Skip to main content

Poor performance of malaria rapid diagnostic tests for the detection of Plasmodium malariae among returned international travellers in China



Malaria is a worldwide infectious disease. For countries that have achieved malaria elimination, the prevention of re-establishment due to infections in returned travellers has become important. The accurate and timely diagnosis of malaria is the key in preventing re-establishment, and malaria rapid diagnostic tests (RDTs) are frequently used due to their convenience. However, the RDT performance in Plasmodium malariae (P. malariae) infection diagnosis remains unknown.


This study analysed epidemiological features and diagnosis patterns of imported P. malariae cases from 2013 to 2020 in Jiangsu Province and evaluated the sensitivity of four parasite enzyme lactate dehydrogenase (pLDH)-targeting RDTs (Wondfo, SD BIONLINE, CareStart and BioPerfectus) and one aldolase-targeting RDT(BinaxNOW) for P. malariae detection. Furthermore, influential factors were investigated, including parasitaemia load, pLDH concentration and target gene polymorphisms.


The median duration from symptom onset to diagnosis among patients with P. malariae infection was 3 days, which was longer than that with Plasmodium falciparum (P. falciparum) infection. The RDTs had a low detection rate (39/69, 56.5%) among P. malariae cases. All tested RDT brands had poor performance in P. malariae detection. All the brands except the worst-performing SD BIOLINE, achieved 75% sensitivity only when the parasite density was higher than 5000 parasites/μL. Both pLDH and aldolase showed relatively conserved and low gene polymorphism rates.


The diagnosis of imported P. malariae cases was delayed. The RDTs had poor performance in P. malariae diagnosis and may threaten the prevention of malaria re-establishment from returned travellers. The improved RDTs or nucleic acid tests for P. malariae cases are urgently needed for the detection of imported cases in the future.


Each year, millions of malaria cases occur worldwide, especially in tropical and subtropical regions [1]. Plasmodium malariae is frequently coendemic with Plasmodium falciparum in sub-Saharan Africa, South America, Southeast Asia and the western Pacific [2]. The transmission strategy of P. malariae is different from that of P. falciparum. Plasmodium malariae can establish a large parasite reservoir in asymptomatic carriers with low parasitaemia. Although P. malariae infection is relatively mild compared with P. falciparum infection, it can develop into chronic nephrotic syndrome, which has a high rate of mortality [3].

With the development of international communication and cooperation, the increasing movement of the population between countries leads to a number of travel-related infections, and malaria is one of the main infections diagnosed in African countries and workers [4]. For countries where malaria has been eliminated, the risk of re-establishment via imported malaria cases in populations engaged in overseas work, business, tourism and so on, does exist [5]. For the prevention of re-establishment (POR), rapid and reliable diagnosis is required, and imported malaria cases continue to pose challenges for diagnosis and management in non-endemic countries. The ability to detect imported malaria cases has become the key issue in malaria prevention and control.

Microscopy and rapid diagnostic tests (RDTs) are recommended by the World Health Organization (WHO) for confirmation of diagnosis in suspected malaria patients [1]. Due to their simplicity, cost effectiveness and field readiness, RDTs can provide a quick diagnosis, especially in non-endemic countries where it is difficult to maintain microscopic capabilities and have few imported cases each year; accordingly, RDTs have been used increasingly frequently for malaria diagnosis [6]. However, the sensitivities of RDTs can vary, with unequal sensitivity for different Plasmodium species. Reported RDT sensitivity is generally good for P. falciparum, but only moderate for Plasmodium vivax (66.0–88.0%) [7]. Detection of P. malariae and Plasmodium ovale (P. ovale) using RDTs is less accurate and highly heterogeneous, mainly because of limited sample numbers [8]. Previous study indicated that RDTs had only 5.3–75.4% sensitivity for P.ovale, even when the parasitaemia load was larger than 500 parasites/µL [9]. For P. malariae, there are even fewer related studies and tested samples.

Considering past malaria epidemic patterns, whether RDTs are useful in diagnosing imported P. malariae cases is a major concern. In this study, the characteristics of imported P. malariae cases were analysed and the sensitivity of five RDTs in detecting P. malariae to identify the ideal diagnostic methods was evaluated, which can be applied in the POR of malaria. Moreover, the factors that influenced the results of RDTs in the detection of P. malariae were also investigated.


