Modelling the contribution of the hypnozoite reservoir to Plasmodium vivax transmission

Michael T White, Stephan Karl, Katherine E Battle, Simon I Hay, Ivo Mueller, Azra C Ghani, Michael T White, Stephan Karl, Katherine E Battle, Simon I Hay, Ivo Mueller, Azra C Ghani

Abstract

Plasmodium vivax relapse infections occur following activation of latent liver-stages parasites (hypnozoites) causing new blood-stage infections weeks to months after the initial infection. We develop a within-host mathematical model of liver-stage hypnozoites, and validate it against data from tropical strains of P. vivax. The within-host model is embedded in a P. vivax transmission model to demonstrate the build-up of the hypnozoite reservoir following new infections and its depletion through hypnozoite activation and death. The hypnozoite reservoir is predicted to be over-dispersed with many individuals having few or no hypnozoites, and some having intensely infected livers. Individuals with more hypnozoites are predicted to experience more relapses and contribute more to onwards P. vivax transmission. Incorporating hypnozoite killing drugs such as primaquine into first-line treatment regimens is predicted to cause substantial reductions in P. vivax transmission as individuals with the most hypnozoites are more likely to relapse and be targeted for treatment.

Keywords: epidemiology; global health; human; malaria; mathematical; model; relapse; vivax.

Conflict of interest statement

SIH: Reviewing editor, eLife.

The other authors declare that no competing interests exist.

