Skip to main content
Download PDF

Prevalence of microcephaly and Zika virus infection in a pregnancy cohort in Kenya, 2017–2019

BMC Medicine volume 20, Article number: 291 (2022) Cite this article

Abstract

Background

Zika virus (ZIKV), first discovered in Uganda in 1947, re-emerged globally in 2013 and was later associated with microcephaly and other birth defects. We determined the incidence of ZIKV infection and its association with adverse pregnancy and fetal outcomes in a pregnancy cohort in Kenya.

Methods

From October 2017 to July 2019, we recruited and followed up women aged ≥ 15 years and ≤ 28 weeks pregnant in three hospitals in coastal Mombasa. Monthly follow-up included risk factor questions and a blood sample collected for ZIKV serology. We collected anthropometric measures (including head circumference), cord blood, venous blood from newborns, and any evidence of birth defects. Microcephaly was defined as a head circumference (HC) < 2 standard deviations (SD) for sex and gestational age. Severe microcephaly was defined as HC < 3 SD for sex and age. We tested sera for anti-ZIKV IgM antibodies using capture enzyme-linked immunosorbent assay (ELISA) and confirmed positives using the plaque reduction neutralization test (PRNT90) for ZIKV and for dengue (DENV) on the samples that were ZIKV neutralizing antibody positive. We collected blood and urine from participants reporting fever or rash for ZIKV testing.

Results

Of 2889 pregnant women screened for eligibility, 2312 (80%) were enrolled. Of 1916 recorded deliveries, 1816 (94.6%) were live births and 100 (5.2%) were either stillbirths or spontaneous abortions (< 22 weeks of gestation). Among 1236 newborns with complete anthropometric measures, 11 (0.9%) had microcephaly and 3 (0.2%) had severe microcephaly. A total of 166 (7.2%) participants were positive for anti-ZIKV IgM, 136 of whom became seropositive during follow-up. Among the 166 anti-ZIKV IgM positive, 3 and 18 participants were further seropositive for ZIKV and DENV neutralizing antibodies, respectively. Of these 3 and 18 pregnant women, one and 13 (72.2%) seroconverted with antibodies to ZIKV and DENV, respectively. All 308 samples (serum and urine samples collected during sick visits and samples that were anti-ZIKV IgM positive) tested by RT-PCR were negative for ZIKV. No adverse pregnancy or neonatal outcomes were reported among the three participants with confirmed ZIKV exposure. Among newborns from pregnant women with DENV exposure, four (22.2%) were small for gestational age and one (5.6%) had microcephaly.

Conclusions

The prevalence of severe microcephaly among newborns in coastal Kenya was high relative to published estimates from facility-based studies in Europe and Latin America, but little evidence of ZIKV transmission. There is a need for improved surveillance for microcephaly and other congenital malformations in Kenya.

Peer Review reports

Background

In 2015, the Asian lineage of Zika virus (ZIKV), a mosquito-borne pathogen first described in Uganda in 1947, spread globally to cause widespread outbreaks in the Americas and Asia. Although more than 80% of these ZIKV infections were mild or subclinical, infections in pregnant women were associated with multiple congenital fetal malformations collectively referred to as congenital Zika syndrome and include microcephaly, congenital contractures, brainstem dysfunction, and severe cerebral and eye lesions [1,2,3,4].

In February 2016, the World Health Organization declared the ZIKV outbreak a public health event of international concern, and calls were made for pregnancy cohort studies to better understand the role of clinical and subclinical infections in congenital malformations and characterize the incidence and spectrum of these adverse outcomes [5]. Subsequently, prospective studies in Latin America during the outbreak reported a wide range of seropositivity to ZIKV infection (8–53%) and confirmed the association between Zika infection in pregnant women and adverse fetal outcomes [1, 6, 7].

