Adaptation of a malaria surveillance system for use in a visceral leishmaniasis elimination programme

Geraldine Foster; Sophie Dunkley; Rinki Deb; Edward Thomsen; Marlize Coleman; A. C. Dhariwal; R. K. Das Gupta; Sridhar Srikantiah; Pradeep Das; Michael Coleman

doi:10.1093/inthealth/ihx018

Adaptation of a malaria surveillance system for use in a visceral leishmaniasis elimination programme

Geraldine Foster, Sophie Dunkley, Rinki Deb, Edward Thomsen, Marlize Coleman, A. C. Dhariwal, R. K. Das Gupta, Sridhar Srikantiah, Pradeep Das, Michael Coleman

Research output: Contribution to journal › Article › peer-review

Abstract

Background

Successful public practice relies on generation and use of high-quality data. A data surveillance system (the Disease Data Management System [DDMS]) in use for malaria was adapted for use in the Indian visceral leishmaniasis elimination programme.

Methods

A situational analysis identified the data flows in current use. Taxonomic trees for the vector of visceral leishmaniasis in India, Phlebotomus argentipes, were incorporated into the DDMS to allow entry of quality assurance and insecticide susceptibility data. A new quality assurance module was created to collate the concentration of DDT that was applied to walls during the indoor residual spraying (IRS) vector control programme.

Results

The DDMS was implemented in Bihar State and used to collate and manage data from sentinel sites in eight districts. Quality assurance data showed that DDT was under-applied to walls during IRS; this, combined with insecticide susceptibility data showing widespread vector resistance to DDT prompted a national policy change to using compression pumps and alpha-cypermethrin insecticide for IRS.

Conclusions

The adapted DDMS centralises programmatic data and enhances evidence-based decision making and active policy change. Moving forward, further modules of the system will be implemented, allowing extended data capture and streamlined transmission of key information to decision makers.

Original language	English
Article number	ihx018
Pages (from-to)	195-201
Number of pages	7
Journal	International Health
Volume	9
Issue number	3
DOIs	https://doi.org/10.1093/inthealth/ihx018
Publication status	Published - 3 Jun 2017

Keywords

India
Quality assurance
Surveillance
Vector control
Visceral leishmaniasis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/inthealth/ihx018Licence: CC BY-NC

Int Health 9 3 195-201 2017Final published version, 240 KBLicence: CC BY-NC

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title = "Adaptation of a malaria surveillance system for use in a visceral leishmaniasis elimination programme",

abstract = "BackgroundSuccessful public practice relies on generation and use of high-quality data. A data surveillance system (the Disease Data Management System [DDMS]) in use for malaria was adapted for use in the Indian visceral leishmaniasis elimination programme.MethodsA situational analysis identified the data flows in current use. Taxonomic trees for the vector of visceral leishmaniasis in India, Phlebotomus argentipes, were incorporated into the DDMS to allow entry of quality assurance and insecticide susceptibility data. A new quality assurance module was created to collate the concentration of DDT that was applied to walls during the indoor residual spraying (IRS) vector control programme.ResultsThe DDMS was implemented in Bihar State and used to collate and manage data from sentinel sites in eight districts. Quality assurance data showed that DDT was under-applied to walls during IRS; this, combined with insecticide susceptibility data showing widespread vector resistance to DDT prompted a national policy change to using compression pumps and alpha-cypermethrin insecticide for IRS.ConclusionsThe adapted DDMS centralises programmatic data and enhances evidence-based decision making and active policy change. Moving forward, further modules of the system will be implemented, allowing extended data capture and streamlined transmission of key information to decision makers.",

keywords = "India, Quality assurance, Surveillance, Vector control, Visceral leishmaniasis",

author = "Geraldine Foster and Sophie Dunkley and Rinki Deb and Edward Thomsen and Marlize Coleman and Dhariwal, \{A. C.\} and \{Das Gupta\}, \{R. K.\} and Sridhar Srikantiah and Pradeep Das and Michael Coleman",

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doi = "10.1093/inthealth/ihx018",

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T1 - Adaptation of a malaria surveillance system for use in a visceral leishmaniasis elimination programme

AU - Foster, Geraldine

AU - Dunkley, Sophie

AU - Deb, Rinki

AU - Thomsen, Edward

AU - Coleman, Marlize

AU - Dhariwal, A. C.

AU - Das Gupta, R. K.

AU - Srikantiah, Sridhar

AU - Das, Pradeep

AU - Coleman, Michael

PY - 2017/6/3

Y1 - 2017/6/3

N2 - BackgroundSuccessful public practice relies on generation and use of high-quality data. A data surveillance system (the Disease Data Management System [DDMS]) in use for malaria was adapted for use in the Indian visceral leishmaniasis elimination programme.MethodsA situational analysis identified the data flows in current use. Taxonomic trees for the vector of visceral leishmaniasis in India, Phlebotomus argentipes, were incorporated into the DDMS to allow entry of quality assurance and insecticide susceptibility data. A new quality assurance module was created to collate the concentration of DDT that was applied to walls during the indoor residual spraying (IRS) vector control programme.ResultsThe DDMS was implemented in Bihar State and used to collate and manage data from sentinel sites in eight districts. Quality assurance data showed that DDT was under-applied to walls during IRS; this, combined with insecticide susceptibility data showing widespread vector resistance to DDT prompted a national policy change to using compression pumps and alpha-cypermethrin insecticide for IRS.ConclusionsThe adapted DDMS centralises programmatic data and enhances evidence-based decision making and active policy change. Moving forward, further modules of the system will be implemented, allowing extended data capture and streamlined transmission of key information to decision makers.

AB - BackgroundSuccessful public practice relies on generation and use of high-quality data. A data surveillance system (the Disease Data Management System [DDMS]) in use for malaria was adapted for use in the Indian visceral leishmaniasis elimination programme.MethodsA situational analysis identified the data flows in current use. Taxonomic trees for the vector of visceral leishmaniasis in India, Phlebotomus argentipes, were incorporated into the DDMS to allow entry of quality assurance and insecticide susceptibility data. A new quality assurance module was created to collate the concentration of DDT that was applied to walls during the indoor residual spraying (IRS) vector control programme.ResultsThe DDMS was implemented in Bihar State and used to collate and manage data from sentinel sites in eight districts. Quality assurance data showed that DDT was under-applied to walls during IRS; this, combined with insecticide susceptibility data showing widespread vector resistance to DDT prompted a national policy change to using compression pumps and alpha-cypermethrin insecticide for IRS.ConclusionsThe adapted DDMS centralises programmatic data and enhances evidence-based decision making and active policy change. Moving forward, further modules of the system will be implemented, allowing extended data capture and streamlined transmission of key information to decision makers.

KW - India

KW - Quality assurance

KW - Surveillance

KW - Vector control

KW - Visceral leishmaniasis

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DO - 10.1093/inthealth/ihx018

M3 - Article

SN - 1876-3413

VL - 9

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JO - International Health

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M1 - ihx018

ER -

Adaptation of a malaria surveillance system for use in a visceral leishmaniasis elimination programme

Abstract

Keywords

UN SDGs

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