• Loading metrics

Laboratory challenges of Plasmodium species identification in Aceh Province, Indonesia, a malaria elimination setting with newly discovered P. knowlesi

  • Farah N. Coutrier ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft,

    Affiliation Malaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia

  • Yusrifar K. Tirta,

    Roles Data curation, Investigation, Validation

    Affiliation Malaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia

  • Chris Cotter,

    Roles Funding acquisition, Project administration, Writing – review & editing

    Affiliation Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, San Francisco, California, United States of America

  • Iska Zarlinda,

    Roles Data curation, Investigation, Project administration, Supervision

    Affiliation Malaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia

  • Iveth J. González,

    Roles Resources, Writing – review & editing

    Affiliation Foundation for Innovative New Diagnostics, Geneva, Switzerland

  • Alanna Schwartz,

    Roles Methodology, Project administration

    Affiliation Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America

  • Cut Maneh,

    Roles Resources, Supervision

    Affiliation Unit Pelaksana Teknis Dinas Laboratorium Kesehatan Daerah, Banda Aceh, Indonesia

  • Jutta Marfurt,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation Menzies School of Health Research, Darwin, Australia

  • Maxwell Murphy,

    Roles Methodology, Project administration

    Affiliation Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America

  • Herdiana Herdiana,

    Roles Project administration, Writing – review & editing

    Affiliations Paritrana Asia Foundation, Jakarta, Indonesia, United Nations Children’s Fund, Aceh Field Office, Banda Aceh, Indonesia

  • Nicholas M. Anstey,

    Roles Resources, Writing – review & editing

    Affiliation Menzies School of Health Research, Darwin, Australia

  • Bryan Greenhouse,

    Roles Formal analysis, Methodology, Resources, Writing – review & editing

    Affiliation Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America

  • Michelle S. Hsiang ,

    Contributed equally to this work with: Michelle S. Hsiang, Rintis Noviyanti

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft

    Affiliations Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, San Francisco, California, United States of America, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, Department of Pediatrics, University of California, San Francisco, Benioff Children’s Hospital, San Francisco, California, United States of America

  • Rintis Noviyanti

    Contributed equally to this work with: Michelle S. Hsiang, Rintis Noviyanti

    Roles Conceptualization, Formal analysis, Methodology, Resources, Supervision, Writing – original draft

    Affiliation Malaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia

Laboratory challenges of Plasmodium species identification in Aceh Province, Indonesia, a malaria elimination setting with newly discovered P. knowlesi

  • Farah N. Coutrier, 
  • Yusrifar K. Tirta, 
  • Chris Cotter, 
  • Iska Zarlinda, 
  • Iveth J. González, 
  • Alanna Schwartz, 
  • Cut Maneh, 
  • Jutta Marfurt, 
  • Maxwell Murphy, 
  • Herdiana Herdiana

This is an uncorrected proof.


The discovery of the life-threatening zoonotic infection Plasmodium knowlesi has added to the challenges of prompt and accurate malaria diagnosis and surveillance. In this study from Aceh Province, Indonesia, a malaria elimination setting where P. knowlesi endemicity was not previously known, we report the laboratory investigation and difficulties encountered when using molecular detection methods for quality assurance of microscopically identified clinical cases. From 2014 to 2015, 20 (49%) P. falciparum, 16 (39%) P. vivax, 3 (7%) P. malariae, and 2 (5%) indeterminate species were identified by microscopy from four sentinel health facilities. At a provincial-level reference laboratory, loop-mediated isothermal amplification (LAMP), a field-friendly molecular method, was performed and confirmed Plasmodium in all samples though further species-identification was limited by the unavailability of non-falciparum species-specific testing with the platform used. At a national reference laboratory, several molecular methods including nested PCR (nPCR) targeting the 18 small sub-unit (18S) ribosomal RNA, nPCR targeting the cytochrome-b (cytb) gene, a P. knowlesi-specific nPCR, and finally sequencing, were necessary to ultimately classify the samples as: 19 (46%) P. knowlesi, 8 (20%) P. falciparum, 14 (34%) P. vivax. Microscopy was unable to identify or mis-classified up to 56% of confirmed cases, including all cases of P. knowlesi. With the nPCR methods targeting the four human-only species, P. knowlesi was missed (18S rRNA method) or showed cross-reactivity for P. vivax (cytb method). To facilitate diagnosis and management of potentially fatal P. knowlesi infection and surveillance for elimination of human-only malaria in Indonesia and other affected settings, new detection methods are needed for testing at the point-of-care and in local reference laboratories.