In sub-Saharan Africa (sSA), two outbreaks of ZIKV (Asian lineage) associated with microcephaly were reported in Cape Verde and Angola in 2016 [8, 9]. Although modeling studies suggest that the risk of transmission of flaviviruses, including ZIKV, dengue, and yellow fever, is high in many areas of sSA [10], limited data exist on ZIKV circulation in this region. The surveillance of microcephaly in the continent is very rudimentary, and it remains unclear if ZIKV infection has caused an undocumented burden of microcephaly and other birth defects [11]. One recent analysis of specimens from a dengue outbreak has shown that ZIKV co-circulated in Kenya in 2013, while another study found a prevalence of neutralizing anti-ZIKV antibodies of up to 7% in Northern Kenya [12, 13]. However, cross-reacting antibodies between flaviviruses can complicate the interpretation of these findings [14]. Moreover, serologic and viral surveillance cannot easily differentiate between the Asian and African lineages of Zika. Recent studies suggest that the African ZIKV lineage virus has higher transmissibility and pathogenicity compared to the Asian lineage strain, and infection in pregnant women may be more likely to cause total fetal loss than congenital deformities associated with the Asian lineage [15].

We established a prospective cohort study among pregnant women in an area of coastal Kenya predicted to be at risk for circulating ZIKV [16] because of circulating dengue and the Aedes aegypti vector, the primary mosquito that transmits ZIKV. We aimed to determine the incidence and seroprevalence of ZIKV infection and assess its association with adverse pregnancy outcomes.

Methods

Study setting

We enrolled pregnant women who sought care at one of three hospitals in Mombasa on the east coast of Kenya. These were (a) Coast General Hospital, the second largest public hospital in Kenya with a capacity of 700 beds; (b) Port Reitz Hospital with a capacity of 166 beds; and (c) Bomu Hospital, a private health hospital with a capacity of 45 beds, and an HIV care reference center.

Participants and eligibility criteria

Pregnant women presenting for antenatal care (ANC) were eligible for enrolment if they met the following criteria: (1) aged 15 years or older, (2) had a confirmed pregnancy from ANC records or ultrasound, (3) had an estimated gestational age ≤ 28 weeks, and (4) planned to attend ANC and deliver at the study hospitals. We excluded women who were found to have an ectopic or molar pregnancy by ultrasound findings and were participating in trials of experimental drugs and devices or those incarcerated.

Study procedures

After informed consent and enrolment, a baseline questionnaire was administered, a dating ultrasound was conducted for those without an obstetric ultrasound before enrolment, and 5 ml of venous blood sample was collected. When ultrasound was not available, the date of the last menstrual period, antenatal medical records on gestational age, or clinical assessment of fundal height were used in that order to assess gestational age. Participants were followed up monthly at the study clinic for the duration of their pregnancy at which time a questionnaire on risk factors was completed and a 5-ml blood sample collected. Participants were also asked to report and attend the clinic for assessment if they experienced any fever or rash. If symptom onset was within 7 days of the report, urine and blood samples were collected.

At delivery, maternal, placenta, and cord blood samples were collected, and a questionnaire administered. The study staff conducted a newborn physical assessment within 48 h of birth for gross abnormalities and measured birth weight, head circumference, and other anthropometric characteristics. Additionally, 3 ml of venous blood was drawn from the newborn (Fig. 1). Participants who did not deliver at the study sites were asked to attend the study facilities within 2 weeks for maternal and newborn blood sample collection.

Fig. 1
figure 1

Schedule of study procedures in the pregnancy cohort, Kenya, 2017–2019

Full size image

Data collection

During enrolment and monthly follow-up, structured questionnaires were administered by trained study staff to collect data on sociodemographic characteristics, pregnancy characteristics, potential risk factors for congenital defects, and environmental risk factors for ZIKV infection such as water storage, exposure to mosquitoes, and prevention against mosquito bites. Other data collected included medical and obstetric history, signs and symptoms of possible ZIKV infection, and other relevant infections, including details and timing in relation to pregnancy/gestational age and pregnancy outcomes (such as live birth, miscarriage, and stillbirth). Study data were collected via electronic tablets using REDCap [17]. We abstracted data from participants’ ANC, sick visits, and delivery medical records to capture relevant information. Clinical measurements of the newborn were performed following standard procedures by study staff at the study sites [18].

Laboratory procedures

All samples were barcoded, stored at − 20 °C, and shipped to the Kenya Medical Research Institute/Centers for Disease Control and Prevention laboratory in Nairobi for storage at − 80 °C until tested in the same laboratory.

