Literature DB >> 34107048

Infectivity of patent Plasmodium falciparum gametocyte carriers to mosquitoes: establishing capacity to investigate the infectious reservoir of malaria in a low-transmission setting in The Gambia.

Abdullahi Ahmad1,2, Harouna M Soumare1, Muhammed M Camara1, Lamin Jadama1, Pa Modou Gaye1, Haddy Bittaye1, John Bradley3, Jane Achan1, Teun Bousema4, Umberto D'Alessandro1, Chris Drakeley5, Marta Moreno5.   

Abstract

BACKGROUND: Understanding the human malaria infectious reservoir is important for elimination initiatives. Here, we implemented mosquito membrane feeding experiments to prepare for larger studies to quantify the transmission potential and relative contribution of the human infectious reservoir.
METHODS: Patients with clinical malaria attending four health facilities with at least 16 Plasmodium falciparum gametocytes per μL were recruited during the 2018 transmission season. Infectiousness to mosquitoes was assessed by direct membrane feeding assay (DMFA). We compared our results with a Bayesian predictive model to investigate the relationship between infectiousness and gametocyte density and explore the impact of fever on gametocyte infectivity.
RESULTS: A total of 3177 suspected malaria cases were screened; 43.3% (1376) had microscopically patent P. falciparum parasites and 3.6% (114) of them had gametocytes. Out of 68 DMFAs, 38 (55.9%) resulted in at least one infected mosquito, with a total of 15.4% (1178/7667) of mosquitoes infected with 1-475 oocysts per gut. The relationship between mosquito infection prevalence and gametocytaemia was similar to other African settings and negatively associated with fever (OR: 0.188, 95% CI 0.0603 to 0.585, p=0.0039).
CONCLUSIONS: Among symptomatic malaria patients, fever is strongly associated with transmission failure. Future studies can use DMFA to better understand the human malaria reservoir in settings of low endemicity in The Gambia and inform malaria elimination initiatives.
© The Author(s) 2021. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

Entities:  

Keywords:  zzm321990 Anopheles coluzziizzm321990 ; zzm321990 Plasmodium falciparumzzm321990 ; The Gambia; direct membrane feeding assays; gametocytes

Mesh:

Year:  2021        PMID: 34107048      PMCID: PMC8643495          DOI: 10.1093/trstmh/trab087

Source DB:  PubMed          Journal:  Trans R Soc Trop Med Hyg        ISSN: 0035-9203            Impact factor:   2.184


Introduction

Despite the extraordinary progress in reducing the global malaria burden achieved in the last 2 decades, progress towards elimination has stalled in recent years.[1] Malaria transmission has not been interrupted despite high coverage of standard control intervention such as insecticide-treated bed nets and novel tools may be needed to further reduce transmission.[2] The successful transmission of the infection from the human host to the mosquito vector depends on the presence of infectious gametocytes in the human peripheral blood.[3] These gametocytes, when ingested by mosquitoes during the blood meal, can develop into ookinetes, oocysts and, finally, into sporozoite stages in the salivary glands, rendering these mosquitoes infectious to humans in subsequent blood meals. Transmission to mosquitoes is associated with gametocyte density[4] but also with less clearly parametrised factors such as gametocyte maturity,[5] sex ratio[6,7] and human characteristics including immune factors[8] and potentially inflammatory markers associated with clinical malaria episodes.[9] The assessment of malaria transmission potential depends on mosquito-feeding experiments that typically allow mosquitoes to feed on blood from infected individuals.[10,11] The most frequently used assays are the direct skin feeding assay and direct membrane feeding assay (DMFA), with the former resulting in slightly higher mosquito infection rates.[12] The difference between DMFA and direct skin feeding assay is probably not due to gametocyte sequestration in skin tissue,[13,14] as long hypothesised,[15] but rather to technical challenges that prevent premature gametocyte activation after phlebotomy[16] and anticoagulants used in blood collection.[17] The use of DMFA, instead of direct skin feeding assay, allows investigating infectivity in all age groups, using larger numbers of mosquitoes to be examined per experiment and the direct quantification of gametocyte densities in the blood meal used.[18] DMFA experiments should be standardised, as slight variations in experimental procedures may have important implications for the experiments’ outcome and complicate comparisons between different studies.[11] The Gambia has been extremely successful in reducing its malaria burden over the last 20 y thanks to scaling up malaria control interventions.[19] However, there is still significant residual malaria in the eastern part of the country,[20] maintained by a substantial human reservoir of infection, with many low-density infections.[21] Quantifying the transmission potential of the human reservoir of infection is important to support elimination initiatives; more specifically, the contribution of low-density infections to onward transmission currently remains unknown.[22,23] This requires sensitive DMFA experiments. In the current study, we implemented mosquito membrane-feeding assays in the Upper River Region (URR), the region in The Gambia contributing to most malaria cases, and upon which we rely for future epidemiological studies assessing the human malaria reservoir. The success of the experiments was assessed by comparing infectiousness and mosquito infectivity rates when feeding on patent Plasmodium falciparum gametocyte carriers. Also, we contrasted our results with those previously obtained in a predictive model on gametocyte infectiousness in relation to gametocyte density. Finally, we evaluated the association of fever and other factors to the infectiousness of local gametocyte carriers.

