02852nas a2200397 4500000000100000008004100001653001100042653002500053653001900078653000900097653003100106653003200137653001200169653002500181653001000206653000700216653000900223653001800232653001300250100002400263700001200287700002200299700001400321700001400335700001600349700001400365700001300379700001700392700001200409700001700421700001900438245012300457856003200580520182900612022001302441 2017 d10aZambia10aWuchereria bancrofti10aVector control10aNTDs10aNational Control Programme10aMonitoring and surveillance10aMalaria10aLymphatic filariasis10aLLINs10aLF10aITNs10aElephantiasis10aBed nets1 aNsakashalo-Senkwe M1 aMwase E1 aChizema-Kawesha E1 aMukonka V1 aSongolo P1 aMasaninga F1 aRebollo M1 aThomas B1 aBockarie M J1 aBetts H1 aStothard J R1 aKelly-Hope L A00aSignificant decline in lymphatic filariasis associated with nationwide scale-up of insecticide treated nets in Zambia. uhttp://tinyurl.com/y7efmb553 a

Lymphatic filariasis (LF) is a mosquito-borne disease, broadly endemic in Zambia, and is targeted for elimination by mass drug administration (MDA) of albendazole and diethylcarbamazine citrate (DEC) to at-risk populations. Anopheline mosquitoes are primary vectors of LF in Africa, and it is possible that the significant scale-up of malaria vector control over the past decade may have also impacted LF transmission, and contributed to a decrease in prevalence in Zambia. We therefore aimed to examine the putative association between decreasing LF prevalence and increasing coverage of insecticide treated nets (ITNs) for malaria vector control, by comparing LF mapping data collected between 2003–2005 and 2009–2011 to LF sentinel site prevalence data collected between 2012 and 2014, before any anti-LF MDA was started. The coverage of ITNs for malaria was quantified and compared for each site in relation to the dynamics of LF. We found a significant decrease in LF prevalence from the years 2003–2005 (11.5% CI95 6.5; 16.4) to 2012–2014 (0.6% CI95 0.03; 1.1); at the same time, there was a significant scale-up of ITNs across the country from 0.1% (CI95 0.0; 0.4) to 76.1% (CI95 71.4; 80.7) respectively. The creation and comparison of two linear models demonstrated that the geographic and temporal variation in ITN coverage was a better predictor of LF prevalence than year alone. Whilst a causal relationship between LF prevalence and ITN coverage cannot be proved, we propose that the scale-up of ITNs has helped to control Anopheles mosquito populations, which have in turn impacted on LF transmission significantly before the scale-up of MDA. Thus, helping to put Zambia on track to meet national and global goals of LF elimination by 2020.

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