Skip to main content

Evaluating performance of multiplex real time PCR for the diagnosis of malaria at elimination targeted low transmission settings of Ethiopia



Malaria incidence has declined in Ethiopia in the past 10 years. Current malaria diagnostic tests, including light microscopy and rapid antigen-detecting diagnostic tests (RDTs) cannot reliably detect low-density infections. Studies have shown that nucleic acid amplification tests are highly sensitive and specific in detecting malaria infection. This study took place with the aim of evaluating the performance of multiplex real time PCR for the diagnosis of malaria using patient samples collected from health facilities located at malaria elimination targeted low transmission settings in Ethiopia.


A health facility-based, cross-sectional survey was conducted in selected malaria sentinel sites. Malaria-suspected febrile outpatients referred to laboratory for malaria testing between December 2019 and March 2020 was enrolled into this study. Sociodemographic information and capillary blood samples were collected from the study participants and tested at spot with RDTs. Additionally, five circles of dry blood spot (DBS) samples on Whatman filter paper and thick and thin smear were prepared for molecular testing and microscopic examination, respectively. Multiplex real time PCR assay was performed at Ethiopian Public Health Institute (EPHI) malaria laboratory. The performance of multiplex real time PCR assay, microscopy and RDT for the diagnosis of malaria was compared and evaluated against each other.


Out of 271 blood samples, multiplex real time PCR identified 69 malaria cases as Plasmodium falciparum infection, 16 as Plasmodium vivax and 3 as mixed infections. Of the total samples, light microscopy detected 33 as P. falciparum, 18 as P. vivax, and RDT detected 43 as P. falciparum, 17 as P. vivax, and one mixed infection. Using light microscopy as reference test, the sensitivity and specificity of multiplex real time PCR were 100% (95% CI (93–100)) and 83.2% (95% CI (77.6–87.9)), respectively. Using multiplex real time PCR as a reference, light microscopy and RDT had sensitivity of 58% (95% CI 46.9–68.4) and 67% (95% CI 56.2–76.7); and 100% (95% CI 98–100) and 98.9% (95% CI 96–99.9), respectively. Substantial level of agreement was reported between microscopy and multiplex real time PCR results with kappa value of 0.65.


Multiplex real-time PCR had an advanced performance in parasite detection and species identification on febrile patients’ samples than did microscopy and RDT in low malaria transmission settings. It is highly sensitive malaria diagnostic method that can be used in malaria elimination programme, particularly for community based epidemiological samples. Although microscopy and RDT had reduced performance when compared to multiplex real time PCR, still had an acceptable performance in diagnosis of malaria cases on patient samples at clinical facilities.


Malaria is a life-threatening disease caused by the protozoan parasite genus Plasmodium and transmitted by the bite of infected female Anopheles mosquitoes. Currently, there are five species of the genus Plasmodium known to cause human malaria: Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, Plasmodium malariae, and Plasmodium knowlesi [1]. Despite being preventable and treatable, malaria continues to cause significant morbidity and mortality particularly in tropics and sub-tropics area of the world [2]. In 2017, around 219 million cases and 435,000 deaths were documented globally, 92% of these cases and deaths occur in sub-Saharan Africa [3].

Malaria has been the major cause of illness and death for thousands of peoples for several years in Ethiopia; this is mainly due to variable climatic changes such as altitude and rainfall which favour the proliferation of mosquitoes [4]. Around 75% of the land of the country is malarious, in which 60% of the populations are at risk of contracting malaria infection [5]. Plasmodium falciparum is the predominant parasite (65%) that is known to cause the most serious infection than other species, followed by P. vivax (34%). Malaria transmission peaks during the harvesting season which poses a serious impact on the country’s socio-economic development [6].

Light microscopy using Giemsa-stained blood film is a primary malaria diagnostic tool and considered as gold standard for malaria parasite identification and confirmation at hospitals and health centres all over Ethiopia. In malaria-endemic rural areas rapid diagnostic tests (RDTs) are the malaria diagnostic tool [7]. Histidine rich protein 2 (HRP-2) and lactose dehydrogenase protein (LDH) are mostly used Plasmodium-specific protein antigen targets [8]. RDTs have improved sensitivity for detection of P. falciparum infection; they also require no electricity source and minimum training to perform the test, compared to microscopy. Reader bias when reading result bands and/or false negative results during hyperparasitaemia due to antigen prozone effects are limitations of RDT tests. Moreover, during mixed and low parasitaemia both microscopy and RDTs have shown reduced performance for detection of Plasmodium infection [9, 10].