Author summary

In Southeast Asia, Plasmodium knowlesi, a malaria parasite of macaques, was recently discovered to infect humans. This emerging disease is important because it has potential for causing severe disease and death, and it is a threat to malaria elimination efforts in the region. In this report from Aceh Province, Indonesia, where P. knowlesi was only recently discovered, the authors report on the laboratory challenges of distinguishing this species from other human species. Using several different molecular methods, they investigated 41 malaria cases which by microscopy, were initially reported as: P. falciparum (49%), P. vivax (39%), P. malariae (7%), and indeterminate (5%). Only after using a P. knowlesi-specific nPCR method and sequencing, did they find that nearly half were P. knowlesi. Consistent with a sparse literature, a field-friendly molecular method (genus-specific LAMP) reliably detected P. knowlesi, while use of a more standard reference laboratory molecular method (18S rRNA nPCR targeting the four human-only species) missed the infections. Also another reference laboratory molecular method (cytb nPCR) mis-classified P. knowlesi infections as P. vivax due to cross-reactivity. To address the emerging threat of P. knowlesi, new detection methods are needed for point-of-care and reference testing.


Plasmodium knowlesi is a newly emergent zoonotic human malaria species previously thought to only infect macaques. Since the first report of a human case from Peninsular Malaysia in 1965 [1] and the large cluster of human knowlesi malaria in Sarawak in 2004 [2], endemic cases have been reported from other Asian countries including Brunei, Cambodia, India, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam, Indonesian Borneo [35], and more recently Sumatra Island [6, 7].

The identification of P. knowlesi infection is important for clinical and public health reasons. Infection in humans is most often uncomplicated, but 6–9% of symptomatic patients develop severe malaria and 0.3–1.8% of cases die [810]. Fatal outcomes have been associated with misdiagnosis of parasite species by microscopy, resulting in delays in appropriate management [11, 12]. From a public health perspective, malaria control programs aim to decrease morbidity and mortality from all Plasmodium species affecting humans. As P. knowlesi infection is associated with a number of different risk factors than infections caused by other Plasmodium species [6, 13] (e.g. forest-related exposures), it may require different interventions. For subnational and national areas aiming to achieve and maintain malaria elimination, or the interruption of local transmission of human-only species, as is the goal in Indonesia, accurate species identification is critical.

In most of Asia, microscopy is the standard for malaria diagnosis and surveillance. However microscopy has recognized limitations in diagnostic accuracy and species identification [14]. For P. knowlesi specifically, different asexual blood stages can resemble P. falciparum and P. malariae, and in routine practice it is misidentified as all human-only species [15]. Therefore, a variety of PCR methods have been utilized to distinguish P. knowlesi from other Plasmodium species [16, 17]. With its simpler requirements and faster turnaround time, loop mediated isothermal amplification (LAMP), another nucleic acid-based detection method, may be a more practical alternative in resource-limited field settings [1820]. However, the relative benefits and limitations of LAMP and the various other PCR methods are not clear, particularly for field settings.

To support malaria elimination efforts in Aceh Province, Indonesia, a pre-elimination area with known endemicity of P. vivax and P. falciparum, we introduced the use of molecular detection for quality assurance of microscopy-identified cases from health facilities by establishing LAMP testing at the provincial level reference laboratory. As previously reported, the finding of indeterminate species triggered further molecular testing that led to the first reported finding of P. knowlesi in Indonesia outside of Borneo [6]. Epidemiological investigation revealed that P. knowlesi infection was associated with forest exposures, particularly overnight stays due to work [6].

In this study, we present the laboratory details of this real-world investigation whereby the use of serial molecular detection methods including LAMP, two nPCR methods, P. knowlesi-specific nPCR, and sequencing led to the identification and confirmation of P. knowlesi infection. Challenges encountered in this experience have relevance to malaria diagnosis and surveillance in other settings where P. knowlesi may be present and can inform research and development of improved P. knowlesi detection methods.

Materials and methods

Study site and patient enrollment

The study was conducted in Aceh Besar District, Aceh Province, Sumatra island, Indonesia, a low-transmission setting that aims to eliminate malaria by 2020. The 2013 incidence of malaria was 0.4/1000, and 68 (39%) of cases were reported as P. vivax, 71 (41%) as P. falciparum, and the remaining 34 unspecified or mixed P. falciparum/P. vivax [6]. The sentinel sites included five primary health centers that reported 78% of all cases reported in Aceh Besar in 2013. During the study period June 2014 to December 2015, 41 patients were diagnosed with microscopy-confirmed malaria and recruited for enrolment. This number of cases was a convenience sample from an umbrella study where health facility-identified cases triggered active case finding in villages [6].