Figures

Figure 1.. Model parameterisation.
Figure 1.. Model parameterisation.
Time to first relapse infection from the within-host model fitted to data from three ecological zones with tropical strains of P. vivax (Battle et al., 2014). The red curves show the model fits with estimated posterior median parameters. DOI:http://dx.doi.org/10.7554/eLife.04692.003
Figure 1—figure supplement 1.. MCMC chains and…
Figure 1—figure supplement 1.. MCMC chains and posterior distributions for Bayesian model fitting.
The likelihood in Equation 12 was sampled using a Metropolis–Hastings Markov Chain Monte Carlo (MCMC) algorithm and the posterior parameter distributions were estimated. 100,000 MCMC iterations were sampled and visually checked for convergence and mixing. The top row shows the MCMC chains. The middle row shows the correlation between pairs of parameters. The bottom row shows the sampled posterior distributions. Prior distributions are shown in blue. Note the high degree of correlation between N and α. DOI:http://dx.doi.org/10.7554/eLife.04692.004
Figure 2.. Sample relapse patterns for tropical…
Figure 2.. Sample relapse patterns for tropical and temperate strains of P. vivax.
A relapse is assumed to be undetected if it occurs within 14 days of a detected relapse. Both tropical and temperate phenotypes exhibit dose dependency, with a larger number of hypnozoites giving rise to a greater number of relapses and shorter times to first relapse. For larger numbers of hypnozoites (N = 50), periodicity in detected relapses is observed. The appearance of this periodicity is due to the undetected relapses. DOI:http://dx.doi.org/10.7554/eLife.04692.005
Figure 2—figure supplement 1.. Expected time between…
Figure 2—figure supplement 1.. Expected time between consecutive relapses.
For the tropical phenotype the time between relapses was calculated as the mean duration between consecutive relapses over the first 6 months based on 10,000 stochastic simulations. For the temperate phenotype the time between relapses was calculated as the mean duration between consecutive relapses over the first 12 months based on 10,000 stochastic simulations. The red curves denote the time between detected relapses: it is assumed that within 14 days of a detected relapse some activating hypnozoites can go undetected due to anti-malarial prophylaxis or the presence of blood-stage parasites. The grey curve denotes the expected time between all consecutively activating hypnozoites. The dashed line denotes a 3 week duration which has been regularly been observed as a common period between consecutive relapses (White, 2011). DOI:http://dx.doi.org/10.7554/eLife.04692.006
Figure 3.. Predicted relapse infections following primary…
Figure 3.. Predicted relapse infections following primary P. vivax infection.
(A and B) Duration of hypnozoite carriage (orange) and expected number of hypnozoites in the liver (dashed). For the temperate strain, the dashed blue line shows the number of hypnozoites in the relapsing phase. (C and D) Survival time until nth relapsing hypnozoite. The red curve is equivalent to the Kaplan–Meier curve for time to first blood-stage infection that would be observed in the absence of new infections from mosquito bites. Only the curves for the first five relapses are shown. (E and F) Proportion of individuals with at least n relapsing hypnozoites following primary infection. DOI:http://dx.doi.org/10.7554/eLife.04692.007
Figure 4.. Within-host model for tropical relapses…
Figure 4.. Within-host model for tropical relapses embedded in a P. vivax transmission model.
(A) The statics (estimated equilibrium prevalence) of P. vivax and P. falciparum transmission for different values of the entomological inoculation rate (EIR). EIR was varied by changing the number of mosquitoes per person m. (B) The number of hypnozoites per person is expected to increase with transmission intensity. The black line denotes the median number of hypnozoites, and the shaded areas denote the 50% and 95% ranges. (C) The distribution of the hypnozoite reservoir when PvPR = 50%. The grey bar represents individuals with zero hypnozoites. DOI:http://dx.doi.org/10.7554/eLife.04692.008
Figure 5.. Timelines for malaria control.
Figure 5.. Timelines for malaria control.
(A) The introduction of vector control with ITNs or IRS (assumed to increase mosquito mortality by 30%) is predicted to cause substantial reductions in both PvPR and PfPR. (B) Simulated effect of expanding first-line treatment with blood-stage anti-malarial drugs (e.g., chloroquine or ACTs) so that 20% and 40% of new blood-stage infections are treated. (C) Simulated effect of first-line treatment with a combined regimen of blood-stage anti-malarials and primaquine to remove liver-stage hypnozoites. DOI:http://dx.doi.org/10.7554/eLife.04692.009
Figure 5—figure supplement 1.. Transmission model incorporating…
