Adaptation of a malaria surveillance system for use in a visceral leishmaniasis elimination programme
| Autor: | Michael Coleman, Pradeep Das, Sridhar Srikantiah, R. K. Das Gupta, Edward K. Thomsen, Marlize Coleman, A C Dhariwal, Geraldine M. Foster, Sophie Dunkley, Rinki M. Deb |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Health (social science) Data management 030231 tropical medicine Automatic identification and data capture Indoor residual spraying India Biology 03 medical and health sciences 0302 clinical medicine medicine Humans Disease Eradication Environmental planning Visceral leishmaniasis Surveillance business.industry Public Health Environmental and Occupational Health Original Articles General Medicine medicine.disease Quality assurance Vector control 6. Clean water Malaria 3. Good health Biotechnology 030104 developmental biology Population Surveillance Vector (epidemiology) Leishmaniasis Visceral business Situation analysis |
| Zdroj: | International Health |
| ISSN: | 1876-3413 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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