Since 2005, malaria morbidity and mortality in Ethiopia has declined due to the implementation of malaria prevention and control programmes [11]. Encouraged by this effort, the Federal Ministry of Health plan to eliminate malaria by 2030 [12]. However, a lack of suitable tools to diagnose and treat every malaria infection and to guide surveillance are the major challenges for the national malaria elimination programme [13, 14].

To achieve the elimination of malaria requires the halting of every possible transmission of Plasmodium parasites within communities, which demands early and accurate diagnosis followed by prompt treatment and case management of patients [15]. The implementation of sensitive diagnostic tools is necessary in order to observe changes in prevalence, improve the quality of laboratory assessment and performance evaluation of alternative diagnostic tools [16].

The currently employed malaria diagnostic approaches throughout Ethiopia, microscopy and RDT, have poor sensitivity for detection of Plasmodium species in low transmission settings, which can lead to an underestimation of infection prevalence. Application of malaria RDT testing in the malaria elimination programme is threatened due to the emergence of P. falciparum pfhrp2 and pfhrp3 gene deletion [17]. To guide and evaluate the programme’s targeted elimination settings, highly sensitive and robust malaria diagnostic tools are required, especially for mass screening and treatment strategy [10, 14].

Nowadays, different molecular tests are in use for the detection of Plasmodium species. These molecular tests have been developed based on real-time quantitative PCR, with qualities of quantitative and closed systems that reduce time, labour, reagents, cost, and risk of contamination compared to conventional PCR [10]. Multiplex real-time PCR has improved the capability for detection of mixed Plasmodium infections and detection of Plasmodium species in low parasitaemia cases, with the detection limit of fewer than 2 parasites per ml and has an advantage of simultaneous detection of multiple targets in a single run to increase sensitivity and specificity of the test, compared to microscopy, RDTs and conventional PCR [14, 18].


Study area

The study was conducted in two malaria sentinel sites in Ethiopia: Shewa Robit health centre in the northeast and Metehara health centre in eastern Ethiopia. The healthcare facilities are located in the targeted malaria elimination areas. Ethiopian Public Health Institute (EPHI) in collaboration with Federal Ministry of Health established 25 malaria sentinel surveillance sites, representing regional malaria cover in Ethiopia. These sites are eco-epidemiologically representative and focal areas of malaria infection.

Study design and period

A facility-based, cross-sectional study was conducted by collecting data from malaria-suspected febrile outpatients referred for malaria testing to the laboratory within the period December, 2019 to March, 2020.

Participant selection criteria

All malaria-suspected febrile patients of any age referred to the laboratory for malaria testing were included in this study. Patients who had anti-malarial therapy in the 4 weeks before sample collection, and any critically ill patients were excluded from the study.

Sample size calculation

Sample size was calculated using Buderer’s formula [19] as follows:

$${\text{Z}}^{{2}}_{1 - \alpha /2} \times S_{N} \times \left( {{1} - S_{N} } \right)$$
$${\text{L}}^{{2}} \times {\text{Prevalence}}$$

Z1−α/2 (standard normal deviate corresponding to the specified size of the critical region (α) = 1.96, SN (anticipated sensitivity) = 0.9, Prevalence = 13%, L (absolute precision desired on either side of sensitivity) = 0.1. Because no previous malaria prevalence studies using multiplex real time PCR were found, an estimated, intellectual guess was made of malaria prevalence of 13% and anticipated sensitivity of 90% (95% CI 80–100%) for P. falciparum, compared to conventional PCR. A total of 271 participants were enrolled into this study.

Sampling technique

Convenient sampling technique was used on a consecutive basis to recruit study subjects referred to the laboratory for malaria testing by attending clinical staff, according to the usual standard of care, within the period December 2019 to March 2020.

Data collection procedure

After obtaining patient consent, demographic profiles and clinical data were collected using a structured questionnaire. Using capillary blood taken from each patient, thick and thin smears were prepared for microscopy. RDT testing was performed at spot and five circles of dried blood spot (DBS) were collected on Whatman filter paper and transported by cold chain to the EPHI laboratory for molecular tests.

