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Related Concept Videos

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

180
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
180
Pharmacovigilance01:19

Pharmacovigilance

989
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
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Related Experiment Video

Updated: Sep 10, 2025

Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors
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Use of Routine Health Data to Monitor Malaria Intervention Effectiveness: A Scoping Review.

Richard Reithinger1, Donal Bisanzio1,2, Anya Cushnie3

  • 1Country Health Information System and Data Use Program, RTI International, Washington, DC, USA.

Tropical Medicine & International Health : TM & IH
|August 25, 2025
PubMed
Summary
This summary is machine-generated.

Routine health data can effectively track malaria interventions. This scoping review highlights analytical methods using health management information systems to assess intervention impact and guide national malaria control strategies.

Keywords:
effectivenesshealth informationinterventionmalariareviewroutine

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Malaria interventions have significantly reduced disease burden globally.
  • Traditional effectiveness assessments rely on studies, surveys, and modeling.
  • Routine health data offers a complementary and alternative data source.

Purpose of the Study:

  • To describe analytical approaches for estimating malaria intervention effectiveness.
  • To explore the use of routine health management information systems (HMIS) data.

Main Methods:

  • Scoping review of PubMed literature.
  • Search terms included 'malaria', 'intervention', 'effect*', 'impact', 'system', 'surveillance'.
  • Inclusion limited to studies from the past decade with robust HMIS data.

Main Results:

  • 49 studies met inclusion criteria from 957 initial records.
  • Studies varied by geography, outcomes, populations, interventions, and data platforms.
  • A range of modeling and non-modeling analytical approaches were identified.

Conclusions:

  • Routine HMIS data is a viable resource for regularly assessing malaria intervention effectiveness.
  • This regular assessment is crucial for ensuring interventions meet national strategic goals.
  • Utilizing routine data supports ongoing malaria control program optimization.