Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia

Chanda, Emmanuel; Mukonka, Victor; Mthembu, David S; Kamuliwo, Mulakwa; Coetzer, Sarel; Shinondo, Cecilia J.

doi:10.1155/2012/363520

Cited by 11 publications

(12 citation statements)

References 38 publications

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“…Zambia's achievements in scaling-up interventions are distinctive as it has made tremendous strides over the past decade with very high coverage of vector control for malaria ( Chanda et al, 2013 ). In line with the global trends to improve efforts in malaria control Zambia has put in measures to mitigate malaria transmission including vector control using insecticide-treated mosquito nets (ITN) ( Chanda et al, 2012 ), which are distributed at antenatal and child clinics, equity programme and community mass distributions had reached over 60% at household level in 2008 with the aim of attaining 100% coverage ( Chanda et al, 2011 ). Between 2010 and 2012 over 7 million new long-lasting insecticidal nets (LLINs) were delivered with up to 94% of the population potentially protected from malaria infection.…”

Section: Introductionmentioning

confidence: 99%

Significant decline in lymphatic filariasis associated with nationwide scale-up of insecticide-treated nets in Zambia

Nsakashalo-Senkwe

Mwase

Chizema-Kawesha

et al. 2017

Parasite Epidemiology and Control

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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 mosquito 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 6.6; 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 0.2% (CI95 0.0; 0.3) to 76.1% (CI95 71.4; 80.7) respectively. The creation and comparison of two linear models demonstrated that the geographical 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. This putative synergy with vector control has helped to put Zambia on track to meet national and global goals of LF elimination by 2020.

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Section: Introductionmentioning

confidence: 99%

Significant decline in lymphatic filariasis associated with nationwide scale-up of insecticide-treated nets in Zambia

Nsakashalo-Senkwe

Mwase

Chizema-Kawesha

et al. 2017

Parasite Epidemiology and Control

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“…It is also important to assess the effectiveness of the system in supporting continuous surveillance, which in the elimination context requires integration of spatially and temporally explicit data for entomological and epidemiological outcome indicators. This allows for calculation of disease incidence, and assessment of reductions in vector exposure and malaria burden resulting from implemented control measures [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

Development and evaluation of a spatial decision support system for malaria elimination in Bhutan

Wangdi

Banwell

Gatton

et al. 2016

Malar J

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BackgroundBhutan has reduced its malaria incidence significantly in the last 5 years, and is aiming for malaria elimination by 2016. To assist with the management of the Bhutanese malaria elimination programme a spatial decision support system (SDSS) was developed. The current study aims to describe SDSS development and evaluate SDSS utility and acceptability through informant interviews.MethodsThe SDSS was developed based on the open-source Quantum geographical information system (QGIS) and piloted to support the distribution of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) in the two sub-districts of Samdrup Jongkhar District. It was subsequently used to support reactive case detection (RACD) in the two sub-districts of Samdrup Jongkhar and two additional sub-districts in Sarpang District. Interviews were conducted to ascertain perceptions on utility and acceptability of 11 informants using the SDSS, including programme and district managers, and field workers.ResultsA total of 1502 households with a population of 7165 were enumerated in the four sub-districts, and a total of 3491 LLINs were distributed with one LLIN per 1.7 persons. A total of 279 households representing 728 residents were involved with RACD. Informants considered that the SDSS was an improvement on previous methods for organizing LLIN distribution, IRS and RACD, and could be easily integrated into routine malaria and other vector-borne disease surveillance systems. Informants identified some challenges at the programme and field level, including the need for more skilled personnel to manage the SDSS, and more training to improve the effectiveness of SDSS implementation and use of hardware.ConclusionsThe SDSS was well accepted and informants expected its use to be extended to other malaria reporting districts and other vector-borne diseases. Challenges associated with efficient SDSS use included adequate skills and knowledge, access to training and support, and availability of hardware including computers and global positioning system receivers.

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“…For instance, GIS has been used to track malaria risk by overlaying disease prevalence with environmental factors and types of vectors. 9 , 10 Similarly, GIS has been used for predicting dengue fever 11 , 12 and schistosomiasis 13 risk. There are several, but fewer, documented uses of GIS for program implementation more generally (e.g., mapping existing service delivery locations, catchment areas, or geographic accessibility).…”

Section: Program Descriptionmentioning

confidence: 99%

Covering the Last Kilometer: Using GIS to Scale-Up Voluntary Medical Male Circumcision Services in Iringa and Njombe Regions, Tanzania

Mahler¹,

Searle²,

Plotkin³

et al. 2015

Glob Health Sci Pract

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Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia

Cited by 11 publications

References 38 publications

Significant decline in lymphatic filariasis associated with nationwide scale-up of insecticide-treated nets in Zambia

Significant decline in lymphatic filariasis associated with nationwide scale-up of insecticide-treated nets in Zambia

Development and evaluation of a spatial decision support system for malaria elimination in Bhutan

Covering the Last Kilometer: Using GIS to Scale-Up Voluntary Medical Male Circumcision Services in Iringa and Njombe Regions, Tanzania

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