Epidemiological features of imported malaria cases

Imported malaria cases in China and Jiangsu Province from 2013 to 2020 were analysed. Information on national imported malaria cases was collected from previously published papers. Epidemiological data of imported P. malariae cases in Jiangsu Province were collected from the China Information System for Disease Control and Prevention (CISDCP).

The age, sex and origin country distributions of the reported imported malaria cases were collected and analysed, and the duration between patients’ return to China to symptom onset and symptom onset to first medical facility visit were analysed.

Testing procedures for imported malaria cases

Clinic attendees with fever symptoms were tested for malaria by either microscopy examination or a RDT; both methods were used in medical facilities at the county and above levels. Positive results were reported via the CISDCP within 24 h, and 5 ml venous whole blood was collected for further confirmation. The Center for Disease Control and Prevention in the county where the case was reported rechecked the slides sent by the medical facilities or analysed the collected venous blood sample. Finally, all the whole blood samples were sent to the provincial laboratory within 2 weeks, where all the samples underwent both microscopic examination and nucleic acid-based molecular testing (PCR) [10]. The samples were then kept at − 80 °C, avoiding repeated frozen-thawing.

Samples collection from P. malariae cases

The patients included international travellers and those who worked abroad from 2013 to 2017. Blood samples were collected from malaria patients at local designated hospitals and health centres in Jiangsu Province. Five millilitres of venous blood was collected by venepuncture into an EDTA tube. The collected blood samples were preserved at 4 °C and transported to a provincial malaria diagnostic reference laboratory for reconfirmation. Only P. malariae-positive blood samples, confirmed both by microscopy and a nested PCR assay, were included in the study; mixed infection samples were excluded [11].

Microscopic examination and parasite density determination

The peripheral blood of patients was prepared as thick and thin films. Both smears were stained with 3% Giemsa for 30 min at room temperature. All slides were read under100x oil immersion. Thick films were used for counting parasites. Leucocytes, regarded as 8000/µL, and parasites were used to determine the parasite density [12]. All of the slides were examined by two microscopists, and the results were averaged.

RDTs for P. malariae detection

Five RDTs were evaluated: Wondfo Diagnostic Kit for Malaria (Pf/Pan) (colloidal gold)(Guangzhou Wondfo Biotech Co., Ltd. lot W05481203), SD BIOLINE Malaria Ag Pf/Pan (Standard Diagnostic Inc. Product code 05FK60 lot 05EDC028A), CareStart Malaria Pf/PAN (HRP2/pLDH) Ag Combo RDT (Access Bio, Inc. Product code RMRM-02571 lot MR17M61),BioPerfectus diagnostic kit for malaria (Jiangsu BioPerfectus Technologies Co., Ltd. lot 20180903), and BinaxNOW (Alere Scarborough, Inc. Product code #660-000 lot 097756). The first four brands target Pan-LDH to detect Plasmodium spp. BinaxNOW targets Pan-aldolase to detect Plasmodium spp. The stored frozen samples were used. Each blood sample was tested by all the five RDTs, with some exceptions due to limited sample volumes. All of the detection procedures followed the manufacturers’ instructions.

Assessment of pLDH levels in P. malariae samples

A quantimal pLDH CELISA kit (Cellabs Pty Ltd, Australia, Product code KM7, lot MPMW26) was used to quantify the density of pLDH in malarial blood samples. The detection principal is sandwich ELISA. The kit uses anti-pLDH capture antibody precoated microwells to bind pLDH in the samples to all Plasmodium spp. Then, a labelled anti-pLDH antibody is bound to the complex, allowing a chromogenic reaction. As soon as the stopping solution is added, the colour intensity is proportional to the concentration of pLDH in the sample. Forty-five P. malariae samples were tested in this study. All procedures followed the kits’ instructions. The results were read with a spectrophotometer at 450 nm/620 nm.