After written consent was obtained and prior to treatment, venous blood was collected and partly used to prepare dried blood spots (DBS) using Whatman 3MM paper. DBS along with remaining whole blood were initially stored at 4°C, transferred to -20°C within a week of collection, and then stored at -80°C. Antimalarial treatment was based on microscopy results and according to Indonesian government’s national policy.

Ethical approval

Ethical approval for the study was obtained from the National Institute of Health, Research and Development of the Indonesian Ministry of Health (number LB.02.01/5.2/KE.111/2014 and LB.02.01/5.2/KE.211/2015) and IRB Committee of the University of California, San Francisco. Written informed consent was obtained from all adults or a parent or guardian for participants less than 18 years of age.

Laboratory methods

For quality assurance of microscopy performed at health centers, blood smears were re-read by certified microscopists at the provincial laboratory according to national guidelines. For further quality assurance at the provincial-level, LAMP was selected due to its field-friendly platform. Initial extraction of DNA and LAMP testing were performed at the provincial laboratory. DNA was extracted from DBS using the Saponin/Chelex method [21]. Pan-LAMP testing followed by Pf-LAMP specific testing for Pan-LAMP positive samples was also performed using the commercially available Loopamp MALARIA Pan/Pf detection kit in accordance to manufacturer’s instructions (EIKEN Chemical, Co., Ltd., Japan). Species identification for non-falciparum species was not available with this LAMP platform, but this was not anticipated to be a problem because Aceh was considered to be endemic for only P. falciparum and P. vivax malaria before the study was launched [22]. As such, Pan-LAMP positive, Pf-LAMP negative samples were expected to be P. vivax.

Further molecular testing was performed at the Malaria Pathogenesis laboratory at the Eijkman Institute in Jakarta, using chelex-extracted DNA from a second DBS. Genus-specific PCR targeting the mitochondrial cytb gene followed by AluI enzyme digestion for species identification of the four main human species was used initially, as previously described [23]. After a report of indeterminate species and suspicion of P. knowlesi by a field microscopist, as well as limited data on the performance of the cytb nPCR method for detection of P. knowlesi, additional methods were employed including nPCR testing targeting the 18S rRNA gene for the four human-only species [24], and P. knowlesi-specific nPCR [16] for all samples. For a proportion of samples testing positive by P. knowlesi specific nPCR, DNA was extracted from whole blood using the QIAamp DNA Mini kit (Qiagen, CA) and Sanger targeted genome sequencing [25] was performed (Eijkman Institute Sequencing Facility). To prevent DNA contamination, all extractions were performed in rooms separate from where amplification was conducted. Extracted DNA was stored at -20°C.

Data analysis

Results from microscopy and each molecular method were compared to a gold standard established through serial molecular testing: P. falciparum and P. vivax classification were based on species-specific positivity by both cytb and 18S rRNA nPCR, and P. knowlesi classification was based on genus-specific PCR positivity by both cytb and 18S rRNA nPCR and P. knowlesi-specific nPCR positivity. With regards to diagnostic performance for species identification, we were not able to calculate sensitivity, specificity, or negative predictive value (NPV) due to having not included a representative sample of microscopy-negative infections. However, positive predictive values (PPV) were calculated.


Enrollment and microscopy results

From June 2014 to December 2015, 41 malaria cases were included in the study analysis. Forty-two were initially identified from the sentinel health facilities by microscopy and confirmed by cross-checking at the provincial laboratory, but one case (P. vivax by microscopy) was excluded as the DBS had insufficient blood for subsequent molecular testing. The 41 cases included: 20 P. falciparum (49%), 16 P. vivax (39%), 3 P. malariae (7%), and 2 with indeterminate morphology (5%) (Table 1). Parasite density ranged from 66 to 355,400 parasite/μL blood. The median and range of parasite density (in brackets) for microscopy-diagnosed P. falciparum, P. vivax and P. malariae were 5,447 (66 to 54,970), 32,157 (703 to 355,400) and 3,842 (1,760 to 7,133). The parasite densities of the indeterminate samples were 803 and 1,473, respectively. Microphotography of the indeterminate samples showed resemblance to other species (Fig 1).

