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Quantifying filariasis and malaria control activities in relation to lymphatic filariasis elimination: a multiple intervention score map (MISM) for Malawi
Author(s) -
Stanton Michelle C.,
Mkwanda Square,
Mzilahowa Themba,
Bockarie Moses J.,
KellyHope Louise A.
Publication year - 2014
Publication title -
tropical medicine and international health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 114
eISSN - 1365-3156
pISSN - 1360-2276
DOI - 10.1111/tmi.12266
Subject(s) - lymphatic filariasis , indoor residual spraying , malaria , psychological intervention , onchocerciasis , environmental health , filariasis , population , medicine , transmission (telecommunications) , geography , plasmodium falciparum , immunology , artemisinin , psychiatry , helminths , electrical engineering , engineering
Objective To quantify the geographical extent of filariasis and malaria control interventions impacting lymphatic filariasis ( LF ) in Malawi and to produce a multiple intervention score map ( MISM ) for prioritising surveillance and intervention strategies. Methods Interventions included mass drug administration ( MDA ) for LF and onchocerciasis, and bed nets and indoor residual spraying ( IRS ) for malaria. District and subdistrict‐level data were obtained from the Ministry of Health in Malawi, the Demographic and Health Survey ( DHS ) and President's Malaria Initiative reports. Single intervention scores were calculated for each variable based on population coverage thresholds, and these were combined in a weighted sum to form a multiple intervention score, which was then used to produce maps, that is MISM s. Districts were further classified into four groups based on the combination of their baseline LF prevalence and multiple intervention score. Results The district‐ and subdistrict‐level MISM s highlighted specific areas that have received high and low coverage of LF ‐impacting interventions. High coverage areas included the LF ‐onchocerciasis endemic areas in the southern region of the country and areas along the shores of Lake Malawi, where malaria vector control had been prioritised. Three districts with high baseline LF prevalence measures but low coverage of multiple interventions were identified and considered to be most at risk of ongoing transmission or re‐emergence. Conclusions These maps and district classifications will be used by LF programme managers to identify and target high‐risk areas that may not have received adequate LF ‐impacting interventions to interrupt the transmission of the disease.

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