Emmanuel Chanda 1 , Mulenga Musapa 2 , William Brogdon 3 , Janet - - PowerPoint PPT Presentation

Use of Data for Malaria Vector Control Decision-Making:

The Model of the Zambia Insecticide Resistance Management Technical Working Group

Emmanuel Chanda1, Mulenga Musapa2, William Brogdon3, Janet Hemingway4, Mulakwa Kamuliwo1, Peter Mumba2, Michael Coleman2,4

1Ministry of Health, National Malaria Control Centre,

Lusaka, Zambia, 2Zambia Integrated Systems Strengthening Programme, Lusaka, Zambia, 3Centres for Disease Control and Prevention, Atlanta.GA. USA,

4Liverpool School of Tropical Medicine. L3 5QA,

Pembroke Place. Liverpool, United Kingdom

15th November, 2012

Background

• Malaria is leading cause of morbidity and mortality
• Endemic throughout Zambia
• An. gambiae s.s, An. arabiensis & An. funestus
• WHO Global Strategic Framework for Integrated

Vector Management

• Global Plan for Insecticide Resistance Management

(GPIRM)

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Vector Control Measures

Indoor Residual Spraying Insecticide Treated Nets

1000000 2000000 3000000 4000000 5000000 6000000 7000000 8000000 2003 2004 2005 2006 2007 2008 2009 2010 2011 Population covered and structures sprayed Year of Implementation

IRS Coverage 2003 - 2011

# of housing structures sprayed Population protected

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Trends in Insecticide Resistance

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Multidisciplinary IRMTWG

TAC

• Academic and Research

– LSTM – MTC – CDC – TDRC – JHMRI

• Implementing partners

– ZISSP – WHO/NMCC/MoH

• Funders:

– USAID/ PMI

ZEIRMN

• Line ministries:

– Health,

• Provincial
• District

– Agriculture – Environment,

• Environmental regulatory body
• Entomological Society of

Zambia,

• Chemical Suppliers
• Pest Control Operators
• NGOs

TAC: Technical Advisory Committee ZEIRMN: Zambia Entomological and Insecticide Resistance Monitoring Network 5

Resistance Monitoring

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Policy Change

Insecticide used 2010/11 Insecticide used 2011/12

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Geocoding of Structures Earmarked for IRS

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Lessons Learned

• IRTWG is useful model for addressing challenges of IRM

– NMCC coordination of group critical – Engagement of broad set of stakeholders increases buy-in – Having engaged in process, funders more ready to deal with increased costs associated with policy change

• It is critical to have quality, localized data

– Investment in spatial and temporal mapping important – Insecticide resistance mapping facilitates rational IRS policy change

• Engagement of the NMCC staff in entomological

monitoring important

– Facilitates ownership, policy change

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Challenges, Conclusion & Way Forward

Challenges

• Funding implications
• Skepticism surrounding scientific findings
• Lack of local financial support

Conclusion

• Need for more funding—external, internal
• Ongoing investment needed in localized data collection/sharing
• Significance of coordinated response among stakeholders to share data for

policy change

Way Forward

• Strengthen coordination of IRMTWG
• Routine resistance data collection
• Assess gene flow and underlying mechanisms, impact on efficacy of

interventions

• Advocate for political will and financial commitment
• 3rd Workshop to be held on 26th November 2012 in Lusaka

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Thank You!

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