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Early parasitological response following artemisinin-containing regimens: a critical review of the literature
© Das et al.; licensee BioMed Central Ltd. 2013
Received: 6 November 2012
Accepted: 8 February 2013
Published: 19 April 2013
Parasitaemia on Day 3 has been proposed as a useful alert of potential artemisinin resistance, however, the normal variation of parasite clearance observed in artemisinin-based combination therapy clinical trials is poorly documented.
The trends in early parasitological response following treatment with an artemisinin anti-malarial regimen were reviewed. A PubMed literature search identified all studies using an artemisinin regimen for uncomplicated falciparum malaria published between January 2000 and December 2011. Data from clinical studies were extracted for analysis using a standardized questionnaire.
In total 65,078 patients were enrolled into 213 clinical trials with 413 treatment arms containing either an artemisinin derivative alone (n=26) or in combination with a partner drug (n=387). The proportion of patients remaining parasitaemic at 24, 48 and 72 hours was documented in 115 (28%), 167 (40%) and 153 (37%) treatment arms, respectively. Excluding resistance studies in Cambodia, the median proportion of patients still parasitaemic was 53.8% [range 3–95, IQR=30.5-69.2] on Day 1, 6% [range 0–65.9, IQR=2-11.5] on Day 2 and 0 [range 0–12.6, IQR=0-2] on Day 3. Comparing studies from 2000 to 2005 and 2006 to 2011, the median proportion of patients reported to remain parasitaemic at 72 hours decreased in Africa (1.2% vs 0%, p=0.007), but increased in Asia (0.4% vs 3.9%, p=0.076). In 95% of studies the proportion of patients with peripheral parasitaemia was less than 6% at 72 hours.
These results highlight the normal distribution of early parasitological responses following ACT, and the influence that heterogeneity in study design, host and parasite factors have in confounding a surveillance system based on Day 3 parasite positivity. Greater understanding of factors influencing parasite clearance is crucial, but will require analysis of pooled data from individual patient records.
Artemisinin-based combination therapy (ACT) is currently the first-line treatment for uncomplicated Plasmodium falciparum malaria recommended by the World Health Organization (WHO) . Substantial decrease in malaria attributable morbidity and mortality in some endemic areas has been credited to the intensive deployment of highly effective ACT treatment regimens and the widespread use of long-lasting insecticide-treated bed nets (LLINs) . However the continued success of these malaria control programmes is under serious threat from the emergence of artemisinin-resistant strains of P. falciparum reported from the Thai-Cambodian border [3–5] and more recently from the Thai-Myanmar border .
The artemisinin derivatives are the most potent anti-malarial drugs, with a broad-stage specificity against young ring-stage parasites, trophozoites and early gametocytes stages. The rationale behind ACT relies on the high potency of artemisinin affecting a rapid reduction in peripheral parasitaemia, thus reducing the parasite biomass remaining to be eliminated by the longer-acting partner drug . Although the overall efficacy of ACT is dependent on both drugs, the initial parasite clearance rates are predominantly a function of artemisinin activity. The hallmark of artemisinin resistance comes from clinical observations of a delayed early clearance of detectable parasitaemia in the peripheral blood film, associated with an increase in parasite gametocyte and thus transmissibility [3, 4, 6].
Surveillance of artemisinin resistance and delineation of the boundaries of spread is critical if appropriate public health measures are to be taken to contain or at least delay the evolution of the process. As yet there are no validated molecular markers of artemisinin resistance, and current in vitro assays have proven insensitive at identifying parasites associated with a clinical resistance phenotype . For this reason, surveillance strategies have been devised to define resistance from the early clearance of peripheral parasitaemia. A variety of parameters have been developed which vary in complexity as well as sensitivity. Frequent sampling of the parasite response and derivation of the rate of reduction has been proposed as a reliable method for defining the parasite susceptibility to artemisinin derivatives . However such tests are logistically more difficult to conduct than the current standard in vivo efficacy assessment , and require appropriately designed prospective application .
An alternative approach advocates the use of the proportion of patients with detectable parasitaemia in a blood smear taken on Day 3, 72 hours after starting anti-malarial treatment . When more than 10% of patients have a detectable peripheral parasitaemia on Day 3 this is considered to be indicative of suspected artemisinin resistance. Such a definition is relatively simple to implement and can be applied retrospectively from completed clinical trials adhering to established WHO guidelines on monitoring anti-malarial drug resistance, providing a minimum of 50 patients have been enrolled in the study . However this simple approach is vulnerable to a number of important factors that may confound its interpretation.