Figure 5—figure supplement 1.. Transmission model incorporating treatment of new infections with blood-stage anti-malarials.
Treatment coverage χ is assumed, that is, the proportion of new blood-stage infections that receive treatment with blood-stage anti-malarials. There will be a delay between the emergence of parasites into the blood-stream and the administration of treatment following symptoms. This stage is described by treatment compartment Ti and lasts 1/ν = 7 days. Importantly, transmission to mosquitoes is possible during this stage as P. vivax gametocytes (the sexual stage of the parasite that can be transmitted to mosquitoes) are present in the blood very early on in the infection. Following treatment, individuals progress to a period of prophylactic protection Pi, during which they are not susceptible to new blood-stage infections but may still acquire hypnozoites from new bites from infectious mosquitoes. It is assumed that individuals remain under prophylactic protection for 1/ξ = 14 days after which they return to being susceptible Si. DOI:http://dx.doi.org/10.7554/eLife.04692.010
Figure 5—figure supplement 2.. Transmission model incorporating…
Figure 5—figure supplement 2.. Transmission model incorporating treatment of new infections with blood-stage anti-malarials and primaquine.
The incorporation of primaquine into first-line treatment regimens is accounted for by assuming that treatment clears all hypnozoites from the liver as well as clearing blood-stage infections. A 14 day daily dosing regimen of primaquine which has proven efficacy at preventing relapses. In particular we assume treatment eliminates all hypnozoites, so that treated individuals move to compartment P0 (under prophylaxis from treatment and with all hypnozoites removed). The 14 day treatment regimen is assumed to provide a period of prophylactic protection against new hypnozoite infection, that is, new hypnozoites cannot be acquired while primaquine is being administered. DOI:http://dx.doi.org/10.7554/eLife.04692.011
Figure 6.. Targeting the hypnozoite reservoir.
Figure 6.. Targeting the hypnozoite reservoir.
Proportion of the population infected with 1–2, 3–9 or 10+ hypnozoites following the introduction of a first-line treatment regimen with blood-stage anti-malarial drugs and primaquine. Individuals with large numbers of hypnozoites are more likely to experience new blood-stage infections and hence become targeted for treatment and have their hypnozoites removed. This results in a selective targeting of the most intensely infected individuals. DOI:http://dx.doi.org/10.7554/eLife.04692.012
Figure 7.. Within-host model schematic of relapsing…
Figure 7.. Within-host model schematic of relapsing hypnozoites in the liver.
Hypnozoites from tropical strains of P. vivax will progress to the relapsing phase where they are subject to two processes: death and activation leading to relapse. Hypnozoites from temperate strains will begin in a temperate long-latency phase where they must wait before progressing to the relapsing phase. DOI:http://dx.doi.org/10.7554/eLife.04692.014
Figure 7—figure supplement 1.. Detailed model schematic…
Figure 7—figure supplement 1.. Detailed model schematic of the within-host relapse model.
Orange compartments denote the temperate long-latency phase. Green compartments denote the relapsing phase. Superscript N denotes that the infection began with N hypnozoites. In the long-latency phase, sub-script i, j denotes i hypnozoites in the jth compartment for progressing through the long-latency phase. In the relapsing phase, subscript i denotes the number of hypnozoites. An individual infected with N hypnozoites of a tropical strain begins in the HNN compartment and progresses to HN0 as hypnozoites activate or die. An individual infected with N hypnozoites of a temperate strain begins in the LNN,1 compartment, and progresses down the flow diagram through the M steps during the period of long-latency. During this time they may also move to the right along the flow diagram as the number of hypnozoites reduces due to death. After passing through the M compartments for the long-latency phase, infections will enter the relapsing phase where relapse can occur. DOI:http://dx.doi.org/10.7554/eLife.04692.015
Figure 8.. Transmission model schematic.
Figure 8.. Transmission model schematic.
Within-host model for tropical relapses embedded in a transmission model. Si denotes the proportion of humans susceptible to blood-stage infection with i hypnozoites. Ii denotes the proportion of humans with blood-stage infections carrying i hypnozoites. Individuals in all compartments are exposed to primary infections at rate λ, following which they will move down the flow diagram to a compartment representing blood-stage infection and carrying a greater number of hypnozoites. DOI:http://dx.doi.org/10.7554/eLife.04692.016
Author response image 1.
Author response image 1.