Methods

Screening and enrolment

The study was conducted in the URR in eastern Gambia, an area with low to moderate malaria transmission (13.1%, P. falciparum prevalence by PCR[21]) and with the highest incidence of clinical malaria in the country, that is, 0.8–1.0 P. falciparum episodes per person-year at risk.[20] From September 2018 to January 2019, patients with suspected malaria attending four health facilities (Basse Hospital and Sabi, Sotuma Sere, Gambissara health centres) were screened for eligibility. Patients aged ≥2 y had a blood sample collected for thick blood films. Microscopy-positive cases with a P. falciparum gametocyte count of at least 1 gametocyte per 500 white blood cells (WBC) (i.e. 16 gametocytes/μL), regardless of asexual parasite count, were enrolled in the study after providing written informed consent and, where applicable, written assent. Severe malaria patients and those with a history of sulfadoxine-pyrimethamine and/or amodiaquine use in the previous 7 d were excluded. Parasite density per microlitre was estimated by assuming 8000 WBC per microlitre.

Insectary

The Anopheles coluzzii colony was established in our insectary in May 2018 with eggs acquired from Institute Pasteur de Dakar, Senegal. The insectary building is divided into four working areas for larvae rearing (one room, 4×3 m2, temperature 39°C and relative humidity [RH] 70±10%), adult maintenance (one room for colony and for infectious mosquito storage, 4×3 m2, temperature 27±2°C and RH 70±10%) and two additional spaces for feeding experiments (3×2 m2, temperature 27±2°C and RH 70±10%) and mosquito dissections (4×3 m2, ambient temperature). Adult mosquitoes were maintained with 10% glucose solution and Hemotek system (Hemotek Ltd, Blackburn, UK) was used for blood feeding and eggs production. The yield of adult mosquitoes per week is 10 000 with the capacity to conduct up to five independent membrane feeding experiments per day. The access of the insectary is restricted to users (by PIN keypad) and electric flycatcher traps are located in any potential exit routes from the insectary.