Laboratory analysis

Rapid diagnostic test

RDT testing was performed as per manufacturer instruction using CareStart™ malaria HRP2/pLDH combo test. This test detects HRP-2 proteins specific to falciparum and pLDH. The tests were performed in the field laboratory by the health centres’ laboratory personnel as a routine malaria testing.

Malaria microscopy

After preparation of thick and thin blood films, slides were allowed to air-dry at room temperature, and the thin smear fixed by using absolute methanol then stored at 2–8 °C until being transported to EPHI. In EPHI parasitology laboratory, slides were stained with 10% Giemsa solution for 10 min, after being air dried both thick and thin smear were examined by an experienced laboratory technologist. An expert microscopist re-checked all positive slides, and 10% of negative slides. According to WHO malaria microscopy standard operating procedure, at least 100 high power fields (HPFs) were examined for parasite detection.

DNA extraction

Genomic DNA extraction was performed using QiagenQIAamp® 96 DNA Blood Kit (QIAGEN Inc.) from DBS sample. Briefly, three 3-mm circles of the DBS punched out and placed into a 1.5-ml tube for processing as per manufacturer instructions. Finally, with 100 μl volume of elution buffer the DNA was eluted and stored at − 20 °C until assayed.

TaqMan fluorescence based DNA amplification and detection were performed using QuantStudio 5 Real time PCR system. For this study, the multiplex real-time PCR assay was run in two rounds. During the first run, all samples were tested by multiplexing pan-Plasmodium-specific and P. falciparum-specific primers and the second were by multiplexing P. falciparum- and P. vivax-specific primers. Briefly, each reaction mixture was prepared by mixing 2 µl of purified DNA template, 5 µl Luna Universal Probe qPCR Master Mix (New England Biolabs, Inc.), 2 µl PlasQ Primer Mix and 1 µl molecular biology grade water with a final reaction mixture volume of 10 µl. Amplifications were carried out using thermal cycling conditions: for the first PCR run 95 °C for 1 min, followed by 45 cycles of 95 °C for 15 s and 57 °C for 45 s and for the second run 95 °C for 1 min, followed by 45 cycles of 95 °C for 15 s and 53 °C for 45 s. The 3D7 DNA standard was run in each experiment and used as a positive control and nuclease free water used as a negative control. For PCR run, the positive control has 25 to 30 Ct values and all samples have Ct values < 30.0 for HsRNaseP taken as qualified run. Samples with Ct values between 12 and 40 and sigmoidal shape amplification curve were considered as positive (Table 1).

Table 1 Primers and probes sequences used for qPCR assays in this study

Data quality assurance

On-site training was given to all data collectors. All blood films, DBS samples and RDT testing were performed based on standard operating procedures. The quality of each reagent was checked before laboratory analysis was performed. Samples and reagents were stored at appropriate temperature as indicted on the manufacturer’s inserts. Internal and external quality controls were run as required during analysis, all remaining samples stored at − 20 °C, and collected data were double checked manually for completeness and consistency before data entry and analysis. Epi-Info version-7 was used to control and manage errors resulting from data entry process.

Data analysis and interpretation

The collected data were coded, entered into Epi-Info version-7, and exported to STATA version 20 software before analysis and interpretation. Descriptive statistics was used to describe patient sociodemographic and clinical characteristics. The sensitivity, specificity, predictive values, and Kappa coefficient were estimated by comparing results from all three assays and 95% confidence interval was computed.

Ethical considerations

This study was approved by Institutional Ethical Review Board of College of Health Sciences, Addis Ababa University and Scientific and ethical review office of EPHI (Protocol number: EPHI-IRB-219-2019). Official letter was written to sentinel sites. The confidentiality of patient-related data was maintained by avoiding possible identifiers, such as name of patient. Throughout the whole process of data collection and research work, all data were kept safe.


Sociodemographic characteristics of study participants

From a total of 271 study participants, more than half of them were females (54.6%). The mean age was 24.12 years (± 14.83 SD), with 4 months minimum age and 90 years maximum age (Table 2).

Table 2 Age and gender distribution of the study participants

Clinical characteristics of study participants

On presentation, 253 participants (93.36%) had chills and headaches. Sweating and muscle pain was diagnosed in 207 (76.38%) and 199 (73.43%), respectively.

