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Using antenatal care as a platform for malaria surveillance data collection: study protocol.
Julie R Gutman1, Julia Nanteza Mwesigwa2, Kyra Arnett3
1Malaria Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA. fff2@cdc.gov.
Malaria Journal
|March 18, 2023
Summary
Antenatal care (ANC1) testing can offer a cost-effective way to monitor malaria prevalence and intervention coverage. This study evaluates ANC-based surveillance as a tool for tracking monthly malaria trends and improving public health strategies.
Area of Science:
- Public Health
- Infectious Disease Epidemiology
- Health Systems Research
Background:
- Routine health information systems have limitations in timely malaria trend reporting.
- Community surveys for malaria prevalence are resource-intensive and lack geographic detail.
- Integrating malaria testing into the first antenatal care visit (ANC1) offers a potential for more timely and granular data.
Purpose of the Study:
- To assess the feasibility and utility of ANC1-based surveillance for monitoring malaria burden and intervention coverage.
- To validate ANC data against traditional household survey methods.
- To evaluate the representativeness and cost-effectiveness of ANC1 surveillance.
Main Methods:
- An observational, cross-sectional study across six malaria-endemic countries (Benin, Burkina Faso, Mozambique, Nigeria, Tanzania, Zambia).
- Pregnant women at ANC1 were tested for malaria and completed a questionnaire on intervention coverage and care-seeking.
- Correlations between ANC1 data and contemporaneous household survey data were analyzed.
Main Results:
- Malaria prevalence at ANC1 will be assessed at facility and district levels, stratified by gravidity.
- Monthly trends in ANC1 malaria prevalence will be reported.
- Correlations between ANC1 and household survey estimates for malaria prevalence, bed net use, and care-seeking will be evaluated.
Conclusions:
- ANC1-based surveillance shows potential for cost-effective, localized malaria monitoring.
- It can provide timely data on parasite prevalence and intervention coverage representative of the general population.
- Further evaluation will focus on operational feasibility, programmatic utility, and scalability.