References

    1. Ashley EA, Dhorda M, Fairhurst RM, Amaratunga C, Lim P, Suon S, Sreng S, Anderson JM, Mao S, Sam B, Sopha C, Chuor CM, Nguon C, Sovannaroth S, Pukrittayakamee S, Jittamala P, Chotivanich K, Chutasmit K, Suchatsoonthorn C, Runcharoen R, Hien TT, Thuy-Nhien NT, Thanh NV, Phu NH, Htut Y, Han KT, Aye KH, Mokuolu OA, Olaosebikan RR, Folaranmi OO, Mayxay M, Khanthavong M, Hongvanthong B, Newton PN, Onyamboko MA, Fanello CI, Tshefu AK, Mishra N, Valecha N, Phyo AP, Nosten F, Yi P, Tripura R, Borrmann S, Bashraheil M, Peshu J, Faiz MA, Ghose A, Hossain MA, Samad R, Rahman MR, Hasan MM, Islam A, Miotto O, Amato R, MacInnis B, Stalker J, Kwiatkowski DP, Bozdech Z, Jeeyapant A, Cheah PY, Sakulthaew T, Chalk J, Intharabut B, Silamut K, Lee SJ, Vihokhern B, Kunasol C, Imwong M, Tarning J, Taylor WJ, Yeung S, Woodrow CJ, Flegg JA, Das D, Smith J, Venkatesan M, Plowe CV, Stepniewska K, Guerin PJ, Dondorp AM, Day NP, White NJ, Tracking Resistance to ArtemisininCollaboration (TRAC) Spread of artemisinin resistance in Plasmodium falciparum nalaria. The New England Journal of Medicine. 2014;371:411–423. doi: 10.1056/NEJMoa1314981.
    1. Battle KE, Karhunen MS, Bhatt S, Gething PW, Howes RE, Golding N, Van Boeckel TP, Messina JP, Shanks GD, Smith DL, Baird JK, Hay SI. Geographical variation in Plasmodium vivax relapse. Malaria Journal. 2014;13:144. doi: 10.1186/1475-2875-13-144.
    1. Beier JC, Davis JR, Vaughan JA, Noden BH, Beier MS. Quantitation of Plasmodium-falciparum sporozoites transmitted invitro by experimentally infected Anopheles-gambiae and Anopheles-stephensi. The American Journal of Tropical Medicine and Hygiene. 1991;44:564–570.
    1. Berliner RW, Earle DP, Taggart JV, Welch WJ, Zubrod CG, Knowlton P, Atchley JA, Shannon JA. Studies on the chemotherapy of the human malarias. vii. the antimalarial activity of pamaquine. The Journal of Clinical Investigation. 1948;27:108–113. doi: 10.1172/JCI101947.
    1. Betuela I, Rosanas-Urgell A, Kiniboro B, Stanisic D, Samol L, de Lazzari E, Del Portillo HA, Siba P, Alonso PL, Bassat Q, Mueller I. Relapses contribute significantly to the risk of P. vivax infection and disease in Papua New Guinean children 1-5 years of age. The Journal of Infectious Diseases. 2012;206:1771–1780. doi: 10.1093/infdis/jis580.
    1. Bharti AR, Chuquiyauri R, Brouwer KC, Stancil J, Lin J, Llanos-Cuentas A, Vinetz JM. Experimental infection of the neotropical malaria vector Anopheles darlingi by human patient-derived Plasmodium vivax in the Peruvian Amazon. The American Journal of Tropical Medicine and Hygiene. 2006;75:610–616.
    1. Chamchod F, Beier JC. Modeling Plasmodium vivax: relapses, treatment, seasonality, and G6PD deficiency. Journal of Theoretical Biology. 2013;7:25–34. doi: 10.1016/j.jtbi.2012.08.024.
    1. Coatney GR, Cooper WC, Young MD. Studies in human malaria. XXX. A summary of 204 sporozoite-induced infections with the Chesson strain of Plasmodium vivax. Journal of the National Malaria Society. 1950;9:381–396.
    1. Collins WE, Jeffery GM, Roberts JM. A retrospective examination of anemia during infection of humans with Plasmodium vivax. The American Journal of Tropical Medicine and Hygiene. 2003;68:410–412.
    1. Coura JR, Suarez-Mutis M, Ladeia-Andrade S. A new challenge for malaria control in Brazil: asymptomatic Plasmodium infection - a review. Memorias Do Instituto Oswaldo Cruz. 2006;101:229–237.
    1. Dezoysa AP, Mendis C, Gamagemendis AC, Weerasinghe S, Herath PR, Mendis KN. A mathematical model for Plasmodium vivax malaria transmission - estimation of the impact of transmission-blocking immunity in an endemic area. Bulletin of the World Health Organization. 1991;69:725–734.