Laboratory results of study participants by multiplex real time PCR, microscopy and RDT

From the total 271 study participants, 26.2% (71) were enrolled from Shewa Robit and the remaining 73.8% (200) from Metahara health centre. Among 271 study participants, malaria-positive cases by microscopy, RDT and multiplex real-time PCR were 51 (19%), 61 (22.5%) and 88 (32.5%), respectively. Comparing the three methods, the positivity rate was highest for multiplex real time-PCR. The positivity rate by all three methods was increased among the age group 16–25 years old, and in male participants (Table 3).

Table 3 Malaria positivity by microscopy, RDT and multiplex real time PCR among study participants, December 2019 to March 2020, Ethiopia

Diagnostic performance of multiplex real time PCR, microscopy and RDT in detecting malaria parasites

Using microscopy as a reference test, multiplex real-time PCR showed an overall sensitivity of 100% (95% CI 93–100), specificity of 83.2% (95% CI 77.57–87.87) and RDT sensitivity of 98.9% (95% CI 96.1–99.87) and specificity of 95% (95% CI 91.23–97.5), respectively (Table 4). Using multiplex real-time PCR as a reference, RDT had shown better sensitivity 67% (95% CI 56.2–76.7) than microscopy 58% (95% CI 46.95–68.4) but both had shown comparable specificity for the detection of Plasmodium infection (Table 4).

Table 4 Performance evaluation of three methods overall and among the study Plasmodium falciparum cases, from December 2019 to March 2020, Ethiopia

Multiplex real-time PCR had shown sensitivity and specificity of 100% and 83.61% for the identification of P. falciparum when microscopy was used as a reference test. RDT showed sensitivity and specificity of 100% and 95.38% for P. falciparum identification when microscopy was used as a reference test (Table 4). The numbers of P. vivax (16) identified by the three methods were not statistically sufficient to compute performance, and were omitted from the analysis.

Result agreement between microscopy, RDT and multiplex real-time PCR

All samples that tested positive by microscopy were positive by multiplex real-time PCR. Additionally, 37 samples, that had missed microscopy testing, tested positive by multiplex-real time PCR. Except for two samples, all RDT-positive samples were also positive by multiplex real-time PCR and multiplex real-time PCR detected 29 samples missed by RDT.

Three mixed infections (P. falciparum and P. vivax) were detected by multiplex real-time PCR, one by RDT, none by microscopy. There was little difference among the three methods in detecting P. vivax (RDT: 17; microscopy: 18; multiplex PCR: 16). However, significantly more P. falciparum cases were detected by multiplex real-time PCR than RDT and microscopy (69 vs 43; 69 vs 33, respectively).

A substantial level of agreement (% of agreement 86.35) was reported between microscopy and multiplex real-time PCR with Kappa value of 0.65. There was an observed agreement of 88.56 (Kappa: 0.72) between RDT and multiplex real-time PCR; almost perfect agreement was reported between microscopy and RDT test results (Kappa value = 0.84) (Table 5).

Table 5 Percentage agreements in identification of Plasmodium spp. between microscopy, RDT and multiplex real-time PCR


Microscopy and RDTs are a widely applicable malaria diagnostic tool and help achieve malaria control goals. However, malaria elimination requires more sensitive detection tools to halt transmission [14]. In this study, multiplex real-time PCR was found to have excellent sensitivity of 100% (95% CI 93–100) and better specificity of 83.2% (95% CI 77.57–87.87) compared to microscopy. A similar study from Toronto, Canada, using multiplex real-time PCR reported comparable sensitivity of 99.4% [18]. However, the specificity reported in this study was lower than microscopy (100%) and RDT (98.5%). This may be interpreted as microscopy and RDT having more false negative results compared to multiplex real-time PCR test. This in turn has an implication for transmission interruption, the ultimate goal of malaria elimination programmes.

The positivity rate reported in this study was highest for multiplex real-time PCR than the two conventional methods (Table 3). Multiplex real-time PCR detects all tests positive by microscopy and 97% of RDT positive Plasmodium infections. The positivity rate by all three diagnostic methods increased among younger age groups and decreased or become zero in older age groups, these findings are in line with a study conducted in West Arsi Zone, Ethiopia, that the overall malaria positivity rate by molecular testing was significantly higher than microscopy and RDT and the positivity rate among younger age groups was highest when determined by microscopy, RDT and molecular tests [20].

