# Development and Application of Innovative Malaria Surveillance Data Streams and Tools in Three Transmission Settings in Zambia

> **NIH NIH U19** · JOHNS HOPKINS UNIVERSITY · 2024 · $346,112

## Abstract

ABSTRACT
Zambia, which spans the southern and central Africa region, contains the full continuum of malaria endemicity
(hypo-, meso-, and holoendemic), positioning it as an ideal environment for the development of enhanced
surveillance tools with broad applicability. Malaria control and elimination in Zambia requires optimizing
strategies for current and novel interventions, and the lessons learned will be applicable elsewhere in sub-
Saharan Africa with similar endemicities. The World Health Organization emphasizes the need to refocus on
reducing morbidity and mortality and identifying the optimal set of interventions for areas of hyper- and
holoendemic malaria. Increasing urbanization of human populations and the incursion of urban malaria vectors
into sub-Saharan Africa present an additional new threat, particularly in mesoendemic areas. In low-transmission
settings, subnational malaria elimination is challenging to achieve, verify, and sustain. Integrated surveillance
approaches linked bidirectionally to interventions and tailored to local contexts are required to inform and support
the implementation of existing and forthcoming interventions. We propose multiple approaches to quantifying
and characterizing malaria transmission by combining traditional and novel data sets using mathematical
modeling and machine learning-supported computational approaches. We will establish data streams and
operationalize surveillance platforms in Zambia that will enable the development and integration of measurement
and computational tools to transform malaria surveillance into a key intervention and address outstanding
scientific questions on the barriers to control and elimination in high, medium, and low transmission settings.
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## Key facts

- **NIH application ID:** 10837340
- **Project number:** 2U19AI089680-15
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Matthew Michael Ippolito
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $346,112
- **Award type:** 2
- **Project period:** 2010-07-01 → 2029-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10837340

## Citation

> US National Institutes of Health, RePORTER application 10837340, Development and Application of Innovative Malaria Surveillance Data Streams and Tools in Three Transmission Settings in Zambia (2U19AI089680-15). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10837340. Licensed CC0.

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