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

Geographic information systems (GISs) with emerging technologies are being harnessed for studying spatial patterns in vector-borne diseases to reduce transmission. To implement effective vector control, increased knowledge on interactions of epidemiological and entomological malaria transmission determinants in the assessment of impact of interventions is critical. This requires availability of relevant spatial and attribute data to support malaria surveillance, monitoring, and evaluation. Monitoring the impact of vector control through a GIS-based decision support (DSS) has revealed spatial relative change in prevalence of infection and vector susceptibility to insecticides and has enabled measurement of spatial heterogeneity of trend or impact. The revealed trends and interrelationships have allowed the identification of areas with reduced parasitaemia and increased insecticide resistance thus demonstrating the impact of resistance on vector control. The GIS-based DSS provides opportunity for rational policy formulation and cost-effective utilization of limited resources for enhanced malaria vector control

The emergence of insecticide resistance in central Mozambique and potential threat to the successful indoor residual spraying malaria control programme.

BACKGROUND: Malaria vector control by indoor residual spraying was reinitiated in 2006 with DDT in Zambézia province, Mozambique. In 2007, these efforts were strengthened by the President's Malaria Initiative. This manuscript reports on the monitoring and evaluation of this programme as carried out by the Malaria Decision Support Project. METHODS: Mosquitoes were captured daily through a series of 114 window exit traps located at 19 sentinel sites, identified to species and analysed for sporozoites. Anopheles mosquitoes were collected resting indoors and tested for insecticide resistance following the standard WHO protocol. Annual cross sectional household parasite surveys were carried out to monitor the impact of the control programme on prevalence of Plasmodium falciparum in children aged 1 to 15 years. RESULTS: A total of 3,769 and 2,853 Anopheles gambiae s.l. and Anopheles funestus, respectively, were captured from window exit traps throughout the period. In 2010 resistance to the pyrethroids lambda-cyhalothrin and permethrin and the carbamate, bendiocarb was detected in An. funestus. In 2006, the sporozoite rate in An. gambiae s.s. was 4% and this reduced to 1% over 4 rounds of spraying. The sporozoite rate for An. funestus was also reduced from 2% to 0 by 2008. Of the 437 Anopheles arabiensis identified, none were infectious. Overall prevalence of P. falciparum in the sentinel sites fell from 60% to 32% between October 2006 and October 2008. CONCLUSION: Both An. gambiae s.s. and An. funestus were controlled effectively with the DDT-based IRS programme in Zambézia, reducing disease transmission and burden. However, the discovery of pyrethroid resistance in the province and Mozambique's policy change away from DDT to pyrethroids for IRS threatens the gains made here

Insecticide resistance and the future of malaria control in Zambia.

BACKGROUND: In line with the Global trend to improve malaria control efforts a major campaign of insecticide treated net distribution was initiated in 1999 and indoor residual spraying with DDT or pyrethroids was reintroduced in 2000 in Zambia. In 2006, these efforts were strengthened by the President's Malaria Initiative. This manuscript reports on the monitoring and evaluation of these activities and the potential impact of emerging insecticide resistance on disease transmission. METHODS: Mosquitoes were captured daily through a series of 108 window exit traps located at 18 sentinel sites. Specimens were identified to species and analyzed for sporozoites. Adult Anopheles mosquitoes were collected resting indoors and larva collected in breeding sites were reared to F1 and F0 generations in the lab and tested for insecticide resistance following the standard WHO susceptibility assay protocol. Annual cross sectional household parasite surveys were carried out to monitor the impact of the control programme on prevalence of Plasmodium falciparum in children aged 1 to 14 years. RESULTS: A total of 619 Anopheles gambiae s.l. and 228 Anopheles funestus s.l. were captured from window exit traps throughout the period, of which 203 were An. gambiae malaria vectors and 14 An. funestus s.s.. In 2010 resistance to DDT and the pyrethroids deltamethrin, lambda-cyhalothrin and permethrin was detected in both An. gambiae s.s. and An. funestus s.s.. No sporozoites were detected in either species. Prevalence of P. falciparum in the sentinel sites remained below 10% throughout the study period. CONCLUSION: Both An. gambiae s.s. and An. funestus s.s. were controlled effectively with the ITN and IRS programme in Zambia, maintaining a reduced disease transmission and burden. However, the discovery of DDT and pyrethroid resistance in the country threatens the sustainability of the vector control programme

WHO susceptibility test results on 1-3-d-old <i>An. funestus s.s</i> of 17 localities in Zambia.

<p>%  = percentage mortality.</p><p>_a = p>0.1</p><p>_b = p<0.001,</p><p>* =  1999 Unpublished baseline data collected by TDRC,</p>#<p> =  1999 Unpublished data collected by NMCP.</p

Detection of Leu-Phe (West) <i>kdr</i> in survivors populations of <i>An. gambiae s.s.</i> tested for DDT and pyrethroid resistance.

<p>Detection of Leu-Phe (West) <i>kdr</i> in survivors populations of <i>An. gambiae s.s.</i> tested for DDT and pyrethroid resistance.</p

Comparison of insecticide resistance in <i>An. gambiae s.s.</i> and <i>An. funestus s.s.</i> from 1999 and 2010.

<p>Comparison of insecticide resistance in <i>An. gambiae s.s.</i> and <i>An. funestus s.s.</i> from 1999 and 2010.</p

Prevalence of infection with <i>Plasmodium falciparum</i> in children 1 to - 14 years of age, by sentinel site, observed during household surveys in 2008, 2009 and 2010 in Zambia.

<p>PI  =  Prevalence of infection,% 95% CI  =  95% Confidence interval <b>Bold  = </b> Change since 2008 was statistically significant.</p

WHO susceptibility test results on 1–3 dayold <i>An. gambiae s.s</i> of 17 localities in Zambia.

<p>%  = percentage mortality.</p><p>_a = p>0.1,</p><p>_b = p<0.001,</p><p>* =  1999 Unpublished baseline data collected by TDRC,</p>#<p> =  1999 Unpublished data collected by NMCP.</p

Vector Abundance, Infectivity by period of time and intervention type.

<p>Vector Abundance, Infectivity by period of time and intervention type.</p