In this study, both microscopy and RDT missed significant number of cases compared with real-time PCR. A similar study was reported from Zanzibar, in which RDT missed a high proportion of malaria cases compared with PCR [21]. This showed that in targeted malaria elimination settings highly sensitive diagnostic tools that can detect all Plasmodium infection are required. Multiplex real-time PCR may be an alternative diagnostic tool for epidemiological studies and elimination verification in malaria elimination settings.

Conventional molecular tests use multi-stage procedures to detect a single parasite species, which is labour intensive, time consuming and prone to contamination [22]. However, multiplex real-time PCR has the advantage of simultaneous detection of multiple Plasmodium species in a single reaction. In this study, all microscopy-identified P. falciparum samples tested positive for P. falciparum by multiplex real-time PCR. From 18 P. vivax-positive samples by microscopy, multiplex real-time PCR identified 14 as P. vivax and three as mixed infections. Microscopy misidentified one P. falciparum sample as P. vivax, which was tested positive for P. falciparum by multiplex real-time PCR. This discordant result might be explained by the fact that the microscopy test quality is mainly influenced by staining quality, microscopist skill and parasitaemia [22]. A study conducted in southern Ethiopia was among several studies that revealed microscopy testing had lower sensitivity for species identification compared to molecular testing, which and lead to missed treatment of patients and to severe malaria. In this study, 14 cases that were microscopically diagnosed as P. vivax were found positive for P. falciparum when re-tested by nested PCR [23].

PCR has been considered as a molecular tool for Plasmodium detection and species identification. In addition to the detection of low parasitaemia and speciation, studies have shown that this technique is robust in identifying mixed infection that is often undetected and under-reported by RDT and microscopy assays. Detection of mixed infections provides accurate information for patient treatment, and for epidemiological studies regarding malaria transmission [24,25,26]. In the present study, among three mixed infections identified by multiplex real-time PCR, RDT detected one and the rest two as P. vivax. However, microscopy detected no mixed infections and all three mixed infections detected by multiplex PCR were identified as P. vivax. This may be due to very low level of parasitaemia of the co-infecting species during mixed infections. Likewise, in a study in Israel, from 10 mixed infections identified by real-time PCR, only one was identified by microscopy and RDT testing. In this study, real-time PCR correctly identified 81 malaria-positive cases, which were misidentified by microscopy and RDT [27]. In another study conducted in Switzerland to evaluate microscopy and multiplex real-time PCR, multiplex qPCR assay correctly identified the species and mixed infections with low levels of parasitaemia; in this study 71% of mixed infections were misdiagnosed by microscopy [28]. A study to determine the prevalence of mixed infection using real-time PCR in northern Ethiopia from 168 samples, found the prevalence of mixed infections were 1.8% by microscopy and 12.5% by real-time PCR [24]. As proven by results from these studies, multiplex real-time PCR has the most notable advantage of higher sensitivity to detect mixed infections and to identify species of malaria parasites accurately. It is the ideal malaria diagnostic method for countries such as Ethiopia, where P. falciparum and P. vivax are co-endemic species, unlike most African countries where P. vivax has low or nil endemicity [11].

The RDT test and microscopy had shown lower performance compared to multiplex real-time PCR in the current study. However, results from both assays show almost perfect agreement. One sample was tested negative by RDT and was positive for P. vivax by both PCR and microscopy. A false negative result might be associated with limitations of pLDH-based tests, and these tests had decreased sensitivity at low parasitaemia and performance of detection can be more affected by storage and transportation conditions than HRP-2 based tests [29]. Another explanation might be the prozone effect of hyper parasitaemia which leads to false negative results in RDT testing [8].

In the current study, RDT showed a sensitivity and specificity of 67% and 100%, respectively compared to multiplex real-time PCR. Similar results was reported from a large-scale study conducted to evaluate the performance of serological and qPCR in Brazil, with sensitivity and specificity of 69.56% and 100%, respectively [30]. The current study showed almost similar sensitivity in evaluating the performance of qPCR and RDT using microscopy as reference test for the diagnosis of malaria in returnees from endemic areas [18].

Although identifying malaria to species level has a crucial impact on patient management and transmission interruption, RDT testing is incapable of detecting non-falciparum malaria [9]. In the current study, the sensitivity of RDT for P. falciparum was 100% compared to microscopy as reference test. This was higher than the sensitivity found by Feleke et al. (94.4%) and Moges et al. (92.9%) using similar RDT format [31, 32].

