Skip to main content
Bulletin of the World Health Organization logoLink to Bulletin of the World Health Organization
. 2018 Apr 27;96(6):402–413D. doi: 10.2471/BLT.17.201541

Prevalence of asymptomatic Zika virus infection: a systematic review

Prévalence des infections à virus Zika asymptomatiques: revue systématique

Prevalencia de la infección asintomática del virus de Zika: una revisión sistemática

انتشار عدوى فيروس زيكا غير المصحوب بظهور أعراض: مراجعة منهجية

无症状塞卡病毒感染的患病率:系统评审

Распространенность бессимптомной инфекции, вызываемой вирусом Зика: систематический обзор

Michelle M Haby a,, Mariona Pinart b, Vanessa Elias c, Ludovic Reveiz c
PMCID: PMC5996208  PMID: 29904223

Abstract

Objective

To conduct a systematic review to estimate the prevalence of asymptomatic Zika virus infection in the general population and in specific population groups.

Methods

We searched PubMed®, Embase® and LILACS online databases from inception to 26 January 2018. We included observational epidemiological studies where laboratory testing was used to confirm positive exposure of participants to Zika virus and in which Zika virus symptom status was also recorded. We excluded studies in which having symptoms of Zika virus was a criterion for inclusion. The main outcome assessed was percentage of all Zika virus-positive participants who were asymptomatic. We used a quality-effects approach and the double arcsine transformation for the meta-analysis.

Findings

We assessed 753 studies for inclusion, of which 23 were included in the meta-analysis, totalling 11 305 Zika virus-positive participants. The high degree of heterogeneity in the studies (I2 = 99%) suggests that the pooled prevalence of asymptomatic Zika virus-positive participants was probably not a robust estimate. Analysis based on subgroups of the population (general population, returned travellers, blood donors, adults with Guillain–Barré syndrome, pregnant women and babies with microcephaly) was not able to explain the heterogeneity. Funnel and Doi plots showed major asymmetry, suggesting selection bias or true heterogeneity.

Conclusion

Better-quality research is needed, using standardized methods, to determine the true prevalence of asymptomatic Zika virus and whether it varies between populations or over time.

Introduction

By 25 May 2017, 48 countries and territories in the Americas had confirmed autochthonous, vector-borne transmission of Zika virus disease and 26 had reported confirmed cases of congenital syndrome associated with the infection.1 Symptoms are often very mild or not present. When symptomatic, the infection may include rash, fever, arthralgia and conjunctivitis. Zika virus infection during pregnancy is a cause of congenital Zika syndrome2 and it may also be a trigger for Guillain‒Barré syndrome.2,3

It has been widely reported that approximately 80% of people with Zika virus infection are asymptomatic. This statement is based on a household survey on Yap State in 20074 that has been cited in many publications on Zika virus. Among 557 residents who provided blood samples, 414 had immunoglobulin (Ig) M antibody against Zika virus and 156 of these (38%) reported an illness that met the definition for suspected Zika virus disease. However, 27 (19%) of the 143 residents who had no detectable IgM antibody against Zika virus also reported an illness that met the definition for suspected Zika virus disease. The authors concluded that, among participants who had IgM antibody against Zika virus, a total of 19% (38% minus 19%) had symptoms that were likely due to the Zika virus infection. When adjusted to the total Yap population aged 3 years or older, the authors estimated that 18% of those infected (95% confidence interval, CI: 10‒27%) had a clinical illness that was probably attributable to Zika virus. From these data we, and other authors, concluded that 82% of the population infected with Zika virus were asymptomatic.

Lack of signs and symptoms of Zika virus infection does not necessarily imply protection from potential complications, such as microcephaly in babies and Guillain‒Barré syndrome in adults. This has implications for surveillance, treatment and research efforts. For example, an analysis was conducted of pregnancies completed between 15 January and 22 September 2016, and recorded in the United States Zika pregnancy registry.5 Among women with laboratory evidence of Zika virus infection, there was no difference in the prevalence of birth defects in babies born to asymptomatic (16/271, 6%; 95% CI: 4–9%) or symptomatic women (10/167, 6%; 95% CI: 3–11%). Thus, if the asymptomatic pregnant women had not been included in Zika virus surveillance the 16 babies born with birth defects may not have been attributed to Zika virus.

Currently, with the exception of asymptomatic pregnant women, only people with suspected infection (i.e. symptomatic) generally undergo laboratory testing for Zika virus infection as part of national surveillance efforts.6 Thus, the true prevalence of infection and related complications is likely to be underestimated and biased towards those who seek care or develop a viral disease in response to infection.7 Knowing the prevalence of asymptomatic Zika virus infection is important for assessing the effectiveness and cost‒effectiveness of interventions, including vaccines, to prevent or treat infection. The prevalence is also needed for decision-making about the value of scaling-up surveillance efforts.

The aim of the current review was to estimate the prevalence of asymptomatic Zika virus infection in the general population and in specific population groups from observational epidemiological studies.

Methods

We used systematic review methods, including a meta-analysis.8,9 We registered the protocol on the International prospective register of systematic reviews (CRD42017059342)10 and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement for reporting.11

Inclusion criteria

We included general or specific population-based studies of participants of all ages and from any country: pregnant women, newborns and infants, children, adults, newborns with congenital abnormalities, and adults with Guillain‒Barré syndrome and other neurological diseases.

We included studies if exposure to Zika virus was identified, using molecular or serological methods. We used the Pan American Health Organization (PAHO),World Health Organization (WHO) guidelines for laboratory testing wherever possible.12,13 For a confirmed case these guidelines require: (i) presence of ribonucleic acid or Zika virus antigen in any specimen (serum, urine, saliva, tissue or whole blood) tested by reverse-transcriptase polymerase chain reaction method; or (ii) positive anti-Zika virus IgM antibodies and plaque reduction neutralization test for Zika virus titres ≥ 20 and four or more times higher than for other flaviviruses; and exclusion of other flavivirus; or (iii) in autopsy specimens, detection of the viral genome (in fresh or paraffin tissue) by molecular techniques, or detection by immunohistochemistry. In practice, this definition was often not used in studies, especially in earlier research. We therefore included studies using alternative definitions for positive laboratory testing if the definition was clearly stated. One alternative definition was the PAHO‒WHO guideline for probable cases: presence of Zika IgM antibodies, with no evidence of infection with other flaviviruses.12

We defined the primary outcome measure as percentage of all Zika virus-positive participants who were asymptomatic at the time of laboratory testing, or within 7 to 10 days of testing. The denominator was all participants who were Zika virus-positive. For the numerator, the PAHO‒WHO guidelines for signs and symptoms were used wherever possible, which require patients to have rash (usually pruritic and maculopapular) with two or more of the following signs or symptoms: fever, usually < 38.5 °C; conjunctivitis (non-purulent/hyperemic); arthralgia; myalgia; and/or periarticular oedema.12 In practice, not all studies used the PAHO‒WHO definition and we included studies using alternative definitions for symptoms if a clear definition was provided. Asymptomatic Zika virus-positive participants were those with no symptoms or with symptoms that did not meet the definition used for the particular study.

We included cross-sectional seroprevalence studies, cohort studies of pregnant women, cohort studies of newborns and infants, case‒control studies of Guillain‒Barré syndrome and other neurological diseases, case‒control studies of microcephaly and case series with at least 20 participants. The cut-off value of 20 participants for case series was chosen as a reasonable minimum number for which prevalence data can be reported. A cross-sectional seroprevalence study in the general population is the most appropriate design to determine the prevalence of asymptomatic Zika virus infection. However, to make use of the limited information that was available, we chose to include other study designs and other populations. Published and completed unpublished studies were eligible for inclusion. Data from ongoing studies were also eligible for inclusion when results from a representative sample were available.

Publications in English, French, Spanish or Portuguese were included. There was no restriction on year of publication.

We excluded studies in which having symptoms of Zika virus was a criterion for inclusion of participants in the study. This is because it would give a biased value for percentage asymptomatic of 100% solely due to the inclusion criteria. We also excluded studies where the percentage of participants who were asymptomatic could not be determined.

Search strategy

The search strategy and keywords used are shown in Box 1. The titles and abstracts of these references were checked by one author against the inclusion criteria. Additional published articles were also identified through separate manual searches of PubMed® and revision of Zika virus article alerts by another author. The full text of any potentially relevant papers were checked by a second author and disagreements resolved by discussion and consultation with a third author. Papers excluded after review by a second reviewer and discussions between reviewers were detailed in a table, together with the reason for their exclusion. We also made contact (by email or in-person at key Zika virus meetings) with known research groups conducting cross-sectional studies of Zika virus. These groups were identified through the PAHO‒WHO Zika virus research platform, which includes research protocols that detail ongoing research related to the virus.14

Box 1. Search strategy for the systematic review of the prevalence of asymptomatic Zika virus infection .

