Improving the efficiency of reactive case detection for malaria elimination in southern Zambia: a cross-sectional study
Autor: | Tamaki Kobayashi, Jennifer C. Stevenson, Frank C. Curriero, Mukuma Lubinda, Kelly M. Searle, Japhet Matoba, Douglas E. Norris, Ben Katowa, Timothy Shields, Harry Hamapumbu, Michael Musonda, Philip E. Thuma, Fiona Bhondoekhan, William J. Moss |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Adult
medicine.medical_specialty lcsh:Arctic medicine. Tropical medicine Adolescent Cross-sectional study Elimination lcsh:RC955-962 030231 tropical medicine Plasmodium falciparum Zambia Environment lcsh:Infectious and parasitic diseases 03 medical and health sciences Young Adult 0302 clinical medicine Environmental health parasitic diseases Prevalence Medicine Humans lcsh:RC109-216 030212 general & internal medicine Disease Eradication Malaria Falciparum Child Index case Generalized estimating equation Case detection business.industry Diagnostic Tests Routine Public health Research Infant Newborn Infant Middle Aged medicine.disease Malaria Infectious Diseases Cross-Sectional Studies Child Preschool Tropical medicine Screening Parasitology Catchment area business Reactive case detection |
Zdroj: | Malaria Journal, Vol 19, Iss 1, Pp 1-13 (2020) Malaria Journal |
ISSN: | 1475-2875 |
Popis: | Background Reactive case detection (RCD) seeks to enhance malaria surveillance and control by identifying and treating parasitaemic individuals residing near index cases. In Zambia, this strategy starts with passive detection of symptomatic incident malaria cases at local health facilities or by community health workers, with subsequent home visits to screen-and-treat residents in the index case and neighbouring (secondary) households within a 140-m radius using rapid diagnostic tests (RDTs). However, a small circular radius may not be the most efficient strategy to identify parasitaemic individuals in low-endemic areas with hotspots of malaria transmission. To evaluate if RCD efficiency could be improved by increasing the probability of identifying parasitaemic residents, environmental risk factors and a larger screening radius (250 m) were assessed in a region of low malaria endemicity. Methods Between January 12, 2015 and July 26, 2017, 4170 individuals residing in 158 index and 531 secondary households were enrolled and completed a baseline questionnaire in the catchment area of Macha Hospital in Choma District, Southern Province, Zambia. Plasmodium falciparum prevalence was measured using PfHRP2 RDTs and quantitative PCR (qPCR). A Quickbird™ high-resolution satellite image of the catchment area was used to create environmental risk factors in ArcGIS, and generalized estimating equations were used to evaluate associations between risk factors and secondary households with parasitaemic individuals. Results The parasite prevalence in secondary (non-index case) households was 0.7% by RDT and 1.8% by qPCR. Overall, 8.5% (n = 45) of secondary households had at least one resident with parasitaemia by qPCR or RDT. The risk of a secondary household having a parasitaemic resident was significantly increased in proximity to higher order streams and marginally with increasing distance from index households. The adjusted OR for proximity to third- and fifth-order streams were 2.97 (95% CI 1.04–8.42) and 2.30 (95% CI 1.04–5.09), respectively, and that for distance to index households for each 50 m was 1.24 (95% CI 0.98–1.58). Conclusion Applying proximity to streams as a screening tool, 16% (n = 3) more malaria-positive secondary households were identified compared to using a 140-m circular screening radius. This analysis highlights the potential use of environmental risk factors as a screening strategy to increase RCD efficiency. |
Databáze: | OpenAIRE |
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