Among the total febrile study participants in this study, a larger proportion of positive cases were identified by multiplex real-time PCR than by RDT and microscopy. However, the study was conducted in non-endemic settings comparing the three methods, microscopy and RDT missed fewer cases, reported by Nijhuis et al. [33]. This might be explained by the fact that the prevalence of sub-microscopic malaria cases increases in endemic settings than in non-endemic settings.

The negative predictive value of multiplex real-time PCR was found to be 100% using microscopy as a reference test. This means that the multiplex real-time PCR is good in ruling out malaria. Plasmodium infection could be ruled out with high certainty if individuals test negative using multiplex real-time PCR. This quality of PCR makes it an ideal diagnostic tool to be used in malaria elimination, rather than RDT and microscopy which were found to have high positive predictive value and low negative predictive value, in the current study. RDT and microscopy increases the probability of missing Plasmodium infection, which has negative impact on transmission interruption in elimination settings, and potentially to contribute to ongoing transmission [34].

Multiplex real-time PCR identified 69 malaria cases as P. falciparum infection, 16 as P. vivax and three as mixed infections from a total of 271 symptomatic malaria-suspected patients in the current study. Of these malaria cases, large numbers of P. falciparum were missed by both RDT and microscopy testing. However, all three methods showed perfect agreement in P. vivax species identification. This is probably due to in the case of P. vivax infection all developmental stages of parasites are found in the peripheral blood circulation that increases parasitic density in symptomatic patients compared to P. falciparum infection in which the parasite causes cyto-adherence and sequestration of infected erythrocytes which result in reduced parasite densities from peripheral blood [35]. Using microscopy as reference test, multiplex real-time PCR showed excellent sensitivity for P. falciparum (100%) identification, which is closely related to the finding of a study in Bangladesh on clinically suspected-malaria patients where the sensitivity of real-time PCR for P. falciparum using microscopy as a gold standard was 97.1% [36].

Substantial numbers of P. falciparum infection was detected by multiplex real-time PCR than microscopy and RDT methods. This might be explained as follows: in this study varATS Plasmodium gene was used for P. falciparum detection which is a more highly sensitive PCR primer for malaria than 18S rRNA-based PCR, which was also used in the current study for the detection of P. vivax [37]. Another reason may be due to the biology of the parasite which has a tendency to sequestrate in the organs during its life cycle and cannot be detected by RDT and microscopy [35].


Multiplex real-time PCR is the most sensitive malaria diagnostic method that can be used in malaria elimination programmes. It had a more advanced performance in species identification and mixed infection detection than microscopy and RDT in low malaria transmission settings and showed better performance in detection of Plasmodium infection among febrile patients. This assay can be used for epidemiological and community-based prevalence studies and for verification of elimination in areas where malaria elimination is launched. However, microscopy and RDT still have an acceptable performance to be used as a malaria diagnostic tool in health facilities for patient treatment due their affordability and easy performance diagnostic methods.

Availability of data and materials

The dataset and materials used for the study are kept in a safe place in EPHI data management center.



Dried blood spot


Ethylene diamine tetra acetic acid


Ethiopian Public Health Institute


Federal Ministry of Health


High power fields


Histidine rich protein-2


Lactose dehydrogenase


Malaria Indicator Survey


National Malaria Strategic Plan


Negative predictive value


Polymerase chain reaction


Positive predictive value


Rapid diagnostic test


World Health Organization


  1. 1.

    Cowman AF, Healer J, Marapana D, Marsh K. Malaria: biology and disease. Cell. 2016;167:610–24.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    WHO. World malaria report 2020. Geneva: World Health Organization; 2020.

    Google Scholar 

  3. 3.

    WHO. World malaria report 2018. Geneva: World Health Organization; 2018.

    Google Scholar 

  4. 4.

    U.S. President’s Malaria Initiative. Ethiopia malaria operational plan FY 2019.

  5. 5.

    Animut A, Lindtjørn B. Use of epidemiological and entomological tools in the control and elimination of malaria in Ethiopia. Malar J. 2018;17:26.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Lemma W. Impact of high malaria incidence in seasonal migrant and permanent adult male laborers in mechanized agricultural farms in Metema-Humera lowlands on malaria elimination program in Ethiopia. BMC Public Health. 2020;20:320.

    Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Federal Ministry of Health. National malaria guidelines, 4th edn. Addis Ababa, 2017:1–108.

  8. 8.

    Tedla M. A focus on improving molecular diagnostic approaches to malaria control and elimination in low transmission settings: review. Parasite Epidemiol Control. 2019;6:e00107.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Zheng Z, Cheng Z. Advances in molecular diagnosis of malaria. Adv Clin Chem. 2017;80:155–92.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Mitsakakis K, Hin S, Müller P, Wipf N, Thomsen E, Coleman M, et al. Converging human and malaria vector diagnostics with data management towards an integrated holistic one health approach. Int J Environ Res Public Health. 2018;15:259.

    Article  PubMed Central  Google Scholar 

  11. 11.

    Taffese HS, Hemming-Schroeder E, Koepfli C, Tesfaye G, Lee MC, Kazura J, et al. Malaria epidemiology and interventions in Ethiopia from 2001 to 2016. Infect Dis Poverty. 2018;7:103.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    FMoH. Ethiopia malaria elimination strategic plan: 2021–2025. Addis Ababa: FMoH; 2021.

    Google Scholar 

  13. 13.

    FMoH. National malaria elimination roadmap. Addis Ababa: FMoH; 2020.

    Google Scholar 

  14. 14.

    Zimmerman PA, Howes RE. Malaria diagnosis for malaria elimination. Curr Opin Infect Dis. 2015;28:446–54.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Britton S, Cheng Q, McCarthy JS. Novel molecular diagnostic tools for malaria elimination: a review of options from the point of view of high-throughput and applicability in resource limited settings. Malar J. 2016;15:88.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    WHO. Policy brief on malaria diagnostics in low-transmission settings. Geneva: World Health Organization; 2014.

    Google Scholar 

  17. 17.

    Grignard L, Nolder D, Sepúlveda N, Berhane A, Mihreteab S, Kaaya R, et al. A novel multiplex qPCR assay for detection of Plasmodium falciparum with histidine-rich protein 2 and 3 (pfhrp2 and pfhrp3) deletions in polyclonal infections. EBioMedicine. 2020;55:102757.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Khairnar K, Martin D, Lau R, Ralevski F, Pillai DR. Multiplex real-time quantitative PCR, microscopy and rapid diagnostic immuno-chromatographic tests for the detection of Plasmodium spp: performance, limit of detection analysis and quality assurance. Malar J. 2009;8:284.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Zaidi M, Hospital LN, Waseem H, Fahim M, Ansari A, Hospital LN, et al. Sample size estimation of diagnostic test studies. In: Proc 14th int conf stat sci, vol. 29. 2016;239–46.

  20. 20.

    Golassa L, Enweji N, Erko B, Aseffa A, Swedberg G. Detection of a substantial number of sub-microscopic Plasmodium falciparum infections by polymerase chain reaction: a potential threat to malaria control and diagnosis in Ethiopia. Malar J. 2013;12:352.