Maternal and newborn sera were tested for anti-ZIKV IgM antibodies using the ZIKV IgM antibody capture enzyme-linked immunoassay (MAC-ELISA) as described previously [19]. Briefly, Immunol plates were coated with anti-human IgM (Kirkegaard and Perry Laboratories) and incubated overnight before incubation for 2 h with patient sera diluted at 1:400. Vero-cell-derived ZIKV E6 antigen was added to the plate and detected using 6B6C1 anti-ZIKV IgG horseradish peroxidase-conjugated monoclonal. Due to the potential of cross-reactivity with other flaviviruses (particularly dengue virus), anti-ZIKV IgM-positive samples were confirmed using the ZIKV 90% plaque reduction neutralization test (PRNT90) as previously described [20, 21]. Furthermore, samples with ZIKV PRNT90 titers ≥ 1:20 were tested for dengue virus-2 (DENV2, used because it cross-reacts with other DENV serotypes) by PRNT90 (Fig. 2). Urine and serum samples from participants with possible ZIKV infection (defined below) and anti-ZIKV IgM positive were tested for ZIKV RNA using CDC real-time reverse transcription polymerase chain reaction (rRT-PCR).

Fig. 2
figure 2

Testing algorithm for Zika virus antibodies among participants in the pregnancy cohort, Kenya, 2017–2019. DENV, dengue fever virus; ZIKV, Zika virus; PRNT, plaque reduction neutralization assay

Full size image

Study definitions

A possible case of ZIKV infection was defined as any participant with fever (≥ 38° C) or a history of fever (within the previous 7 days) or a rash. A probable case was defined as the presence of IgM antibodies against ZIKV. A confirmed case of ZIKV infection was defined as detection of ZIKV RNA by rRT-PCR in serum or urine samples, or ZIKV IgM positive and PRNT90 for ZIKV with titer ≥ 20 and ZIKV PRNT90 titer ratio ≥ fourfold higher when compared to DENV [22]. A confirmed DENV-positive case was defined as DENV PRNT90 titer ratio ≥ fourfold higher when compared to ZIKV PRNT90 titers (Fig. 2).

Microcephaly was defined as a head circumference < 2 standard deviations (SD) below the mean for sex and gestational age and severe microcephaly as a head circumference < 3 SD based upon INTERGROWTH-21st standards [18]. We defined stillbirth as a baby born without any sign of life and birthweight of ≥ 500 g or, if missing, ≥ 22 completed weeks of gestation. Abortion was defined as pregnancy losses < 22 weeks of gestation. Low birth weight was defined as < 2500 g. Small-for-gestational-age (SGA) was defined as a birth weight z-scores of <  − 1.28 at birth (equivalent to the 10th percentile) and extreme SGA as a birth weight of <  − 1.88 z-scores (equivalent to the 3rd percentile) [18].

Sample size

The sample size estimation was based on the hypothesis that pregnant women with incident ZIKV infection (primary exposure) have a higher risk of microcephaly and other congenital malformations (primary outcome) in their offspring at delivery. Assuming a background risk of microcephaly of 0.03%, a minimum detectable relative risk of 25, and the proportion of the study cohort with incident Zika virus infection of 3 to 5% [23], a sample size of between 2127 and 2669 pregnant women was needed to achieve a power of at least 80%.

Data analysis

Descriptive analyses were performed using categorical and continuous variables, compared using the chi-square test or Fisher’s exact test or using the Student t-test. Continuous variables with a non-normal distribution were compared using the Kruskal–Wallis test. For all the analyses, data were considered significant at a p-value of < 0.05. All data were analyzed using the R statistical software [24].

Ethical considerations

This study was approved by the Kenyatta National Hospital/University of Nairobi Ethical Review Committee [P71/102/2017], the Washington State University institutional review board [IRB No. 15897], and the CDC institutional review board [# 7021]. Participants (those below 18 years were considered emancipated minors) provided informed consent at the time of recruitment.

Results

Characteristics at enrolment and follow-up

From October 2017 to July 2019, a total of 3069 pregnant women were referred from the ANC clinics and 2889 (94.1%) were screened for eligibility. Of these, 2647 (91.6%) were eligible and 2312 (87.3%) enrolled in the study. Among enrollees, delivery outcome data were available for 1916 (82.9%) while 396 (17.1%) were either lost to follow-up (delivery outcome not recorded) or withdrew from the study (Fig. 3). Participants who were lost to follow-up or withdrew from the study were significantly older and with higher gestational age at enrolment (Table S1).