Fig 1. Microscopy images from samples initially classified as indeterminate but later confirmed to be P. knowlesi.

(a) early trophozoite resembling P. falciparum; (b) trophozoite resembling P. vivax; (c and d) late trophozoite resembling P. malariae; (e) multi-nucleated schizont and (f) gametocyte resembling P. falciparum.

Table 1. Species classification of microscopy-positive samples by loop mediated isothermal amplification (LAMP), cytb nPCR, 18S rRNA nPCR, Plasmodium knowlesi-specific nPCR, and the serial molecular testing as gold standard.

Molecular testing results

Genus-specific Pan-LAMP testing at the provincial laboratory was positive in all 41 isolates (examples in Fig 2), and 8 tested positive by Pf-LAMP testing (Table 1). By cytb PCR genus-specific testing and using the AluI restriction digest reaction for species identification, 8 (19.5%) were classified as P. falciparum, 33 (80.5%) as P. vivax. By 18S rRNA nPCR, there were 8 P. falciparum (19.5%), 14 P. vivax (34.1%), and 19 (46.3%) did not amplify. P. knowlesi-specific nPCR was positive in 19/41 (46.3%), of which 11 underwent sequencing and showed 100% identity to a published P. knowlesi 18S rRNA gene sequence (P. knowlesi strain H1 chromosome 3, GenBank accession number AM910985).

Fig 2. Loop mediated isothermal amplification (LAMP) detection of malaria.

Pan-LAMP accurately identified malaria positive samples, later confirmed as P. vivax (tube 1) and P. knowlesi (tube 6).

Mis-classification or missing species identification

Microscopy was unable to classify or mis-classified 23 of 41 (56%) malaria cases confirmed by the gold standard of serial molecular testing (Table 1). These included all 19 P. knowlesi cases, of which 17 were mis-classified as P. falciparum (n = 8), P. vivax (n = 6), or P. malariae (n = 3), and 2 were unable to be classified. There were also 4 P. vivax cases that were mis-classified as P. falciparum by microscopy. Sixty percent (12/20) of cases identified by microscopy as P. falciparum were either P. vivax or P. knowlesi; 37.5% (6/16) of cases identified by microscopy as P. vivax were P. knowlesi. All P. malariae and indeterminate species by microscopy were P. knowlesi.

Genus-specific testing by LAMP identified all infections, though species identification was limited by the unavailability of non-falciparum species-specific testing with the platform used. Pf-LAMP testing mis-classified one P. knowlesi mono-infection as P. falciparum but otherwise correctly identified all the P. falciparum cases.

Of cases classified as P. vivax by cytb PCR, 58% (19/33) were later confirmed as P. knowlesi and showed a similar banding pattern to P. vivax (Table 1 and Fig 3A). Using 18S rRNA species-specific nPCR for the four main human species, P. falciparum and P. vivax were correctly identified but all P. knowlesi infections were missed (Fig 3B). There was no cross-reactivity with P. vivax using P. knowlesi-specific nPCR (Fig 3C).

Fig 3. Mis-classification or missed malaria species identification using standard PCR.

a) AluI digestion of cytochrome-b nPCR product for species determination [23]. Pk control (lane 6) with similar banding pattern as Pv control (lane 3). Pk field sample 1548 (lane 7) incorrectly classified as Pv. Pv field sample 1626 (lane 8) accurately identified as Pv; b) 18S rRNA nPCR results utilizing Pv specific primers [24]. Pv field sample 1626 (lane 4) accurately identified as Pv and Pk field sample 1548 (lane 5) not successfully amplified; c) Pk-specific nPCR [16]. Successful amplification of Pk field sample 1548 but not Pv field sample 1626. M: Molecular weight marker; Pf: Plasmodium falciparum; Pv: P. vivax; Pm: P. malariae; Po: P. ovale; Pk: P. knowlesi.

The positive predictive values (PPV) for species identification by different diagnostic methods using the gold standard of serial molecular testing are shown in Table 2. PPV was low for P. falciparum, P. vivax, and P. malariae identification by microscopy and for P. vivax identification by cytb nPCR. Where samples were available, PPV was high for all other methods.

Table 2. Positive predictive values for species identification by different diagnostic methods using the gold standard of serial molecular testing.


