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Since 2000, substantial progress has been made in reducing malaria worldwide. In Uganda, malaria transmission is heterogeneous, yet 97% of all cases are attributed to P. falciparum (1). Accordingly, detection and treatment algorithms have targeted P. falciparum over less virulent species. Inadequate attention to non–P. falciparum infections has several implications for malaria transmission. For example, gametocytemia can occur earlier (e.g., P. vivax and perhaps P. ovale) and remain undetected for longer periods because of milder clinical symptoms (e.g., P. malariae and P. ovale) than for P. falciparum infections, enabling persistent transmission of non–P. falciparum infections (2). In the southwestern region of Uganda, Plasmodium transmission is low and unstable. In 2004 and 2010, we conducted surveys that showed progress in decreasing P. falciparum infections in this region, although comparatively little is known about the prevalence of other species in this region (3). To determine the comparative species prevalence by multispecies rapid diagnostic test (RDT) and blood-smear microscopy, we conducted a cross-sectional survey of 631 children <5 years of age during the low transmission season of 2014 in 3 districts in southwestern Uganda (Mbarara, Bushenyi, and Isingiro) (Figure). These 3 districts represent a range of transmission intensities from low to high, respectively (4). Figure Districts where surveys of asymptomatic children were conducted to determine Plasmodium infections, southwestern Uganda.

In the southwestern region of Uganda, Plasmodium transmission is low and unstable. In 2004 and 2010, we conducted surveys that showed progress in decreasing P. falciparum infections in this region, although comparatively little is known about the prevalence of other species in this region (3). To determine the comparative species prevalence by multispecies rapid diagnostic test (RDT) and blood-smear microscopy, we conducted a cross-sectional survey of 631 children <5 years of age during the low transmission season of 2014 in 3 districts in southwestern Uganda (Mbarara, Bushenyi, and Isingiro) (Figure). These 3 districts represent a range of transmission intensities from low to high, respectively (4). Figure Districts where surveys of asymptomatic children were conducted to determine Plasmodium infections, southwestern Uganda. The Study Stratified, 2-stage cluster sampling was used to select study participants. We administered questionnaires to gather information about standard knowledge, attitudes, and practices related to malaria and collected blood for testing with microscopy, RDT, and PCR (Technical Appendix). RDT was a combined P. falciparum–specific, histidine-rich protein-2 (HRP-2)/pan-Plasmodium lactate dehydrogenase (pLDH) RDT (SD Bioline Malaria Ag P.f/Pan [P. falciparum or other Plasmodium species]; Standard Diagnostics, Gyeonggi-do, South Korea). Nested PCR was performed on all RDT- or microscopy-positive samples. Predictors of malaria were selected a priori (online Technical Appendix).

P-2)/pan-Plasmodium lactate dehydrogenase (pLDH) RDT (SD Bioline Malaria Ag P.f/Pan [P. falciparum or other Plasmodium species]; Standard Diagnostics, Gyeonggi-do, South Korea). Nested PCR was performed on all RDT- or microscopy-positive samples. Predictors of malaria were selected a priori (online Technical Appendix). We surveyed 631 children with a mean age of 2.4 years (Table 1). Bed net coverage was high (91.6%) and met targets for 2014 (5). Only 5 households (0.8% of children surveyed) reported use of indoor residual spraying. Of the 3 districts, Isingiro had the highest proportion of children living in the lowest wealth quartile (41.8%) and in households with thatched or leaf roofing (7.3%); this district also had the lowest consistent bed net use (85.7%) (Technical Appendix Table 1).

dren surveyed) reported use of indoor residual spraying. Of the 3 districts, Isingiro had the highest proportion of children living in the lowest wealth quartile (41.8%) and in households with thatched or leaf roofing (7.3%); this district also had the lowest consistent bed net use (85.7%) (Technical Appendix Table 1). Table 1 Characteristics of asymptomatic children surveyed for Plasmodium infections, by district, southwestern Uganda* Characteristic District† p value‡ Mbarara, n = 242 Bushenyi, n = 157 Isingiro, n = 232 Total, N = 631† Mean age, y ± SD 2.4 ± 1.2 2.3 ± 1.2 2.4 ± 1.3 2.4 ± 1.3 0.850 Sex M 122 (50.4) 80 (51.0) 120 (51.7) 322 (51.0) 0.958 F 120 (49.6) 77 (49.0) 112 (48.3) 309 (49.0) Rural 177 (73.1) 133 (84.7) 202 (87.1) 512 (81.1) 0.472 Wealth quartile <0.001 1st 42 (17.4) 45 (28.7) 97 (41.8) 184 (29.2) 2nd 27 (11.2) 58 (36.9) 55 (23.7) 140 (22.2) 3rd 83 (34.3) 32 (20.4) 56 (24.1) 171 (27.1) 4th 90 (37.2) 22 (14.0) 24 (10.3) 136 (21.6) Roofing material <0.001 Corrugated metal 237 (97.9) 152 (96.8) 206 (88.8) 595 (94.3) Thatch or leaf 3 (1.2) 5 (3.2) 17 (7.3) 25 (4.0) Other 2 (0.8) 0 9 (3.9) 11 (1.7) Household crowding§ 0.239 1–2 68 (28.1) 52 (33.1) 61 (26.3) 181 (28.7) 3 123 (50.8) 71 (45.2) 134 (57.8) 328 (52.0)