Plasmodium malariae LDH and aldolase gene sequencing

Genomic DNA was extracted from 200 µL blood samples with a QIAmp Blood Mini Kit (QIAGEN) according to the manufacturer’s instructions. The P. malariae aldolase gene was amplified using primers ALf (5′-CAGGCATCAAGCGCAGACTA-3′) and ALr (5′-TAAAGCCCATGGGTGAGGTC-3′) [13], while the P. malariae LDH gene was amplified using primers LDHf (5'-ACTTTACAGCCGCCCATTCC-3') and LDHr (5′-CCTTCATTCTCTTCGTTTCAGCA-3′) [14]. Conventional PCRs were conducted in 20 µl volumes with a KOD-401 kit. The products were sequenced by Shanghai exsyn-bio Technology Co., Ltd., and the sequence results were analysed with MEGAX.

Statistical analysis

All the results were analysed using SPSS 19.0 and GraphPad Prism 8.3.0. Mann–Whitney test was used to analyse the variance of epidemiological data. The sensitivity of each brand as well as the sensitivity of each brand at different parasite density levels were assessed. The sensitivities of the 4 LDH-targeting brands at different pLDH concentration levels were calculated. Uncertainty was interpreted with 95% confidence intervals (CIs). Categorical variables were determined by Chi-squared tests. Fisher’s exact correction was applied when the expected frequency in the cell was 5 or less. Pearson’s correlation analysis was used to analyse correlation between parasite density and pLDH OD level. All the p value < 0.05 were considered as significant.


Delayed diagnosis and misdiagnosis of imported P. malariae cases

From 2013 to 2020, 505 imported P. malariae cases at the national level in China and 85 cases in Jiangsu Province were diagnosed. During the 8-year period, there was a general increase in the number of P. malariae cases at the national level, from 51 cases in 2013 to 97 cases in 2019. Due to the decreased travel caused by coronavirus disease 2019 (COVID-19), the number of imported P. malariae cases in China decreased to 22. Among these, there were more than 10 imported P. malariae cases nearly every year in Jiangsu Province from 2013 to 2019 (Fig. 1a, b) [15,16,17,18,19,20].

Fig. 1
figure 1

Number of imported malaria cases in China. a Number of imported malaria cases in China, 2013–2020, b Number of imported P. malariae cases in China, 2013–2020

The majority of P. malariae infection patients in 2013–2020 in Jiangsu Province were males (66/69, 95.7%) and aged 41–50 years (31/69, 44.9%). All of the cases originated from Africa, among which Angola accounted for the most cases (19/69, 27.5%), followed by Equatorial Guinea (15/69, 21.7%) and Nigeria (6/69, 8.7%) (Table 1). The duration from symptom onset to P. malariae diagnosis was different from that to P. falciparum diagnosis (U = 47024, P = 0.0015 < 0.05), and the median for P. malariae was 3 days (interquartile range, IQR: 1–9), which was longer than 2 days (IQR: 1–4) for P. falciparum (Fig. 2). The duration from returning from a malaria-endemic country to the onset of malaria symptoms was more than 50 days in 17 cases (24.6%, 17/69), among which 6(8.7%) had durations of more than 100 days. The median duration from symptom onset to the first medical facility visit was 2 days (IQR: 0–4). The median time for medical facility to make medical diagnosis was 0 days (IQR: 0–1). Sixty-one percent (42/69) of the patients were diagnosed at the first medical facility visit, 24.6% (17/69) were diagnosed 3 days later, and 14.5% (10/69) were diagnosed more than 3 days later. The longest diagnosis time was 27 days.

Table 1 The characteristics of imported P. malariae cases in Jiangsu Province, China, 2013–2020
Fig. 2
figure 2

Comparison of the time from symptom onset to diagnosis in Jiangsu Province, 2013–2020. The middle line of each violin plot represents the median, while the dotted line represents the interquartile range. The black dots represent individual cases

All 69 P. malariae cases were detected at and reported by county- or above-level facilities, and both microscopic examinations and RDTs were used. However, among the analysed cases, 30 of 69 cases (43.5%) were misdiagnosed as negative via RDTs (Wondfo Diagnostic Kit for Malaria (Pf/Pan) (colloidal gold)) at the county level which exhibited a relatively low detection rate.