To support malaria diagnosis and surveillance in Aceh Province, a low transmission setting in Indonesia that is aiming for malaria elimination, we utilized molecular testing for quality assurance of microscopy-confirmed cases from health facilities. As previously published, this work resulted in the first report of P. knowlesi in Indonesia outside Borneo, and an epidemiological investigation revealed that forest exposures are a key risk factor for this zoonotic infection [6]. In this study, we report the details and difficulties of species identification using microscopy at the point of care and a variety of molecular methods at reference laboratories. Microscopy mis-classified P. knowlesi cases as P. malariae or P. falciparum, as commonly reported elsewhere, but also as P. vivax, which has been less commonly reported [15]. The PPVs for the identification of other species (Pf, Pv, and Pm) were also poor. At the provincial reference laboratory, LAMP, a field-friendly molecular method, was useful in confirming all Plasmodium infections, though further species identification was limited by the unavailability of non-falciparum species-specific testing with the platform used. Use of less field-friendly nPCR methods at a national reference laboratory to identify P. knowlesi infection was not straightforward. All P. knowlesi cases did not amplify with a standard nPCR method (18S rRNA) targeting the four human-only species. With the cytb method, there was cross-reactivity with P. vivax for all P. knowlesi cases. We highlight the difficulties of P. knowlesi diagnosis at the point-of-care and reference laboratory levels in a setting where endemicity was not previously known and bring attention to an emerging challenge for malaria elimination.

The recent discovery and emergence of P. knowlesi, a fifth human species previously thought to only infect macaques, has created an additional challenge for species identification. Microscopy is difficult because the morphology at different stages resembles other malaria species [26]. The diagnostic sensitivity and specificity of available immunochromatographic rapid diagnostic tests (RDTs) for P. knowlesi detection is poor, leaving no other useful point-of-care diagnostic test [2729]. Despite some global knowledge on the potential geographical distribution and extent of transmission of P. knowlesi [4], this information may lack resolution at local levels, and health workers and microscopists on the front-lines may have limited knowledge and/or a low index of suspicion for P. knowlesi. In our study, the investigation into P. knowlesi was prompted by the observation by an astute microscopist of unusual morphology in two malaria cases, as well as the known local presence of pig-tailed and long-tailed macaques and Anopheles leucosphyrus, a known vector on Sumatra island [30].

For quality control in reference laboratories, none of the nucleic acid-based methods for both genus and species-specific identification were found to be suitable. With LAMP, a molecular detection method that has been promoted for use in resource-limited settings due to the rapid turnaround time and simple methods, genus-specific testing was reliable, as has been reported from Malaysia [20]. However a P. knowlesi-specific commercial kit was not available for use in our study, and evaluations of other P. knowlesi-specific LAMP assays have reported cross-reactivity with P. vivax [18]. The P. knowlesi-specific PCR method utilized in this study did not cross-react with P. vivax infections, with excellent specificity as observed previously [16]. The nPCR methods used have problems with missed infections and/or species mis-classification. With commonly used 18S rRNA nPCR targeting the four human-only species, a commonly used reference standard, P. knowlesi either does not amplify (as occurred in this study) or is mis-classified as P. vivax due to high sequence homology at the target sequences [31, 32]. With the cytb nPCR method that we used, our finding of cross-reactivity between P. knowlesi and P. vivax has not been previously reported, but can also be explained by high sequence homology at the target mitochondrial sequences. Others have reported P. knowlesi amplification using P. vivax-specific PCR targeting the mitochondrial gene cox1 [33]. Other more sensitive and specific molecular methods for P. knowlesi detection in mixed species settings have recently been developed [7, 34, 35] and could be considered for future surveillance in our study setting.

The challenge of accurate P. knowlesi detection is of both clinical and public health significance. In Malaysia, where the clinical disease has been well studied, P. knowlesi is associated with at least as high a risk of severe disease compared with P. falciparum [36] and in early series, a high proportion had fatal outcomes [8, 37]. Following a number of interventions in Sabah state, case-fatality rates have fallen 6-fold [9]. These have included improved and now routine statewide molecular surveillance, more recent laboratory microscopy reporting of “P. malariae” as “P. knowlesi”, and enhanced implementation of standardized referral and clinical protocols, including first-line use of artemisinin-based combination therapy and early intravenous artesunate [9, 36]. Progression to severe disease is due not only to missed diagnoses, but also its ability to cause severe malaria at relatively low parasite densities [36]. Mis-classification of P. knowlesi as P. vivax, as occurred at the point of care in our study, also results in unnecessary treatment with primaquine, an antimalarial not indicated for P. knowlesi, but necessary for radical cure of the latent liver stages with P. vivax. In our study, we did not experience any severe adverse events from the unnecessary use of primaquine, but use in subjects with underlying severe glucose-6-phosphate dehydrogenase deficiency is known to be associated with life-threatening hemolysis.