(37.2) 22 (14.0) 24 (10.3) 136 (21.6) Roofing material <0.001 Corrugated metal 237 (97.9) 152 (96.8) 206 (88.8) 595 (94.3) Thatch or leaf 3 (1.2) 5 (3.2) 17 (7.3) 25 (4.0) Other 2 (0.8) 0 9 (3.9) 11 (1.7) Household crowding§ 0.239 1–2 68 (28.1) 52 (33.1) 61 (26.3) 181 (28.7) 3 123 (50.8) 71 (45.2) 134 (57.8) 328 (52.0) >4 51 (21.1) 34 (21.7) 37 (16.0) 122 (19.3) Consistent bed net use 228 (94.2) 151 (96.2) 198 (85.7) 577 (91.6) 0.003 Indoor residual spraying 4 (1.7) 1 (0.6) 0 5 (0.8) 0.122 Malaria prevalence By RDT 4 (1.7) 8 (5.1) 30 (13.0) 42 (6.7) <0.001 Pf+ 1 3 7 11 Pan+ 2 0 1 3 Pf/Pan+ 1 5 22 28 By microscopy 4 (1.7) 5 (3.2) 13 (5.6) 22 (3.5) 0.067 P. falciparum 2 3 4 9 P. malariae 0 1 6 7 P. ovale 1 1 1 3 Mixed Pf/Pm 1 0 2 3 *Values are no. (%) children surveyed except as indicated. Pan+, positive for non–P. falciparum infection only; Pf+, positive for P. falciparum monoinfection only; Pf/Pan+, positive for P. falciparum monoinfection or P. falciparum mixed infection; RDT, rapid diagnostic test; mixed Pf/Pm, positive for P. falciparum monoinfection or P. malariae mixed infection. †Totals in columns may not add up to total because of missing data. ‡Determined by Fisher exact test or χ2 test, as appropriate. §Defined as number of persons who sleep in the same room.

um mixed infection; RDT, rapid diagnostic test; mixed Pf/Pm, positive for P. falciparum monoinfection or P. malariae mixed infection. †Totals in columns may not add up to total because of missing data. ‡Determined by Fisher exact test or χ2 test, as appropriate. §Defined as number of persons who sleep in the same room. Overall prevalence of parasitemia by microscopy was 3.5% (95% CI 1.9%–5.1%). Speciation by microscopy revealed a higher proportion of non–P. falciparum infections than P. falciparum monoinfections. Of 22 microscopy-positive samples, 9 (40.9%) were P. falciparum monoinfections, 7 (31.8%) were P. malariae monoinfections, 3 (13.6%) were P. ovale monoinfections, and 3 (13.6%) were P. falciparum/P. malariae mixed infections. Most P. malariae monoinfections occurred in Isingiro district. Sixteen (72.7%) of 22 blood-smear readings correlated directly with PCR results (Technical Appendix Table 2).

, 7 (31.8%) were P. malariae monoinfections, 3 (13.6%) were P. ovale monoinfections, and 3 (13.6%) were P. falciparum/P. malariae mixed infections. Most P. malariae monoinfections occurred in Isingiro district. Sixteen (72.7%) of 22 blood-smear readings correlated directly with PCR results (Technical Appendix Table 2). Malaria parasite prevalence was 2-fold higher by RDT than by microscopy (6.7% vs. 3.5%; Table 1). RDT correctly identified 9 of 12 P. falciparum monoinfections and mixed infections. A comparison of the diagnostic performance of RDT and microscopy (uncorrected by PCR) indicates that agreement of results from these methods was high (>94%); however, agreement was poor in detecting non–P. falciparum infections (κ = 0.15) compared with detecting overall infection (κ = 0.41) and P. falciparum infection (κ = 0.33) (Table 2). PCR detected parasite DNA in 53.7% (22/41) of RDT-positive samples; of these, 55% (12/22) correlated with the correct RDT band pattern interpretation (Technical Appendix Table 2).