Poor performance of the five RDTs in P. malariae detection

In total, 45 P. malariae monoinfection cases from 2013 to 2017 were included in the study. The performances of the five RDTs (Wondfo, SD BIOLINE, CareStart, BinaxNow, BioPerfectus) were compared with regard to P. malariae detection. Each sample was tested using all five brands, with some exceptions due to limited sample volumes. The results indicated that CareStart test had the highest sensitivity, at 72.7% (95% CI 59.0–86.4%), while the SD BIOLINE test had the lowest sensitivity, at 13.3% (95% CI 3.0–23.7%) (Table 2). Overall, all five RDTs exhibited relatively low sensitivity for the detection of P. malariae.

Table 2 Sensitivities of the five RDTs for the detection of P. malariae monoinfection

Poor performance of the five RDTs in patients with low parasitaemia

Each RDT result was evaluated according to the parasitaemia load of the samples. According to the parasite density, samples were divided into 3 groups (≤ 1000, 1001–5000 and ≥ 5001 parasites/µL). Sensitivity was calculated based on the performance of each brand in each group. The Wondfo, CareStart, BinaxNOW and BioPerfectus tests had sensitivities of 75%, 83.3%, 83.3% and 75%, respectively, when parasite densities were higher than 5000 parasites/µL. The categorical variable parasite densities were analysed and showed a result of no significance (Fisher’s exact = 2.00, P = 0.36 for Wondfo; Fisher’s exact = 1.01, P = 0.67 for CareStart; Fisher’s exact = 5.54, P = 0.06 for BinaxNOW; Fisher’s exact = 27.50, P = 0.263 for BioPerfectus). The SD BIOLINE test had only 41.7% sensitivity, even at parasite densities above 5001 parasites/μL (Table 3). The categorical variable analysis showed significance (Fisher’s exact = 8.43, P < 0.05). All four RDTs exhibited poor performance (sensitivities from 33.3 to 66.7%) when parasite density was low (≤ 1000 parasites/μL), while the SD BIOLINE test could not detect any P. malariae when the parasite density was lower than 1000 parasites/μL (Table 3).

Table 3 Comparison of the five RDTs for the detection of P.malariae categorized by parasite density

Poor performance of the four LDH-targeting RDTs under low-pLDH concentration conditions

The pLDH concentrations in the samples were quantified through ELISA test. The results were presented as optical density (OD) values. To correlate pLDH concentrations with the sensitivities of the four pLDH-based RDTs, 45 samples were divided into three groups (≤ 0.150, 0.151–1.500 and ≥ 1.501) according to their pLDH concentrations (Table 4). When the OD value of the pLDH concentration reached 1.5, the Wondfo, CareStart and BioPerfectus tests had 100% sensitivity. The SD BIOLINE test had a much lower sensitivity (27.3%), even when the pLDH concentration was over 1.5 (Table 4). The categorical variable pLDH concentrations were analysed and showed a result of significance (Fisher’s exact = 39.04, P < 0.05 for Wondfo; Fisher’s exact = 33.06, P < 0.05 for CareStart; Fisher’s exact = 39.04, P < 0.05 for BioPerfectus; Fisher’s exact = 5.36, P < 0.05 for SD BIOLINE).

Table 4 Comparison of the four RDTs for the detection of P. malariae categorized by pLDH concentration

A moderate correlation between the pLDH concentration and parasitaemia load

The correlation between pLDH concentration and parasite density was evaluated to assess whether the pLDH concentrations in samples were associated with the samples’ parasite densities (Fig. 3). The r value was 0.551 (P < 0.0001), which represents a moderate correlation between the two factors.

Fig. 3
figure 3

Correlation between parasite density and pLDH concentration among samples

Relatively conserved pLDH and aldolase sequences among P. malariae samples

pLDH and aldolase sequences from samples were obtained, and the results were analysed with MEGAX. Amplification failed in some low-parasitaemia samples. However, the PCR products of the P. malariae LDH gene from 39 samples yielded 982 base pairs, and the P. malariae aldolase fragments from 39 samples yielded 912 base pairs. No nucleotide substitutions were observed in the LDH gene of P. malariae compared to the reference sequence (NCBI Reference Sequence: XM_029006607.1). Three nucleotide substitutions were observed in the aldolase gene of P. malariae compared to the reference sequence (NCBI Reference Sequence: XM_029006963.1). Among the substitutions, 2 were synonymous mutations, and 1 was a nonsynonymous substitute with T681A in 4 samples.


