Reactive case detection for malaria elimination: real-life experience from an ongoing program in Swaziland

Hugh J W Sturrock, Joe M Novotny, Simon Kunene, Sabelo Dlamini, Zulisile Zulu, Justin M Cohen, Michelle S Hsiang, Bryan Greenhouse, Roly D Gosling, Hugh J W Sturrock, Joe M Novotny, Simon Kunene, Sabelo Dlamini, Zulisile Zulu, Justin M Cohen, Michelle S Hsiang, Bryan Greenhouse, Roly D Gosling

Abstract

As countries move towards malaria elimination, methods to identify infections among populations who do not seek treatment are required. Reactive case detection, whereby individuals living in close proximity to passively detected cases are screened and treated, is one approach being used by a number of countries including Swaziland. An outstanding issue is establishing the epidemiologically and operationally optimal screening radius around each passively detected index case. Using data collected between December 2009 and June 2012 from reactive case detection (RACD) activities in Swaziland, we evaluated the effect of screening radius and other risk factors on the probability of detecting cases by reactive case detection. Using satellite imagery, we also evaluated the household coverage achieved during reactive case detection. Over the study period, 250 cases triggered RACD, which identified a further 74 cases, showing the value of RACD over passive surveillance alone. Results suggest that the odds of detecting a case within the household of the index case were significantly higher than in neighbouring households (odds ratio (OR) 13, 95% CI 3.1-54.4). Furthermore, cases were more likely to be detected when RACD was conducted within a week of the index presenting at a health facility (OR 8.7, 95% CI 1.1-66.4) and if the index household had not been sprayed with insecticide (OR sprayed vs not sprayed 0.11, 95% CI 0.03-0.46). The large number of households missed during RACD indicates that a 1 km screening radius may be impractical in such resource limited settings such as Swaziland. Future RACD in Swaziland could be made more effective by achieving high coverage amongst individuals located near to index cases and in areas where spraying has not been conducted. As well as allowing the programme to implement RACD more rapidly, this would help to more precisely define the optimal screening radius.

Conflict of interest statement

Competing Interests: Dr Roly Gosling is a PLOS ONE editorial board member. This does not alter the authros’ adherence to all the PLOS ONE policies on sharing data and materials.

Figures

Figure 1. Household coverage and response time…
Figure 1. Household coverage and response time of RACD in Swaziland.
A - Histogram of the number of households screened per index case (1 household indicates only the index household screened). B - Histogram of the time from presentation of the index case to the start of RACD.
Figure 2. Probability of detecting a secondary…
Figure 2. Probability of detecting a secondary case within different search distances from index households.
Error bars indicate the 95% confidence intervals (adjusted for intra-household correlation).

