main focus of the analysis was on those samples with a single pathogen that was identified as the cause of illness (allowing for co-infection with malaria PCR positive microscopy/RDT negative cases which are not assumed to be the cause of fever)
aScrub or murine typhus