There have been thousands of imported malaria cases annually since 2013 in China; P. malariae cases have been imported every year and have shown an increasing trend in recent years. The imported P. malariae cases all originated from Africa and mainly occurred in males, which coincided with previous findings that most of the imported malaria cases in China occurred in workers returning from Africa and other malaria-endemic areas [21]. These P. malariae cases had longer durations from symptom onset to diagnosis than falciparum cases. These findings may attract attention because the longer the time for patients to be diagnosed after symptom onset is, the higher the risk of severe symptoms is. It also increases the risk of introducing malaria locally, posing a challenge in the prevention of malaria re-establishment.

The WHO recommends that all suspected malaria cases receive parasitological confirmation before drugs administered. Microscopic examination used to be the most popular detection method for malaria parasites. In recent years, RDTs have been recommended by the WHO to assist in the rapid and accurate diagnosis of malaria and have been gradually increasingly applied, especially in the preliminary screening of suspected cases. It could be predicted that in non-endemic areas, which may face challenges in maintaining microscopic examination capability, RDTs will be used more widely and even replace microscopic examinations at the local level. However, according to the 69 analysed P. malariae cases, the false-negative rate of RDTs was 43.5% at the local level. All five RDTs we tested showed poor performance for P. malariae detection, with relatively low sensitivity. To date, the WHO has not recommended criteria for P. malariae testing. Moreover, by using the same sensitivity thresholds for determining whether a RDT adequate detects P. falciparum and P. vivax, all the tested RDT sensitivities in this study for P. malariae are inadequate.

In this study, the sensitivity of Wondfo, CareStart, BinaxNOW and BioPerfectus tests were not statistically increased with an increasing parasite density. All of the tests reached more than 70% once the parasite density was more than 5001 parasites/µL, with the exception of the SD BIOLINE test. The four (excluding the BinaxNOW test, which targets Pan-aldolase) Pan-LDH-targeting tests had a different sensitivity with an increasing concentration of pLDH. The sensitivities of all the tests except the SD BIOLINE test reached 100% once the concentration of pLDH was more than 1.50 OD. However, a higher parasitaemia load was not correlated with a higher pLDH concentration; only a moderate correlation was observed between the pLDH concentration and parasite density in the P. malariae blood samples, and similar results were also observed in P. vivax and P. ovale samples and in the rodent model for malaria [9, 22, 23]. In this study, to avoid potential effects of blood sample storage, all blood samples collected in either clinics or hospitals were transported to the provincial laboratory as quickly as possible after species confirmation. Since the blood samples from P. malariae infection patients might have contained parasites at different developmental stages, the pLDH concentration instability during the metabolic process in Plasmodium parasites may have been the reason for the moderate correlation [22, 24, 25]. The frozen-thawing process of the blood samples may also affect the stability of pLDH, though there are limited literatures on this topic. Only one non-synonymous substitution (T681A) in the tested samples was detected in the aldolase gene sequences, and no nucleotide substitutions were observed in the LDH gene. Both exhibited a relatively conserved and low gene polymorphism rate, suggesting that other reasons may contribute to the poor performance of the five RDTs in P. malariae detection.

China was officially awarded the national malaria-free certification from the WHO on June 30, 2021. However, the risk of the re-establishment of malaria from imported cases remains a concern due to increasing international trade and global exchanges [26]. Historically, there were many P. malariae-endemic areas with thousands of cases annually, Jiangsu Province included [27]. Although the goal of malaria elimination has been achieved in China, suitable transmission vectors are still widely distributed throughout the country. As a result, P. malariae cases among travellers without early diagnosis and appropriate treatment influence the risk of re-establishment, which has been observed in many other countries where malaria has been eliminated for many years such as Armenia [28]. In addition, although P. malariae usually causes less severe disease in humans than other forms of malaria, it can still cause chronic nephrotic syndrome, which may lead to death [29, 30]. Unfortunately, all five commonly used RDTs cannot detect P. malariae cases efficiently and accurately, which increases the risk of severe symptoms and introduced malaria, posing a challenge to the malaria re-establishment prevention.

Furthermore, for countries in Africa, southeast Asia and other regions with P. malariae endemic situation, inefficient and inaccurate RDTs may increase the missed or delayed diagnosis on P. malariae, which leads to the adverse clinic consequences even the secondary transmission. Therefore, the diagnosis of P. malariae cases must attract more attention, and more advanced RDT products or other methods, such as nucleic acid-based molecular tests, should be developed and adopted to overcome this problem.