We searched PubMed®, Embase® and LILACS online databases from inception to date of search (4 November 2016, updated 7 March 2017 and 26 January 2018) using the term “zika” as text word for PubMed® and LILACS and “zika” as keyword (zika.mp) for Embase® (Ovid). References were imported into EndNote version X7 reference management software (Clarivate Analytics, Philadelphia, United States of America). The search was then limited using the terms: (cohort OR case control OR case-control OR series OR prospective OR retrospective OR longitudinal OR cross-sectional OR cross sectional OR observational OR transversal OR seroprevalence OR prevalence OR asymptomatic) in any field and then checked for duplicates.

Data extraction

We extracted qualitative information into a Word version 14 table and quantitative data into an Excel version 14 spreadsheet (Microsoft Corporation, Redmond, USA). One author extracted the data and another author checked it: disagreements were resolved by discussion and consultation with a third author where necessary. We extracted the following data: country of study; region within the country; study design (cross-sectional, cohort, case‒control, case series); population (all ages, pregnant women, newborns and infants, newborns with congenital abnormalities, adults, adults with Guillain‒Barré syndrome); age range; period of study; definition of Zika virus positive according to laboratory tests; definition of symptomatic and asymptomatic Zika virus; preferential recruitment of participants with symptoms (yes/no); sample size calculation; and comments.

Quantitative data extracted included: response rate; total number of participants; total number classified as Zika virus positive; number of Zika virus-positive participants classified as symptomatic and as asymptomatic; and percentage of the total sample who were symptomatic at time of recruitment. For the cohort studies we used Zika virus-positive status at any time during the pregnancy (for studies of pregnant women) or any time during the study (for studies of newborns and infants). We extracted quantitative data for relevant subgroups where the data and sample size allowed, including for population subgroups and different definitions of Zika virus exposure.

Quality assessment

The quality of the included studies was assessed independently by two authors using the critical appraisal checklist for prevalence studies, developed by The Joanna Briggs Institute.8 This tool includes the same dimensions as the Assessing Risk of Bias in Prevalence Studies tool,15 but was considered more useful for this review as it is applicable to a variety of study designs. The Joanna Briggs Institute tool also includes extra items related to sample size and subgroups. Disagreements were resolved by discussion and consultation with a third author where necessary.

Analysis

We summarized the findings from the included studies in numerical and narrative tables. We conducted quality-effects meta-analysis using MetaXL version 5.3 (Ersatz, EpiGear International, Sunrise Beach, Australia) and the double arcsine transformation of prevalence.1618 We assessed heterogeneity using the Q and I2 statistics. We used Doi plots and the Luis Furuya‒Kanamori index to evaluate the presence of small-study effects, where asymmetry can indicate publication or other biases.16 A symmetrical mountain-like plot with values of the Luis Furuya-Kanamori index within ± 1 indicates no asymmetry; between ± 1 and ± 2 indicates minor asymmetry; and exceeding ± 2 suggests major asymmetry.16 Due to the high degree of heterogeneity in the results, we also checked whether the heterogeneity could be explained by population subgroups. The number of included studies was insufficient for testing multiple subgroups. We also tested the sensitivity of the results to excluding the largest study4 and to using the actual sample figure, rather than the population estimate reported by the authors that accounts for symptoms not attributable to Zika virus infection.

Results

We identified a total of 960 records from database searches and another 12 records through other sources (Fig. 1). No unpublished or in-process studies were identified. After screening, we assessed 64 full-text articles for eligibility (Fig. 1) and excluded 36 articles1954 for various reasons (Table 1). No studies were excluded due to language restrictions. A total of 23 studies from 28 articles met the inclusion criteria for the review (Table 2; available at: http://www.who.int/bulletin/volumes/96/6/17-201541).4,5,5580

Fig. 1.

Flow diagram of selection of articles for the systematic review of the prevalence of asymptomatic Zika virus infection

a Further restrictions were applied using Endnote reference management software (Clarivate Analytics, Philadelphia, United States of America; Box 1).

Fig. 1

Table 1. Reasons for exclusion of studies from the systematic review of the prevalence of asymptomatic Zika virus infection.

Study Exclusion category Reason for exclusion
Alvim et al., 201619 Outcome measure Percentage of participants with or without symptoms not reported
Brasil et al., 201623,24 Exclusion criteria Having symptoms was criterion for inclusion of participants
Brasil et al., 201622 Exclusion criteria Having symptoms was criterion for inclusion of participants
Carvalho et al., 201625 Study type Case series with <  20 cases (19 only)
De Paula-Freitas et al., 201627 Exposure No laboratory confirmation of exposure to Zika virus
Dirlikow et al., 201629 Outcome measure Percentage of participants asymptomatic not reported
Ferreira da Silva et al., 201631 Exposure No laboratory or molecular testing for Zika virus
Figueiredo et al., 201632 Exclusion criteria Having Zika virus symptoms was an inclusion criteria
Franca et al., 201633 Study type Very few participants tested for Zika virus either using PCR or serology (from email communication with corresponding author on 28 March 2017)
Hamer et al., 201636 Outcome measure Percentage of participants with or without symptoms not reported
Mani, 201640 Study type Summary of another study33 that was excluded due to very few participants undergoing laboratory testing
Melo et al., 201642 Study type Case series with <  20 cases (11 only)
Nah et al., 201644 Outcome measure Participants’ symptoms not reported. Modelling study
Sarno et al., 201647 Exposure No laboratory testing for Zika virus
Torres et al., 201650 Outcome measure Percentage of participants asymptomatic could not be measured as all Zika virus-positive participants had symptoms
Yakob et al., 201653 Study type No primary data presented
Araujo et al., 201720 Outcome measure Percentage of participants with or without symptoms not reported
Bierlaire et al., 201721 Study type Case series with <  20 cases (12 only)
Chow et al., 201726 Outcome measure Percentage of participants asymptomatic could not be determined as all enrolled participants were symptomatic
Eppes et al., 201730 Exposure Only 8 women had positive test results for Zika virus. Insufficient information to calculate percentage of participants with or without symptoms
Gonzalez et al., 201734 Outcome measure Percentage of participants with or without symptoms not reported
Griffin et al., 201735 Exclusion criteria Majority of children were selected for testing for Zika virus on the basis of having symptoms
Hancock et al., 201737 Exposure Exposure data reported for a period where all cases tested positive for Zika virus by real-time reverse transcription-PCR
Huits et al., 201738 Study type Only 6 of 31 travellers had confirmed Zika virus infection
Lee et al., 201739 Outcome measure Percentage of participants with or without symptoms not measured or reported
Marban-Castro et al., 201741 Outcome measure Insufficient information to decide whether study met inclusion criteria or to calculate percentage of participants with or without symptoms
Moreira et al., 201743 Study type Systematic review
Rac et al., 201745 Outcome measure Percentage of Zika virus-positive participants with or without symptoms not reported.
Salinas et al., 201746 Outcome measure Percentage of participants Zika virus-positive with or without symptoms not reported
Schaub et al., 201748 Study type Case series with <  20 cases (8 only)
Styczynski et al., 201749 Outcome measure Percentage of Zika virus-positive participants with or without symptoms not reported.
Tse et al., 201751 Outcome measure Percentage of participants with or without symptoms not reported. Likely that they were selected based on having symptoms
Uncini et al., 201752 Outcome measure Percentage of participants asymptomatic could not be measured as all Zika virus-positive participants had symptoms
Zambrano et al., 201754 All asymptomatic Data on symptoms not recorded at time of laboratory testing. All women were asymptomatic at enrolment
Delaney et al., 201828 Exposure Exposure to Zika virus tested in only a small proportion of participants

PCR: polymerase chain reaction.

Table 2. Characteristics of studies included in the systematic review of the prevalence of asymptomatic Zika virus infection.