    1. Dietz K, Molineaux L. A malaria model tested in the African savannah. Ninth International Congress on Tropical Medicine and Malaria Athens Volume 1 Abstracts of Invited Papers. 1973:297.
    1. Douglas NM, Anstey NM, Angus BJ, Nosten F, Price RN. Artemisinin combination therapy for vivax malaria. The Lancet Infectious Diseases. 2010;10:405–416. doi: 10.1016/S1473-3099(10)70079-7.
    1. Douglas NM, Nosten F, Ashley EA, Phaiphun L, van Vugt M, Singhasivanon P, White NJ, Price RN. Plasmodium vivax recurrence following falciparum and mixed species malaria: risk factors and effect of antimalarial kinetics. Clinical Infectious Diseases. 2011;52:612–620. doi: 10.1093/cid/ciq249.
    1. Garrett-Jones C. The human blood index of malaria vectors in relation to epidemiological assessment. Bulletin of the World Health Organization. 1964;30:241–261.
    1. Gething PW, Elyazar IR, Moyes CL, Smith DL, Battle KE, Guerra CA, Patil AP, Tatem AJ, Howes RE, Myers MF, George DB, Horby P, Wertheim HF, Price RN, Müeller I, Baird JK, Hay SI. A long neglected world malaria map: Plasmodium vivax endemicity in 2010. PLOS Neglected Tropical Diseases. 2012;6:e1814. doi: 10.1371/journal.pntd.0001814.
    1. Gething PW, Patil AP, Smith DL, Guerra CA, Elyazar IR, Johnston GL, Tatem AJ, Hay SI. A new world malaria map: Plasmodium falciparum endemicity in 2010. Malaria Journal. 2011a;10:378. doi: 10.1186/1475-2875-10-378.
    1. Gething PW, Van Boeckel TP, Smith DL, Guerra CA, Patil AP, Snow RW, Hay SI. Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax. Parasites and Vectors. 2011b;4:92. doi: 10.1186/1756-3305-4-92.
    1. Hankey DD, Jones R, Jnr, Coatney GR, Alving AS, Coker WG, Garrison PL, Donovan WN. Korean vivax malaria. I. Natural history and response to chloroquine. The American Journal of Tropical Medicine and Hygiene. 1953;2:958–969.
    1. Harris I, Sharrock WW, Bain LM, Gray KA, Bobogare A, Boaz L, Lilley K, Krause D, Vallely A, Johnson ML, Gatton ML, Shanks GD, Cheng Q. A large proportion of asymptomatic Plasmodium infections with low and sub-microscopic parasite densities in the low transmission setting of Temotu Province, Solomon Islands: challenges for malaria diagnostics in an elimination setting. Malaria Journal. 2010;9:254. doi: 10.1186/1475-2875-9-254.
    1. Horing RO. Induced and war malaria. The Journal of Tropical Medicine and Hygiene. 1947;50:150–159.
    1. Howes RE, Battle KE, Satyagraha AW, Baird JK, Hay SI. G6PD deficiency: global distribution, genetic variants and primaquine therapy. Advances in Parasitology. 2013;81:133–201. doi: 10.1016/B978-0-12-407826-0.00004-7. In: Hay SI, Price R, Baird JK, editors. Epidemiology of Plasmodium vivax: history, hiatus and hubris, Pt B.
    1. Hulden L, Hulden L. Activation of the hypnozoite: a part of Plasmodium vivax life cycle and survival. Malaria Journal. 2011;10:90. doi: 10.1186/1475-2875-10-90.
    1. Ishikawa H, Ishii A, Nagai N, Ohmae H, Harada M, Suguri S, Leafasia J. A mathematical model for the transmission of Plasmodium vivax malaria. Parasitology International. 2003;52:81–93. doi: 10.1016/S1383-5769(02)00084-3.
    1. Kelly-Hope LA, McKenzie FE. The multiplicity of malaria transmission: a review of entomological inoculation rate measurements and methods across sub-Saharan Africa. Malaria Journal. 2009;8:19. doi: 10.1186/1475-2875-8-19.
    1. Kim S, Nguon C, Guillard B, Duong S, Chy S, Sum S, Nhem S, Bouchier C, Tichit M, Christophel E, Taylor WR, Baird JK, Menard D. Performance of the CareStart (TM) G6PD deficiency screening test, a point-of-care diagnostic for primaquine therapy screening. PLOS ONE. 2011;6:e28357. doi: 10.1371/journal.pone.0028357.