Availability of data and materials

All data generated or analysed during this study are included in this published article.


  1. WHO. World malaria report 2020: 20 years of global progress and challenges. Geneva: World Health Organization; 2020. p. 2020.

    Google Scholar 

  2. Collins WE, Jeffery GM. Plasmodium malariae: parasite and disease. Clin Microbiol Rev. 2007;20:579–92.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Eiam-Ong S. Malarial nephropathy. Semin Nephrol. 2003;23:21–33.

    Article  PubMed  Google Scholar 

  4. Wu Y, Liu MY, Wang JL, Zhang HY, Sun Y, Yuan Y, et al. Epidemiology of imported infectious diseases, China, 2014–18. J Travel Med. 2020;27:taaa211.

    Article  PubMed  Google Scholar 

  5. Chen J, Bergquist R, Zhou XN, Xue JB, Quan MB. Combating infectious disease epidemics through China’s Belt and Road Initiative. PLoS Negl Trop Dis. 2019;13:e0007107.

    Article  PubMed  PubMed Central  Google Scholar 

  6. WHO. Malaria rapic diagnostic test performance: results of WHO product testing of malaria RDTs: Round 8 (2016–2018). Geneva: World Health Organization; 2018.

    Google Scholar 

  7. Maltha J, Gillet P, Jacobs J. Malaria rapid diagnostic tests in travel medicine. Clin Microbiol Infect. 2013;19:408–15.

    Article  CAS  PubMed  Google Scholar 

  8. Yerlikaya S, Campillo A, Gonzalez I. A systematic review: performance of rapid diagnostic tests for the detection of Plasmodium knowlesi, Plasmodium malariae, and Plasmodium ovale monoinfections in human blood. J Infect Dis. 2018;218:265–76.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Tang J, Tang F, Zhu H, Lu F, Xu S, Cao Y, et al. Assessment of false negative rates of lactate dehydrogenase-based malaria rapid diagnostic tests for Plasmodium ovale detection. PLoS Negl Trop Dis. 2019;13:e0007254.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Cao J, Sturrock HJ, Cotter C, Zhou S, Zhou H, Liu Y, et al. Communicating and monitoring surveillance and response activities for malaria elimination: China’s “1-3-7” strategy. PLoS Med. 2014;11:e1001642.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Snounou G, Singh B. Nested PCR analysis of Plasmodium parasites. Methods Mol Med. 2002;72:189–203.

    CAS  PubMed  Google Scholar 

  12. WHO. World Health Organization. Basic Malaria Microscopy-Part I. Learner’s Guide. 2nd ed. Geneva: World Health Organization; 2010.

    Google Scholar 

  13. Lee N, Baker J, Bell D, McCarthy J, Cheng Q. Assessing the genetic diversity of the aldolase genes of Plasmodium falciparum and Plasmodium vivax and its potential effect on performance of aldolase-detecting rapid diagnostic tests. J Clin Microbiol. 2006;44:4547–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Brown WM, Yowell CA, Hoard A, Jagt T, Jagt DLV. Comparative structural analysis and kinetic properties of lactate dehydrogenases from the four species of human malarial parasites. Biochemistry. 2004;43:6219–29.

    Article  CAS  PubMed  Google Scholar 

  15. Zhang L, Feng J, Zhang SS, Jiang S, Xia ZG, Zhou SS. [Malaria situation in the People’s Republic of China in 2016] (in Chinese). Chin J Parasitol Parasit Dis. 2016;34:477–8.

    CAS  Google Scholar 

  16. Zhang L, Feng J, Zhang SS, Xia ZG, Zhou SS. [The progress of national malaria elimination and epidemiological characteristics of malaria in China in 2017] (in Chinese). Chin J Parasitol Parasit Dis. 2018;36:201–9.

    Google Scholar 

  17. Zhang L, Feng J, Zhang SS, Xia ZG, Zhou SS. [Epidemiological characteristics of malaria and the progress towards its elimination in China in 2018] (in Chinese). Chin J Parasitol Parasit Dis. 2019;37:241–7.

