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Malar J. 2017 Aug 7;16(1):317. doi: 10.1186/s12936-017-1962-1.

Estimation of malaria parasite reservoir coverage using reactive case detection and active community fever screening from census data with rapid diagnostic tests in southern Zambia: a re-sampling approach.

Author information

1
Center for Applied Malaria Research and Evaluation (CAMRE), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, United States. jyukich@tulane.edu.
2
Global Health Group, University of California San Francisco, San Francisco, CA, United States.
3
Sensorstar Inc., Ellicott City, MD, United States.
4
Center for Applied Malaria Research and Evaluation (CAMRE), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, United States.
5
National Malaria Control Centre, Ministry of Health, Lusaka, Zambia.
6
Malaria Control and Elimination Partnership in Africa (MACEPA), PATH, Lusaka, Zambia.
7
Swiss Tropical and Public Health Institute, and University of Basel, Basel, CH, Switzerland.

Abstract

BACKGROUND AND METHODS:

In areas where malaria transmission has been suppressed by vector control interventions many malaria control and elimination programmes are actively seeking new interventions to further reduce malaria prevalence, incidence and transmission. Malaria infection prevalence and incidence has been shown to cluster geographically, especially at lower transmission levels, and as such a reactive strategy is frequently used, by which index cases presenting to a passive surveillance system are used to target small areas for testing and treatment, reactive case detection (RCD), or focal drug administration (fDA). This study utilizes geo-located data from a census with parasitological testing with rapid diagnostic tests (RDTs) and treatment-seeking data collection conducted in southern Zambia to estimate the coverage of RCD or fDA in terms of the population and parasite reservoir as well as the operational requirements of such strategies, using a re-sampling algorithm developed exclusively for this purpose. This re-sampling algorithm allows for the specification of several parameters, such that different operational variants of these reactive strategies can be examined, including varying the search radius, screening for fever, or presumptive treatment (fDA).

RESULTS:

Results indicate that RCD, fDA and active fever screening followed by RCD, even with search radii over several hundered meters will only yield limited coverage of the RDT positive parasite reservoir during a short period. Long-term use of these strategies may increase this proportion. Reactive strategies detect a higher proportion of the reservoir of infections than random searches, but this effect appears to be greater in areas of low, but not moderate malaria prevalence in southern Zambia.

DISCUSSION:

Increases in the sensitivity of RDTs could also affect these results. The number of individuals and households that need to be searched increase rapidly, but approximately linearly with search radius.

CONCLUSIONS:

Reactive strategies in southern Zambia yield improved identification of the parasite reservoir when targeted to areas with prevalence less than 10%. The operational requirements of delivering reactive strategies routinely are likely to prevent their uptake until prevalence falls far below this level.

KEYWORDS:

Active community fever screening; Case detection; Fever screening; Malaria; Reactive case detection; Resampling

PMID:
28784122
PMCID:
PMC5547485
DOI:
10.1186/s12936-017-1962-1
[Indexed for MEDLINE]
Free PMC Article

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