Membrane feeding

Enrolled participants were accompanied within 1 h of enrolment by a health worker to the insectary at the Medical Research Council Unit, The Gambia, field station in Basse for DMFA experiments. A study nurse closely monitored symptoms in readiness to provide immediate treatment if needed; otherwise participants were treated with artemether-lumefantrine immediately after phlebotomy, in line with the national guidelines for treating uncomplicated malaria in The Gambia. An additional thick smear was prepared immediately before mosquito feeding to identify any differences in gametocyte density since screening. At the insectary, venous blood samples were collected in lithium-heparin 4-mL tubes (BD Vacutainer Franklin Lakes, NJ, US). Immediately after phlebotomy, three aliquots of 400–500 μL of whole blood were transferred to glass feeders and approximately 50 female A. coluzzii mosquitoes (aged 3–6 d) per feeder (150 in total) were allowed to feed through a parafilm membrane for 20 min. In preparation for these experiments, mosquitoes were starved overnight (minimum 8 h).[24] All the mosquito-feeding experiments were conducted from 10:00 h to 16:00 h. Partially fed and non-fed mosquitoes were removed and only fully blood-fed mosquitoes were kept in the insectary at 27±2°C, 70±10% RH and 12L:12D photoperiod (12 h of light and 12 h of darkness per day), with access to glucose solution until dissection, for 7–8 d postblood meal. Mosquito midguts were dissected and microscopically examined to assess the presence of oocysts (mercurochrome stained 0.5%); mosquito infection results were recorded for separate feeders/cups to allow analysis of variability between feeders.

Sample size calculation

This study was a preparatory study to ensure that mosquito-feeding assay performance justified a larger study on the human infectious reservoir of infection. We calculated the sample size on the assumption that at least half of the patients with microscopy-detectable gametocytes would infect ≥1 mosquito if each experiment examined approximately 50 mosquitoes.[12] This is in line with more recent assessments of gametocyte density by gametocyte-specific Pfs25 mRNA by qRT-PCR and the relationship with mosquito infectiousness.[4] Recruiting 50 patients with a gametocyte density of at least 16/μL would provide at least 25 infectious individuals (95% CI 23 to 51% and thus including the expected 50%), assuming a total of at least 10% infected mosquitoes.

Statistical analysis

The main study outcomes were the proportions of infected mosquitoes (mosquitoes with ≥1 oocyst) and infectious individuals (individuals who infected at least one mosquito). Baseline measures of parasitaemia and gametocytaemia and the distribution of parasites by age were compared using a non-parametric Kruskal– Wallis test. A mixed effects logistic regression model using the lme4 package via the glmer function in R v. 3.0.2 (Vienna, Austria) was used to investigate the association of age (used as a categorical variable to be consistent with our previous assessments of infectivity), gender, fever (≥37.5°C), date of the mosquito-feeding experiment, asexual parasitaemia (log-transformed) and gametocytaemia (log-transformed) with infectiousness. This was done at the level of the mosquito, with infection status as the dependent variable and a random effect for the study participant. To further assess the relationship between transmission and gametocyte density, the curve obtained from a Bayesian predictive model, using Bayesian Markov Chain Monte Carlo methods, was fitted and a graph was drawn to check if the relationship was similar to previously observed results.[4]

Results

From September 2018 to January 2019, a total of 3177 suspected malaria cases were screened for eligibility and 43.3% (1376) had a confirmed P. falciparum infection. About half of them (50.8%, 688/1354) were females and the median age of patients with P. falciparum infection was 12 y (IQR: 7–20) (Table 1). Asexual parasite density was similar between children aged <5 y (4000 parasites/μL; IQR: 800–14 160) and >5 y (upper limit 15 y) (4160 parasites/μL, IQR: 800–12 000) but significantly lower in adults (640 parasites/μL, IQR: 0–3520) (p=0.0104) (Table 1).
Table 1.

Summary of participant characteristics

Asexual parasite carriers[1] (n=1354)Gametocyte carriers[2] (n=114)
Age (in y), median (IQR)12 (7–20)10 (6–15)
Age group (in y), n (%)
 2 to 5131 (9.7)18 (15.8)
 >5 to 15704 (51.9)67 (58.8)
 >15519 (38.3)29 (25.4)
Gender, n (%)
 Male666 (49.2)66 (57.9)
Asexual parasites per μL, median (IQR)7520 (1440–28 640)2640 (520–7480)
Asexual parasites per μL per age group (in y), median (IQR)
 2 to 57360 (1360–33 840)4000 (800–14 160)a
 >5 to 1513 280 (2080–37 320)4160 (800–12 000)b
 >154320 (1280–15 680)640 (0–3520)c
Gametocyte density per μL, median (IQR)-64 (32–192)
Gametocyte density per μL per age group (in y), median (IQR)
 2 to 5-80 (40–200)
 >5 to 15-64 (32–240)
 >15-32 (16–268)

1All the asexual parasite carriers were included regardless of the presence of gametocytes. Individuals without asexual parasites detected by microscopy (n=21) were not included in this category.

2All gametocyte carriers identified in the health facilities were included.

a,b,c Differences between asexual parasite carriers and gametocyte carriers were statistically significant (p<0.001).

Summary of participant characteristics 1All the asexual parasite carriers were included regardless of the presence of gametocytes. Individuals without asexual parasites detected by microscopy (n=21) were not included in this category. 2All gametocyte carriers identified in the health facilities were included. a,b,c Differences between asexual parasite carriers and gametocyte carriers were statistically significant (p<0.001). Gametocyte prevalence by microscopy among all parasite carriers was 8.3% (114/1376); 18.4% (21/114) participants carried only gametocytes (i.e. no asexual stages) (Table 1). Gametocyte prevalence decreased with age: 13.3% (18/135) of children aged <5 y, 9.4% (67/713) in the 5–15 y age group and 5.5% in adults (29/527). Children aged <5 y tended to have higher gametocyte density (80 gametocytes/μL, IQR: 40–200) than children aged 5–15 y (64 gametocytes/μL, IQR: 32–240) and adults (32 gametocytes/μL, IQR: 16–268) (p=0.654) (Table 1). Overall, gametocyte density increased significantly as the transmission season progressed (median gametocytes/μL: 26, 74, 296 and 474 in September [n=4], October [n=23], November [n=39] and December [n=43], respectively; p=0.034).

Membrane feeding experiments

Out of the 114 patients detected with gametocytes at the health centres, 19 declined to participate in the study, 4 had complicated malaria (one of the exclusion criteria), 9 participants were not included due to exceeding the insectary capacity at the moment of recruitment and 9 could not be conducted due to mosquito husbandry issues. Finally, for 5 participants there was no parent or guardian present to sign the informed consent (e.g. minors accompanied to the health facility by siblings or other family member with no custody), therefore, they were not recruited for the study. Of the 68 DMFA experiments performed, more than half of the participants infected at least one mosquito (55.9%, 38/68) (Table 2). Overall, mosquito feeding rate (94.2%, 9610/10 200) and survival until the day of dissection were high (79.8%, 7667/9610). Of all mosquitoes analysed, 15.4% were infected with P. falciparum (1178/7667) with a geometric mean of 2 oocysts per mosquito (range 1–475 oocysts/midgut) and a mean of 114 mosquitoes per participant were dissected (range 72–139). From the feedings with at least one infected mosquito per experiment (n=38), oocyst data were grouped by feeder (one, two or three) and no significant differences were detected in the number of oocysts per mosquito between the three groups of feeders (Kruskal–Wallis rank-sum test, p=0.55).
Table 2.

Summary of membrane feeding experiments and infectivity by age group

Age group, in y, n
2–5 (n=7)>5–15 (n=40)>15 (n=21)All ages (n=68)p
Asexual parasite density per μL, median (IQR)1120 (400–9520)4480 (1200– 145 600)1440 (0–4160)3040 (480–8960)0.096b
Gametocyte density per μL, median (IQR)128 (40–208)120 (32–256)32 (16–224)80 (28–244)0.537b
Fever (≥37.5°C), %57.1 (4/7)37.5 (15/40)42.9 (9/21)41.1 (28/68)0.106c
Infectious individuals, %57.1 (4/7)62.5 (25/40)42.9 (9/21)55.9 (38/68)0.147c
Infected mosquitoes, %8.2 (67/815)17.9 (804/4495)13.0 (307/2357)15.4 (1178/7667)0.170c
Infected mosquitoes, %[a]14.3 (67/470)29.0 (804/2774)30.2 (307/1016)27.7 (1178/4260)0.039*,c
Mean infection intensity (range)3.5 (1–18)9.1 (1–475)2.3 (1–25)4.9 (1–475)0.317b
Dissected mosquitoes per feed, median (IQR)120 (111.5–130.5)112 (109–118.5)114 (108–118)114 (109–120)0.860c