    Google Scholar 

  18. Zhang L, Feng J, Xia Z-G, Zhou SS. [Epidemiological characteristics of malaria and progress on its elimination in China in 2019] (in Chinese). Chin J Parasitol Parasit Dis. 2020;38:133–8.

    CAS  Google Scholar 

  19. Tu H, Yin J-H, Feng J, Zhang L, Xia Z-G. [Malaria epidemiology in China in 2020] (in Chinese). Chin J Parasitol Parasit Dis. 2021;39:195–9.

    Google Scholar 

  20. Feng J, Zhang L, Zhang S, Xia Z, Zhou S. Malaria epidemiological characteristics in China, 2005–2015. Chin Trop Med. 2017;17:325–35.

    Google Scholar 

  21. Liu Y, Hsiang M, Zhou H, Wang W, Cao Y, Gosling RD. Malaria in overseas labourers returning to China: an analysis of imported malaria in Jiangsu Province, 2001–2011. Malar J. 2014;13:29.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Jang JW, Cho CH, Han ET, An SS, Lim CS. pLDH level of clinically isolated Plasmodium vivax and detection limit of pLDH based malaria rapid diagnostic test. Malar J. 2013;12:181.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. De SL, Stanisic DI, Rivera F, Batzloff MR, Engwerda C, Good MF. Plasmodium berghei bio-burden correlates with parasite lactate dehydrogenase: application to murine Plasmodium diagnostics. Malar J. 2016;15:3.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Fogg C, Twesigye R, Batwala V, Piola P, Nabasumba C, Kiguli J, et al. Assessment of three new parasite lactate dehydrogenase (pan-pLDH) tests for diagnosis of uncomplicated malaria. Trans R Soc Trop Med Hyg. 2008;102:25–31.

    Article  PubMed  Google Scholar 

  25. Gerstl S, Dunkley S, Mukhtar A, De Smet M, Baker S, Maikere J. Assessment of two malaria rapid diagnostic tests in children under five years of age, with follow-up of false-positive pLDH test results, in a hyperendemic falciparum malaria area. Sierra Leone Malar J. 2010;9:28.

    PubMed  Google Scholar 

  26. WHO. From 30 million cases to zero: China is certified malaria-free by WHO. Geneva, World Health Organization, 2021. Accessed 10 Jan 2023.

  27. Hua-Yun Z, Jun C, Guo-Ding Z, Wei-Ming W, Yuan-Yuan C, Ya-Ping G, et al. [Progress of malaria elimination of Jiangsu Province, China] (in Chinese). Chin J Schistosomiasis Control. 2018;30(364–8):95.

    Google Scholar 

  28. Avetisyan LM. Re-emergence of malaria in Armenia and vector control interventions. J Health Sci Manag Public Health. 2004;2:138–46.

    Google Scholar 

  29. Ehrich JH, Eke FU. Malaria-induced renal damage: facts and myths. Pediatr Nephrol. 2007;22:626–37.

    Article  PubMed  Google Scholar 

  30. Roucher C, Rogier C, Sokhna C, Tall A, Trape JF. A 20-year longitudinal study of Plasmodium ovale and Plasmodium malariae prevalence and morbidity in a West African population. PLoS ONE. 2014;9:e87169.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


The authors thank the staff from the local Center for Disease Control and Prevention in Jiangsu Province for their assistance with sample collection.


This study was supported by National Key R&D Program of China (No. 2020YFC1200105), and Jiangsu Provincial Project of Invigorating Health Care through Science, Technology and Education. The sponsors of the study had no role in the study design, data collection, data analysis, interpretation or writing of the manuscript.

Author information

Authors and Affiliations



JC, JT and GZ conceived and designed the study; JW and GC performed the experiments and data analysis; YC and WW contributed to epidemiological data analysis; XH, SX and YG contributed to data collection and processing; JW wrote the manuscript; and JT revised it. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Guoding Zhu or Jun Cao.

Ethics declarations

Ethics approval and consent to participate

Ethical approval was obtained from Institutional Ethics Committee of Jiangsu Institute of Parasitic Diseases (JIPD).

Competing interests

All the authors declare 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

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, J., Tang, J., Wang, W. et al. Poor performance of malaria rapid diagnostic tests for the detection of Plasmodium malariae among returned international travellers in China. Malar J 22, 163 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: