| Literature DB >> 27760144 |
Emmanuel Nakouné1, Basile Kamgang1,2, Nicolas Berthet3, Alexandre Manirakiza1, Mirdad Kazanji1,4.
Abstract
BACKGROUND: Rift Valley fever virus (RVFV) causes a viral zoonosis, with discontinuous epizootics and sporadic epidemics, essentially in East Africa. Infection with this virus causes severe illness and abortion in sheep, goats, and cattle as well as other domestic animals. Humans can also be exposed through close contact with infectious tissues or by bites from infected mosquitoes, primarily of the Aedes and Culex genuses. Although the cycle of RVFV infection in savannah regions is well documented, its distribution in forest areas in central Africa has been poorly investigated. METHODOLOGY/PRINCIPALEntities:
Mesh:
Substances:
Year: 2016 PMID: 27760144 PMCID: PMC5070846 DOI: 10.1371/journal.pntd.0005082
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Origin of animals and sampling sites.
Multivariate analysis of risk factors for RVF virus seropositivity in animals.
| No. | Positive IgM | Positive IgG | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| No. | % | Multivariate analysis | No. | % | Multivariate analysis | ||||||
| OR | 95% CI | OR | 95% CI | ||||||||
| Species | |||||||||||
| Cattle | 727 | 8 | 1.1 | 0.002 | Reference | 57 | 7.8 | 0.003 | Reference | ||
| Goat | 219 | 3 | 1.4 | 0.3 | 0.0–2.2 | 11 | 5.0 | 0.8 | 0.4–1.7 | ||
| Sheep | 325 | 14 | 4.3 | 0.9 | 0.2–4.7 | 42 | 12.9 | 1.8 | 1.1–3.0 | ||
| Sex | |||||||||||
| Male | 551 | 6 | 1.1 | 0.07 | - | 39 | 7.1 | 0.204 | - | ||
| Female | 719 | 19 | 2.6 | - | 71 | 10.0 | - | ||||
| Age | |||||||||||
| Juvenile | 273 | 3 | 1.1 | 0.36 | - | 14 | 5.1 | 0.019 | - | ||
| Adult | 998 | 22 | 2.2 | - | 96 | 9.6 | - | ||||
| Origin | |||||||||||
| Ndangala | 69 | 6 | 8.7 | < 0.0001 | Reference | 0 | 0.0 | < 0.0001 | Reference | ||
| Ngawi | 119 | 9 | 7.6 | 0.7 | 0.2–2.4 | 22 | 18.5 | 0.5 | 0.8–2.8 | ||
| Cattle market | 1083 | 10 | 2.0 | 0.1 | 0.0–0.5 | 88 | 8.1 | N/A | |||
| Season | |||||||||||
| Rainy | 732 | 25 | 3.4 | NA | 88 | 12.0 | < 0.001 | Reference | |||
| Dry | 539 | 0 | 0.0 | < 0.001 | NA | 22 | 2.1 | 0.3 | 0.1–0.5 | ||
NA, not applicable; OR, odd ratio; CI, confidence interval; IgM, Immunoglobulin M; IgG, Immunoglobulin
Serological results for RVFV by species and season in the CAR.
| No. | Positive IgM | Positive IgG | |||||
|---|---|---|---|---|---|---|---|
| No. | % | No. | % | ||||
| Species | |||||||
| Human | 335 | 0 | 0.0 | 56 | 16.7 | ||
| Cattle | 727 | 8 | 1.1 | 0.002 | 57 | 7.8 | 0.003 |
| Goat | 219 | 3 | 1.4 | 11 | 5.0 | ||
| Sheep | 325 | 14 | 4.3 | 42 | 12.9 | ||
| Season | |||||||
| Dry | 539 | 0 | 0.0 | <0.001 | 22 | 2.1 | <0.001 |
| Rainy | 732 | 25 | 3.4 | 88 | 12.0 | ||
IgM, Immunoglobulin M; IgG, Immunoglobulin G; No., number positive
*For animals only
Prevalence of RVFV in ruminants.
| No. | Positive IgM | Positive IgG | |||||
|---|---|---|---|---|---|---|---|
| No. | % | No. | % | ||||
| Sex | |||||||
| Male | 551 | 6 | 1.0 | 0.07 | 39 | 7.1 | 0.09 |
| Female | 719 | 19 | 2.6 | 71 | 10.0 | ||
| Age | |||||||
| Juvenile | 273 | 3 | 1.1 | 0.36 | 14 | 5.1 | 0.03 |
| Adult | 998 | 22 | 2.2 | 96 | 9.6 | ||
| Origin | |||||||
| Ndangala | 69 | 6 | 8.7 | 0.001 | 0 | 0 | 0.001 |
| Gawi | 119 | 9 | 7.6 | 22 | 18.5 | ||
| Cattle market | 1083 | 10 | 2.0 | 88 | 8.1 | ||
IgM, Immunoglobulin M; IgG, Immunoglobulin G
Prevalence of RVFV in people at risk.
| Positive IgG | ||||
|---|---|---|---|---|
| Characteristic | No. | No. | % | |
| Sex | ||||
| Male | 287 | 51 | 17.8 | 0.29 |
| Female | 48 | 5 | 10.4 | |
| Age (years) | ||||
| < 15 | 23 | 0 | 0.0 | 0.04 |
| 15–24 | 39 | 4 | 10.4 | |
| 25–34 | 90 | 18 | 20.0 | |
| 35–44 | 88 | 21 | 23.9 | |
| > 44 | 95 | 13 | 13.7 | |
| Trade | ||||
| Veterinarian | 28 | 3 | 10.7 | 0.72 |
| Slaughterhouse worker | 41 | 5 | 12.2 | |
| Butcher | 41 | 9 | 22.0 | |
| Breeder | 77 | 10 | 13.0 | |
IgG, Immunoglobulin G; N, number positive
* Differences between groups are due to the missing data
Fig 2Phylogenetic tree of selected RVFV segments: (A) small (S), (B) medium (M) and (C) large (L).
Analysis at nucleic acid level with sequences available in GenBank. The tree was generated by the neighbor-joining method with Geneious software for Mac (Geneious version 6.1 created by Biomatters) by the boostrapping approach with 1000 replicates. Values are showed as percentages.