In the current study the utility of applying a 10% parasite positivity threshold on Day 3 as a marker of artemisinin resistance, was reviewed from all available published data from the last 12 years involving artemisinin derivatives. The objectives of the study were to review the information currently available on parasitological measures of artemisinin-containing clinical trials and to document early parasitological responses to treatment.
Building the reference library
Each publication was reviewed and trial data extracted to a standard record form. Variables included details on the study location(s), randomization process, duration of follow up, baseline characteristics, treatment given (including dose and duration of artemisinin derivatives and partner drugs), and parasite positivity rates (PPR) on Day 1, 2 and 3 (see Additional files 3, 4 and 5).
Data were extracted and entered into Microsoft Office Access™. All analyses were conducted using Stata software, version 11.2 (StataCorp). The Mann–Whitney U test or Kruskal-Wallis method were used for nonparametric comparisons, and for categorical variables, proportions were examined using Chi squared test with Yates' correction or by Fisher's exact test. Logistic regression model with a study random effect on individual patient data was used to determine the effect of study characteristics (year, location, partner drug, artemisinin derivative, dose of artemisinin derivative) and patient characteristics (age and parasite density) on parasite positivity rates at 24, 48 and 72 hours. The effect of individual patient characteristics was investigated using summary statistics reported in the publications and limitations of this methodology have been previously reported . To maximize available data when the number of patients evaluated for parasitaemia was not stated in the text, it was assumed that all patients in that study arm had been evaluated at that time point. In the meta-analysis, proportions were transformed using the Freeman-Tukey variant of the arcsine square root transformation and random effects model using the method of DerSimonian & Laird, with the estimates of heterogeneity derived from the Mantel-Haenszel model [16, 17].
In 11 South American trials, the median (range) baseline parasitaemia was 4,445 μl-1 (range 2,838-7,309) and the median age at enrolment was 25.9 years (range 6.7-36). Of the 1,295 patients recruited in South America, 59% (762) received AS+MQ in 10 treatment arms, 20% (262) were allocated to DHA+PIP, 12% (151) to AS+SP and the remainder were treated by AL, AS+AQ or artesunate rectal capsule.
Parasitologic response during the first three days
The early parasitological response to treatment was reported in 60% (128/213) of studies, with the parasite positivity stated (or derived) at Day 1 in 115 (28%) treatment arms, at Day 2 in 167 (40%) treatment arms and at Day 3 in 153 (37%) treatments arms. Most studies (53% 113/213) assessed blood smear once daily, but in 27% (58/213) of studies examination was more frequent (four to 12 hourly). In 29 (14%) studies parasitaemia was reported less than once daily and the remainder (13 studies) did not specify intervals of blood slide taken in the methodology.
Parasite positivity according to day of follow up and continent
Proportion of patients with patent parasitaemia
Parasite positivity rate
Number of study arms
[Range: 2.6-94.4 IQR: 26.6-66.4]
[Range: 0–65.9, IQR: 1.6-11.2 ]
[Range: 0–65.9, IQR: 1.6-11.0 ]
[Range: 0–36.5, IQR: 0–1.2 ]
[Range: 0–10.0, IQR: 0–1.2 ]
[Range: 0—84.3, IQR: 37.7-74.0]
[Range: 16.4—84.3, IQR: 41.1-74.0]
[Range: 0–72.5, IQR: 3.3-20.8]
[Range: 0–55.0, IQR: 0–5.3]
[Range: 0–55.0, IQR: 0–5.6]
[Range: 32.3-75.0, IQR=41.5-48.0]
[Range: 0–21.4, IQR=1.1-17.9]
[Range: 0–8.6, IQR=0-2.1]
Factors influencing early parasite responses
Parasite positivity rate at Day 1 (PPRday1) and Day 2 (PPRday2) did not differ between Asia and Africa, but by Day 3 (PPRday3) patients from Asian studies were at significantly greater risk of remaining parasitaemic (Odds Ratio OR = 3.58 [95% CI 1.15 – 10.13]; p=0.027).
