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. 2021 May 28;19(1):121.
doi: 10.1186/s12916-021-01993-8.

Community-based molecular and serological surveillance of subclinical malaria in Myanmar

Affiliations

Community-based molecular and serological surveillance of subclinical malaria in Myanmar

Katherine O'Flaherty et al. BMC Med. .

Abstract

Background: In the Greater Mekong Subregion (GMS), current malaria surveillance strategies rely on a network of village health volunteers (VHVs) reporting the results of rapid diagnostic tests (RDTs), known to miss many asymptomatic infections. Integration of more sensitive diagnostic molecular and serological measures into the VHV network may improve surveillance of residual malaria transmission in hard-to-reach areas in the region and inform targeted interventions and elimination responses. However, data on residual malaria transmission that would be captured by these measures in the VHV-led testing and treatment surveillance network in the GMS is unknown.

Methods: A total of 114 VHVs were trained to collect dried blood spots from villagers undergoing routine RDTs as part of VHV-led active and passive case detection from April 2015 to June 2016. Samples were subjected to molecular testing (quantitative polymerase chain reaction [qPCR]) to determine Plasmodium falciparum and P. vivax infection and serological testing (against P. falciparum and P. vivax antigens) to determine exposure to P. falciparum and P. vivax.

Results: Over 15 months, 114 VHVs performed 32,194 RDTs and collected samples for molecular (n = 13,157) and serological (n = 14,128) testing. The prevalence of molecular-detectable P. falciparum and P. vivax infection was 3.2% compared to the 0.16% prevalence of Plasmodium spp. by RDT, highlighting the large burden of infections undetected by standard surveillance. Peaks in anti-P. falciparum, but not P. vivax, merozoite IgG seroprevalence coincided with seasonal P. falciparum transmission peaks, even in those with no molecularly detectable parasites. At the individual level, antibody seropositivity was associated with reduced odds of contemporaneous P. falciparum (OR for PfCSP 0.51 [95%CI 0.35, 0.76], p = 0.001, PfAMA1 0.70 [95%CI 0.52, 0.93], p = 0.01, and PfMSP2 0.81 [95%CI 0.61, 1.08], p = 0.15), but not P. vivax infection (OR PvAMA1 1.02 [95%CI 0.73, 1.43], p = 0.89) indicating a potential role of immunity in protection against molecular-detectable P. falciparum parasitaemia.

Conclusions: We demonstrated that integration and implementation of sample collection for molecular and serological surveillance into networks of VHV servicing hard-to-reach populations in the GMS is feasible, can capture significant levels of ongoing undetected seasonal malaria transmission and has the potential to supplement current routine RDT testing. Improving malaria surveillance by advancing the integration of molecular and serological techniques, through centralised testing approaches or novel point-of-contact tests, will advance progress, and tracking, towards malaria elimination goals in the GMS.

Keywords: Epidemiology; Immunity; Malaria; Plasmodium; Serosurveillance; Surveillance.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Number of RDTs collected by VHV (grey) and prevalence of Plasmodium spp. infection by RDT (95% CI [red]) (a) and number of DBS collected by VHV (grey) and prevalence of Plasmodium spp. infection (95% CI) by qPCR (P. falciparum [red] and P. vivax [blue]) (b) by month over the study period. The high transmission season is shown in grey and months marked with an asterisk. Lines connecting data points are intended only to highlight patterns and not to suggest a continuum between data points
Fig. 2
Fig. 2
Prevalence of P. falciparum and P. vivax infection and levels and seroprevalence of anti-P. falciparum and P. vivax IgG by month over the study period. Prevalence of P. falciparum (a, b) and P. vivax (c, d) infection and median IgG level (a, c) and seroprevalence (95%CI) (b, d) IgG by month over the study period. The high transmission season is shown in grey and months marked with an asterisk

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