aMedian, only data from infectious individuals included; bKruskal–Wallis test to assess between-group difference; cχ2 test to assess between group difference.

*p<0.05.

Summary of membrane feeding experiments and infectivity by age group aMedian, only data from infectious individuals included; bKruskal–Wallis test to assess between-group difference; cχ2 test to assess between group difference. *p<0.05. The relationship between gametocytaemia and mosquito infectiousness was further investigated. Opposite to gametocyte density distributions in different age groups, mosquito infection rate was significantly lower in children aged <5 y (14.3%) than in older children (29.0%) and adults (30.2%) (p=0.039) (Table 2). As expected, gametocyte densities were higher when slides were read specifically for enumeration in the insectary compared with initial screening at facilities to simply identify the presence of gametocytes (Wilcoxon signed rank-sum test, p<0.001). Infectiousness varied by month, between 33% in September and 52% in December, and peaked in November (71%). The proportion of infected mosquitoes increased rapidly beyond 100 gametocytes per microlitre (Figure 1). At the time of recruitment, 41.2% (28/68) participants had fever (axillary T≥37.5°C) (median 37.2°C, IQR: 36.8–37.9°C). Mosquito infectiousness was negatively associated with fever in the regression model (OR: 0.188, 95% CI 0.0603 to 0.585, p=0.0039) and no significant association was detected with the other covariates in the regression model (age, gender, gametocytaemia, parasitaemia or the date of infection).
Figure 1.

Relationship between total gametocyte density and the percentage of mosquitoes that develop oocysts. Red dots are observations from this study: open red dots correspond with febrile participants and solid red dots with non-febrile participants; the solid red line indicates the best-fit model, with the light red shaded area indicating the 95% CI around this line. Grey open dots correspond to observations from a previous study[4]; the solid grey line indicates the best-fit model, with the light grey shaded area indicating the 95% CI around this line.

Relationship between total gametocyte density and the percentage of mosquitoes that develop oocysts. Red dots are observations from this study: open red dots correspond with febrile participants and solid red dots with non-febrile participants; the solid red line indicates the best-fit model, with the light red shaded area indicating the 95% CI around this line. Grey open dots correspond to observations from a previous study[4]; the solid grey line indicates the best-fit model, with the light grey shaded area indicating the 95% CI around this line.

Discussion

Membrane-feeding assays are an essential tool to study factors influencing malaria transmission and to identify and quantify the human infectious reservoir. The use of these assays in the field requires a standardisation of procedures to minimise variability and mimic natural transmission conditions.[12,24] In this study, we established DMFAs in an area with low-moderate transmission in The Gambia and we qualified the experiments by assessing the mosquito infectivity of P. falciparum gametocytes from patent symptomatic infections. The probability of a mosquito becoming infected after feeding on symptomatic P. falciparum gametocyte carriers’ blood was >55%, a figure similar to those (58.2% and 60.7%) observed earlier in Farafenni, The Gambia.[25,26] In another study in Senegal with similar transmission intensity, >44% of the patent gametocyte carriers (aged ≥5 y) infected at least one mosquito.[27] A wide range of mosquito infectiousness has been recorded across different transmission intensities. For example, in Burkina Faso, the proportion of children aged <15 y with patent gametocytaemia infecting at least one mosquito was 68.2%[28]; other studies have reported rates ranging from 74 to 84%.[29] Conversely, infectivity of P. falciparum in other low endemic non-African settings, such as Cambodia, can be significantly lower, with up to 6.2% of patent infections successfully transmitted to mosquitoes.[30] Our study is in line with previous findings where prevalence of gametocytaemia was greatest in patients with lower asexual parasite density.[31] Lower asexual parasite density has been identified as one predictor of gametocytaemia and may reflect chronic infections more likely to have circulating gametocytes. About 40% of gametocyte carriers in our study had fever at recruitment. Considering the delay in gametocyte production upon incident infection, it is possible that either gametocytes arose from an earlier infection (and fever at the time of sampling was caused by a more recent malaria infection) or that there was a non-malaria cause of fever in the presence of gametocytes. Gametocyte infectiousness was lower among gametocyte carriers with confirmed fever (T≥37.5°C) at the moment of mosquito feeding, as shown elsewhere.[32] This apparent decrease in mosquito infection rates has been associated with cytokine-mediated inactivation of gametocytes.[9] In our study, the higher infectiousness in children aged <5 y and school-age children (5–15 y) compared with older individuals (>15 y) was consistent with younger children being generally more infectious to mosquitoes.[33] Consistent with other studies, we observed a positive correlation between gametocyte density and mosquito infection.[4,12] However, some individuals with high gametocyte densities did not infect any mosquitoes.[12,34] Gametocyte carriage or density alone cannot predict mosquito infectivity, and highlight the need to directly quantify the transmissibility of infections. Such assessments of gametocyte infectiousness have been predominantly performed in areas of intense malaria transmission.[35] The human infectious reservoir remains particularly poorly understood in areas approaching elimination, where low-density infections are prevalent.[33] This study included only symptomatic individuals, thus it does not represent the whole malaria transmission spectrum in the study area. In addition, individuals with subpatent gametocytaemia were probably excluded as no molecular analysis for its detection was carried out. Nevertheless, our sampling strategy was designed to demonstrate the implementation of DMFAs for measuring the infectivity of natural gametocyte carriers in comparison with previous studies.[12] DMFA implementation is limited by the required short time between blood collection and mosquito feeding to ensure gametocyte infectivity.[36] This issue can be logistically solved by bleeding infected individuals close to the insectary, although this may discourage study participation, or by developing procedures to transport blood samples (e.g. stable environmental variables such as temperature) from the place of bleeding to the insectary.[37] As transmission declines in The Gambia, the proportion of infections with low parasite density may increase. Having successfully implemented DMFAs will enable further research to understand the contribution of low-parasite density infections to residual transmission in an area near to elimination such as The Gambia.[23,38]

Conclusions

Assessing the human malaria infectious reservoir is crucial for elimination initiatives. This study yielded results in line with other studies and prior associations of gametocyte density and mosquito infection by DMFAs. Thus, the assay can be used in future studies to quantify the transmission potential and evaluate the impact of transmission-blocking interventions.
  35 in total

1.  Estimates of the infectious reservoir of Plasmodium falciparum malaria in The Gambia and in Tanzania.

Authors:  C J Drakeley; N I Akim; R W Sauerwein; B M Greenwood; G A Targett
Journal:  Trans R Soc Trop Med Hyg       Date:  2000 Sep-Oct       Impact factor: 2.184

Review 2.  Epidemiology and infectivity of Plasmodium falciparum and Plasmodium vivax gametocytes in relation to malaria control and elimination.

Authors:  Teun Bousema; Chris Drakeley
Journal:  Clin Microbiol Rev       Date:  2011-04       Impact factor: 26.132

3.  Infectiousness of the human population to Anopheles arabiensis by direct skin feeding in an area hypoendemic for malaria in Senegal.

Authors:  Abdoulaye Gaye; Teun Bousema; Gadiaga Libasse; Mamadou O Ndiath; Lassana Konaté; Musa Jawara; Ousmane Faye; Cheikh Sokhna
Journal:  Am J Trop Med Hyg       Date:  2015-01-26       Impact factor: 2.345

4.  Contribution to Malaria Transmission of Symptomatic and Asymptomatic Parasite Carriers in Cambodia.

Authors:  Amélie Vantaux; Reingsey Samreth; Eakpor Piv; Nimol Khim; Saorin Kim; Laura Berne; Sophy Chy; Dysoley Lek; Sovannaroth Siv; Walter R Taylor; Didier Ménard
Journal:  J Infect Dis       Date:  2018-04-23       Impact factor: 5.226

5.  Studies on the use of a membrane feeding technique for infecting Anopheles gambiae with Plasmodium falciparum.

Authors:  P M Graves
Journal:  Trans R Soc Trop Med Hyg       Date:  1980       Impact factor: 2.184

6.  Effects of anticoagulants on Plasmodium vivax oocyst development in Anopheles albimanus mosquitoes.

Authors:  Yezid Solarte; Maria del Rosario Manzano; Leonardo Rocha; Zuleyma Castillo; Mark A James; Sócrates Herrera; Myriam Arévalo-Herrera
Journal:  Am J Trop Med Hyg       Date:  2007-08       Impact factor: 2.345

7.  The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015.

Authors:  S Bhatt; D J Weiss; E Cameron; D Bisanzio; B Mappin; U Dalrymple; K Battle; C L Moyes; A Henry; P A Eckhoff; E A Wenger; O Briët; M A Penny; T A Smith; A Bennett; J Yukich; T P Eisele; J T Griffin; C A Fergus; M Lynch; F Lindgren; J M Cohen; C L J Murray; D L Smith; S I Hay; R E Cibulskis; P W Gething
Journal:  Nature       Date:  2015-09-16       Impact factor: 49.962

8.  Investigating the impact of enhanced community case management and monthly screening and treatment on the transmissibility of malaria infections in Burkina Faso: study protocol for a cluster-randomised trial.

Authors:  Katharine A Collins; Alphonse Ouedraogo; Wamdaogo Moussa Guelbeogo; Shehu S Awandu; Will Stone; Issiaka Soulama; Maurice S Ouattara; Apollinaire Nombre; Amidou Diarra; John Bradley; Prashanth Selvaraj; Jaline Gerardin; Chris Drakeley; Teun Bousema; Alfred Tiono
Journal:  BMJ Open       Date:  2019-09-13       Impact factor: 2.692

9.  Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission.

Authors:  Julia Mwesigwa; Hannah Slater; John Bradley; Binta Saidy; Fatima Ceesay; Charles Whittaker; Ballah Kandeh; Davis Nkwakamna; Chris Drakeley; Jean-Pierre Van Geertruyden; Teun Bousema; Jane Achan; Umberto D'Alessandro
Journal:  Malar J       Date:  2019-08-27       Impact factor: 2.979

Review 10.  Gametocyte Sex Ratio: The Key to Understanding Plasmodium falciparum Transmission?

Authors:  Fitsum G Tadesse; Lisette Meerstein-Kessel; Bronner P Gonçalves; Chris Drakeley; Lisa Ranford-Cartwright; Teun Bousema
Journal:  Trends Parasitol       Date:  2018-12-26
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  1 in total

1.  Asymptomatic School-Aged Children Are Important Drivers of Malaria Transmission in a High Endemicity Setting in Uganda.

Authors:  John Rek; Sara Lynn Blanken; Joseph Okoth; Daniel Ayo; Ismail Onyige; Eric Musasizi; Jordache Ramjith; Chiara Andolina; Kjerstin Lanke; Emmanuel Arinaitwe; Peter Olwoch; Katharine A Collins; Moses R Kamya; Grant Dorsey; Chris Drakeley; Sarah G Staedke; Teun Bousema; Melissa D Conrad
Journal:  J Infect Dis       Date:  2022-09-04       Impact factor: 7.759

  1 in total

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