While only recently recognized in areas of Aceh and North Sumatra, there has been little molecular surveillance of P. knowlesi distribution and incidence elsewhere in Indonesia, particularly across Kalimantan, Sulawesi and other regions of Sumatra, where modelling predicts a high risk of human infection [38]. From a public health perspective, accurate identification of P. knowlesi is critical to the design and implementation of effective malaria interventions. In a related study in Aceh Province and also in Malaysia, adult males with forest-related and agricultural occupational exposure are at significantly higher risk of being infected with P. knowlesi [6, 13]. Interventions would therefore need to be targeted to this population. As well as continued promotion of conventional malaria prevention activities to reduce peridomestic transmission [13], other interventions would need to be targeted to P. knowlesi-transmitting mosquitos, the interface between humans and macaques, and to individual risk factors for infection identified in different settings. Further investigation into the epidemiology and transmission of P. knowlesi in Aceh Besar is needed.


Limitations of microscopy to identify P. knowlesi are well established. Our challenges using LAMP and PCR for species identification in a setting with previously unknown P. knowlesi endemicity add to a growing literature on the limitations of molecular methods as well. For settings approaching malaria elimination and/or where epidemiological conditions are predicted to support P. knowlesi transmission to humans, quality assurance of malaria diagnosis and species identification is essential, but at present, practical and accurate methods are not available for local and peripheral reference laboratories. Development, evaluation and implementation of improved P. knowlesi detection methods for use at both the point-of-care and in local reference laboratories are needed.


The authors are grateful to the patients who contributed their samples to the study. We would like to thank Asik Surya and Elvieda Sariwati from the National Malaria Control Programme of Indonesia, as well as the chiefs and officers at the Aceh Province Health Office, Aceh Besar District Health Office, and Communicable Disease Control Malaria Programme for their support and collaboration. We are grateful to the Aceh Provincial Health Laboratory team and staff from the five study primary health centres for support in study implementation. We thank Maria Endang Sumiwi from UNICEF Indonesia for technical support and guidance.


  1. 1. Chin W, Contacos PG, Coatney GR, Kimball HR. A Naturally Acquited Quotidian-Type Malaria in Man Transferable to Monkeys. Science. 1965;149(3686):865. pmid:14332847
  2. 2. Singh B, Kim Sung L, Matusop A, Radhakrishnan A, Shamsul SS, Cox-Singh J, et al. A large focus of naturally acquired Plasmodium knowlesi infections in human beings. Lancet. 2004;363(9414):1017–24. pmid:15051281
  3. 3. Figtree M, Lee R, Bain L, Kennedy T, Mackertich S, Urban M, et al. Plasmodium knowlesi in human, Indonesian Borneo. Emerg Infect Dis. 2010;16(4):672–4. pmid:20350383
  4. 4. Moyes CL, Henry AJ, Golding N, Huang Z, Singh B, Baird JK, et al. Defining the geographical range of the Plasmodium knowlesi reservoir. PLoS Negl Trop Dis. 2014;8(3):e2780. pmid:24676231
  5. 5. Setiadi W, Sudoyo H, Trimarsanto H, Sihite BA, Saragih RJ, Juliawaty R, et al. A zoonotic human infection with simian malaria, Plasmodium knowlesi, in Central Kalimantan, Indonesia. Malar J. 2016;15:218. pmid:27083152
  6. 6. Herdiana H, Cotter C, Coutrier FN, Zarlinda I, Zelman BW, Tirta YK, et al. Malaria risk factor assessment using active and passive surveillance data from Aceh Besar, Indonesia, a low endemic, malaria elimination setting with Plasmodium knowlesi, Plasmodium vivax, and Plasmodium falciparum. Malar J. 2016;15:468. pmid:27619000
  7. 7. Lubis IND, Wijaya H, Lubis M, Lubis CP, Divis PCS, Beshir KB, et al. Contribution of Plasmodium knowlesi to Multispecies Human Malaria Infections in North Sumatera, Indonesia. J Infect Dis. 2017;215(7):1148–55. pmid:28201638
  8. 8. Daneshvar C, Davis TM, Cox-Singh J, Rafa'ee MZ, Zakaria SK, Divis PC, et al. Clinical and laboratory features of human Plasmodium knowlesi infection. Clin Infect Dis. 2009;49(6):852–60. pmid:19635025
  9. 9. Rajahram GS, Barber BE, William T, Grigg MJ, Menon J, Yeo TW, et al. Falling Plasmodium knowlesi Malaria Death Rate among Adults despite Rising Incidence, Sabah, Malaysia, 2010–2014. Emerg Infect Dis. 2016;22(1):41–8. pmid:26690736
  10. 10. Grigg MJ, William T, Barber BE, Rajahram GS, Menon J, Schimann E, et al. Age-Related Clinical Spectrum of Plasmodium knowlesi Malaria and Predictors of Severity. Clin Infect Dis. 2018;67(3):350–9. pmid:29873683
  11. 11. Cox-Singh J, Hiu J, Lucas SB, Divis PC, Zulkarnaen M, Chandran P, et al. Severe malaria—a case of fatal Plasmodium knowlesi infection with post-mortem findings: a case report. Malar J. 2010;9:10. pmid:20064229
  12. 12. Rajahram GS, Barber BE, William T, Menon J, Anstey NM, Yeo TW. Deaths due to Plasmodium knowlesi malaria in Sabah, Malaysia: association with reporting as Plasmodium malariae and delayed parenteral artesunate. Malar J. 2012;11:284. pmid:22905799
  13. 13. Grigg MJ, Cox J, William T, Jelip J, Fornace KM, Brock PM, et al. Individual-level factors associated with the risk of acquiring human Plasmodium knowlesi malaria in Malaysia: a case-control study. Lancet Planet Health. 2017;1(3):e97–e104. pmid:28758162
  14. 14. Wongsrichanalai C, Barcus MJ, Muth S, Sutamihardja A, Wernsdorfer WH. A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT). Am J Trop Med Hyg. 2007;77(6 Suppl):119–27.
  15. 15. Barber BE, William T, Grigg MJ, Yeo TW, Anstey NM. Limitations of microscopy to differentiate Plasmodium species in a region co-endemic for Plasmodium falciparum, Plasmodium vivax and Plasmodium knowlesi. Malar J. 2013;12:8. pmid:23294844
  16. 16. Imwong M, Tanomsing N, Pukrittayakamee S, Day NP, White NJ, Snounou G. Spurious amplification of a Plasmodium vivax small-subunit RNA gene by use of primers currently used to detect P. knowlesi. J Clin Microbiol. 2009;47(12):4173–5. pmid:19812279
  17. 17. Sulistyaningsih E, Fitri LE, Loscher T, Berens-Riha N. Diagnostic difficulties with Plasmodium knowlesi infection in humans. Emerg Infect Dis. 2010;16(6):1033–4. pmid:20507769
  18. 18. Britton S, Cheng Q, Sutherland CJ, McCarthy JS. A simple, high-throughput, colourimetric, field applicable loop-mediated isothermal amplification (HtLAMP) assay for malaria elimination. Malar J. 2015;14:335. pmid:26315027
  19. 19. Lau YL, Lai MY, Fong MY, Jelip J, Mahmud R. Loop-Mediated Isothermal Amplification Assay for Identification of Five Human Plasmodium Species in Malaysia. Am J Trop Med Hyg. 2016;94(2):336–9. pmid:26598573
  20. 20. Piera KA, Aziz A, William T, Bell D, Gonzalez IJ, Barber BE, et al. Detection of Plasmodium knowlesi, Plasmodium falciparum and Plasmodium vivax using loop-mediated isothermal amplification (LAMP) in a co-endemic area in Malaysia. Malar J. 2017;16(1):29. pmid:28086789
  21. 21. Wooden J, Kyes S, Sibley CH. PCR and strain identification in Plasmodium falciparum. Parasitol Today. 1993;9(8):303–5. pmid:15463789
  22. 22. Aceh Province Health Office. Annual Malaria Report 2013. Aceh Province Health Office, Banda Aceh, Aceh Province, Indonesia, 2013.
  23. 23. Schwartz A, Baidjoe A, Rosenthal PJ, Dorsey G, Bousema T, Greenhouse B. The Effect of Storage and Extraction Methods on Amplification of Plasmodium falciparum DNA from Dried Blood Spots. Am J Trop Med Hyg. 2015;92(5):922–5. pmid:25758652
  24. 24. Snounou G, Viriyakosol S, Zhu XP, Jarra W, Pinheiro L, do Rosario VE, et al. High sensitivity of detection of human malaria parasites by the use of nested polymerase chain reaction. Mol Biochem Parasitol. 1993;61(2):315–20. pmid:8264734
  25. 25. Sambrook J, Russell DW. Molecular Cloning: A Laboratory Manual 3rd ed. Cold Spring Harbor Laboratory Press, 2001.
  26. 26. Singh B, Daneshvar C. Human infections and detection of Plasmodium knowlesi. Clin Microbiol Rev. 2013;26(2):165–84. pmid:23554413
  27. 27. Grigg MJ, William T, Barber BE, Parameswaran U, Bird E, Piera K, et al. Combining parasite lactate dehydrogenase-based and histidine-rich protein 2-based rapid tests to improve specificity for diagnosis of malaria Due to Plasmodium knowlesi and other Plasmodium species in Sabah, Malaysia. J Clin Microbiol. 2014;52(6):2053–60. pmid:24696029
  28. 28. Foster D, Cox-Singh J, Mohamad DS, Krishna S, Chin PP, Singh B. Evaluation of three rapid diagnostic tests for the detection of human infections with Plasmodium knowlesi. Malar J. 2014;13:60. pmid:24548805
  29. 29. Barber BE, William T, Grigg MJ, Piera K, Yeo TW, Anstey NM. Evaluation of the sensitivity of a pLDH-based and an aldolase-based rapid diagnostic test for diagnosis of uncomplicated and severe malaria caused by PCR-confirmed Plasmodium knowlesi, Plasmodium falciparum, and Plasmodium vivax. J Clin Microbiol. 2013;51(4):1118–23. pmid:23345297
  30. 30. Elyazar IR, Sinka ME, Gething PW, Tarmidzi SN, Surya A, Kusriastuti R, et al. The distribution and bionomics of anopheles malaria vector mosquitoes in Indonesia. Adv Parasitol. 2013;83:173–266. pmid:23876873
  31. 31. Singh B, Bobogare A, Cox-Singh J, Snounou G, Abdullah MS, Rahman HA. A genus- and species-specific nested polymerase chain reaction malaria detection assay for epidemiologic studies. Am J Trop Med Hyg. 1999;60(4):687–92. pmid:10348249
  32. 32. Tanizaki R, Ujiie M, Kato Y, Iwagami M, Hashimoto A, Kutsuna S, et al. First case of Plasmodium knowlesi infection in a Japanese traveller returning from Malaysia. Malar J. 2013;12:128. pmid:23587117
  33. 33. Berry A, Iriart X, Wilhelm N, Valentin A, Cassaing S, Witkowski B, et al. Imported Plasmodium knowlesi malaria in a French tourist returning from Thailand. Am J Trop Med Hyg. 2011;84(4):535–8. pmid:21460005
  34. 34. Ghinai I, Cook J, Hla TT, Htet HM, Hall T, Lubis IN, et al. Malaria epidemiology in central Myanmar: identification of a multi-species asymptomatic reservoir of infection. Malar J. 2017;16(1):16. pmid:28056979
  35. 35. Komaki-Yasuda K, Vincent JP, Nakatsu M, Kato Y, Ohmagari N, Kano S. A novel PCR-based system for the detection of four species of human malaria parasites and Plasmodium knowlesi. PLoS One. 2018;13(1):e0191886. pmid:29370297
  36. 36. Barber BE, William T, Grigg MJ, Menon J, Auburn S, Marfurt J, et al. A prospective comparative study of knowlesi, falciparum, and vivax malaria in Sabah, Malaysia: high proportion with severe disease from Plasmodium knowlesi and Plasmodium vivax but no mortality with early referral and artesunate therapy. Clin Infect Dis. 2013;56(3):383–97. pmid:23087389
  37. 37. William T, Menon J, Rajahram G, Chan L, Ma G, Donaldson S, et al. Severe Plasmodium knowlesi malaria in a tertiary care hospital, Sabah, Malaysia. Emerg Infect Dis. 2011;17(7):1248–55. pmid:21762579
  38. 38. Shearer FM, Huang Z, Weiss DJ, Wiebe A, Gibson HS, Battle KE, et al. Estimating Geographical Variation in the Risk of Zoonotic Plasmodium knowlesi Infection in Countries Eliminating Malaria. PLoS Negl Trop Dis. 2016;10(8):e0004915. pmid:27494405