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  • Open Access

High proportions of asymptomatic and submicroscopic Plasmodium vivax infections in a peri-urban area of low transmission in the Brazilian Amazon

  • 1, 2Email author,
  • 3,
  • 2, 4,
  • 1,
  • 1,
  • 1,
  • 1, 2,
  • 5,
  • 3, 6, 7,
  • 8, 9,
  • 4,
  • 1, 2Email author,
  • 3, 10 and
  • 1, 2, 11
Contributed equally
Parasites & Vectors201811:194

https://doi.org/10.1186/s13071-018-2787-7

  • Received: 3 November 2017
  • Accepted: 7 March 2018
  • Published:

Abstract

Background

Population-based studies conducted in Latin America have shown a high proportion of asymptomatic and submicroscopic malarial infections. Considering efforts aiming at regional elimination, it is important to investigate the role of this asymptomatic reservoir in malaria transmission in peri-urban areas. This study aimed to estimate the prevalence of Plasmodium spp. and gametocyte burden on symptomatic and asymptomatic infections in the Brazilian Amazon.

Results

Two cross-sectional household surveys (CS) were conducted including all inhabitants in a peri-urban area of Manaus, western Amazonas State, Brazil. Malaria parasites were detected by light microscopy (LM) and qPCR. Sexual stages of Plasmodium spp. were detected by LM and RT-qPCR. A total of 4083 participants were enrolled during the two surveys. In CS1, the prevalence of Plasmodium vivax infections was 4.3% (86/2010) by qPCR and 1.6% (32/2010) by LM. Fifty percent (43/86) of P. vivax infected individuals (qPCR) carried P. vivax gametocytes. In CS2, 3.4% (70/2073) of participants had qPCR-detectable P. vivax infections, of which 42.9% (30/70) of infections were gametocyte positive. The P. vivax parasite density was associated with gametocyte carriage (P < 0.001). Sixty-seven percent of P. vivax infected individuals and 53.4% of P. vivax gametocyte carriers were asymptomatic.

Conclusions

This study confirms a substantial proportion of asymptomatic and submicroscopic P. vivax infections in the study area. Most asymptomatic individuals carried gametocytes and presented low asexual parasitemia. This reservoir actively contributes to malaria transmission in the Brazilian Amazon, underscoring a need to implement more efficient control and elimination strategies.

Keywords

  • Malaria
  • Plasmodium vivax
  • Asymptomatic infection
  • Submicroscopic infection
  • Gametocyte carriage

Background

The past two decades have witnessed impressive success in the reduction of malaria incidence in Latin America, with the number of confirmed cases decreasing by 31.0% from 2000 to 2015. Nevertheless, malaria remains a major public health concern in endemic countries, with approximately 90 million people being at risk of infection and an estimated 216 million cases worldwide in 2016 [1]. In 2013 more than 40% of malaria cases in Latin America occurred in Brazil and, within that country, more than 99% of all cases were concentrated in the Amazon region [2]. From 2005 to 2015, malaria incidence in Brazil decreased considerably, as evidenced by reductions in Annual Parasite Index (79.2%) and total number of cases (76.5%). This trend was accompanied by an even more pronounced decline in the proportion of Plasmodium falciparum, with Plasmodium vivax predominance progressively increasing to peak at 88.4% of total malaria cases in 2015 [3]. Such an impressive reduction of cases is likely attributable to the governmental program focusing on early case detection and treatment [4]. Despite the relative success of control efforts, malaria transmission still occurs in the Amazon region with major outbreaks recorded in 1999 and 2005 that may have been in part due to deforestation, mining activities and new unplanned rural settlements resulting in environmental changes favouring malaria transmission [2, 5]. After the 1970s, a large migratory influx from the rural zones to the peripheries of bigger cities in the Amazon basin resulted in a precarious and uncontrolled urbanization process, increasing human exposure to anopheline vectors in peri-urban areas [6, 7]. In Brazilian Amazon, Anopheles darlingi is the main malaria vector [8, 9].

Latin America is considered a low to moderate malaria transmission region. Recent population based surveys reported prevalence rates below 6.0% by LM [1014]. PCR analyses revealed higher prevalences, ranging between 5.0–17.0% [1014]. In some studies the majority of infected individuals did not show malaria-related symptoms [12, 15]. These results suggest that a large proportion of infections was submicroscopic and asymptomatic and would not be detected by routine diagnostic methods, although asymptomatic infections are believed to substantially contribute to malaria transmission. Thus, in this renewed elimination era, it may seem appropriate to reconsider the role of the asymptomatic reservoir as a likely source of transmission, especially in low transmission settings. Specifically and actively targeting this reservoir, rather than relying on passive detection of clinically symptomatic malaria infections, may be essential to achieve local elimination.

Most studies examining prevalence of Plasmodium spp. in the Amazon region were carried out in small rural or riverine settlements. Additionally, very few studies assessed the prevalence and density of gametocytes, the parasite stage responsible for transmission from human to mosquito vectors. This study aimed to determine the prevalence of Plasmodium spp. and the gametocyte burden in symptomatic and asymptomatic infections in a peri-urban area in the Brazilian Amazon.

Methods

In order to estimate the reservoir of Plasmodium spp. infected individuals contributing to malaria transmission, we conducted two large-scale cross-sectional surveys in a peri-urban area of Manaus, located in the western part of the Amazonas State, Brazil. The presence of sexual parasite stages in both symptomatic and asymptomatic infected individuals was also investigated.

Study site

The municipality of Manaus is located on the river Rio Negro banks, in the northeast of the Amazonas State. The municipality has an estimated 2,094,301 inhabitants of whom the great majority resides in urban and peri-urban areas [16]. Intensive migration, as well as persisting challenges to maintaining an adequate epidemiological and entomological surveillance, are contributing to the actively ongoing sustained malaria transmission in the region. Risk of infection varies between low and high risk in rural and peri-urban areas. Highest incidence of malaria cases is commonly observed from May to September, in the dry season when water levels are declining [17].

The three communities in which this study was conducted, Brasileirinho, Ipiranga and Puraquequara, are located in the peri-urban area of Manaus (Fig. 1). The main occupation is in the agricultural sector including pisciculture. Many people travel to the city daily for work. There are many places for religious conventions and leisure activities, where people from the city stay for the weekend and public holidays. Malaria infections among these visitors from non-endemic areas of Manaus are common. Sanitation and garbage collection services are not available, water is collected from natural springs or rivers as well as received from a city service. According to a census performed by a field team of Fundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT-HVD) the population of the study area (Brasileirinho, Ipiranga and the northern part of Puraquequara, adjacent to Brasileirinho) was estimated at around 2400 inhabitants in 2012. Each community has access to one malaria clinic specifically conducting malaria diagnosis by microscopy and treatment of cases. Health agents based in this clinic regularly visit homes in order to ensure early detection and treatment of cases. Sporadically they perform active detection of febrile cases in the neighbourhood of confirmed cases.
Fig. 1
Fig. 1

Study area and distribution of malaria infected individuals (red: P. falciparum, blue: P. vivax) enrolled at cross-sectional surveys, detected by qPCR

Study population and survey method

Two cross-sectional surveys were conducted on a household-basis, including all inhabitants of all ages of the study area that were willing to participate in the study. In case of absence of any family members, the field team returned to the respective house for a second time. For each study participant a questionnaire was completed, containing personal information (age, gender, occupation, pregnancy, history of travel), information on malaria preventive measures, previous malaria episodes and current health status. The first cross-sectional survey (CS1) was conducted from mid-November 2012 to beginning of January 2013, at the beginning of the rainy season, and the second one (CS2) from the beginning of August 2013 to mid-September 2013, at the end of the dry season.

Sample collection

Upon participant enrolment, a 300 μl blood sample was collected from each patient via finger puncture using Microtainer® tubes containing EDTA and sodium fluoride (Becton Dickinson, NJ, USA). In infants, blood was obtained by puncture of the heel or toe. Within 1 h of collection, 50 μl of blood was transferred into a reaction tube containing 250 μl of RNAprotect® (QIAGEN, Hilden, Germany) in order to preserve RNA for downstream analyses [18] and 200 μl of whole blood were transferred to another reaction tube. Samples were maintained in cooling boxes until arrival in the laboratory, where the 200 μl sample was separated into red blood cell (RBC) pellet and plasma. All samples were frozen at -80 °C until further processing. If the collected blood volume was< 250 μl, the actual volume was recorded.

In order to assess the submicroscopic proportion of infections, during CS1 two thick blood smears were prepared for all participants. One slide was analysed at the local malaria outpost (for diagnostics purposes only) and the second was analysed by a microscopist at FMT-HVD for confirmation of species and parasitemia. In cases of a positive result, participants were treated by health post staff within 24 h according to the national guidelines of the Ministry of Health [19]. During CS2 only in the case of symptoms related to malaria a thick blood smear was prepared for diagnosis according to the national guidelines. Participants with positive result received prompt treatment.

Classification of infection status

All participants were tested for P. vivax and P. falciparum by qPCR (and in CS1 additionally by LM) to determine positivity of infection. Individuals with body temperature above 37.5 °C at blood collection or in the past 48 h were considered as febrile. An asymptomatic infection was defined as the presence of a malarial infection in the absence of fever and any other malaria related symptoms (chills, sweating, headache, vomit, abdominal pain) at the moment of sample collection, or anytime during the preceding 48 h. Individuals developing symptoms within 30 days after blood collection (data obtained from SIVEP-Malaria database, Information System for Epidemiological Surveillance of Malaria of the Brazilian Ministry of Health) were also considered symptomatic and therefore excluded from the asymptomatic group.

Detection of Plasmodium spp. parasites by light microscopy

Thick blood smears were Giemsa-stained according to World Health Organization guidelines [20]. Numbers of asexual blood stage parasites and gametocytes were determined per 200 leukocytes and parasites per μl were calculated using an assumed density of 6000 leukocytes per μl [21]. For quality control purposes, all slides with positive results and 10% of all negative slides were read by a second microscopist. In case of a positive/negative discrepancy, or when parasitemias were in disagreement by more than 25.0%, the slides were re-read by a third microscopist and only the two most similar results were used for calculation of final parasite density. All PCR positive samples were examined at least twice by LM.

DNA and RNA extraction

Pelleted RBCs obtained from 200 μl blood were resuspended in PBS and genomic DNA was extracted using FavorPrepTM 96-well Genomic DNA Kit (Favorgen, Ping-Tung, Taiwan) according to the manufacturer’s instructions. DNA was eluted with 2 × 100 μl of elution buffer and stored at -20 °C until analysed by PCR. If the amount of whole blood available for DNA extraction was ≤ 100 μl, the DNA volume was vacuum concentrated (Concentrator 5301, Eppendorf, Hamburg, Germany) according to the volume originally collected. RNA from whole blood stored in RNAprotect was extracted by means of the RNeasy® Plus 96 kit (Qiagen, Hilden, Germany) as described elsewhere [18].

Detection of Plasmodium spp. by qPCR and detection of gametocyte-specific transcripts by RT-qPCR

All DNA samples were subjected to QMAL Taqman qPCR to detect Plasmodium spp. by targeting a conserved region of the 18S rRNA gene [18]. QMAL-positive samples were further analysed by Taqman qPCR assays detecting species-specific sequences of 18S rRNA gene of P. falciparum and P. vivax, as previously described [18, 22]. For detection of P. falciparum a modified reverse primer was used (Additional file 1: Table S1) [23]. For quantification of 18S rRNA gene copy numbers, in each experiment three dilutions of plasmids containing the respective region targeted were included in triplicates (102, 104 and 106 copies/μl). All samples positive for P. vivax and/or P. falciparum were included in RT-qPCR assays detecting the respective transcripts of p25 gene (pvs25 in P. vivax and pfs25 in P. falciparum), which is specifically expressed in gametocytes. For quantification of pvs25 and pfs25 transcripts, standard plasmids containing the region targeted by the RT-qPCR were included in each run. All qPCR and RT-qPCR assays were ran in the 7500 Fast Real-Time PCR System (Applied Biosystems, California, USA). Primer and probe sequences, composition of reaction mixes, PCR profiles and the detection limit for each assay are listed in Additional file 1: Table S1, Additional file 2: Table S2 and Additional file 3: Table S3.

Statistical analyses

Questionnaire data were imported into databases using Cardiff TeleForm version 10.4.1 (Cardiff Software). Individual databases were combined in Microsoft Access 2010. Statistical analyses were performed with STATA® 13 (StataCorp LP, College Station, TX, USA). Differences in participant characteristics, parasite prevalence and carriage of gametocyte between the two surveys were analysed by Chi-square (χ2) test (replaced by Fisher’s exact test if necessary). Univariable logistic regression was used to determine risk factors for P. vivax infection and gametocyte positivity. The crude odds ratios (OR) with their respective 95% confidence intervals (95% CI) were determined considering P. vivax infection and gametocyte carriage as the dependent variables. Logistic regression was used for the multivariable analyses and the adjusted ORs (AOR) with 95% CI were also calculated. All variables associated with the outcomes at a significance level of P < 0.20 in the univariable analysis were included in the multivariable analysis. Median comparisons for copy number between surveys and between symptomatic and asymptomatic individuals were made using Mann-Whitney test. Differences were considered statistically significant for P < 0.05. Association between P. vivax parasite density and P. vivax gametocyte density was analysed by linear regression.

Results

Study population

A total of 4083 participants were included in the two surveys: 1047 people were surveyed only once during the beginning of the rainy season in 2012 (CS1), 1110 only during the 2013 dry season (CS2) and 963 at both time points (Table 1). Overall, 2138 participants were male (52.4%), 507 were aged under 5 years (12.4%), 710 were 5–11 years-old (17.4%), 502 were 12–17 years-old (12.3%), 1974 were 18–59 years-old (48.3%) and 388 were 60 years-old or older (9.5%), with no significant differences regarding age (χ2 = 2.815, df = 4, P = 0.589) or gender (χ2 = 0.119, df = 1, P = 0.731) between surveys. Besides pre-school (15.0%) and school children (24.4%), 15.4% of participants were adults working in agriculture/fishing, 14.3% worked in an office or pursued high education studies, while 15.6% were house wives and 5.0% retired (Table 1). Ten percent were engaged in other professions or unemployed. The majority of participants had lived in the village for longer than two months (CS1: 93.8%, CS2 97.8%, χ2 = 40.359, df = 1, P < 0.0001) and few had travelled outside the village in the month prior to the survey (CS1: 9.4%, CS2: 9.0%, χ2 = 0.196, df = 1, P = 0.658) (Table 1).
Table 1

Characteristics of study participants

Variable

CS1

CS2

χ 2

P-value

 

n

%

n

%

Total

2010

100.0

2073

100.0

  

Demographic

Community

 Ipiranga

439

21.8

487

23.5

34.507

< 0.0001

 Brasileirinho

1185

59.0

1049

50.6

  

 Puraquequara

386

19.2

537

25.9

  

Gender

 Male

1058

52.6

1080

52.1

0.119

0.731

 Female

952

47.4

993

47.9

  

Age group

 < 5 yrs

256

12.7

251

12.1

2.815

0.589

 ≥ 5–11 yrs

361

18.0

349

16.8

  

 12–17 yrs

253

12.6

249

12.0

  

 18–59 yrs

957

47.7

1017

49.1

  

 ≥ 60 yrs

181

9.0

207

10.0

  

Occupation

 Office worker and higher education student

318

15.8

296

14.3

45.221

< 0.0001

 Agriculture/fishing

349

17.4

277

13.4

  

 Housewife

289

14.4

346

16.7

  

 Retired

106

5.3

97

4.7

  

 School children

481

23.9

484

23.4

  

 Infants and preschool children

312

15.5

300

14.5

  

 Unemployed/ other

154

7.7

269

13.0

  

More than 2 months in the area

 Yes

1866

93.8

2017

97.8

40.359

< 0.0001

 No

124

6.2

46

2.2

  

Recent travel (last month)

 Yes

188

9.4

186

9.0

0.196

0.658

 No

1814

90.6

1883

91.0

  

Malaria control

Use of a bednet

 No use

1002

49.9

1297

62.6

317.571

< 0.0001

 < 1 yr

940

46.8

487

23.5

  

 1–2 yrs

68

3.4

289

13.9

  

IRS past 6 months

 Yes

1140

56.7

759

36.6

165.854

< 0.0001

 No

869

43.3

1313

63.3

  

Fly screen

 Yes

376

18.8

408

19.7

0.565

0.452

 No

1627

81.2

1663

80.3

  

Malaria morbidity

Previous episodes

 0

587

29.3

606

29.3

  

 1–3

656

32.8

614

29.6

6.479

0.091

 4–10

455

22.7

487

23.5

  

 > 10

303

15.1

359

17.3

  

Episode in past two weeks

 Yes

24

1.2

21

1.0

0.307

0.580

 No

1986

98.8

2052

99.0

  

Current symptoms

 Fevera

108

5.4

84

4.1

3.974

0.046

 Symptoms other than feverb

76

3.8

16

0.8

42.857

< 0.0001

Abbreviations: CS1, cross-sectional survey 1; CS2, cross-sectional survey 2

a> 37.5 °C at visit or past 48 h

bExcluding individuals with other symptoms and fever

The majority of participants lived in households that had benefited from vector control activities. In CS1 73.7% (1482/2010) of participants were using LLINs (long-lasting insecticide-treated nets) and/or lived in a house that was treated with indoor spraying of residual insecticides (IRS) in the preceding six months, in CS2 it was 54.5% (1131/2073) of participants (χ2 = 162.812, df = 1, < 0.0001). In CS1, 50.1% (1008/2010) used LLINs, 56.7% (1140/2010) lived in an IRS treated house, and 33.1% (666/2010) of participants had benefited from both interventions. As LLIN distributions and IRS spraying campaigns were conducted in the months prior to CS1, the proportion of people that reported benefitting from either intervention was significantly higher in CS1 than for CS2 (Table 1, < 0.0001). In addition, considering data from both CS1 and CS2, 19.2% (784/4083) of participants lived in households with screened windows.

Plasmodium spp. prevalence

In CS1, 86 of 2010 (4.3%) participants were infected with P. vivax as determined by qPCR. Prevalence by qPCR was thus 2.7-fold higher than prevalence by LM (1.6%) (Table 2). Fifty percent (43/86) of all P. vivax infected individuals (qPCR) carried P. vivax gametocytes when detected by RT-qPCR, whereas 56.3% (18/32) of P. vivax infections detected by LM were positive for gametocytes. A modestly lower prevalence of P. vivax infections was observed in CS2 with 3.4% (70/2,073) of participants having qPCR-detectable infections, although this difference between surveys did not reach statistical significance, irrespective of considering all participants (Table 2, χ2 = 2.259, df = 1, P = 0.133) or only those that were surveyed twice (CS1: 45/963, 4.7% vs CS2: 33/963, 3.4%, χ2 = 1.924, df = 1, P = 0.165). A comparable number of P. vivax infections were gametocyte positive in both surveys (50.0% vs 42.9%, χ2 = 0.791, df = 1, P = 0.374). Total P. vivax parasitemia was comparable in both surveys (median gene copy number/μl 21.8 vs 35.0, Mann-Whitney test: U = 2643.5, n1 = 86, n2 = 70, P = 0.192) but pvs25 transcript numbers were significantly higher in gametocyte positive samples in CS2 compared to CS1 (median 11.4 vs 44.6 transcripts/μl, Mann-Whitney test: U = 417.5, n1 = 43, = n2 = 30, P = 0.011). Overall, P. falciparum infections were rare (Table 2): In CS1 only 15 mono P. falciparum infections were detected by qPCR (0.8%); in CS2 a single mixed P. falciparum/P. vivax infection was detected (0.05%, χ2 = 12.739, df = 1, P = 0.0004). Among P. falciparum positive samples in CS1, 81.8% (9/11) showed presence of gametocytes by light microscopy and 93.3% (14/15) by qPCR. In CS2, the only P. falciparum positive sample was also positive for gametocytes by qRT-PCR.
Table 2

Prevalence of infection by P. vivax (Pv total), P. vivax gametocytes (Pv gam), P. falciparum (Pf total) and P. falciparum gametocytes (Pf gam) as determined by light microscopy and PCR. Microscopy data available only for cross-sectional survey (CS) 1, overall prevalence by PCR determined as 18S rDNA copies/μl by qPCR, gametocyte prevalence by PCR determined by RT-qPCR (pvs25 transcripts/μl)

 

CS1 Microscopy (n = 2010)

CS1 PCR (n = 2010)

CS2 PCR (n = 2073)

 

n

%

Median paras./μl

IQR

n

%

Median cop./transcr./μl

IQR

n

%

Median cop./transcr./μl

IQR

Pv total

32

1.8

195.0

60.0–555.0

86

4.3

21.8

6.0–246.4

70a

3.4

35.0

12.3–273.0

Pv gam

18b

1.0

60.0

30.0–60.0

43

2.1

11.4

3.8–85.1

30a

1.4

44.6

13.5–175.1

Pf total

11

0.5

240.0

90.0–600.0

15

0.8

151.8

8.1–681.3

1a

0.05

5.1

Pf gam

9b

0.4

150.0

60.0–270.0

14

0.7

434.9

40.0–1272.8

1a

0.05

154.8

aIncluding one Pf/Pf mixed infection

bOne slide was negative for asexual blood stages

Morbidity and univariate risk-factors for P. vivax infection

Combining the results of both CS1 and CS2, prevalence of P. vivax was about twice as high in Brasileirinho and Puraquequara (4.3%) than in Ipiranga (2.1%, χ2 = 10.198, df = 2, P = 0.006) (Additional file 4: Table S4). The proportion of infected individuals was higher among male study participants (4.8%) than among female participants (2.7%) and male participants had a significantly higher risk for infection (OR: 1.81, 95% CI: 1.28–2.58, χ2 = 12.137, df = 1, P = 0.0005). Adults (≥ 18 years, prevalence 4.8%) had a higher risk for infection than children (2.4%) (OR: 2.02, 95% CI: 1.40–2.97, χ2 = 15.369, df = 1, P = 0.0001). The risk for infection was significantly higher for workers from the agriculture sector than for office workers and individuals pursuing higher education (OR: 1.81, 95% CI: 1.03–3.17, χ2 = 28.208, df = 1, P = 0.0001).

Prevalence amongst new residents (4.1%) was only slightly higher than that for individuals that lived in the study area for more than two months (3.8%, OR: 1.08, 95% CI: 0.42–2.32, χ2 = 0.035, df = 1, P = 0.852). Individuals with recent travel history showed a lower prevalence (2.4%) than individuals that did not leave the study area (4.0%, OR: 0.60, 95% CI: 0.30–1.18, χ2 = 2.271, df = 1, P = 0.132. Plasmodium vivax prevalence was higher amongst individuals using LLINs (4.7%, OR: 1.53, 95% CI: 1.11–2.11, χ2 = 6.796, df = 1, P = 0.009) and for participants living in IRS-treated houses (4.6%, OR: 1.51, 95% CI: 1.09–2.09, χ2 = 6.361, df = 1, P = 0.012) as compared to persons not using either intervention measure (3.1%). The proportion of P. vivax infected individuals was lower, but not significant, if the individual´s home had screened windows (3.2%), compared to those individuals living in houses with unscreened windows (4.0%, OR: 0.80, 95% CI: 0.52–1.24, χ2 = 1.006, df = 1, P = 0.316).

Study participants that had not experienced malaria episodes during their lifetime showed a lower risk for infection (prevalence 0.8%) than participants with one or more previous malaria infections (5.1%, OR: 7.04, 95% CI: 3.59–15.75, χ2 = 43.030, df = 1, P < 0.0001). Furthermore, P. vivax prevalence was higher in individuals that experienced a recent malaria episode (7.0%) than in individuals with no recent episode (3.8%, OR: 1.94, 95% CI: 0.77–4.88, Fisher’s exact test P = 0.195). Individuals presenting fever the day of the visit or during the past 48 h had a significantly increased risk for infection by P. vivax (prevalence 14.1%, OR: 4.77, 95% CI: 3.06–7.43, χ2 = 57.510, df = 1, P < 0.0001). Individuals with symptoms other than fever (up to 48 h before visit) had a moderately increased, albeit not-significant, prevalence (5.4%) as compared to asymptomatic individuals (3.63%, OR: 1.55, 95% CI: 0.48–34.83, Fisher’s exact test: P = 0.386) (Additional file 4: Table S4).

Multivariate risk factors for P. vivax infection

After adjusting for potential confounders (community, vector control activities and age) gender, occupation, history of malaria and fever remained as independent predictors for P. vivax infection. In the multivariate analysis male individuals were at higher risk for infection by P. vivax than female individuals (Table 3, AOR: 2.22, 95% CI: 1.41–3.51, P = 0.001). Individuals that reported to have had one or more previous malaria episodes in their lives were at much higher risk for P. vivax infection than individuals that had no previous infection (Table 3, P < 0.001). Another factor strongly associated with P. vivax infection was fever (during visit or during the past 48 h) (AOR: 4.66, 95% CI: 2.88–7.53, P < 0.001).
Table 3

Multivariate predictors of infection by P. vivax

 

n

%

AOR

95% CI

P-value

Gender

 Male

2138

4.8

2.22

1.41–3.51

0.001

 Female

1945

2.7

 

Occupation

 Office worker and higher education student

614

3.3

 

 Agriculture/fishing

626

5.8

1.68

0.96–2.95

0.009

 Housewife

635

4.3

2.46

1.28–4.71

 Infants and preschool children

612

2.0

1.47

0.63–3.40

 School children

965

2.5

0.95

0.51–1.78

 Retired

203

3.9

1.12

0.48–2.63

 Unemployed/other

423

6.9

2.13

1.16–3.89

Number of previous episodes

 0

1193

0.8

  

 1–3

1270

3.9

5.25

2.37–11.65

< 0.001

 4–10

942

5.9

7.75

3.46–17.36

 > 10

662

6.2

7.01

2.95–16.64

Fevera

 Yes

192

14.1

4.66

2.88–7.53

< 0.001

 No

3891

3.3

-

a> 37.5 °C at visit or past 48 h

Carriage of P. vivax gametocytes

Overall, about half of all P. vivax infected individuals (73/156, 46.8%) were positive for gametocytes, detected by RT-qPCR. Both in the univariate (OR: 2.73, 95% CI: 1.85–4.05, < 0.0001) and in the multivariate (AOR: 2.67, 95% CI: 1.90–3.77, < 0.0001) analyses the only risk factor associated with detectable carriage of gametocytes was P. vivax parasite density. We modelled the probability for carriage of gametocytes (defined as positivity by RT-qPCR in a 50 μl blood sample) depending on P. vivax density using a generalised additive model (Fig. 2a). For low parasite densities (< 10 18S rDNA copies/μl) the probability was below 30.0% and increased only slightly. At 100 copies/μl the probability to carry gametocytes was 50.0% and increased dramatically reaching a probability of 90.0% at 10,000 copies/μl. Gametocyte density (measured as pvs25 transcripts/μl) also increased with P. vivax density (r2 = 0.496, < 0.0001) (Fig. 2b).
Fig. 2
Fig. 2

Relation between P. vivax parasitaemia and gametocyte carriage and gametocyte density. A generalized additive model was used to describe gametocyte positivity (a). Plasmodium vivax parasitaemia was determined by qPCR (18S rDNA copies/μl) and gametocyte density by RT-qPCR (pvs25 transcripts/μl) (b)

Both prevalence of P. vivax blood-stages and prevalence of P. vivax gametocytes increased with age. The density of P. vivax blood-stages and pvs25 transcripts was highest in children younger than 12 years (Fig. 3).
Fig. 3
Fig. 3

Prevalence of P. vivax blood-stages and P. vivax gametocytes and parasite densities in different age groups. Geometric mean and 95% confidence interval are shown Plasmodium vivax blood-stage (Pv) density was determined by qPCR (18S rDNA copies/μl) and gametocyte (Pv gam) density by RT-qPCR (pvs25 transcripts/μl)

Asymptomatic and submicroscopic infections

Overall, 82.7% (129/156) of all people infected with P. vivax did not report a concurrent febrile illness and 75.0% (117/156) of infected individuals did not report fever or any other symptoms (the day of visit or up to 48 h before) nor did they report with symptoms to a malaria clinic during the 30 days before visit. Of these asymptomatic individuals, 11.1% (13/117) developed symptoms within 30 days after the visit. Thus, 67.3% (104/156) of all P. vivax infected individuals were and remained asymptomatic. There was no significant difference between CS1 (56/86) and CS2 (48/70) (χ2 = 0.2073, df = 1, P = 0.649). Similarly, 76.7% (56/73) of P. vivax gametocyte positive individuals were afebrile and 64.4% (47/73) were asymptomatic. 53.4% (39/73) of individuals carrying P. vivax gametocytes were asymptomatic (at visit and past 30 days) and did not develop any symptoms within 30 days after the visit (Fig. 4). Febrile (at visit or past 48 h) P. vivax infections were of significantly higher density (median copy numbers/μl: 463.8, IQR: 13.5–5030.4) than afebrile infections (20.8, IQR: 6.7–113.5, Mann-Whitney test: U = 985.5, n1 = 27, n2 = 129, P = 0.0004). Individuals showing any malaria-related symptoms up to the past 48 h also exhibited a significantly higher parasite density (median copy numbers: 282.6, IQR: 6.9–4452.6) as compared to asymptomatic infections (20.3, IQR: 6.7–103.4, P = 0.0007, Fig. 5). In CS1, 65.6% (42/64) of asymptomatic and 54.5% (12/22) of symptomatic P. vivax infections were submicroscopic (χ2 = 0.860, df = 1, P = 0.354) (Fig. 6).
Fig. 4
Fig. 4

Proportion of asymptomatic infections. Fever and other symptoms as reported on day of visit or up to 48 h before. Symptoms more than 2 days before or after visit according to Information System for Epidemiological Surveillance of Malaria (SIVEP-Malária). Abbreviations: Pv total, all P. vivax blood stages; Pv gam, P. vivax gametocytes; Pf total, all P. falciparum blood stages; Pf gam, P. falciparum gametocytes

Fig. 5
Fig. 5

Parasite densities of P. vivax infected asymptomatic (n = 38) and symptomatic (n = 118) individuals as determined by qPCR (18S rDNA copies/μl). Box plot showing median and interquartile range. Malaria-related symptoms at the day of visit or up to 48 h before visit were considered

Fig. 6
Fig. 6

Proportion of submicroscopic infections by P. vivax (Pv total), P. vivax gametocytes (Pv gam), P. falciparum (Pf total) and P. falciparum gametocytes (Pf gam) among individuals with or without symptoms (at sample collection or up to 48 h before)

Of the 16 P. falciparum infections (including 1 mixed infection), 12 (75.0 %) were asymptomatic (at visit or up to 48 h before). Of the 15 individuals carrying P. falciparum gametocytes, 11 (73.3%) were asymptomatic. None of the P. falciparum infected individuals developed symptoms within 30 days after the visit (Fig. 4). Four (35.7%) asymptomatic P. falciparum infections in CS1 were submicroscopic, while all symptomatic infections were detectable by LM (Fig. 6).

Discussion

The two cross-sectional surveys conducted in the periphery of Manaus confirmed the low prevalence of malarial infections in the area. This is in accordance with the significant successes recently achieved in Brazil regarding malaria control, whereby from 2000 to 2011 the number of cases has been more than halved [24]. This success has been attributed to classical intervention measures including early recognition and treatment of malaria cases and a high coverage of LLIN distribution [2]. The prevalence observed in CS2 (August-September 2013) was slightly lower than that of CS1 (November-December 2012). Although in the Amazon region malaria transmission usually peaks during the dry period from June to September, year-to-year fluctuations occur due to variation in climatic conditions [6, 17, 25].

Most infections were caused by P. vivax; only 14.9% (CS1) and 1.4 % (CS2), respectively, were caused by P. falciparum, in accordance with a decreasing trend in P. falciparum cases in Brazil since 1989 [25]. In the municipality of Manaus, for instance, P. falciparum infections dropped from 40.8% in 1986 to 6.5% in 2003 [7]. In addition to intervention strategies focusing on early diagnosis and treatment, the introduction of artemisinin-based combination therapy in 2006 further enhanced this trend [2]. Early treatment is generally more efficient against P. falciparum than P. vivax [26], as the appearance of mature gametocytes occurs later during infection. Additionally, the need to ensure radical treatment of P. vivax often jeopardizes the adequate management of this species because of compliance issues. As a consequence, in many co-endemic settings successful control has resulted in a shift from P. falciparum to P. vivax being the most prevalent parasite [27, 28].

Multivariate analysis revealed gender and occupation as key factors associated with infection by P. vivax, with male individuals being at higher risk as compared to female. This difference can possibly be explained by different occupation and leisure related behaviour. For instance, one third of adult men were working in the agricultural sector, which was associated with an elevated risk for infection (although not significant). One fifth of adult men had stated to be unemployed or pursue other not classified occupations. That group was significantly associated with infection. Among the different occupation groups housewives were at highest risk for P. vivax infection, probably because many houses in the study area include an outside area where activities such as laundry or gardening are performed. Our observations are in agreement with a previously published study conducted in a farming settlement in the South of the Amazon State where an increased risk of infection for individuals working in agriculture or housekeeping occurred [10]. In the univariate model age also represented a risk factor for P. vivax infections, showing an elevated risk for adolescents and adults, although this is likely associated with behaviour rather than age. The strongest predictor for P. vivax infection was fever. However, one has to keep in mind that in areas with such high proportion of asymptomatically infected individuals, in some cases the fever potentially might be caused by other concurrent (often unrelated) infectious diseases.

We were not able to find a protective effect for LLINs or IRS. Univariate analyses showed instead that both intervention measures were associated with a higher risk for infection by P. vivax. This can probably be explained by increased attention and control measures by both health post agents and inhabitants in known transmission hotspots. Whether LLINs and IRS can reduce malaria transmission in South America is not fully clear yet, as the main vector in the region, An. darlingi, is to a large extent exophilic, with its main peak of activity occurring at nightfall [29]. In addition, many of the detected P. vivax infections might result from reactivated hypnozoites rather than from recent mosquito bites. According to a study carried out in Papua New Guinea, relapses may be the cause of about 80% of P. vivax episodes [30]. A recent study from the Brazilian Amazon also suggests a significant contribution of relapses in this region [14].

Amongst individuals positive for P. vivax, we identified P. vivax blood-stage parasite density as the only risk factor for carrying gametocytes. Other studies also identified (asexual) blood stage density as a major predictor for carriage of gametocytes [31, 32]. Furthermore, we observed a weak correlation between total parasitaemia and gametocyte density. In P. vivax, gametocytes appear early in infection and their production continues throughout the infection, thus explaining increased risk for gametocyte carriage and increasing gametocyte densities with increasing P. vivax parasitaemia [33].

About half of all P. vivax positive individuals were positive for gametocytes. Other reports show higher rates of gametocyte carriers; however, these symptomatic individuals had high parasite densities that correlated with better detection of gametocytes [10, 34, 35]. A study that used large blood volumes for RNA extraction and subsequent RNA extraction achieved a high sensitivity of detecting both asexual and sexual stages [10], while in our study only 50 μl of patient blood was used for RNA extraction. In addition, the proportion of gametocyte positive individuals depends on the sensitivity of the assay detecting parasitaemia of blood-stage parasites - the more sensitive, the lower the parasite densities being detected, and therefore the probability of being positive for (detectable) gametocytes [32]. Gametocyte count by LM was performed on 200 leukocytes in the samples from this study, which may have underestimated the prevalence of gametocytes in infected individuals. The sensitivity of gametocyte detection could be improved counting more microscopic fields.

Up to three quarters of all P. vivax infected individuals appeared to be free of symptoms on the day of blood sampling. The majority of them also remained free of symptoms for the following 30 days, as previously reported [10, 15]. We were able to demonstrate a high proportion of asymptomatic infections in a low transmission setting, as previously described in the Americas [15, 36].

Among the individuals positive for P. vivax gametocytes, the proportion of asymptomatic individuals was smaller. This can be explained by the lower chance to detect gametocytes in low blood-stage parasite densities, such as observed in asymptomatic individuals. Despite having lower parasitemia, and therefore lower gametocytemia, asymptomatic infections had been shown to be able to infect mosquitoes [37] and hence, might be an important reservoir, especially for seasonal outbreaks [26]. A study in southern Amazon State estimated that 54.4% of all parasite biomass belonged to asymptomatic infected individuals, accounting for 56.6% of all infections [14]. As asymptomatic carriers do not seek healthcare facilities, they do not receive treatment and therefore might remain infective over long periods. Furthermore, a large proportion of asymptomatic infections is submicroscopic and would therefore by standard diagnostic methods remain undetected. Overall, more than half of P. vivax infections (62.8%) were submicroscopic, as opposed to only 26.7 % of P. falciparum infections. Two recent reviews reported similar proportions of subpatent (69.5% [38] and 67.0% [39]) P. vivax infections and substantially lower proportions of subpatent P. falciparum infections in various studies from different continents. In Brazil only LM positive infections are treated, thus the malaria subpatent infections remain untreated.

This work is the first large-scale survey assessing the infectious reservoir, and therefore the malaria transmission potential, with molecular methods in the peri-urban area of Manaus. We identified a large proportion of asymptomatic and submicroscopic malaria infections implicating that these might play an important role in malaria transmission in the study area. These infections are not only a burden to the local population, but also responsible for infections in (malaria-naïve) visitors [6]. Classical intervention measures are not effective against subpatent infections and new control measures will therefore be needed to achieve elimination. Although PCR is not suitable for routine diagnostics, as it is expensive and technically challenging, molecular data as those arising from our study can provide important information on the infectious reservoir, for instance for mathematical models [39]. A clearer understanding of the dynamics of the infectious reservoir over time is needed and longitudinal studies will be critical in order to assess the duration of asymptomatic infections and their likely role in sustaining transmission in the area.

Conclusions

This study shows a substantial proportion of asymptomatic and submicroscopic P. vivax infections in the studied area. The majority of gametocyte carriers did not present symptoms, thus indicating that asymptomatic infections might significantly contribute to malaria transmission in this region. Therefore, efficient control and malaria elimination tools need to include approaches also targeting the asymptomatic reservoir. Longitudinal studies are needed in these locations to analyze the incidence of malaria infection and the risk factors for P. vivax gametocyte carriage.

Abbreviations

AOR: 

Adjusted OR

CI 95%: 

95% confidence onterval

CONEP: 

Brazilian National Committee of Ethics

CS: 

Cross-sectional

EDTA: 

Ethylenediaminetetraacetic acid

FMT-HVD: 

Fundação de Medicina Tropical Dr Heitor Vieira Dourado

IQR: 

Interquartile range

IRS: 

Indoor residual spraying

LLINs: 

Long-lasting insecticide-treated nets

LM: 

Light microscopy

OR: 

Odds ratio

PBS: 

Phosphate buffered saline

PCR: 

Polymerase chain reaction

Pf gam: 

P. falciparum gametocytes

Pf: 

P. falciparum blood-stage

Pv gam: 

P. vivax gametocytes

Pv: 

P. vivax blood-stage

qPCR: 

Quantitative PCR

RBC: 

Red blood cells

RT-qPCR: 

Quantitative reverse transcription PCR

SIVEP-Malaria: 

System for Epidemiological Surveillance of Malaria

Declarations

Acknowledgements

Above all, we would like to thank the members of the three communities that participated in our study. We thank all the health post staff from the Brazilian Health Surveillance Agency (SVS) for their support during the field work. We thank all staff from the Malaria Department of FMT-HVD, especially the head of department Monica Costa and the microscopy team. We thank Rahel Wampfler, Natalie Hofmann, Cristian Koepfli and Andreea Waltmann for their advice on field and laboratory work and Connie SN Li Wai Suen for statistical support.

Funding

This work was supported by a grant from Bill & Melinda Gates Foundation to the TransEPI consortium. Additional support was provides by Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM), Brazil and NHMRC (#1043345). IM is supported by an NHMRC Senior Research Fellowship.

Availability of data and materials

All data generated or analysed during this study are included in this published article and its Additional files 123 and 4. Although the datasets generated and/or analysed during the current study are not publicly available, as the information in the databases will be used in future publications, they are available from the corresponding author upon reasonable request.

Authors' contributions

Conceived and designed the experiments: IM, IF, MVGL, QB, WMM and WPT. Prepared and performed field work: ACGA, LWB, AK, SVS, AJMC, MAB and EFGF. Sample processing: EFGF, KMMC, ACGA, AJMC and AK. Performed the experiments: AK, ACGA and AJMC. Data entry and analyses: AK, ACGA, AJMC, VSS and IM. Wrote the paper: AK, ACGA, AJMC, QB, IM and WMM. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by the Brazilian National Committee of Ethics (CONEP) (349.211/2013) and by the Committee of Ethics for Clinical Investigation from Barcelona Hospital Clinic (7306/2012). All participants were informed about the objectives of the study as well as potential risks and benefits of their participation in the study. An informed consent form was signed by all study participants or by a parent or legal guardian in case of participants younger than 18 years. Children between 12–17 years signed an additional assent form.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Fundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT-HVD), Av. Pedro Teixeira, N.25, Dom Pedro, Manaus, Amazonas, CEP: 69040-000, Brazil
(2)
Universidade do Estado do Amazonas (UEA), Av. Djalma Batista, N. 3578, Flores, Manaus, Amazonas, CEP: 69005-010, Brazil
(3)
ISGlobal, Barcelona Ctr. Int. Health Res. (CRESIB), Hospital Clínic - Universitat de Barcelona, Carrer del Rosselló, 132, 08036 Barcelona, Spain
(4)
Instituto Nacional de Pesquisas da Amazônia (INPA), Av. André Araújo, N. 2.936, Petrópolis, Manaus, CEP: 69067-375, Brazil
(5)
Fundação de Vigilância em Saúde do Amazonas, Sala de Análise de Situação em Saúde, Av. Torquato Tapajós, N. 6132, Colônia Santo Antonio, Manaus, CEP:69093-018, Brazil
(6)
Centro de Investigação em Saúde de Manhiça (CISM), Rua 12, Cambeve, Vila de Manhiça, CP 1929 Maputo, Mozambique
(7)
Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys, 23 08010 Barcelona, Spain
(8)
Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland
(9)
University of Basel, Petersplatz 1, 4001 Basel, Switzerland
(10)
Walter and Eliza Hall Institute, Parkville, Australia
(11)
Instituto de Pesquisas Leônidas e Maria Deane (ILMD), Manaus, Brazil

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