The proportion of patients with detectable parasitaemia depended significantly on the number of days in which an artemisinin derivative treatment had been administered. In Africa the OR [95% CI] for PPRday2 was 2.72 [1.90-3.92] for regimens with less than two days of artemisinin derivative therapy (four arms with 588 patients) and was 6.19 [3.43-11.17] for PPRday3 for treatments with shorter than three days (nine arms with 1,370 patients) compared to regimens with longer courses of artemisinin derivatives. In Asia, all treatments included at least three days of artemisinin derivatives, except for 182 patients in two study arms who received only two days. Further analyses of PPRday2 were restricted to patients who received at least two days of artemisinin derivatives and of PPRday3 to patients who received at least three days of artemisinin derivatives.
Univariate analysis of factors associated with early parasite response in Africa
OR (95% CI)
OR (95% CI)
OR (95% CI)
Log e parasitaemia
Univariate risk factors for early parasitaemia positivity rates in Asia
OR (95% CI)
OR (95% CI)
OR (95% CI)
Log e parasitaemia
Multivariable risk factors for early parasitaemia positivity rates in Africa
AOR (95% CI)
AOR (95% CI)
AOR (95% CI)
Log e parasitaemia
5.03 (0.58 – 43.52)
Multivariate logistic regression model for early parasite response in Asia
AOR (95% CI)
Log e parasitaemia
In the studies conducted in Asia, there was a temporal trend for an increased risk of parasite positivity at Day 1 (AOR = 0.90 [95% CI 0.81-0.99] per year), but not at other time points. In African studies, the reverse was observed, with a linear trend for decreased positivity at all days, but only statistically significant on Day 1 and Day 3 (AOR= 0.84 [95% CI 0.73-0.96]; AOR = 0.78 [95% CI 0.62-0.97] per year, respectively).
Temporal trends in parasitological response were assessed in studies conducted from 2000 to 2005 and compared with 2006 to 2011. In African studies, the median reported proportion of patients remaining parasitaemic during follow up decreased at Day 1 (64% to 43%), Day 2 (10% to 4.6%) and Day 3 (1.2% to 0%). However these changes, adjusted for confounding factors, were not statistically significant in the logistic regression model. In contrast, in Asian studies the median proportion of patients parasitaemic at Day 3 rose from 0.4% in 2000 to 2005 to 6.5% in 2006 to 2011. However after adjusting for confounding factors, and exclusion of Cambodian studies, these temporal trends were no longer statistically significant.
Identifying areas of delayed parasite clearance
Among 153 treatment arms reporting parasite positivity rate at Day 3, nine (5.9%) recorded a PPRday3 of 10% or higher. Of them, six treatment regimens were evaluated in Western Cambodia and one study was of a single dose of artesunate (see Additional file 8). In the remaining two studies [18, 19] patients were treated with a three-day AS+AQ in Senegal and Indonesia and with PPRday3 documented as 10% (95%CI =6.3-15.6%) and 12.6% (95% CI=7.5-20.4%) respectively.
The emergence and spread of resistance to anti-malarial drugs has proven to be a crucial factor undermining malaria control programmes and global aspirations for the elimination of malaria. Anti-malarial resistance has emerged to nearly all established anti-malarial compounds and is considered as inevitable for any drugs that are in common use and deployed widely. The consequences of anti-malarial drug resistance are huge and are associated with greater malaria attributable morbidity and mortality. The use of ACT was designed to combat anti-malarial drug resistance, increasing the treatment efficacy against even the most multidrug resistant isolates, reducing the transmission potential of the parasite and preventing the emergence of de novo resistance. Over the last decade more than 80 countries have adopted ACT as a key component of national anti-malarial guidelines. However, this strategy is now under threat with reports of declining artemisinin efficacy against P. falciparum infection. The first documentation of declining susceptibility came from Pailin in western Cambodia, and has now been confirmed on the western border of Thailand, and Vietnam [3, 4, 6]. The threat of an escalation to high-grade artemisinin resistance spreading throughout the malaria-endemic world is alarming and demands immediate action to contain potential hotspots and retard the spread of resistant parasites to new areas. To counter this threat, WHO launched a coordinated plan outlined in the Global Plan for Artemisinin Resistance Containment (GPARC), which proposed an international commitment to both accelerate malaria control efforts and implement a number of additional activities .