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Cook J, Xu W, Msellem M, Vonk M, Bergström B, Gosling R, et al. Mass screening and treatment on the basis of results of a Plasmodium falciparum-specific rapid diagnostic test did not reduce malaria incidence in Zanzibar. J Infect Dis. 2015;211:1476–83.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Rougemont M, Van Saanen M, Sahli R, Hinrikson HP, Bille J, Jaton K. Detection of four Plasmodium species in blood from humans by 18S rRNA gene subunit-based and species-specific real-time PCR assays. J Clin Microbiol. 2004;42:5636–43.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Mekonnen SK, Aseffa A, Medhin G, Berhe N, Velavan TP. Re-evaluation of microscopy confirmed Plasmodium falciparum and Plasmodium vivax malaria by nested PCR detection in southern Ethiopia. Malar J. 2014;13:48.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Tajebe A, Magoma G, Aemero M, Kimani F. Detection of mixed infection level of Plasmodium falciparum and Plasmodium vivax by SYBR Green I-based real-time PCR in North Gondar, north-west Ethiopia. Malar J. 2014;13:411.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Ehtesham R, Fazaeli A, Raeisi A, Keshavarz H, Heidari A. Detection of mixed-species infections of Plasmodium falciparum and Plasmodium vivax by nested PCR and rapid diagnostic tests in Southeastern Iran. Am J Trop Med Hyg. 2015;93:181–5.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Krishna S, Bharti PK, Chandel HS, Ahmad A, Kumar R, Singh PP, et al. Detection of mixed infections with Plasmodium spp. by PCR, India, 2014. Emerg Infect Dis. 2015;21:1853–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Grossman T, Schwartz E, Vainer J, Agmon V, Glazer Y, Goldmann D, et al. Contribution of real-time PCR to Plasmodium species identification and to clinical decisions: a nationwide study in a non-endemic setting. Eur J Clin Microbiol Infect Dis. 2017;36:671–5.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Dormond L, Jaton-Ogay K, De Vallière S, Genton B, Bille J, Greub G. Multiplex real-time PCR for the diagnosis of malaria: correlation with microscopy. Clin Microbiol Infect. 2011;17:469–75.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Diallo MA, Diongue K, Ndiaye M, Gaye A, Deme A, Badiane AS, et al. Evaluation of CareStartTM Malaria HRP2/pLDH (Pf/pan) combo test in a malaria low transmission region of Senegal. Malar J. 2017;16:328.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Lima GF, Levi JE, Geraldi MP, Sanchez MCA, Segurado AA, Hristov AD, et al. Malaria diagnosis from pooled blood samples: comparative analysis of real-time PCR, nested PCR and immunoassay as a platform for the molecular and serological diagnosis of malaria on a large-scale. Mem Inst Oswaldo Cruz. 2011;106:691–700.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Feleke DG, Tarko S, Hadush H. Performance comparison of CareStartTM HRP2/pLDH combo rapid malaria test with light microscopy in north-western Tigray, Ethiopia: a cross-sectional study. BMC Infect Dis. 2017;17:399.

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Moges B, Amare B, Belyhun Y, Tekeste Z, Gizachew M, Workineh M, et al. Comparison of CareStart HRP2/pLDH COMBO rapid malaria test with light microscopy in north-west Ethiopia. Malar J. 2012;11:234.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Nijhuis RHT, van Lieshout L, Verweij JJ, Claas ECJ, Wessels E. Multiplex real-time PCR for diagnosing malaria in a non-endemic setting: a prospective comparison to conventional methods. Eur J Clin Microbiol Infect Dis. 2018;37:2323–9.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Alves FP, Durlacher RR, Menezes MJ, Krieger H, Silva LHP, Camargo EP. High prevalence of asyptomatic Plasmodium vivax and Plasmodium falciparum infections in native Amazonian populations. Am J Trop Med Hyg. 2002;66:641–8.

    Article  PubMed  Google Scholar 

  35. 35.

    Adams JH, Mueller I. The biology of Plasmodium vivax. Cold Spring Harb Perspect Med. 2017;7:1–12.

    Article  Google Scholar 

  36. 36.

    Alam MS, Mohon AN, Mustafa S, Khan WA, Islam N, Karim MJ, et al. Real-time PCR assay and rapid diagnostic tests for the diagnosis of clinically suspected malaria patients in Bangladesh. Malar J. 2011;10:175.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Haanshuus CG, Mørch K, Blomberg B, Strøm GEA, Langeland N, Hanevik K, et al. Assessment of malaria real-time PCR methods and application with focus on low-level parasitaemia. PLoS ONE. 2019;14:e0218982.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

Download references


We would like to thank Ethiopian Public Health institute for financial support. We would also like to thank the study participants and data collectors.


Funding for field data collection and training was provided by the Ethiopian Federal Ministry of Health.

Author information




MB, AdA, DN and MW contributed in conceptualization, design, and protocol development. MB, AdA and LN analysed data. MB and AdA optimized, performed laboratory tests and drafted the manuscript. MB, MW, DN, BG, LN, GT, AA, AW and AdA read and commented on the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Adugna Abera.

Ethics declarations

Ethics approval and consent to participants

The study protocol was reviewed and approved by the Ethiopian Public Health Institute -IRB Office, Addis Ababa, Ethiopia.

Consent for publication

All authors have read and agreed to publish this article.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Belachew, M., Wolde, M., Nega, D. et al. Evaluating performance of multiplex real time PCR for the diagnosis of malaria at elimination targeted low transmission settings of Ethiopia. Malar J 21, 9 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Malaria elimination
  • Multiplex real time PCR
  • Diagnostic performance