Study, author and year of primary referencea Country or territory Population Study design Definition of Zika virus positive Definition of symptomatic Zika virus Risk of bias scoreb
Duffy et al., 20094 Federated States of Micronesia (Yap State) General population Cross-sectional Evidence of recent infection: positive for IgM antibody against Zika virus by ELISA in serum Defined as acute onset of generalized macular or papular rash, arthritis or arthralgia, or non-purulent conjunctivitis 8
Musso et al., 201455,56 French Polynesia Blood donors Cross-sectional Positive to Zika virus nucleic acid test in serum by real-time RT–PCRc Not defined. Blood donors who were Zika-virus positive were telephoned and asked about “Zika fever-like syndrome” (rash, conjunctivitis, arthralgia) after their donation 7
Adams et al., 201657 USA (Puerto Rico) Pregnant women Case series (surveillance) Confirmed case: positive by RT–PCR in blood or urine. Presumptive case: positive Zika virus IgM by ELISA and negative dengue virus IgM by ELISA, or positive Zika virus by MAC-ELISA in a pregnant woman Not defined 5
Araujo et al., 201658 Brazil (metropolitan region of Recife) Cases: neonates with microcephaly.
Controls: live neonates without microcephaly, with no brain abnormalities or birth defects
Case–control Positive by RT–PCR or IgM serum test of mothers and neonates Not defined. Presence of maternal rash was reported 8
Cao-Lormeau et al., 201659 French Polynesia Cases: adults with Guillain–Barré syndrome.
(Controls: excluded because no data on Zika symptoms were reported)
Case–control Presence in serum of PRNT antibodies for Zika virus and anti-Zika virus IgG or IgM Not defined. Described as recent history of viral syndrome before onset of neurological symptoms. Participants’ most commonly reported rash, arthralgia and fever 9
Dasgupta et al., 201660 USA Travellers;d pregnant women travellersd Case series (surveillance) Confirmed case: detection of Zika virus RNA by RT–PCR or; anti-Zika IgM antibodies by ELISA with neutralizing antibody titres against Zika virus, at levels ≥ 4-fold higher than those against dengue virus Defined as at least one of the following: fever, rash, arthralgia, or conjunctivitis 5
de Laval et al., 201661 French Guiana Travellersd Cohort Confirmed case: viral RNA detected by real-time PCR in blood or urine, or Zika virus IgM antibodies and neutralizing antibodies found in serum. Malaria excluded by thin and thick blood smears; dengue and chikungunya viruses excluded by blood real-time PCR Not defined. All participants had cutaneous rash or other symptoms 3
Díaz-Menéndez et al., 201662,63 Spain (Madrid; one hospital) Travellersd Case series Confirmed case: positive microneutralization antibodies and/or positive RT–PCR for RNA in urine, blood, semen or amniotic fluide Not defined. Participants had one or more of: temperature > 38 °C, maculopapular rash, arthralgia, red eyes or headache 6
Leal et al., 201664 Brazil (Pernambuco; one hospital) Babies with microcephaly Case series Positive by Zika virus-specific IgM capture ELISA in cerebrospinal fluid Not defined. Presence and timing of maternal rash during pregnancy was reported 4
Pacheco et al., 201665 Colombia Babies with possible microcephaly Case series (surveillance) Positive for Zika virus RNA in serum using RT–PCR and negative for syphilis, toxoplasmosis, other agents, rubella, cytomegalovirus and herpes virus tests, and normal karyotypes Defined as fever and rash, plus at least one of the following symptoms: nonpurulent conjunctivitis, headache, pruritus, arthralgia, myalgia or malaise 6
Parra et al., 201666 Colombia (Cucuta, Medellín, Neiva, Barranquilla and Cali; six hospitals) Adults with Guillain–Barré syndrome Case series Definite case: positive for Zika virus RNA in blood, cerebrospinal fluid or urine by RT–PCR. Probable case: positive ELISA for antiflavivirus antibodies in cerebrospinal fluid, serum or both, but negative RT–PCR for Zika virus and for the four dengue virus serotypes Defined as onset of systemic symptoms by Pan American Health Organization case definition 6
Adhikari et al., 201767,68 USA (Dallas, Texas) Pregnant women travellersd Case series (screening)f Probable case: positive by serum IgM test or real-time RT–PCR (serum or urine or both). Confirmation by serum PRNTg Not defined. Participants’ symptoms included rash, fever, conjunctivitis and arthralgia 8
Aubry et al., 201769 French Polynesia General population, including schoolchildren Cross-sectional Positive for Zika virus IgG in blood by recombinant antigen-based indirect ELISA (schoolchildren) or in serum by microsphere immunoassay (general population) Not defined. Participants were asked “whether they had clinical manifestations suggestive of past Zika infection” 6
Flamand et al., 201770 French Guiana Pregnant women Cohort Zika virus-positive by real-time RT–PCR in at least one blood or urine sample, or positive for Zika virus IgM antibodies in serum, irrespective of IgG resultsh Defined as a clinical illness compatible with Zika virus in the 7 days before confirmation by RT–PCR or between the beginning of the outbreak and the date of laboratory diagnosis for IgM-positive cases. A compatible clinical illness was defined as at least one of the following symptoms: fever, a macular or papular rash, myalgia, arthralgia or conjunctival hyperaemia 9
Lozier et al., 201771 Puerto Rico General population (within 100 m radius of the residences of 19 index cases) Cross-sectional (household-based cluster investigations) Current infection: detection of Zika virus nucleic acid by RT–PCR in any specimen (serum, urine or whole blood).
Recent infection: detection of anti-Zika virus IgM antibody by ELISA in serum. Recent flavivirus infection: detection of both anti-Zika virus IgM and anti-dengue virus IgM antibodies by ELISA in a serum specimen, in the absence of Zika virus or dengue virus nucleic acid detection (results were a subset of recent Zika virus infection).
Zika virus positivity: evidence of current or recent Zika virus or flavivirus infection
Defined as presence of rash or arthralgia 7
Meneses et al., 201772 Brazil Babies with congenital Zika virus syndrome Case seriesf Zika virus-specific IgM tested by MAC-ELISA in cerebrospinal fluid. Positive results were followed by PRNT to confirm specificity of IgM antibodies against Zika virus and rule out cross-reactivity against other flaviviruses, including dengue Defined as presence of symptoms related to a possible Zika virus infection during gestation: fever, maculopapular rash, arthralgia and conjunctivitis 4
Pomar et al., 201773,74 French Guiana (Western part) Pregnant women.
Babies with congenital Zika virus syndrome
Case series (screening)f Positive by RT–PCR (using the RealStar® Zika kit; Altona Diagnostics GmbH, Hamburg, Germany) in blood or urine or both, or by anti-Zika virus antibody detection using an in-house (National Referral Centre) IgM and IgG antibody-capture ELISA Not defined. Participants’ symptoms were fever, pruritus, erythema, conjunctivitis, arthralgia or myalgia 6
Reynolds et al., 20175,75 USA Pregnant women Case series (surveillance)f Recent possible infection: based on presence of Zika virus RNA by nucleic acid test (e.g. RT–PCR) on any maternal, placental, fetal, or infant specimen (serum, urine, blood, cerebrospinal fluid, cord serum and cord blood); or serological evidence of recent Zika virus infection or recent unspecified flavivirus infection from a maternal, fetal or infant specimen (i.e. Zika virus PRNT titre ≥ 10 with positive or negative Zika virus IgM, and regardless of dengue virus PRNT titre). Infants with positive or equivocal Zika virus IgM were included, provided a confirmatory PRNT was performed on a maternal or infant specimen Not defined 5
Rodo et al., 201776 Spain Pregnant women travellersd Case seriesf Not defined. Reported as confirmed by RT–PCR, or probable by positive Zika virus-IgM or positive Zika virus neutralization tests (specimen type not reported) Not defined. 13/17 symptomatic pregnant women had a rash 1
Rozé et al., 201777 France, Martinique Adults with Guillain–Barré syndrome Cohort Recent infection: Zika virus nucleic acid detected by RT–PCR in any specimen (cerebrospinal fluid, urine and plasma); or serum antibodies to Zika virus detected by Zika virus MAC-ELISA, and negative IgM MAC-ELISA against dengue virus or positive for neutralizing antibodies against Zika virus Not defined. Participants’ symptoms were described as “preceding arbovirus-like syndrome,” characterized by fever, headache, retro-orbital pain, nonpurulent conjunctivitis, maculopapular rash, arthralgia or myalgia 6
Shapiro-Mendoza et al., 201778 United States Territories and freely associated States Pregnant women. Babies with ≥ 1 birth defect Case series (surveillance)f Recent possible infection: based on presence of Zika virus RNA by nucleic acid test (e.g. RT–PCR) on any maternal, placental, fetal, or infant specimen (serum, urine, blood, cerebrospinal fluid, cord serum and cord blood); or serological evidence of recent Zika virus infection or recent unspecified flavivirus infection (i.e. Zika virus PRNT titre ≥ 10 with positive or negative Zika virus IgM, and regardless of dengue virus PRNT titre). Infants with positive or equivocal Zika virus IgM were included, provided a confirmatory PRNT was performed on a maternal or infant specimen (serum, urine, and cerebrospinal fluid)i Defined as one or more signs or symptoms consistent with Zika virus disease: acute onset of fever, rash, arthralgia or conjunctivitis 5
Stone et al., 201779 USA Zika virus RNA-positive blood donors Cohort Blood compartments and body fluids (whole blood, plasma, urine, saliva and semen) were tested for Zika RNA by real time RT–PCR. Plasma samples were tested for Zika virus IgM and IgG antibodies (specimen type not reported) Not defined. Participants developed “multiple Zika virus-related symptoms” 2
Shiu et al., 201880 USA Pregnant women Case series (screening) PRNT was performed if real-time RT–PCR or IgM in serum or urine was positive. Women with non-negative Zika virus IgM, Zika virus PRNT > 10 and dengue virus PRNT < 10 were considered to be infected with Zika virus. Women with IgM-positive tests, but with PRNT results not yet available were also included Not defined. Participants had “documented symptoms suspicious for Zika virus infection” 7

ELISA: enzyme-linked immunosorbent assay; Ig: immunoglobulin; MAC-ELISA: IgM antibody capture enzyme-linked immunosorbent assay; RNA: ribonucleic acid; PRNT: plaque reduction neutralization test; RT–PCR: reverse transcription-polymerase chain reaction; USA: United States of America.

a If a study had more than one reference, we awarded one reference the status of primary reference.

b The risk of bias was measured using the critical appraisal checklist for prevalence studies developed by the Joanna Briggs Institute,8 which has a maximum score of 10. The risk of bias scores ranged from 1 to 9, with a mean score of 5.8.

c A sample was considered positive when amplification showed a cycle threshold value < 38.5. However, to avoid false-negative results due to the pooling, each minipool showing a cycle threshold value < 40 with at least one primer-probe set was controlled by individual RT–PCR. Even if the two primers-probe sets did not react with the four dengue virus serotypes,16 the specificity of the amplified product from two donors whose blood was Zika virus-positive by RT–PCR was controlled by sequencing.56

d Travellers were those with recent travel to or from a Zika-affected area.

e A patient where the detection of RNA of Zika virus by means of a confirmed positive PCR (two positive PCRs designed with different genomic targets and similar sensitivity or in different aliquots of the same sample) was obtained, was considered as a confirmed case. The confirmation of positive cases by immunofluorescence tests requires positive results in microneutralization tests.62

f The study was actually a cohort study but only the baseline data are used here.

g Serum IgM assay was performed by Dallas County Health and Human Services for specimens collected > 2 weeks after travel in asymptomatic and symptomatic pregnant women, up to 9 months after return from travel. Presumptive positive or equivocal serum IgM specimens were forwarded to the United States Centers for Disease Control and Prevention for confirmatory PRNT testing. Serum real-time RT–PCR for Zika virus RNA was performed by Dallas County Health and Human Services on any specimen collected within 4 weeks of symptom onset or within 6 weeks of return from travel. In August 2016, following release of the interim guidance for urine testing and evaluation of pregnant women, the authors implemented real-time RT–PCR testing of subsequent urine specimens for pregnant women with presumptive positive or equivocal serum IgM.68

h Serology was done using an in-house MAC-ELISA (based on whole virus antigens obtained in cell culture and on hyperimmune ascitic fluid) at each trimester of pregnancy. The sensitivity of the test was evaluated in sera from 71 patients with Zika virus infection confirmed by real-time PCR between day 5 and day 20 after symptom onset, was 87% and increased to more than 98% for sera sampled after day 7 from symptoms onset. The specificity was very low in sera from people with confirmed acute dengue virus infection, but increased to more than 80% for a panel of sera-negative samples for all tested arboviruses.

i The use of PRNT for confirmation of Zika virus infection is not routinely recommended in Puerto Rico; dengue virus is endemic and cross-reactivity is likely to occur in most cases. In Puerto Rico, detection of Zika virus IgM antibodies in a pregnant woman, fetus or infant (within 48 hours after delivery) was considered sufficient to indicate recent possible Zika virus infection.

We found only three cross-sectional seroprevalence studies of the general population, which are considered to be the most appropriate design to measure prevalence. These included the original study of Yap State residents, Federated States of Micronesia, conducted in 2007,4 a study of the general population and schoolchildren in French Polynesia conducted in 2014–201569 and a study in 2016 of the general population living near 19 index cases in San Juan, Puerto Rico.71 The majority of the studies were case series from population health surveillance programmes,57,60,65,75,78 systematic screenings of an at-risk population68,74 or hospital-based screenings of an at-risk population.62,64,66,72,76,80 A cohort design was used in four studies,61,70,77,79 a case‒control design in two studies,58,59 and a cross-sectional study of blood donors in one study56 (Table 2).

There was considerable variation in the methods of laboratory testing and the definitions of Zika virus positivity used in the studies (Table 2). Also, few studies offered a definition for symptomatic or asymptomatic. Sample sizes in studies varied from 30 to over 9000 (Table 3).

Table 3. Results of the systematic review of the prevalence of asymptomatic Zika virus infection.

Study, primary referencea Population or subgroup Total no. of participants No. classified as Zika virus positive No. asymptomatic % asymptomatic (95% CI) Comments
Duffy et al., 20094 General population: adjusted figures 6 892 5 005 4 086 82 (81–83) Figures adjusted for the percentage of symptoms unlikely to be attributable to Zika virus infection and adjusted to total Yap State population (3+ years of age)
General population: actual figures  (557)b (414)b (258)b (62 (58–67))b Actual figures from tested sample
Musso et al., 201456 Blood donors 1 505 42 31 74 (59–86) Bias towards asymptomatic participants
Adams et al., 201657 Pregnant women 9 343 426 43 10 (7–13) Confirmed cases only
Araujo et al., 201658 Cases: babies with microcephaly 32 13 6 46 (20–74) Symptoms were measured in mothers
Controls: babies without microcephaly or birth abnormalities 62 0 0 0 Not included in meta-analysis because no babies were Zika virus positive
Cao Lormeau et al., 201659 Adults with Guillain–Barré syndrome 42 42 4 10 (2–21) NA
Dasgupta et al., 201660 Travellers 1 199 169 0 0 (0–1) Bias towards symptomatic patients
Pregnant women travellers 3 335 28 7 25 (10–43) Bias towards symptomatic patients. United States Centers for Disease Control and Prevention recommendations changed during study
de Laval et al., 201661 Travellers 136 10 3 30 (5–62) All co-travellers were screened
Díaz-Menéndez et al., 201662 Travellers 185 13 2 15 (0–41) Bias towards symptomatic patients.
World Health Organization definition of symptoms was applied to data
Leal et al., 201664 Babies with microcephaly 70 63 9 14 (7–24) NA
Pacheco et al., 201665 Babies with microcephaly 50 4 4 100 (61–100) NA
Parra et al., 201666 Adults with Guillain–Barré syndrome 42 17 0 0 (0–10) Authors reported two definitions of Zika virus-positive: definite and probable. We used results from the definite definition
Adhikari et al., 201768 Pregnant women travellers 547 29 24 83 (67–95) All pregnant women who had recently travelled were screened
Aubry et al., 201769 General population: schoolchildren 476 312 91 29 (24–34) NA
General population 896 251 123 49 (43–55) NA
Flamand et al., 201770 Pregnant women 3 050 573 440 77 (73–80) NA
Lozier et al., 201771 General population 367 114 65 57 (48–66) Household-based cluster investigation around 19 index cases
Meneses et al., 201772 Babies with congenital zika virus syndrome 87 87 21 24 (16–34) Symptoms were measured in mothers during pregnancy
Pomar et al., 201774 Babies with congenital Zika virus syndrome 124 9 3 33 (6–68) Symptoms were measured in mothers during pregnancy
Pregnant women 1 690 301 249 83 (78–87) Tried to recruit a representative sample of all pregnant women
Reynolds et al., 201775 Pregnant women 972 947 599 63 (60–66) Zika virus-positive cases included women with possible recent Zika virus infection
Pregnant women (diagnosis confirmed) (972)b (243)b (102)b (42 (36–48))b Women with recent Zika virus infection confirmed by nucleic acid test
Rodo et al., 201776 Pregnant women travellers 183 39 22 56 (40–72) NA
Rozé et al., 201777 Adults with Guillain–Barré syndrome 30 23 7 30 (13–51) NA
Shapiro-Mendoza et al., 201778  Pregnant women 2 549 2 549 966 38 (36–40) Zika virus-positive included possible recent Zika virus infection
Babies with ≥ 1 birth defect 122 122 41 34 (25–42) Symptoms were measured in mothers
Stone et al., 201779 Blood donors 50 50 22 44 (30–58) NA
Shiu et al., 201880 Pregnant women 2 327 67 53 79 (68–88) Symptom information was missing for 19 women
Total NA 36 363 11 305 6 921 NA NA

NA: not applicable.

a If a studied had more than one reference, we awarded one reference the status of primary reference. All study references are presented in Table 1.

b These data are shown in parentheses because they do not contribute to the primary result but were used in sensitivity analyses.

Note: We searched for studies published from inception of the databases until 26 January 2018.

The risk of bias scores ranged from 1 to 9 out of a possible total of 10, with a mean score of 5.8 (Table 2). The most common limitations were: sample not clearly representative of the population (18 studies); response rate not reported, or large number of non-responders (19 studies); and not accounting for confounding factors or failure to identify subgroup differences (17 studies). The three cross-sectional seroprevalence studies of the general population had risk of bias scores between 6 and 8.

The 23 studies included a pooled number of 11 305 participants positive for Zika virus, 6921 of whom were asymptomatic. Meta-analysis showed a combined prevalence of asymptomatic Zika virus of 61.8% (95% CI: 33.0–87.1%). However, there was substantial heterogeneity (Q = 3291, P < 0.001, I2 = 99%), suggesting that the pooled prevalence is probably not a robust estimate. Analysis based on subgroups of the population (general population, returned travellers, blood donors, adults with Guillain‒Barré syndrome, pregnant women or babies with microcephaly) was not able to explain the heterogeneity (Fig. 2). There was also significant heterogeneity within all subgroups.

Fig. 2.

Prevalence of asymptomatic Zika virus infection in the systematic review of the literature

a schoolchildren

CI: confidence interval.

Notes: We searched for studies published from inception of the databases until 26 January 2018. The forest plot shows percentage of participants who tested positive for Zika virus and were asymptomatic. Prevalence was estimated from the quality effects model and using the double arcsine transformation of prevalence. The dotted line represents the combined prevalence found in the meta-analysis (0.62).

Fig. 2

Both the funnel plot (Fig. 3) and Doi plot (Fig. 4) showed major asymmetry. The most likely explanations for the asymmetry are selection bias, including publication bias, or true heterogeneity in the included studies.81 The largest study (population-adjusted sample: 6892; actual sample: 557)4 had a weight of 40.7% in the meta-analysis. Excluding this study completely removed the asymmetry (Luis Furuya-Kanamori index: 0.05) but not the heterogeneity (Q = 1484.5, P < 0.001, I2 = 98%). The study’s exclusion also resulted in a substantial reduction in the pooled estimate to 45.2% (95% CI: 28.9–62.0%) and a narrowing of the confidence intervals. When the actual sample figures from this study4 were used instead of the population-adjusted figures the resulting pooled estimate was 46.5% (95% CI: 31.2–62.2%), with major heterogeneity (Q = 1537.1, P < 0.001, I2 = 98%) but no asymmetry (Luis Furuya-Kanamori index: −0.57).

Fig. 3.

Funnel plot of publication bias in the systematic review of the prevalence of asymptomatic Zika virus infection

Note: The vertical line represents the combined effect size from the fixed effect meta-analysis

Fig. 3

Fig. 4.

Doi plot of publication bias in the systematic review of the prevalence of asymptomatic Zika virus infection

LFK: Luis Furuya-Kanamori.

Note: The vertical line represents the combined effect size from the quality effects meta-analysis.

Fig. 4

Discussion

Although we found 23 studies for this review, the high degree of heterogeneity in the studies made it difficult to form clear conclusions as to the true prevalence of asymptomatic Zika virus infection. Furthermore, subgroup analysis by population group was unable to explain the heterogeneity. While the prevalence of asymptomatic Zika virus infection appeared to be lower in returned travellers and adults with Guillain‒Barré syndrome, this could be due to the lack of representativeness of the samples, as those with symptoms are more likely to be tested.

The large variation in prevalence of asymptomatic Zika virus infection in the general population, which ranged from 29% (95% CI: 24–24%) in schoolchildren from French Polynesia69 to 82% (95% CI: 81–83%) in the general population of Yap State4 could be due to several reasons. One possibility could be the lack of representativeness of the French Polynesia sample as the response rate was not reported.69 A second possibility is that the population prevalence in Yap State was overestimated due to the method of assessing symptom status, which was done retrospectively and then adjusted for the percentage unlikely to be attributable to Zika virus infection.4 The high degree of sensitivity of the results to the removal of this study lends supports to this possibility. A third possibility is that differences in definitions of symptoms and criteria for Zika virus infection (including the diagnostic test used) could have led to differences in prevalence estimates. This possibility is supported by the lower prevalence of asymptomatic Zika virus infection in pregnant women with confirmed recent infection than in those with possible recent infection (42% versus 63%; Table 3) in the United States.75 Finally, the difference could be real.

The authors of a systematic review and meta-analysis of 55 influenza virus infection studies also found considerable heterogeneity in the proportion of asymptomatic infected persons.82 Despite the large number of studies, the heterogeneity could not be explained by the type of influenza, the laboratory tests used to detect the virus, the year of the study, or the location of the study.82 For Zika virus the amount and quality of the available evidence is insufficient to provide a single estimate of the prevalence of asymptomatic infection or to determine whether the heterogeneity found in this review is real.

In relation to the heterogeneity in prevalence, comparing two included studies that presented data on completed pregnancies from the United States Zika pregnancy registry and used similar surveillance methods is important.75,78 One study in the USA found an asymptomatic Zika virus infection prevalence of 63%;75 this is consistent with an earlier report of 61% from the same population,5 suggesting little variation over time. The other study was of completed pregnancies in United States Territories (American Samoa, Puerto Rico and United States Virgin Islands) and the Federated States of Micronesia and Marshall Islands78 and found a prevalence of asymptomatic Zika virus infection of 38%.78 If the difference is real or a result of differences in ascertainment of asymptomatic Zika virus infection is difficult to know. The registry is based on surveillance systems, which depend on testing in clinical practice and which can be affected by the care-seeking behaviour of the population. This raises the issue of the ability of surveillance systems to provide unbiased results for Zika virus research questions.83

Although we included population subgroups in our meta-analysis there were insufficient data to study the effect of demographic variables on the prevalence of asymptomatic Zika virus. While three of the included studies reported on age, sex or geographical differences in symptomatic infection,6971 clear conclusions were not possible to make.

A key strength of this review was the use of high-quality systematic review methods.9 Limitations of the review include the small number of studies found, especially cross-sectional seroprevalence studies, and the heterogeneity in the methods used across studies. The majority of studies included in the review were based on population health surveillance or screening programmes, rather than good-quality research studies. Furthermore, the included studies used various definitions of Zika virus positivity and rarely offered a definition for Zika virus symptom status. A variety of laboratory tests were used with varying degrees of validity, which can lead to potential misclassification error.83 A particular issue for Zika virus infection is the serological cross-reactivity of current IgM antibody assays with dengue virus, among other flaviviruses.84,85 The potential effect on the results is not known. In several studies there was also a bias towards inclusion of participants with symptoms due to the criteria for population surveillance or because symptomatic people are more likely to seek health care (e.g. travellers returning from Zika virus-endemic areas).

One clear finding from this review is that, given the current state of the evidence, it is not possible to give an accurate figure for the prevalence of asymptomatic Zika virus. Nor is it known whether the prevalence varies between populations or over time. Better-quality research is needed to estimate prevalence in the general population and in specific population groups. The use of standardized protocols developed by WHO and partners,86 particularly the protocol for the cross-sectional seroprevalence study of Zika virus infection in the general population,13 will be important in this regard. The protocol aims to standardize the diagnostic tests and definitions used, as well as encouraging consistent reporting.13,86 Use of the protocol will ensure results can be compared across regions and countries and help to improve the quality of the studies by minimizing bias.86 In this way the results of studies will better inform future public health surveillance and interventions.

Acknowledgements

Michelle Haby was contracted by the Pan American Health Organization to work on the Zika virus research platform and support Zika virus research efforts during the initial stages of this review, including study selection.

Competing interests:

None declared.