The hallmark of declining artemisinin efficacy is a delay in the early parasite clearance times. Prolonged parasite clearance increases the risk of gametocyte carriage and thus transmission potential, as well as increasing parasite exposure to the partner drug and thus the risk of selecting for further drug-resistant isolates. The assessment of therapeutic clinical response, particularly the early parasite positivity rate has been identified as a crucial part of drug efficacy monitoring for artemisinin resistance, but its interpretation is vulnerable to a number of confounding factors [20, 21]. Novel approaches to quantify the therapeutic efficacy have attempted to overcome this by frequent blood film examination (at least eight-hourly) and analysis of the slope of the parasitaemia clearance profiles . Although such studies are now being conducted prospectively by research groups, their application is a significant change from current in vivo protocols for uncomplicated malaria which have derived the early parasite clearance mostly from once-daily sampling. Simplified sampling strategies, although less precise, have the advantage of being adopted across a wider geographical area and logistical framework. Furthermore, a system that is compatible with current protocols permits the analysis of data that has already been gathered, to be re-examined to identify potential hot spots of emerging artemisinin resistance. Monitoring of the Day 3 parasite positivity rate has been proposed as a simple, robust surveillance tool, with the rationale that this crude test could identify sites warranting further more detailed clinical investigation . However, the sensitivity, specificity and ultimate utility of such an approach will depend upon the threshold chosen to signal a poor outcome and acknowledgement for the host, parasite and drug factors that can either mask declining susceptibility to artemisinin or give rise to false alarm.
The purpose of the current study was to review the recent literature of clinical studies of artemisinin derivatives in order to quantify the distribution of parasite clearance times and the cofactors underlying these. Important variations are apparent in the design and methodology of ACT clinical drug trials, indicative on the rationale of the study, local epidemiology, as well as logistical and funding constraints. In particular microcopy protocols can vary considerably, and although standardised quantification of thick and thin films are crucial details of their underlying methodologies are rarely presented. Furthermore there were significant differences in both the age of inclusion and baseline parasitaemia, both of which are critical to the speed of parasite clearance .
Although almost two thirds of studies reviewed in this analysis, reported details on the early parasitological response, these were reported inconsistently with only 40% providing parasite positivity rates on Day 2 and 37% on Day 3. Furthermore, 13% (n=28) of these data points were estimated from figures presented to depict parasitological response rather than the text itself. From the data available, 91% of patients had cleared their parasitaemia within two days and 97.9% within three days, however there was marked heterogeneity in clearance rates between studies and regions (highlighted in Figures 6 and 7). Several important confounding factors were identified. As expected, baseline parasitaemia was major risk factor for patent parasitaemia particularly on Day 3. Parasite positivity rates over the first day of treatment were also significantly higher in children than adults, although this was only apparent in Asian studies where a greater spectrum of age groups was recruited. After controlling for these factors, parasite positivity rates varied considerably with the treatment regimen administered, short course treatments being associated with two- to six-fold higher rates of parasitaemia at Day 2 and Day 3. Even when the analysis was restricted to three-day regimens, the differences in parasite positivity rates remained, with DHA-piperaquine associated with significantly greater clearance than AL and AS+MQ (see Tables 2 and 3).
Over the last decade the analysis of temporal trends in parasite clearance reveal a significant increase in the proportion of patients remaining parasitaemic at Day 3 in Asia, however this was mostly accounted for by the recent Cambodian studies which were clear outliers. Outside of Cambodia no significant trend was apparent. Conversely in Africa, the parasite positivity rate was noted to decrease over the decade at each day of follow up, although this was mostly attributable to variation in the age of the patients and baseline parasitaemia and was not apparent in multivariable analysis. After excluding Cambodian studies, thresholds expected to be achieved in 95% of clinical studies could be estimated as a parasite positivity rates less than 84% at Day 1, less than 35% at Day 2 and less than 6% at Day 3. The current threshold for alerting for a potential decline with artemisinin resistance has been proposed as a PPR on Day 3 of greater than 10%, well above the 95th percentile. Using this definition, nine outliers were identified, six of which were from the Pailin region, the epicentre for emerging artemisinin resistance in Cambodia and one of which was a short-course regimen. Of the remaining two studies, one by Asih et al. from Indonesia conducted in 2005 to 2006, combined PCR positivity with microscopy, which may have accounted for higher than expected proportion of patients parasitaemic on Day 3 . The remaining trial arm in a study by Adjuik et al. was conducted in Senegal, although the Day 3 value was derived from a figure rather than actual data , (see Additional file 8).
The present analysis relies on aggregated data collected mostly from studies with once daily sampling. The specificity of the 10% Day 3 PPR cut off in detecting areas of declining artemisinin efficacy could be estimated at 67%, assuming that the two studies from Senegal and Indonesia was false positives. However it was not possible to determine the sensitivity of this clinical marker particularly for detecting early indications of emerging resistance. From the data presented here and previous analyses it is clear that the interpretation of simple measures of parasite clearance are highly vulnerable to host, parasite and drug factors, all of which vary significantly with heterogeneous study designs. Standardization of methodology, unified approaches for reporting, and the application of more stringent inclusion and exclusion enrolment criteria may go some way to controlling for these. The WHO malaria guidelines on monitoring in vivo drug resistance are regularly reviewed and updated and are crucial in encouraging a standardized approach to global drug resistance monitoring . Complementary pooled analyses of individual level data allow multivariate analysis, which increase the power to identify locations of outlying studies that defy what has historically been an extremely rapid parasitological response. Current efforts by the WorldWide Antimalarial Resistance Network (WWARN) are directed at facilitating such approaches, using subject-level data and standardizing analytical outputs, ensuring that relevant and validated data can be explored controlling for confounding factors. Such endeavours are of critical importance in building strong collaborative commitments from the global malaria community to tackle a major public health threat.
We would like to thank our colleagues in WWARN Asia Regional Centre for assistance in database construction and data extraction. We would also like to thank Pascal Ringwald for informative discussions on the evidence for and applicability of clinical markers of artemisinin resistance. The WorldWide Antimalarial Resistance Network (WWARN) is supported by the Bill & Melinda Gates Foundation and DFID. RNP is supported by a Wellcome Trust Senior Fellowship in Clinical Science.
- World Health Organization: Guidelines for the treatment of malaria. 2011, Geneva: World Health Organization, 9789241547925 http://www.who.int/malaria/publications/atoz/9789241547925/en/index.html 2010., 9789241547925Google Scholar
- World Health Organization: World Malaria Report. 2010, Geneva: WHOGoogle Scholar
- Dondorp AM, Nosten F, Yi P, Das D, Phyo AP, Tarning J, Lwin KM, Ariey F, Hanpithakpong W, Lee SJ, Ringwald P, Silamut K, Imwong M, Chotivanich K, Lim P, Herdman T, An SS, Yeung S, Singhasivanon P, Day NP, Lindegardh N, Socheat D, White NJ: Artemisinin resistance in Plasmodium falciparum malaria. N Engl J Med. 2009, 361: 455-467. 10.1056/NEJMoa0808859.PubMed CentralView ArticlePubMedGoogle Scholar
- Noedl H, Se Y, Sriwichai S, Schaecher K, Teja-Isavadharm P, Smith B, Rutvisuttinunt W, Bethell D, Surasri S, Fukuda MM, Socheat D, Chan Thap L: Artemisinin resistance in Cambodia: a clinical trial designed to address an emerging problem in Southeast Asia. Clin Infect Dis. 2010, 51: e82-e89. 10.1086/657120.View ArticlePubMedGoogle Scholar
- Bethell D, Se Y, Lon C, Tyner S, Saunders D, Sriwichai S, Darapiseth S, Teja-Isavadharm P, Khemawoot P, Schaecher K, Ruttvisutinunt W, Lin J, Kuntawungin W, Gosi P, Timmermans A, Smith B, Socheat D, Fukuda MM: Artesunate dose escalation for the treatment of uncomplicated malaria in a region of reported artemisinin resistance: a randomized clinical trial. PLoS One. 2011, 6: e19283-10.1371/journal.pone.0019283.PubMed CentralView ArticlePubMedGoogle Scholar
- Phyo AP, Nkhoma S, Stepniewska K, Ashley EA, Nair S, McGready R, Ler Moo C, Al-Saai S, Dondorp AM, Lwin KM, Singhasivanon P, Day NP, White NJ, Anderson TJ, Nosten F: Emergence of artemisinin-resistant malaria on the western border of Thailand: a longitudinal study. Lancet. 2012, 379: 1960-1966. 10.1016/S0140-6736(12)60484-X.PubMed CentralView ArticlePubMedGoogle Scholar
