2017
DOI: 10.1186/s12936-016-1649-z
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Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia

Abstract: BackgroundDecreasing malaria transmission leads to increasing heterogeneity with increased risk in both hot spots (locations) and hot pops (certain demographics). In Southern Province, Zambia, reactive case detection has formed a part of malaria surveillance and elimination efforts since 2011. Various factors may be associated with finding malaria infections during case investigations, including the demographics of the incident case and environmental characteristics of the location of the incident case.Methods… Show more

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Cited by 18 publications
(44 citation statements)
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“…The results found herein suggest that there is vectoral capacity in the periphery to facilitate malaria transmission if malaria parasites are present or imported. Malaria control programmes aiming for elimination may be more successful when focusing on locations of human settlements where sufficient habitat enables malaria transmission [56].…”
Section: Transmission Trendsmentioning
confidence: 99%
“…The results found herein suggest that there is vectoral capacity in the periphery to facilitate malaria transmission if malaria parasites are present or imported. Malaria control programmes aiming for elimination may be more successful when focusing on locations of human settlements where sufficient habitat enables malaria transmission [56].…”
Section: Transmission Trendsmentioning
confidence: 99%
“…Environmental risk factors were associated with the probability of finding households with parasitemic residents using RCD as demonstrated in other studies in Zambia. 13 In the low transmission setting of Choma District, Zambia, identifying streams located near index households to guide and direct screening of other homes has the potential to improve RCD and affect transmission by identifying households with asymptomatic infections. These findings are in line with a previous study conducted within the same study area in 2008 where it was shown that households within 1.98 km from a third-order stream were 2.8 (95% CI: 1.2 -6.9) times more likely to have an RDT positive resident than those within 6.0 km from the same stream.…”
Section: Discussionmentioning
confidence: 99%
“…10,12 Running head: Improving efficiency of reactive case detection Residual transmission in "hot spots" is driven by many local environmental factors such as vegetation and availability of aquatic habitats that determine vector density and heterogeneity. 13 For example, Anopheles larval sites contract and cluster around permanent aquatic habitats during the dry season, and expand during the wet season. 14 Various topographical features can also predict incident cases.…”
Section: Introductionmentioning
confidence: 99%
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