    1. Koepfli C, Ross A, Kiniboro B, Smith TA, Zimmerman PA, Siba P, Mueller I, Felger I. Multiplicity and diversity of Plasmodium vivax infections in a highly endemic region in Papua New Guinea. PLOS Neglected Tropical Diseases. 2011;5:e1424. doi: 10.1371/journal.pntd.0001424.
    1. Koepfli C, Colborn KL, Kiniboro B, Lin E, Speed TP, Siba PM, Felger I, Mueller I. A high force of Plasmodium vivax blood-stage infection drives the rapid acquisition of immunity in Papua New Guinean children. PLOS Neglected Tropical Diseases. 2013;7:e2403. doi: 10.1371/journal.pntd.0002403.
    1. Llanos-Cuentas A, Lacerda MV, Rueangweerayut R, Krudsood S, Gupta SK, Kochar SK, Arthur P, Chuenchom N, Möhrle JJ, Duparc S, Ugwuegbulam C, Kleim JP, Carter N, Green JA, Kellam L. Tafenoquine plus chloroquine for the treatment and relapse prevention of Plasmodium vivax malaria (DETECTIVE): a multicentre, double-blind, randomised, phase 2b dose-selection study. Lancet. 2014;383:1049–1058. doi: 10.1016/S0140-6736(13)62568-4.
    1. Lover AA, Coker RJ. Quantifying effect of geographic location on epidemiology of Plasmodium vivax malaria. Emerging Infectious Diseases. 2013;19:1058–1065. doi: 10.3201/eid1907.121674.
    1. Lover AA, Zhao X, Gao Z, Coker RJ, Cook AR. The distribution of incubation and relapse times in experimental human infections with the malaria parasite Plasmodium vivax. BMC Infectious Diseases. 2014;14:539. doi: 10.1186/1471-2334-14-539.
    1. Macdonald G. The analysis of equilibrium in malaria. Tropical Diseases Bulletin. 1952a;49:813–829.
    1. Macdonald G. The analysis of the sporozoite rate. Tropical Diseases Bulletin. 1952b;49:569–586.
    1. Malato Y, Naqvi S, Schuermann N, Ng R, Wang B, Zape J, Kay MA, Grimm D, Willenbring H. Fate tracing of mature hepatocytes in mouse liver homeostasis and regeneration. The Journal of Clinical Investigation. 2011;121:4850–4860. doi: 10.1172/JCI59261.
    1. malERA Consultative Group on Diagnoses and Diagnostics A research agenda for malaria eradication: diagnoses and diagnostics. PLOS Medicine. 2011;8:e1000396. doi: 10.1371/journal.pmed.1000396.
    1. malERA Consultative Group on Modeling A research agenda for malaria eradication: modeling. PLOS Medicine. 2011;8:e1000403. doi: 10.1371/journal.pmed.1000403.
    1. Medica DL, Sinnis P. Quantitative dynamics of Plasmodium yoelii sporozoite transmission by infected Anopheline mosquitoes. Infection and Immunity. 2005;73:4363–4369. doi: 10.1128/IAI.73.7.4363-4369.2005.
    1. Molineaux L, Diebner HH, Eichner M, Collins WE, Jeffery GM, Dietz K. Plasmodium falciparum parasitaemia described by a new mathematical model. Parasitology. 2001;122:379–391. doi: 10.1017/S0031182001007533.
    1. Mueller I, Galinski MR, Baird JK, Carlton JM, Kochar DK, Alonso PL, del Portillo HA. Key gaps in the knowledge of Plasmodium vivax, a neglected human malaria parasite. The Lancet Infectious Diseases. 2009a;9:555–566. doi: 10.1016/S1473-3099(09)70177-X.
    1. Mueller I, Galinski MR, Tsuboi T, Arevalo-Herrera M, Collins WE, King CL. Natural acquisition of immunity to Plasmodium vivax: epidemiological observations and potential targets. Advances in Parasitology. 2013;81:77–131. doi: 10.1016/B978-0-12-407826-0.00003-5.
    1. Mueller I, Widmer S, Michel D, Maraga S, McNamara DT, Kiniboro B, Sie A, Smith TA, Zimmerman PA. High sensitivity detection of Plasmodium species reveals positive correlations between infections of different species, shifts in age distribution and reduced local variation in Papua New Guinea. Malaria Journal. 2009b;8:41. doi: 10.1186/1475-2875-8-41.
    1. Price RN, von Seidlein L, Valecha N, Nosten F, Baird JK, White NJ. Global extent of chloroquine-resistant Plasmodium vivax: a systematic review and meta-analysis. The Lancet Infectious Diseases. 2014;14:982–991. doi: 10.1016/S1473-3099.
