| Literature DB >> 29907117 |
Louise A Kelly-Hope1, Janet Hemingway2, Mark J Taylor2, David H Molyneux2.
Abstract
In West and Central Africa, there is a need to establish the prevalence of Wuchereria bancrofti in areas that are co-endemic for Loa loa, in order to implement the appropriate strategies to scale-up interventions for the elimination of lymphatic filariasis (LF). Due to the risk of severe adverse events (SAEs) to ivermectin in individuals with high L. loa microfilaraemia, the current strategy recommended by the World Health Organization (WHO) is twice yearly mass drug administration (MDA) with albendazole, supplemented by vector control targeting the Anopheles vectors. Defining W. bancrofti prevalence in areas co-endemic with L. loa is complicated by the cross-reactivity of rapid diagnostic immunochromatographic card tests (ICT), widely used for LF mapping, in individuals with high L. loa microfilaraemia. This has probably resulted in the overestimation of LF prevalence, triggering the implementation of MDA strategies, which may be unnecessary and wasteful of the limited resources for elimination programme implementation. Here we review the literature and present historical evidence, which uniformly highlight low or no prevalence of W. bancrofti infection and/or clinical LF cases across five Central African countries, in more than 30 different geographical areas covering 280 individual sites and > 22,000 individuals tested within high risk L. loa areas. This highlights the very limited information available on LF prevalence in L. loa areas, and potentially has major policy implications, which could shift the focus towards revised mapping criteria to verify low or no W. bancrofti prevalence in high risk L. loa areas. In this situation, revising the current WHO strategy from MDA, to focus more on ensuring high and effective vector control, through insecticide treated/long-lasting impregnated bednets (ITNs/LLINs), integration of point-of-care test-and-treat options into health systems, and consolidating closer links with the malaria control programme may be a more effective and appropriate use of the limited resources and drug donations available for LF elimination.Entities:
Keywords: Africa; Chrysops; IVM; Integrated vector management; LF; Loa loa; Loiasis; Lymphatic filariasis; NTDs; Neglected tropical diseases; Onchocerciasis; Tropical eye worm; Vector control
Mesh:
Year: 2018 PMID: 29907117 PMCID: PMC6004093 DOI: 10.1186/s13071-018-2900-y
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 4.047
Fig. 1Maps of loiasis prevalence and study areas with low LF risk. a Loiasis prevalence. b Loiasis high risk and LF low risk
Summary of studies examining Wuchereria bancrofti human infection
| Country | Study yeara | Province/District | Diagnostic | Number of sites | Number sampled | Reference |
|---|---|---|---|---|---|---|
| Angola | 2015 | Bengo Province | Clinical | 29 | 2017 | [ |
| DRC | 2013 | Oriental Province | Mf | 30 | 2724 | [ |
| 1974a | Mayombe, Bas Congo Province | Mf | 32 | 2476 | [ | |
| Cameroon | 2018 | East, Central, South, Littoral | Clinical; Mf; Wb123; qPCR | 29 | 4698 (24)c | [ |
| 2017b | South, Central, South-east, North West, Far North | Wb123; qPCR | 50 | 5000 | [ | |
| 2016 | East, Central, South, Littoral | Mf | 31 | 14,577 (185)c | [ | |
| 2016 | Messok District, Haut-Nyong Department | qPCR | 8 | 1085 | [ | |
| 2013 | Lolodorf surrounds | Wb123; qPCR | 26 | 1812 | [ | |
| 2013 | East, North-west, South-west | Mf; Clinical | 42 | 2190 (24)c | [ | |
| 1990a | Goura, Badissa Nyamanga | Mf | 3 | 1324 | [ | |
| 1975 | Department Mifi | Mf; Clinical | 6 | 1004 | [ | |
| 1957a | Yoko Region | Mf | 1 | 50 | [ | |
| Total | 287 | 38,957 (22,399)d | ||||
aIndicates publication year, when study year is not stated
bThe exact numbers in the high risk Loa areas is unclear until publication i.e. the North, West, far West have minimal or no overlap with high risk areas, and therefore related numbers are likely not to count
cIndicates the number of individuals initially examined for clinical conditions or using ICT or FTS (with positive cases examined further using different diagnostic tests)
dIndicates total number of individuals examined (total number excluding ICT or FTS)