Evidence map›Paper›PMID 41526930›Full record

ArticleMalaria journal2026

A bespoke, real-time surveillance system for malaria elimination in Cambodia: architecture, applications and impact.

Pengby Ngor, Huy Rekol, Siv Sovannaroth, Thyda Eng, Rith Ry, Kimleng Sok, Rattana Yoem, Vunsokserey Ou, Vanna Hem, Pumeoung Chang and 4 more

Abstract read
In one paragraph

Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Pengby NgorNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia. pengby.ngor@gmail.com.ORCID http://orcid.org/0009-0002-8790-379X
Huy RekolNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Siv SovannarothNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Thyda EngNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Rith RyNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Kimleng SokNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Rattana YoemNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Vunsokserey OuNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Vanna HemNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Pumeoung ChangNational Center for Parasitology, Entomology and Malaria Control, No 372, Preah Monivong, Corner Street 322, Phnom Penh, Cambodia.
Rady TryWHO Mekong Malaria Elimination Programme, Phnom Penh, Cambodia.
Pascal RingwaldWHO Mekong Malaria Elimination Programme, Phnom Penh, Cambodia.
Lisa J WhiteModel Health Ltd, Brixham, UK.
Richard J MaudeThe Open University, Milton Keynes, UK.

Funding

Bill and Melinda Gates Foundation OPP1193472_2018Wellcome TrustWellcome Trust, United Kingdom 220211/Z/20/Z
6 · The paper itself

Abstract

Cambodia has developed and deployed a comprehensive, real-time, case-based Malaria Information System (MIS) to support national malaria elimination goals. This locally built, user-centred digital platform integrates surveillance, diagnostics, treatment, logistics, entomology and operational monitoring into a single system accessible at all levels of the health system. Mobile and web-based applications enable village malaria workers and health facility staff to report cases and interventions in real time, even in offline settings. The system promotes decentralized decision-making through intuitive dashboards and customizable analytics, enhancing local ownership, accountability and responsiveness. It supports key strategies such as the 1-3-7 surveillance model, integrated drug efficacy surveillance and incidence-based stratification. Operational functionality and system sustainability is supported by MIS modules for device management, stock management, geolocation, training and quality assurance. Real-time analytics drive timely interventions and adaptive planning, while interoperability with regional and global databases facilitates cross-border coordination and external reporting. Challenges remain, such as limited technical support capacity and a need for predictive tools. However, the Cambodia MIS demonstrates that locally developed digital health systems can transform disease surveillance and accelerate elimination efforts when effectively integrated with community-based networks and supported by strong governance. This model provides valuable evidence for other countries aiming to transition from malaria control to elimination, while complying with elimination certification requirements, and preparing for the prevention of re-establishment of transmission once malaria elimination has been achieved.

Indexed as

Disease EradicationEpidemiological MonitoringMalariaCambodiaDashboard SystemsHumansCambodiaCase managementDigital healthEliminationMalariaMalaria information systemMobile healthReal-time dataSurveillanceVillage malaria workers

Identifiers

PMID41526930
PMCPMC12888552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.