References

  • 1.Regional Zika epidemiological update (Americas) May 25, 2017. Washington: Pan American Health Organization; 2017. Available from: http://www.paho.org/hq/index.php?option=com_content&view=article&id=11599&Itemid=41691&lang=en [cited 2017 Jul 12].
  • 2.Krauer F, Riesen M, Reveiz L, Oladapo OT, Martínez-Vega R, Porgo TV, et al. ; WHO Zika Causality Working Group. Zika virus infection as a cause of congenital brain abnormalities and Guillain-Barre syndrome: systematic review. PLoS Med. 2017. January 3;14(1):e1002203. 10.1371/journal.pmed.1002203 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Leis AA, Stokic DS. Zika virus and Guillain-Barre syndrome: is there sufficient evidence for causality? Front Neurol. 2016. September 30;7:170. 10.3389/fneur.2016.00170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Duffy MR, Chen TH, Hancock WT, Powers AM, Kool JL, Lanciotti RS, et al. Zika virus outbreak on Yap Island, Federated States of Micronesia. N Engl J Med. 2009. June 11;360(24):2536–43. 10.1056/NEJMoa0805715 [DOI] [PubMed] [Google Scholar]
  • 5.Honein MA, Dawson AL, Petersen EE, Jones AM, Lee EH, Yazdy MM, et al. ; US Zika Pregnancy Registry Collaboration. Birth defects among fetuses and infants of US women with evidence of possible Zika virus infection during pregnancy. JAMA. 2017. January 3;317(1):59–68. 10.1001/jama.2016.19006 [DOI] [PubMed] [Google Scholar]
  • 6.Guidelines for surveillance of Zika virus disease and its complications. Washington: Pan American Health Organization; 2016. [Google Scholar]
  • 7.Lozier M, Adams L, Febo MF, Torres-Aponte J, Bello-Pagan M, Ryff KR, et al. Incidence of Zika virus disease by age and sex – Puerto Rico, November 1, 2015–October 20, 2016. MMWR Morb Mortal Wkly Rep. 2016. November 11;65(44):1219–23. 10.15585/mmwr.mm6544a4 [DOI] [PubMed] [Google Scholar]
  • 8.Joanna Briggs Institute reviewers’ manual: 2014 edition: supplement. The systematic review of prevalence and incidence data. Adelaide: The Joanna Briggs Institute; 2014. [Google Scholar]
  • 9.Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions, version 5.1.0. [updated March 2011]. London: The Cochrane Collaboration; 2011. Available from: www.handbook.cochrane.org [cited 2017 Jul 12]. [Google Scholar]
  • 10.Haby M, Pinart M, Elias V, Reveiz L. Prevalence of asymptomatic Zika Virus infection. PROSPERO 2017: CRD42017059342. York: Centre for Reviews and Dissemination, University of York; 2017. Available from: http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42017059342 [cited 2017 Jul 12]. [Google Scholar]
  • 11.Moher D, Liberati A, Tetzlaff J, Altman DG, Group P; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009. July 21;6(7):e1000097. 10.1371/journal.pmed.1000097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Case definitions. Washington: Pan American Health Organization; 2016. Available from: http://www.paho.org/hq/index.php?option=com_content&view=article&id=11117:2015-zika-case-definitions-&Itemid=41532&lang=en [cited 2016 Oct 28].
  • 13.Standardized protocol: cross-sectional seroprevalence study of Zika virus infection in the general population Geneva: World Health Organization and Institut Pasteur; 2016. Available from: http://origin.who.int/reproductivehealth/zika/zika-virus-research-agenda/en/ [cited 2016 Jul 22].
  • 14.Published primary research studies and protocols. Washington: Pan American Health Organization; 2017. Available from: http://www.paho.org/zika-research/ [cited 2017 Feb 6].
  • 15.Hoy D, Brooks P, Woolf A, Blyth F, March L, Bain C, et al. Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. J Clin Epidemiol. 2012. September;65(9):934–9. 10.1016/j.jclinepi.2011.11.014 [DOI] [PubMed] [Google Scholar]
  • 16.Barendregt JJ, Doi SA. MetaXL User Guide. Version 5.3. Sunrise Beach: EpiGear International Pty Ltd; 2011. [Google Scholar]
  • 17.Barendregt JJ, Doi SA, Lee YY, Norman RE, Vos T. Meta-analysis of prevalence. J Epidemiol Community Health. 2013. November 1;67(11):974–8. 10.1136/jech-2013-203104 [DOI] [PubMed] [Google Scholar]
  • 18.Doi SA, Barendregt JJ, Khan S, Thalib L, Williams GM. Advances in the meta-analysis of heterogeneous clinical trials II: The quality effects model. Contemp Clin Trials. 2015. November;45 Pt A:123–9. 10.1016/j.cct.2015.05.010 [DOI] [PubMed] [Google Scholar]
  • 19.Alvim LB, Romano OSD, Mateo E, Ferreira ACS, Zauli DAG. Zika virus in Brazil: a prevalence study. Proceedings of the 68th Annual Scientific Meeting of the American Association for Clinical Chemistry, 2016, United States. Clin Chem. 2016;62(10) Supplement 1:S144–5. [Google Scholar]
  • 20.de Araújo TVB, Ximenes RAA, Miranda-Filho DB, Souza WV, Montarroyos UR, de Melo APL, et al. ; investigators from the Microcephaly Epidemic Research Group; Brazilian Ministry of Health; Pan American Health Organization; Instituto de Medicina Integral Professor Fernando Figueira; State Health Department of Pernambuco. Association between microcephaly, Zika virus infection, and other risk factors in Brazil: final report of a case-control study. Lancet Infect Dis. 2018. March;18(3):328–36. 10.1016/S1473-3099(17)30727-2 [DOI] [PubMed] [Google Scholar]
  • 21.Bierlaire D, Mauguin S, Broult J, Musso D. Zika virus and blood transfusion: the experience of French Polynesia. Transfusion. 2017. March;57 3pt2:729–33. 10.1111/trf.14028 [DOI] [PubMed] [Google Scholar]
  • 22.Brasil P, Calvet GA, Siqueira AM, Wakimoto M, de Sequeira PC, Nobre A, et al. Zika virus outbreak in Rio de Janeiro, Brazil: clinical characterization, epidemiological and virological aspects. PLoS Negl Trop Dis. 2016. April 12;10(4):e0004636. 10.1371/journal.pntd.0004636 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Brasil P, Pereira JP Jr, Moreira ME, Ribeiro Nogueira RM, Damasceno L, Wakimoto M, et al. Zika virus infection in pregnant women in Rio de Janeiro. N Engl J Med. 2016. December 15;375(24):2321–34. 10.1056/NEJMoa1602412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Brasil P, Pereira JP Jr, Moreira ME, Ribeiro Nogueira RM, Damasceno L, Wakimoto M, et al. Zika virus infection in pregnant women in Rio de Janeiro. N Engl J Med. 2016. December 15;375(24):2321–34. 10.1056/NEJMoa1602412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Carvalho FHC, Cordeiro KM, Peixoto AB, Tonni G, Moron AF, Feitosa FEL, et al. Associated ultrasonographic findings in fetuses with microcephaly because of suspected Zika virus (ZIKV) infection during pregnancy. Prenat Diagn. 2016. September;36(9):882–7. 10.1002/pd.4882 [DOI] [PubMed] [Google Scholar]
  • 26.Chow A, Ho H, Win MK, Leo YS. Assessing sensitivity and specificity of surveillance case definitions for Zika virus disease. Emerg Infect Dis. 2017. April;23(4):677–9. 10.3201/eid2304.161716 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.de Paula Freitas B, de Oliveira Dias JR, Prazeres J, Sacramento GA, Ko AI, Maia M, et al. Ocular findings in infants with microcephaly associated with presumed Zika virus congenital infection in Salvador, Brazil. JAMA Ophthalmol. 2016. February 9;134(5):529–35. 10.1001/jamaophthalmol.2016.0267 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Delaney A, Mai C, Smoots A, Cragan J, Ellington S, Langlois P, et al. Population-based surveillance of birth defects potentially related to Zika virus infection – 15 States and U.S. Territories, 2016. MMWR Morb Mortal Wkly Rep. 2018. January 26;67(3):91–6. 10.15585/mmwr.mm6703a2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Dirlikov E, Major CG, Mayshack M, Medina N, Matos D, Ryff KR, et al. Guillain–Barré syndrome during ongoing Zika virus transmission – Puerto Rico, January 1–July 31, 2016. MMWR Morb Mortal Wkly Rep. 2016. September 2;65(34):910–4. 10.15585/mmwr.mm6534e1 [DOI] [PubMed] [Google Scholar]
  • 30.Eppes C, Rac M, Dempster C, Ballas J, Davidson C, Aagaard K. Zika virus in a non-endemic urban population: patient characteristics and ultrasound findings. Obstet Gynecol. 2017;129 Supplement 1:135S 10.1097/01.AOG.0000514683.06169.08 [DOI] [Google Scholar]
  • 31.Ferreira da Silva IR, Frontera JA, Moreira do Nascimento OJ. News from the battlefront: Zika virus-associated Guillain–Barré syndrome in Brazil. Neurology. 2016. October 11;87(15):e180–1. 10.1212/WNL.0000000000003024 [DOI] [PubMed] [Google Scholar]