    1. Reiner RC, Jnr, Perkins TA, Barker CM, Niu T, Fernando Chaves L, Ellis AM, George DB, Le Menach A, Pulliam JR, Bisanzio D, Buckee C, Chiyaka C, Cummings DA, Garcia AJ, Gatton ML, Gething PW, Hartley DM, Johnston G, Klein EY, Michael E, Lindsay SW, Lloyd AL, Pigott DM, Reisen WK, Ruktanonchai N, Singh BK, Tatem AJ, Kitron U, Hay SI, Scott TW, Smith DL. A systematic review of mathematical models of mosquito-borne pathogen transmission: 1970-2010. Journal of the Royal Society, Interface. 2013;10:20120921. doi: 10.1098/rsif.2012.0921.
    1. Roy M, Bouma MJ, Ionides EL, Dhiman RC, Pascual M. The potential elimination of Plasmodium vivax malaria by relapse treatment: insights from a transmission model and surveillance data from NW India. PLOS Neglected Tropical Diseases. 2013;7:e1979. doi: 10.1371/journal.pntd.0001979.
    1. Sattabongkot J, Tsuboi T, Zollner GE, Sirichaisinthop J, Cui LW. Plasmodium vivax transmission: chances for control? Trends in Parasitology. 2004;20:192–198. doi: 10.1016/j.pt.2004.02.001.
    1. Shanks GD, White NJ. The activation of vivax malaria hypnozoites by infectious diseases. The Lancet Infectious Diseases. 2013;13:900–906. doi: 10.1016/S1473-3099(13)70095-1.
    1. Smith DL, Battle KE, Hay SI, Barker CM, Scott TW, McKenzie FE. Ross, Macdonald, and a theory for the dynamics and control of mosquito-transmitted pathogens. PLOS Pathogens. 2012;8:e1002588. doi: 10.1371/journal.ppat.1002588.
    1. Smith DL, Drakeley CJ, Chiyaka C, Hay SI. A quantitative analysis of transmission efficiency versus intensity for malaria. Nature Communications. 2010;1:108. doi: 10.1038/ncomms1107.
    1. Smith DL, Dushoff J, Snow RW, Hay SI. The entomological inoculation rate and Plasmodium falciparum infection in African children. Nature. 2005;438:492–495. doi: 10.1038/nature04024.
    1. Smith DL, Perkins TA, Reiner RC, Jnr, Barker CM, Niu T, Chaves LF, Ellis AM, George DB, Le Menach A, Pulliam JR, Bisanzio D, Buckee C, Chiyaka C, Cummings DA, Garcia AJ, Gatton ML, Gething PW, Hartley DM, Johnston G, Klein EY, Michael E, Lloyd AL, Pigott DM, Reisen WK, Ruktanonchai N, Singh BK, Stoller J, Tatem AJ, Kitron U, Godfray HC, Cohen JM, Hay SI, Scott TW. Recasting the theory of mosquito-borne pathogen transmission dynamics and control. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2014;108:185–197. doi: 10.1093/trstmh/tru026.
    1. Snounou G, White NJ. The co-existence of Plasmodium: sidelights from falciparum and vivax malaria in Thailand. Trends in Parasitology. 2004;20:333–339. doi: 10.1016/j.pt.2004.05.004.
    1. Tarning J, Thana P, Phyo AP, Lwin KM, Hanpithakpong W, Ashley EA, Day NP, Nosten F, White NJ. Population pharmacokinetics and antimalarial pharmacodynamics of piperaquine in patients with Plasmodium vivax malaria in Thailand. CPT: Pharmacometrics & Systems Pharmacology. 2014;3:e132. doi: 10.1038/psp.2014.29.
    1. Wearing HJ, Rohani P, Keeling MJ. Appropriate models for the management of infectious diseases. PLOS Medicine. 2005;2:e174. doi: 10.1371/journal.pmed.0020174.
    1. Wells TN, Burrows JN, Baird JK. Targeting the hypnozoite reservoir of Plasmodium vivax: the hidden obstacle to malaria elimination. Trends in Parasitology. 2010;26:145–151. doi: 10.1016/j.pt.2009.12.005.
    1. White MT, Bejon P, Olotu A, Griffin JT, Riley EM, Kester KE, Ockenhouse CF, Ghani AC. The relationship between RTS, S vaccine-induced antibodies, CD4(+) T cell responses and protection against Plasmodium falciparum infection. PLOS ONE. 2013;8:e61395. doi: 10.1371/journal.pone.0061395.
    1. White NJ. Determinants of relapse periodicity in Plasmodium vivax malaria. Malaria Journal. 2011;10:297. doi: 10.1186/1475-2875-10-297.

Source: PubMed

3
Abonnere