Digitized smart surveillance and micromanagement using information technology for malaria elimination in Mangaluru, India: an analysis of five-year post-digitization data
| Autor: | Animesh Jain, Manu Kumar, Arun Kumar, Naveen Kulal, B. Shantharam Baliga, Susanta Kumar Ghosh, Shrikala Baliga, B. G. Prakash Kumar, Naren Koduvattat |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Micromanagement
medicine.medical_specialty lcsh:Arctic medicine. Tropical medicine lcsh:RC955-962 030231 tropical medicine India Malaria elimination Information technology Smart surveillance lcsh:Infectious and parasitic diseases 03 medical and health sciences 0302 clinical medicine Environmental health parasitic diseases medicine Humans lcsh:RC109-216 030212 general & internal medicine Disease Eradication Data Management Digitization Data collection Mangaluru business.industry Public health Incidence (epidemiology) Methodology TAB medicine.disease GIS Malaria Mosquito control Infectious Diseases Vector (epidemiology) Population Surveillance Tropical medicine Parasitology Seasons business |
| Zdroj: | Malaria Journal Malaria Journal, Vol 20, Iss 1, Pp 1-14 (2021) |
| ISSN: | 1475-2875 |
| Popis: | Background Malaria control system (MCS), an Information technology (IT)-driven surveillance and monitoring intervention is being adopted for elimination of malaria in Mangaluru city, Karnataka, India since October 2015. This has facilitated ‘smart surveillance’ followed by required field response within a timeline. The system facilitated data collection of individual case, data driven mapping and strategies for malaria elimination programme. This paper aims to present the analysis of post-digitization data of 5 years, discuss the current operational functionalities of MCS and its impact on the malaria incidence. Methods IT system developed for robust malaria surveillance and field response is being continued in the sixth year. Protocol for surveillance control was followed as per the national programme guidelines mentioned in an earlier publication. Secondary data from the malaria control system was collated and analysed. Incidence of malaria, active surveillance, malariogenic conditions and its management, malariometric indices, shrinking malaria maps were also analysed. Results Smart surveillance and subsequent response for control was sustained and performance improved in five years with participation of all stakeholders. Overall malaria incidence significantly reduced by 83% at the end of 5 years when compared with year of digitization (DY) (p Conclusion MCS helped to micromanage control activities, such as robust reporting, incidence-centric active surveillance, early and complete treatment, documentation of full treatment of each malaria patient, targeted mosquito control measures in houses surrounding reported cases. The learnings and analytical output from the data helped to modify strategies for control of both disease and the vector, heralding the city into the elimination stage. |
| Databáze: | OpenAIRE |
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