  • 32.Figueiredo GM, Luna EJ, Cardoso MR, Levi JE, Felix AC, Souza NCC, et al. Zika virus infection in a cohort study to assess the incidence of dengue, state of Sao Paulo, Brazil, 2015, 2016. Proceedings of the 65th Annual Meeting of the American Society of Tropical Medicine and Hygiene, 2016, United States. Am J Trop Med Hyg. 2016;95(5) Supplement 1:226–7. [Google Scholar]
  • 33.França GV, Schuler-Faccini L, Oliveira WK, Henriques CM, Carmo EH, Pedi VD, et al. Congenital Zika virus syndrome in Brazil: a case series of the first 1501 livebirths with complete investigation. Lancet. 2016. August 27;388(10047):891–7. 10.1016/S0140-6736(16)30902-3 [DOI] [PubMed] [Google Scholar]
  • 34.González R, Camprubí E, Fernández L, Millet JP, Peracho V, Gorrindo P, et al. [Confirmed dengue, chikungunya and Zika cases during the period 2014 to 2016 in Barcelona, Spain]. Rev Esp Salud Publica. 2017. March 7;91. [Spanish] [PubMed] [Google Scholar]
  • 35.Griffin I, Zhang G, Fernandez D, Cordero C, Logue T, White SL, et al. Epidemiology of pediatric Zika virus infections. Pediatrics. 2017. December;140(6):e20172044. 10.1542/peds.2017-2044 [DOI] [PubMed] [Google Scholar]
  • 36.Hamer DH, Barbre K, Anderson S, Barnett ED, Boggild A, Bottieau E, et al. Zika virus disease among travelers returning from the Americas between January 2013 and February 2016: a geosentinel analysis. Proceedings of the 65th Annual Meeting of the American Society of Tropical Medicine and Hygiene, 2016, United States. Am J Trop Med Hyg. 2016;95(5) Supplement 1:218. [Google Scholar]
  • 37.Hancock WT, Soeters HM, Hills SL, Link-Gelles R, Evans ME, Daley WR, et al. Establishing a timeline to discontinue routine testing of asymptomatic pregnant women for Zika virus infection – American Samoa, 2016–2017. MMWR Morb Mortal Wkly Rep. 2017. March 24;66(11):299–301. 10.15585/mmwr.mm6611a5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Huits R, Van Den Bossche D, Feyen A, Potters I, Lotgering E, Eggermont K, et al. Incidence of travel-associated Zika virus infection in 2016: Preliminary results of a prospective cohort study in Belgian travellers to the Americas. Proceedings of the 10th European Congress on Tropical Medicine and International Health. Belgium. Trop Med Int Health. 2017;22 Supplement 1:29. [Google Scholar]
  • 39.Lee CT, Greene SK, Baumgartner J, Fine A. Disparities in Zika virus testing and incidence among women of reproductive age – New York city, 2016. J Public Health Manag Pract. 2017. October 27;1. 10.1097/PHH.0000000000000684 [DOI] [PubMed] [Google Scholar]
  • 40.Mani RS. Microcephaly not a reliable indicator of congenital Zika virus syndrome in infants. Natl Med J India. 2016. Nov-Dec;29(6):339–40. [PubMed] [Google Scholar]
  • 41.Marban-Castro E, Gonce A, Martinez MJ, Fumado V, Esteve C, Fortuny C, et al. Surveillance of Zika virus in pregnant women returning from affected areas: Results from a cohort study in southern Europe. Proceedings of the 10th European Congress on Tropical Medicine and International Health. Belgium. Trop Med Int Health. 2017;22 Supplement 1:28–9. [Google Scholar]
  • 42.Melo AS, Aguiar RS, Amorim MM, Arruda MB, Melo FO, Ribeiro ST, et al. Congenital Zika virus infection: beyond neonatal microcephaly. JAMA Neurol. 2016. December 1;73(12):1407–16. 10.1001/jamaneurol.2016.3720 [DOI] [PubMed] [Google Scholar]
  • 43.Moreira J, Peixoto TM, Siqueira AM, Lamas CC. Sexually acquired Zika virus: a systematic review. Clin Microbiol Infect. 2017. May;23(5):296–305. 10.1016/j.cmi.2016.12.027 [DOI] [PubMed] [Google Scholar]
  • 44.Nah K, Mizumoto K, Miyamatsu Y, Yasuda Y, Kinoshita R, Nishiura H. Estimating risks of importation and local transmission of Zika virus infection. PeerJ. 2016. April 5;4:e1904. 10.7717/peerj.1904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Rac M, Eppes C, Dempster C, Ballas J, Davidson C, Aagaard K. Screening for Zika virus in a high-risk non-endemic urban population: patient characteristics and testing outcomes. Obstet Gynecol. 2017;129 Supplement 1:35S 10.1097/01.AOG.0000514332.47783.0f [DOI] [Google Scholar]
  • 46.Salinas JL, Walteros DM, Styczynski A, Garzón F, Quijada H, Bravo E, et al. Zika virus disease-associated Guillain–Barré syndrome – Barranquilla, Colombia 2015-2016. J Neurol Sci. 2017. October 15;381:272–7. 10.1016/j.jns.2017.09.001 [DOI] [PubMed] [Google Scholar]
  • 47.Sarno M, Aquino M, Pimentel K, Cabral R, Costa G, Bastos F, et al. Progressive lesions of central nervous system in microcephalic fetuses with suspected congenital Zika virus syndrome. Ultrasound Obstet Gynecol. 2016 [DOI] [PubMed] [Google Scholar]
  • 48.Schaub B, Vouga M, Najioullah F, Gueneret M, Monthieux A, Harte C, et al. Analysis of blood from Zika virus-infected fetuses: a prospective case series. Lancet Infect Dis. 2017. May;17(5):520–7. 10.1016/S1473-3099(17)30102-0 [DOI] [PubMed] [Google Scholar]
  • 49.Styczynski AR, Malta JMAS, Krow-Lucal ER, Percio J, Nóbrega ME, Vargas A, et al. Increased rates of Guillain–Barré syndrome associated with Zika virus outbreak in the Salvador metropolitan area, Brazil. PLoS Negl Trop Dis. 2017. August 30;11(8):e0005869. 10.1371/journal.pntd.0005869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Torres FP, Esposito DL, Klein TM, Moraes FM, Persona MR, Fonseca BA. Defining the clinical manifestations of Zika and dengue patients attended in Ribeirao Preto, Brazil. Proceedings of the 65th Annual Meeting of the American Society of Tropical Medicine and Hygiene, 2016, United States. Am J Trop Med Hyg. 2016;95(5) Supplement 1:430. [Google Scholar]
  • 51.Tse C, Picon M, Rodriguez P, Gonzalez I, Starker R, Curry C. The effects of Zika in pregnancy: the Miami experience. Obstet Gynecol. 2017;129 Supplement 1:137S–8S. 10.1097/01.AOG.0000514691.21416.35 [DOI] [Google Scholar]
  • 52.Uncini A, González-Bravo DC, Acosta-Ampudia YY, Ojeda EC, Rodríguez Y, Monsalve DM, et al. Clinical and nerve conduction features in Guillain-Barré syndrome associated with Zika virus infection in Cúcuta, Colombia. Eur J Neurol. 2018. April;25(4):644–50. 10.1111/ene.13552 [DOI] [PubMed] [Google Scholar]
  • 53.Yakob L, Kucharski A, Hue S, Edmunds WJ. Low risk of a sexually-transmitted Zika virus outbreak. Lancet Infect Dis. 2016. October;16(10):1100–2. 10.1016/S1473-3099(16)30324-3 [DOI] [PubMed] [Google Scholar]
  • 54.Zambrano H, Waggoner J, León K, Pinsky B, Vera K, Schettino M, et al. High incidence of Zika virus infection detected in plasma and cervical cytology specimens from pregnant women in Guayaquil, Ecuador. Am J Reprod Immunol. 2017. February;77(2):e12630. 10.1111/aji.12630 [DOI] [PubMed] [Google Scholar]
  • 55.Musso D, Broult J, Aubry M. Zika virus and blood transfusion, experiences from French Polynesia. Vox Sang. 2016;111 Suppl 1:73–4. [Google Scholar]
  • 56.Musso D, Nhan T, Robin E, Roche C, Bierlaire D, Zisou K, et al. Potential for Zika virus transmission through blood transfusion demonstrated during an outbreak in French Polynesia, November 2013 to February 2014. Euro Surveill. 2014. April 10;19(14):20761. 10.2807/1560-7917.ES2014.19.14.20761 [DOI] [PubMed] [Google Scholar]
  • 57.Adams L, Bello-Pagan M, Lozier M, Ryff KR, Espinet C, Torres J, et al. Update: ongoing Zika virus transmission – Puerto Rico, November 1, 2015-July 7, 2016. MMWR Morb Mortal Wkly Rep. 2016. August 5;65(30):774–9. 10.15585/mmwr.mm6530e1 [DOI] [PubMed] [Google Scholar]
  • 58.de Araújo TVB, Rodrigues LC, de Alencar Ximenes RA, de Barros Miranda-Filho D, Montarroyos UR, de Melo APL, et al. ; investigators from the Microcephaly Epidemic Research Group; Brazilian Ministry of Health; Pan American Health Organization; Instituto de Medicina Integral Professor Fernando Figueira; State Health Department of Pernambuco. Association between Zika virus infection and microcephaly in Brazil, January to May, 2016: preliminary report of a case–control study. Lancet Infect Dis. 2016. December;16(12):1356–63. 10.1016/S1473-3099(16)30318-8 [DOI] [PubMed] [Google Scholar]
