| Literature DB >> 31807310 |
D Geelhand de Merxem1, J N Siewe Fodjo1, S Menon1, A Hotterbeekx1, R Colebunders1.
Abstract
BACKGROUND: Until recently, nodding syndrome (NS) was considered as a mysterious disease of unknown etiology. A link between onchocerciasis and epilepsy was suspected for a long time. However, onchocerciasis was not considered as the cause of NS because NS was believed to occur only in onchocerciasis-endemic regions in Uganda, South Sudan, and Tanzania. In October 2015, with funding from the European Research Council, the NSETHIO group launched a trans-disciplinary, multi-country research project to identify the cause of NS and to study the link between onchocerciasis and epilepsy.Entities:
Keywords: Epilepsy; etiology; nodding syndrome; onchocerciasis; prevalence
Year: 2019 PMID: 31807310 PMCID: PMC6880249 DOI: 10.1017/gmh.2019.24
Source DB: PubMed Journal: Glob Ment Health (Camb) ISSN: 2054-4251
Summary of epilepsy prevalence studies with Ov16 seroprevalence by the NSETHIO project
| Study sites | Population surveyed | Number of PWE (%) | Age of PWE (year): Median (IQR) | Year CDTI started | Ov16 prevalence in children (%) |
|---|---|---|---|---|---|
| Mbam Valley, Cameroon (Siewe Fodjo | 1321 | 61 (4.6) | 24 (19.5–29.5) | 1998 | 46.9 |
| Sanaga Valley, Cameroon (Siewe Fodjo | 204 | 16 (7.8) | 28 (22.25–36.75) | 1998 | 52 |
| Mbam Valley, Cameroon (Boullé | 2286 | 81 (3.5) | 24 (20–32) | 1998 | 48.9 |
| Mahenge sub-urban villages, Tanzania (Mmbando | 2618 | 39 (1.5) | 26.5 (18.9–36.7) | 1997 | 3.4 |
| Mahenge rural villages, Tanzania (Mmbando | 2499 | 88 (3.5) | 25.9 (20.6–35.5) | 1997 | 38.4 |
| Imo river basin, Nigeria (Siewe Fodjo | 843 | 0.5 | 18 (17.5–24.8) | 1994 | 0 |
| Logo health zone, DRC (Lenaerts | 1389 | 64 (4.6) | 17 (13–28) | Never | 4.3 |
| Wela, Aketi health zone, (Levick | 570 | 39 (6.8) | 18 (13.2–23.8) | 2003 | 80.3 |
| Makoko, Aketi health zone, DRC (Levick | 367 | 31 (8.4) | 18 (13.2–23.8) | 2003 | 46.2 |
Fig. 1.Correlation plot of epilepsy prevalence and Ov16 seropositivity rate.
Age distribution of PWE in pre- and post-intervention studies
| Study sites | Age groups | % PWE during baseline survey | % PWE during post-intervention survey | |
|---|---|---|---|---|
| Cameroon (Mbam) 1991 | 0–9 | 9.5 | 1.2 | <0.001 |
| 10–19 | 58.3 | 22.2 | ||
| 20–29 | 25.0 | 42.0 | ||
| ⩾30 | 7.1 | 34.6 | ||
| Cameroon (Bilomo) 1998 | 0–9 | 3.2 | 11.6 | <0.0001 |
| 10–19 | 60.2 | 19.7 | ||
| 20–29 | 30.1 | 47.5 | ||
| 30–39 | 6.5 | 24.6 | ||
| ⩾40 | 0 | 6.6 | ||
| Uganda (Kitgum and Pader) 2012 | 0–9 | 16.7 | 6.1 | <0.0001 |
| 10–19 | 76.0 | 55.1 | ||
| 20–29 | 2.1 | 34.7 | ||
| 30–39 | 2.1 | 2.0 | ||
| ⩾40 | 3.1 | 2.0 |