n–P. falciparum infections (κ = 0.15) compared with detecting overall infection (κ = 0.41) and P. falciparum infection (κ = 0.33) (Table 2). PCR detected parasite DNA in 53.7% (22/41) of RDT-positive samples; of these, 55% (12/22) correlated with the correct RDT band pattern interpretation (Technical Appendix Table 2). Table 2 Diagnostic performance of RDT and microscopy for Plasmodium infections in children in 3 districts, southwestern Uganda* Diagnostic accuracy of RDT† Plasmodium infection P. falciparum infection Non–P. falciparum infection‡ Sensitivity (95% CI) 63.6 (40.7–82.8) 75.0 (42.8–94.5) 10.0 (0.3–44.5) Specificity (95% CI) 95.4 (93.4–96.9) 95.1 (93.1–96.7) 99.8 (99.1–100.0) PPV (95% CI) 33.3 (19.6–49.5) 23.1 (11.1–39.3) 50.0 (1.3–98.7) NPV (95% CI) 98.6 (97.3–99.4) 99.5 (98.5–99.9) 98.6 (97.3–99.3) Agreement, % 94.3 94.8 98.3 κ 0.41 0.33 0.15 *NPV, negative predictive value; PPV, positive predictive value; RDT, rapid diagnostic test. †SD Bioline Malaria Ag Pf/Pan (P. falciparum or other Plasmodium species; Standard Diagnostics, Gyeonggi-do, South Korea). ‡Children with mixed infections were excluded from analysis. Approximately one third (8/22) of children with microscopy-positive cultures had negative RDT results (Technical Appendix Table 3). Of these 8 discordant cases, 5 harbored PCR-confirmed P. malariae or P. ovale monoinfections; all had parasite densities <1,060/μL (Technical Appendix Table 2). Conversely, two thirds (28/42) of RDT-positive samples were negative by microscopy. Of the 28 children with RDT-positive and microscopy-negative samples, 8 (28.6%) had a malaria infection within the previous month; 4 of those had detectable parasite DNA.

ll had parasite densities <1,060/μL (Technical Appendix Table 2). Conversely, two thirds (28/42) of RDT-positive samples were negative by microscopy. Of the 28 children with RDT-positive and microscopy-negative samples, 8 (28.6%) had a malaria infection within the previous month; 4 of those had detectable parasite DNA. Conclusions Our findings indicate that strides in the control of P. falciparum malaria have continued in Uganda. Compared with data from 2010, P. falciparum prevalence by microscopy had a 4- and 5-fold decrease in urban and rural villages, respectively (3). Our estimates are consistent with prevalence estimates from 2009 (12%) and 2014–2015 (4%) (1,6). In our study, 46% of asymptomatically infected children harbored non–P. falciparum species, particularly P. malariae, in contrast to the 1.2% non–P. falciparum species prevalence in 2009 (6). In addition, 1 P. vivax monoinfection was detected by PCR in Isingiro, confirming the continued presence of all 4 major species in Uganda (Technical Appendix Table 2) (1). Furthermore, although most P. malariae cases were from Isingiro, recent studies in other regions of Uganda (i.e., northern and eastern) have also reported a rise in non–P. falciparum infections, particularly P. malariae (7–9).

ing the continued presence of all 4 major species in Uganda (Technical Appendix Table 2) (1). Furthermore, although most P. malariae cases were from Isingiro, recent studies in other regions of Uganda (i.e., northern and eastern) have also reported a rise in non–P. falciparum infections, particularly P. malariae (7–9). One possible reason for the nearly equivalent prevalence of asymptomatic P. falciparum and non–P. falciparum infections is the influence of seasonal fluctuations in species prevalence; for example, P. malariae prevalence has been higher during the dry season in West Africa (10). Another possibility is that the use of P. falciparum–based RDTs, which are advantageous because of low infrastructure costs and high prevalence of this species in Uganda, has enabled non–P. falciparum prevalence to go undetected. Alternatively, our results may represent a true shift in species prevalence. What is apparent is that pLDH/HRP-2–based RDTs may not be the most sensitive diagnostic method to determine true prevalence in the future. In our study, RDT was negative in all 3 microscopy-identified P. ovale and in 3 of 7 P. malariae monoinfections, a finding that may be in part attributable to these species’ low parasite densities (range 39–1,057/µL).