  • 59.Cao-Lormeau VM, Blake A, Mons S, Lastere S, Roche C, Vanhomwegen J, et al. Guillain–Barré syndrome outbreak associated with Zika virus infection in French Polynesia: a case–control study. Lancet. 2016. April 9;387(10027):1531–9. 10.1016/S0140-6736(16)00562-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Dasgupta S, Reagan-Steiner S, Goodenough D, Russell K, Tanner M, Lewis L, et al. ; Zika Virus Response Epidemiology and Laboratory Team. Patterns in Zika virus testing and infection, by report of symptoms and pregnancy status – United States, January 3–March 5, 2016. MMWR Morb Mortal Wkly Rep. 2016. April 22;65(15):395–9. 10.15585/mmwr.mm6515e1 [DOI] [PubMed] [Google Scholar]
  • 61.de Laval F, Matheus S, Maquart M, Yvrard E, Barthes N, Combes C, et al. Prospective Zika virus disease cohort: systematic screening. Lancet. 2016. August 27;388(10047):868. 10.1016/S0140-6736(16)31429-5 [DOI] [PubMed] [Google Scholar]
  • 62.Diaz-Menendez M, de la Calle-Prieto F, Montero D, Antolin E, Vazquez A, Arsuaga M, et al. Initial experience with imported Zika virus infection in Spain. Enferm Infecc Microbiol Clin. 2016; Epub20161017. [DOI] [PubMed] [Google Scholar]
  • 63.Díaz-Menéndez M, de la Calle-Prieto F, Montero D, Antolín E, Vazquez A, Arsuaga M, et al. ; Grupo de Trabajo Multidisciplinar del Hospital La Paz-Carlos III en Enfermedad por Virus Zika. Initial experience with imported Zika virus infection in Spain. Enferm Infecc Microbiol Clin. 2018. January;36(1):4–8. 10.1016/j.eimc.2016.08.003 [DOI] [PubMed] [Google Scholar]
  • 64.Leal MC, Muniz LF, Ferreira TS, Santos CM, Almeida LC, Van Der Linden V, et al. Hearing loss in infants with microcephaly and evidence of congenital Zika virus infection – Brazil, November 2015–May 2016. MMWR Morb Mortal Wkly Rep. 2016. September 2;65(34):917–9. 10.15585/mmwr.mm6534e3 [DOI] [PubMed] [Google Scholar]
  • 65.Pacheco O, Beltrán M, Nelson CA, Valencia D, Tolosa N, Farr SL, et al. Zika virus disease in Colombia – preliminary report. N Engl J Med. 2016. June 15;NEJMoa1604037. 10.1056/NEJMoa1604037 [DOI] [PubMed] [Google Scholar]
  • 66.Parra B, Lizarazo J, Jiménez-Arango JA, Zea-Vera AF, González-Manrique G, Vargas J, et al. Guillain–Barré syndrome associated with Zika virus infection in Colombia. N Engl J Med. 2016. October 20;375(16):1513–23. 10.1056/NEJMoa1605564 [DOI] [PubMed] [Google Scholar]
  • 67.Adhikari EH, Jacobs SO, Rogers VL, Roberts SW, Nelson DB, Casey BM. A county hospital-based prenatal screening program for Zika virus infection. Am J Obstet Gynecol. 2017;216(1) Supplement 1:S345 10.1016/j.ajog.2016.11.318 [DOI] [PubMed] [Google Scholar]
  • 68.Adhikari EH, Nelson DB, Johnson KA, Jacobs S, Rogers VL, Roberts SW, et al. Infant outcomes among women with Zika virus infection during pregnancy: results of a large prenatal Zika screening program. Am J Obstet Gynecol. 2017. March;216(3):292.e1–8. 10.1016/j.ajog.2017.01.018 [DOI] [PubMed] [Google Scholar]
  • 69.Aubry M, Teissier A, Huart M, Merceron S, Vanhomwegen J, Roche C, et al. Zika virus seroprevalence, French Polynesia, 2014–2015. Emerg Infect Dis. 2017. April;23(4):669–72. 10.3201/eid2304.161549 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Flamand C, Fritzell C, Matheus S, Dueymes M, Carles G, Favre A, et al. The proportion of asymptomatic infections and spectrum of disease among pregnant women infected by Zika virus: systematic monitoring in French Guiana, 2016. Euro Surveill. 2017. November;22(44): 10.2807/1560-7917.ES.2017.22.44.17-00102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Lozier MJ, Burke RM, Lopez J, Acevedo V, Amador M, Read JS, et al. Differences in prevalence of symptomatic Zika virus infection by age and sex-Puerto Rico, 2016. J Infect Dis. 2017. December 6; 10.1093/infdis/jix630 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Meneses JDA, Ishigami AC, de Mello LM, de Albuquerque LL, de Brito CAA, Cordeiro MT, et al. Lessons learned at the epicenter of Brazil’s congenital Zika epidemic: evidence from 87 confirmed cases. Clin Infect Dis. 2017. May 15;64(10):1302–8. 10.1093/cid/cix166 [DOI] [PubMed] [Google Scholar]
  • 73.Pomar L, Malinger G, Benoist G, Carles G, Ville Y, Rousset D, et al. Association between Zika virus and fetopathy: a prospective cohort study in French Guiana. Ultrasound Obstet Gynecol. 2017. June;49(6):729–36. 10.1002/uog.17404 [DOI] [PubMed] [Google Scholar]
  • 74.Pomar L, Malinger G, Benoist G, Carles G, Ville Y, Rousset D, et al. Association between Zika virus and fetopathy: a prospective cohort study in French Guiana. Ultrasound Obstet Gynecol. 2017. June;49(6):729–36. 10.1002/uog.17404 [DOI] [PubMed] [Google Scholar]
  • 75.Reynolds MR, Jones AM, Petersen EE, Lee EH, Rice ME, Bingham A, et al. ; U.S. Zika Pregnancy Registry Collaboration. Vital signs: update on Zika virus-associated birth defects and evaluation of all U.S. infants with congenital Zika virus exposure – U.S. Zika pregnancy registry, 2016. MMWR Morb Mortal Wkly Rep. 2017. April 7;66(13):366–73. 10.15585/mmwr.mm6613e1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Rodo C, Soriano-Arandes A, Suy A, Sulleiro E, Garcia I, Frick A, et al. Epidemiological, microbiological and clinical data of traveller pregnant women returning from vector-borne endemic areas for Zika virus. Proceedings of the 10th European Congress on Tropical Medicine and International Health, Belgium. Trop Med Int Health. 2017;22 Supplement 1:200. [Google Scholar]
  • 77.Rozé B, Najioullah F, Fergé JL, Dorléans F, Apetse K, Barnay JL, et al. ; Guillain–Barré Syndrome Zika Working Group of Martinique. Guillain–Barré syndrome associated with Zika virus infection in Martinique in 2016: a prospective study. Clin Infect Dis. 2017. October 16;65(9):1462–8. 10.1093/cid/cix588 [DOI] [PubMed] [Google Scholar]
  • 78.Shapiro-Mendoza CK, Rice ME, Galang RR, Fulton AC, VanMaldeghem K, Prado MV, et al. ; Zika Pregnancy and Infant Registries Working Group. Pregnancy outcomes after maternal Zika virus infection during pregnancy ‒ U.S. Territories, January 1, 2016–April 25, 2017. MMWR Morb Mortal Wkly Rep. 2017. June 16;66(23):615–21. 10.15585/mmwr.mm6623e1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Stone M, Bakkour S, Lee TH, Lanteri M, Simmons G, Brambilla D, et al. Zika RNA persistence in blood and body fluids and clinical outcomes in infected blood donors. Proceedings of the AABB Annual Meeting 2017, United States. Transfusion. 2017;57 Supplement 3:4A. [Google Scholar]
  • 80.Shiu C, Starker R, Kwal J, Bartlett M, Crane A, Greissman S, et al. Zika virus testing and outcomes during pregnancy, Florida, USA, 2016. Emerg Infect Dis. 2018. January;24(1):1–8. 10.3201/eid2401.170979 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Sterne JAC, Egger M, Davey Smith G. Investigating and dealing with publication and other biases. In: Egger M, Davey Smith G, Altman DG, editors. Systematic reviews in health care: meta-analysis in context. 2nd ed. London: BMJ Publishing Group; 2001. pp. 189–208. 10.1002/9780470693926.ch11 [DOI] [Google Scholar]
  • 82.Furuya-Kanamori L, Cox M, Milinovich GJ, Magalhaes RJ, Mackay IM, Yakob L. Heterogeneous and dynamic prevalence of asymptomatic influenza virus infections. Emerg Infect Dis. 2016. June;22(6):1052–6. 10.3201/eid2206.151080 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Reveiz L, Haby MM, Martínez-Vega R, Pinzón-Flores CE, Elias V, Smith E, et al. Risk of bias and confounding of observational studies of Zika virus infection: A scoping review of research protocols. PLoS One. 2017. July 7;12(7):e0180220. 10.1371/journal.pone.0180220 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Revised diagnostic testing for Zika, chikungunya, and dengue viruses in US public health laboratories. Atlanta: Centers for Disease Control and Prevention; 2016. Available from: https://stacks.cdc.gov/view/cdc/38149 [cited 2016 Feb 7].
  • 85.de Vasconcelos ZFM, Azevedo RC, Thompson N, Gomes L, Guida L, Moreira MEL. Challenges for molecular and serological ZIKV infection confirmation. Childs Nerv Syst. 2018. January;34(1):79–84. 10.1007/s00381-017-3641-5 [DOI] [PubMed] [Google Scholar]
  • 86.Van Kerkhove MD, Reveiz L, Souza JP, Jaenisch T, Carson G, Broutet N; Working Group on ZIKV Harmonized Research. Harmonisation of Zika virus research protocols to address key public health concerns. Lancet Glob Health. 2016. December;4(12):e911–2. 10.1016/S2214-109X(16)30255-8 [DOI] [PubMed] [Google Scholar]

Articles from Bulletin of the World Health Organization are provided here courtesy of World Health Organization

RESOURCES