| Literature DB >> 29324858 |
Kebede Deribe1,2, Amuam Andrew Beng3,4, Jorge Cano5, Abdel Jelil Njouendo3,4, Jerome Fru-Cho3,4, Abong Raphael Awah3,4, Mathias Esum Eyong3,4, Patrick W Chounna Ndongmo3,4, Emanuele Giorgi5,6, David M Pigott7, Nick Golding8,9, Rachel L Pullan5, Abdisalan M Noor10,11, Fikre Enquselassie2, Christopher J L Murray7, Simon J Brooker12, Simon I Hay7,13, Peter Enyong4, Melanie J Newport1, Samuel Wanji3,4, Gail Davey1.
Abstract
BACKGROUND: Podoconiosis is a non-filarial elephantiasis, which causes massive swelling of the lower legs. It was identified as a neglected tropical disease by WHO in 2011. Understanding of the geographical distribution of the disease is incomplete. As part of a global mapping of podoconiosis, this study was conducted in Cameroon to map the distribution of the disease. This mapping work will help to generate data on the geographical distribution of podoconiosis in Cameroon and contribute to the global atlas of podoconiosis.Entities:
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Year: 2018 PMID: 29324858 PMCID: PMC5764238 DOI: 10.1371/journal.pntd.0006126
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Map of Cameroon, showing estimated environmental suitability for podoconiosis by region.
A)The map was developed considering the association of a suite of environmental drivers identified in a previous study in Ethiopia [6]: annual mean precipitation, elevation, enhanced vegetation index (EVI), population density, slope, distance from water body, silt content and clay content. This figure shows the estimated environmental suitability for podoconiosis graded in three levels: high, moderate, and low. B) Districts were classified as having low (<0.5), medium (0.5–0.69) or high (≥0.7) probability of occurrence of podoconiosis based on a suite of environmental factors which have been shown to be associated with the occurrence and distribution of podoconiosis in Ethiopia[6].
Distribution of health districts by likelihood of podoconiosis occurrence.
| Environmental suitability of podoconiosis | ||||
|---|---|---|---|---|
| Region | High | Medium | Low | Total |
| Adamawa | 0 | 6 | 3 | 9 |
| Central | 17 | 5 | 8 | 30 |
| East | 0 | 0 | 14 | 14 |
| Extreme North | 3 | 3 | 24 | 30 |
| Littoral | 6 | 5 | 13 | 24 |
| North | 0 | 4 | 11 | 15 |
| North West | 15 | 4 | 0 | 19 |
| West | 20 | 0 | 0 | 20 |
| South West | 12 | 3 | 3 | 18 |
| South | 0 | 1 | 9 | 10 |
Fig 2Flow-charts of the different tests used for the mapping of podoconiosis.
Prevalence of lymphedema and podoconiosis disaggregated by region, age and sex.
| Region | Total surveyed | Number of lymphedema cases | Prevalence (%) | Podoconiosis cases | Prevalence |
|---|---|---|---|---|---|
| Adamawa | 320 | 0 | 0 | 0 | 0 |
| Central | 1,932 | 9 | 0.5 | 4 | 0.2 |
| East | 1,195 | 7 | 0.6 | 4 | 0.3 |
| Extreme North | 803 | 10 | 1.2 | 5 | 0.6 |
| Littoral | 1,228 | 6 | 0.5 | 4 | 0.3 |
| North | 692 | 12 | 1.7 | 7 | 1.0 |
| North West | 1,113 | 26 | 2.3 | 19 | 1.7 |
| West | 1,323 | 7 | 0.5 | 5 | 0.4 |
| South West | 1,137 | 3 | 0.3 | 3 | 0.3 |
| South | 435 | 3 | 0.7 | 1 | 0.2 |
| Total | 10,178 | 83 | 0.8 | 52 | 0.5 |
| Sex | |||||
| Male | 4,350 | 43 | 1.0 | 29 | 0.7 |
| Female | 5,828 | 40 | 0.7 | 23 | 0.4 |
| Age | |||||
| 15–24 | 2,839 | 7 | 0.2 | 4 | 0.1 |
| 25–34 | 2,535 | 12 | 0.5 | 9 | 0.4 |
| 35–44 | 2,012 | 8 | 0.4 | 8 | 0.4 |
| 45–54 | 1,266 | 15 | 1.2 | 11 | 0.9 |
| 55–64 | 735 | 13 | 1.8 | 8 | 1.1 |
| 65–74 | 506 | 16 | 3.2 | 6 | 1.2 |
| 75–84 | 178 | 11 | 6.2 | 6 | 3.4 |
| > = 85 | 55 | 1 | 1.8 | 0 | 0.0 |
Fig 3Geographical distribution of survey sites and lymphedema prevalence.
Test results.
| DBS qPCR Night | Negative | Positive |
|---|---|---|
| | 76 | 7 |
| | 76 | 7 |
| | 83 | 0 |
| MF Night | ||
| | 74 | 5 |
| | 74 | 5 |
| | 79 | 0 |
| MF day | ||
| | 79 | 4 |
| | 73 | 10 |
| | 83 | 0 |
| RDT-FTS | 78 | 2 |
| RDT- Wb123 | 81 | 0 |
* One test was invalid
Fig 4Clinical algorithm for podoconiosis diagnosis.
The diagnosis of podoconiosis in this study was conducted using clinical history, physical examination and disease-specific tests. The flow chart shows the results of the clinical examination and test.
Fig 5Geographical distribution of survey sites and podoconiosis prevalence.
Characteristics of people with podoconiosis.
| Number | Percent | |
|---|---|---|
| Sex | ||
| Male | 28 | 53.8 |
| Female | 24 | 46.1 |
| Duration of podoconiosis Mean (SD) | 39.4 (±19.8) | |
| Mean age at start of shoe wearing (SD) | 7.4 (±5.2) | |
| Disease stage | ||
| Stage 1 | 5 | 9.6 |
| Stage 2 | 18 | 34.6 |
| Stage 3 | 10 | 19.2 |
| Stage 4 | 7 | 13.5 |
| Stage 5 | 3 | 5.8 |
| Education | ||
| No formal education | 25 | 48.1 |
| Primary | 15 | 28.8 |
| Secondary | 11 | 21.2 |
| Marital status | ||
| Single | 11 | 21.2 |
| Married | 30 | 57.7 |
| Divorced | 3 | 5.8 |
| Widowed | 8 | 15.4 |
| Family history of leg swelling | ||
| No | 41 | 78.8 |
| Yes | 11 | 21.2 |
| Shoe wearing during the interview | ||
| Yes | 48 | 92.3 |
| No | 4 | 7.7 |