ArticleMalaria journal2017
Health information system strengthening and malaria elimination in Papua New Guinea.
Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- Baseline assessment of front-line health system capacity in vector-borne disease surveillance and response in Papua New Guinea.PLOS global public health · 2025Article
- Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Scoping Review.Journal of medical Internet research · 2024Article
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- Service availability and readiness of malaria surveillance information systems implementation at primary health centers in Indonesia.PloS one · 2023Article
- Stratification of malaria incidence in Papua New Guinea (2011-2019): Contribution towards a sub-national control policy.PLOS global public health · 2022Article
- The Potential of Digital Data Collection Tools for Long-lasting Insecticide-Treated Net Mass Campaigns in Nigeria: Formative Study.JMIR formative research · 2021Article
- Transforming the health information system using mobile and geographic information technologies, Papua New Guinea.Bulletin of the World Health Organization · 2021Article
- Leveraging phone-based mobile technology to improve data quality at health facilities in rural Malawi: a best practice project.Malaria journal · 2021Article
- Prevention of re-establishment of malaria: historical perspective and future prospects.Malaria journal · 2020Review
- Article
- Mapping a Plasmodium transmission spatial suitability index in Solomon Islands: a malaria monitoring and control tool.Malaria journal · 2018Article
- Towards effective outbreak detection: a qualitative study to identify factors affecting nurses' early warning surveillance practice in Solomon Islands.BMC health services research · 2018Article
- Article
- Mathematical modelling of the impact of expanding levels of malaria control interventions on Plasmodium vivax.Nature communications · 2018Article
- Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objective of the study was to describe an m-health initiative to strengthen malaria surveillance in a 184-health facility, multi-province, project aimed at strengthening the National Health Information System (NHIS) in a country with fragmented malaria surveillance, striving towards enhanced control, pre-elimination.
methodsA remote-loading mobile application and secure online platform for health professionals was created to interface with the new system (eNHIS). A case-based malaria testing register was developed and integrated geo-coded households, villages and health facilities. A malaria programme management dashboard was created, with village-level malaria mapping tools, and statistical algorithms to identify malaria outbreaks.
resultsSince its inception in 2015, 160,750 malaria testing records, including village of residence, have been reported to the eNHIS. These case-based, geo-coded malaria data are 100% complete, with a median data entry delay of 9 days from the date of testing. The system maps malaria to the village level in near real-time as well as the availability of treatment and diagnostics to health facility level. Data aggregation, analysis, outbreak detection, and reporting are automated.
conclusionsThe study demonstrates that using mobile technologies and GIS in the capture and reporting of NHIS data in Papua New Guinea provides timely, high quality, geo-coded, case-based malaria data required for malaria elimination. The health systems strengthening approach of integrating malaria information management into the eNHIS optimizes sustainability and provides enormous flexibility to cater for future malaria programme needs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.