based RDTs may not be the most sensitive diagnostic method to determine true prevalence in the future. In our study, RDT was negative in all 3 microscopy-identified P. ovale and in 3 of 7 P. malariae monoinfections, a finding that may be in part attributable to these species’ low parasite densities (range 39–1,057/µL). Identifying P. malariae and P. ovale infections is critical because P. malariae has been associated with chronic infections that can persist for years, including a chronic nephrotic syndrome that, once established, is unresponsive to treatment (10). Because these species have milder symptoms and lower parasite prevalence than P. falciparum, infections can remain undetected for extended periods, enabling persons to serve as reservoirs for ongoing transmission (2). These species may transmit gametocytes more efficiently at low parasite densities; a recent study found increased P. falciparum gametocyte production in the setting of mixed P. malariae infections (11). In our study, 30% of non–P. falciparum monoinfections harbored gametocytes. Finally, on the therapeutic side, studies have shown failure of parasite clearance after artemisinin-based combination therapy in non–P. falciparum infections, including P. malariae (2,9,12). P. ovale and P. vivax also form hypnozoites in the liver, and safe treatment with a 14-day course of primaquine is necessary to clear parasitemia. Six children in our study harbored P. ovale or P. vivax infections.

er artemisinin-based combination therapy in non–P. falciparum infections, including P. malariae (2,9,12). P. ovale and P. vivax also form hypnozoites in the liver, and safe treatment with a 14-day course of primaquine is necessary to clear parasitemia. Six children in our study harbored P. ovale or P. vivax infections. From a malaria control perspective, the performance of the pLDH/HRP-2–based RDT was suboptimal in our data, indicating a need for accurate diagnostic methods aimed at detecting Plasmodium infections in this region. A diagnostic method that has been effective in resource-constrained settings is loop-mediated isothermal amplification (LAMP), which affords higher sensitivity in detecting low-level parasitemia, especially P. malariae infections that tend to exhibit lower parasite densities than P. falciparum and P. vivax (13). In a 2013 rural Uganda study, the sensitivity of LAMP was ≈1.8-fold greater than microscopy, comparable to PCR (14). Wide-scale application of a field-friendly technique such as LAMP might be possible in southwestern Uganda, where asymptomatic persons might have low-density malaria infections that persist during the low malaria transmission season, enabling these persons to serve as reservoirs for ongoing transmission and disease (15). Effective methods for detecting and treating these infections are essential for controlling and eliminating malaria.

tomatic persons might have low-density malaria infections that persist during the low malaria transmission season, enabling these persons to serve as reservoirs for ongoing transmission and disease (15). Effective methods for detecting and treating these infections are essential for controlling and eliminating malaria. Technical Appendix Detailed methods and tables describing risk factors for asymptomatic malaria infections and results of PCR-corrected samples found to be positive by microscopy and rapid diagnostic test. Suggested citation for this article: Roh ME, Oyet C, Orikiriza P, Wade M, Kiwanuka G, Mwanga-Amumpaire J, et al. Asymptomatic Plasmodium infections in children in low malaria transmission setting, southwestern Uganda. Emerg Infect Dis. 2016 Aug [date cited]. http://dx.doi.org/10.3201/eid2208.160619 1 Preliminary results from this study were presented at the 64th Annual Meeting of the American Society of Tropical Medicine and Hygiene, October 25–29, 2015, Philadelphia, Pennsylvania, USA. 2 These first authors contributed equally to this article. 3 These senior authors contributed equally to this article. Acknowledgments The authors thank the Médecins Sans Frontières Epicentre Mbarara research team for their hard work and support, without whom this research would not have been possible. We also thank the population of Mbarara, Bushenyi, and Isingiro Districts for their willingness to participate in the study.

3 These senior authors contributed equally to this article. Acknowledgments The authors thank the Médecins Sans Frontières Epicentre Mbarara research team for their hard work and support, without whom this research would not have been possible. We also thank the population of Mbarara, Bushenyi, and Isingiro Districts for their willingness to participate in the study. We thank the Yale Downs Fellowship, MSF Epicentre in Mbarara, Uganda, Uganda Student Support Research Fund, and Medical Education Partnership Initiative for funding this research. Ms. Roh completed this research while obtaining a master’s degree in public health at the Yale School of Public Health in 2015. She is currently a predoctoral student in the Department of Epidemiology and Biostatistics at the University of California, San Francisco. Her primary research focuses on malaria transmission dynamics and evaluation of targeted interventions for malaria elimination.