References

    1. Yekutiel P (1960) Problems of epidemiology in malaria eradication. Bull World Health Organ 22: 669–683.
    1. The malERA Consultative Group on Monitoring Evaluation and Surveillance (2011) A research agenda for malaria eradication: monitoring, evaluation, and surveillance. PLOS Med 8: e1000400.
    1. Coura JR, Suarez-Mutis M, Ladeia-Andrade S (2006) A new challenge for malaria control in Brazil: asymptomatic Plasmodium infection–a review. Mem Inst Oswaldo Cruz 101: 229–237.
    1. Moonen B, Cohen JM, Snow RW, Slutsker L, Drakeley C, et al. (2010) Operational strategies to achieve and maintain malaria elimination. Lancet 376: 1592–1603.
    1. Bousema T, Drakeley C (2011) Epidemiology and infectivity of Plasmodium falciparum and Plasmodium vivax gametocytes in relation to malaria control and elimination. Clin Microbiol Rev 24: 377–410.
    1. Muirhead-Thomson RC (1954) Low gametocyte thresholds of infection of Anopheles with Plasmodium falciparum; a significant factor in malaria epidemiology. Br Med J 1: 68–70.
    1. WHO (2012) Disease surveillance for malaria elimination: an operational manual. Geneva: WHO.
    1. Stresman G, Kamanga A, Moono P, Hamapumbu H, Mharakurwa S, et al. (2010) A method of active case detection to target reservoirs of asymptomatic malaria and gametocyte carriers in a rural area in Southern Province, Zambia. Malar J 9: 265.
    1. Bejon P, Williams TN, Liljander A, Noor AM, Wambua J, et al. (2010) Stable and unstable malaria hotspots in longitudinal cohort studies in Kenya. PLOS Med 7: e1000304.
    1. Bousema T, Drakeley C, Gesase S, Hashim R, Magesa S, et al. (2010) Identification of hot spots of malaria transmission for targeted malaria control. J Infect Dis 201: 1764–1774.
    1. Gaudart J, Poudiougou B, Dicko A, Ranque S, Toure O, et al. (2006) Space-time clustering of childhood malaria at the household level: a dynamic cohort in a Mali village. BMC pub health 6: 286.
    1. Branch O, Casapia WM, Gamboa DV, Hernandez JN, Alava FF, et al. (2005) Clustered local transmission and asymptomatic Plasmodium falciparum and Plasmodium vivax malaria infections in a recently emerged, hypoendemic Peruvian Amazon community. Malar J 4: 27.
    1. Kunene S, Phillips AA, Gosling RD, Kandula D, Novotny JM (2011) A national policy for malaria elimination in Swaziland: a first for sub-Saharan Africa. Malar J 10: 313.
    1. R Development Core Team (2010) R: a language and environment for statistical computing. Book R: a language and environment for statistical computing.
    1. StataCorp (2011) Stata Statistical Software: Release 12. College Station, TX: StataCorp LP.
    1. Greenwood BM (1989) The microepidemiology of malaria and its importance to malaria control. Trans R Soc Trop Med Hyg 83 Suppl: 25–29
    1. Carter R, Mendis KN, Roberts D (2000) Spatial targeting of interventions against malaria. Bull World Health Organ 78: 1401–1411.
    1. Gamage-Mendis AC, Carter R, Mendis C, De Zoysa APK, Herath PRJ, et al. (1991) Clustering of malaria infections within an endemic population: risk of malaria associated with the type of housing construction. Am J Trop Med Hyg 45: 77–85.
    1. Bousema T, Griffin JT, Sauerwein RW, Smith DL, Churcher TS, et al. (2012) Hitting hotspots: spatial targeting of malaria for control and elimination. PLOS Med 9: e1001165.
    1. Cohen J, Dlamini S, Novotny J, Kandula D, Kunene S, et al. (2013) Rapid case-based mapping of seasonal malaria transmission risk for strategic elimination planning in Swaziland. Malar J 12: 61.
    1. Okell LC, Bousema T, Griffin JT, Ouedraogo AL, Ghani AC, et al. (2012) Factors determining the occurrence of submicroscopic malaria infections and their relevance for control. Nat Commun 3: 1237.
    1. McMorrow Ml, Aidoo M, Kachur SP (2011) Malaria rapid diagnostic tests in elimination settings–can they find the last parasite? Clin Microbiol Inf 17: 1624–1631.
    1. Hsiang MS, Hwang J, Kunene S, Drakeley C, Kandula D, et al. (2012) Surveillance for malaria elimination in Swaziland:a national cross-sectional study using pooled PCR and serology. PLOS One 7: e29550.
    1. Gosling RD, Okell L, Mosha J, Chandramohan D (2011) The role of antimalarial treatment in the elimination of malaria. Clin Microbiol Inf 17: 1617–1623.
    1. Enk MJ, Lima ACL, Massara CL, Coelho PMZ, Schall VT (2008) A combined strategy to improve the control of Schistosoma mansoni in areas of low prevalence in Brazil. Am J Trop Med Hyg 78: 140–146.
    1. Lucchi NW, Demas A, Narayanan J, Sumari D, Kabanywanyi A, et al. (2010) Real-time fluorescence loop mediated isothermal amplification for the diagnosis of malaria. PLOS One 5: e13733.
    1. WHO Evidence Review Group (2012) The safety and effectiveness of single dose primaquine as a P. falciparum gametocytocide. Available: . Accessed 2013 Jan 15.

Source: PubMed

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