- White N: Antimalarial drug resistance and combination chemotherapy. Philos Trans R Soc Lond B Biol Sci. 1999, 354: 739-749. 10.1098/rstb.1999.0426.PubMed CentralView ArticlePubMedGoogle Scholar
- Fairhurst RM, Nayyar GM, Breman JG, Hallett R, Vennerstrom JL, Duong S, Ringwald P, Wellems TE, Plowe CV, Dondorp AM: Artemisinin-resistant malaria: research challenges, opportunities, and public health implications. AmJTrop Med Hyg. 2012, 87: 231-241. 10.4269/ajtmh.2012.12-0025.View ArticleGoogle Scholar
- Flegg JA, Guerin PJ, White NJ, Stepniewska K: Standardizing the measurement of parasite clearance in falciparum malaria: the parasite clearance estimator. Malar J. 2011, 10: 339-10.1186/1475-2875-10-339.PubMed CentralView ArticlePubMedGoogle Scholar
- World Health Organization: Methods for surveillance of antimalarial drug efficacy. 2009, Geneva: World Health Organization,http://www.who.int/malaria/publications/atoz/9789241597531/en/index.html, 9789241597531,Google Scholar
- White NJ: The parasite clearance curve. Malar J. 2011, 10: 278-10.1186/1475-2875-10-278.PubMed CentralView ArticlePubMedGoogle Scholar
- Stepniewska K, Ashley E, Lee SJ, Anstey N, Barnes KI, Binh TQ, D'Alessandro U, Day NP, de Vries PJ, Dorsey G, Guthmann JP, Mayxay M, Newton PN, Olliaro P, Osorio L, Price RN, Rowland M, Smithuis F, Taylor WR, Nosten F, White NJ: In vivo parasitological measures of artemisinin susceptibility. J Infect Dis. 2010, 201: 570-579. 10.1086/650301.PubMed CentralView ArticlePubMedGoogle Scholar
- World Health Organization: Global plan for artemisinin resistance containment. 2011, Geneva: World Health Organization,http://www.who.int/malaria/publications/atoz/9789241597531/en/index.html, 9789241500838,Google Scholar
- WorldWide Antimalarial Resistance Network: Antimalarial clinical trials literature review.http://www.wwarn.org/resistance/malaria/literature,
- Thompson SG, Turner RM, Warn DE: Multilevel models for meta-analysis, and their application to absolute risk differences. Stat Methods Med Res. 2001, 10: 375-392. 10.1191/096228001682157616.View ArticlePubMedGoogle Scholar
- DerSimonian R, Laird N: Meta-analysis in clinical trials. Control Clin Trials. 1986, 7: 177-188. 10.1016/0197-2456(86)90046-2.View ArticlePubMedGoogle Scholar
- Stuart A, Ord JK: Kendall's Advanced Theory of Statistics. 1994, London: Edward Arnold, 6Google Scholar
- Adjuik M, Agnamey P, Babiker A, Borrmann S, Brasseur P, Cisse M, Cobelens F, Diallo S, Faucher JF, Garner P, Gikunda S, Kremsner PG, Krishna S, Lell B, Loolpapit M, Matsiegui PB, Missinou MA, Mwanza J, Ntoumi F, Olliaro P, Osimbo P, Rezbach P, Some E, Taylor WR: Amodiaquine-artesunate versus amodiaquine for uncomplicated Plasmodium falciparum malaria in African children: a randomised, multicentre trial. Lancet. 2002, 359: 1365-1372. 10.1016/S0140-6736(02)08348-4.View ArticlePubMedGoogle Scholar
- Asih PB, Dewi RM, Tuti S, Sadikin M, Sumarto W, Sinaga B, van der Ven AJ, Sauerwein RW, Syafruddin D: Efficacy of artemisinin-based combination therapy for treatment of persons with uncomplicated Plasmodium falciparum malaria in West Sumba District, East Nusa Tenggara Province, Indonesia, and genotypic profiles of the parasite. AmJTrop Med Hyg. 2009, 80: 914-918.Google Scholar
- White NJ: Assessment of the pharmacodynamic properties of antimalarial drugs in vivo. Antimicrob Agents Chemother. 1997, 41: 1413-1422.PubMed CentralPubMedGoogle Scholar
- Anderson TJ, Nair S, Nkhoma S, Williams JT, Imwong M, Yi P, Socheat D, Das D, Chotivanich K, Day NP, White NJ, Dondorp AM: High heritability of malaria parasite clearance rate indicates a genetic basis for artemisinin resistance in western Cambodia. J Infect Dis. 2010, 201: 1326-1330. 10.1086/651562.PubMed CentralView ArticlePubMedGoogle Scholar
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