Fig. 3
figure 3

Flow diagram of the pregnancy cohort, Kenya, 2017–2019

Full size image

The mean age of the enrolled participants was 28.4 years (SD 5.6), median gestational age of 20.0 weeks [interquartile range (IQR) 15.1–24.1] at enrollment. A total of 2028 (87.5%) participants had a dating ultrasound completed. Overall, 343 (15.9%) of the participants were HIV infected, and of these, 267 (77.8%) were enrolled at Bomu hospital, and 310 (92%) were on antiretroviral medication. Nearly 30% of the participants reported a previous diagnosis of chikungunya or dengue by a health care worker. Other sociodemographic and obstetric characteristics are included in Table 1. The median number of follow-up visits among participants was four (IQR = 2–5). One hundred and four women reported fever (n = 99) or rash (n = 10) during pregnancy with 20 identified at enrolment and 84 during follow-up. Of all the symptomatic pregnant women, blood and urine samples were obtained from 81 (77.9%).

Table 1 Sociodemographic, obstetric, and clinical characteristics of the pregnancy cohort at enrolment, Kenya, 2017–2019
Full size table

Delivery outcomes

Of 1916 recorded delivery outcomes, 1816 (94.8%) were live births (including 25 (1.3%) twin gestations) and 100 (5.2%) deliveries were either stillbirths or abortions (Table 2). More than two-thirds [1365 (71.2%)] of the deliveries were at the study facilities. A total of 23 (1.2%) of all newborns had at least one overt congenital abnormality: 12 (52.2%) congenital umbilical hernias, 6 (20.7%) upper and 4 (13.8%) lower limb deformities, and one Down syndrome. One newborn had both upper and lower limb deformities. Among the 66 stillbirths, 19 (28.7%) were examined at delivery with no gross anomalies noted.

Table 2 Delivery and newborn characteristics of the pregnancy cohort, Kenya, 2017–2019
Full size table

Among 1236 (64.5%) newborns with data on sex and gestational age and head circumference measurements, 11 (0.9%) presented with microcephaly and 3 (0.2%) with severe microcephaly. This translates to a prevalence of 90 (95% CI 45–159) cases of microcephaly per 10,000 births and 20 (95% CI 5–71) cases per 10,000 births for severe microcephaly. Slightly over 10% of the newborns were small for gestational age (SGA) (Supporting information).

Laboratory results

We collected and tested a median of 4 (IQR 2–5) serum samples per participant, for a total of 8276 samples including 6518 (78.8%) maternal, 924 (11.2%) newborn, and 834 (10.1%) cord blood samples. During the study, 81 women presented with fever or rash. All serum and urine samples collected within 7 days of onset were negative by RT-PCR for ZIKV and by MAC-ELISA for IgM.

Samples from 2293 (99.2%) were tested for anti-ZIKV IgM, and 166 (7.2%) women had at least one blood sample positive for anti-ZIKV IgM. Among them, 131 (78.9%) tested positive in one sample, 25 (15.1%) in two samples, and 10 (6%) in more than two samples for a total of 213 positive IgM samples. The majority (136 [81.9%]) of these participants were anti-ZIKV IgM negative at enrolment and became seropositive during the follow-up period corresponding to an anti-ZIKV IgM incidence of 5.9 per 100 pregnancies. Two seropositive participants reported a history of clinical diagnosis of dengue fever within 4 weeks before collection of the sample that was anti-ZIKV IgM positive.

The proportion of anti-ZIKV IgM-seropositive participants who had newborns with microcephaly compared to seronegative participants was not statistically different (1.6% vs 0.8%, p-value = 0.682, n = 1236). Similarly, the proportion of SGA among anti-ZIKV IgM seropositive compared to seronegative participants was not statistically different (15.4% vs 11.4%, p-value = 0.245, n = 1200) (Table 3). There was no statistical association between ZIKV IgM seroconversion and microcephaly or SGA.

Table 3 Comparison of pregnancy and newborn characteristics by anti-Zika virus IgM positivity in the pregnancy cohort, Kenya, 2017–2019
Full size table

Among the 166 participants with anti-ZIKV IgM, samples from 144 (86.7%) participants were tested by PRNT and 3 (2.1%) were confirmed ZIKV positive and 18 (12.5%) confirmed DENV positive while 7 (4.9%) were inconclusive, for a seroprevalence of 0.1% for ZIKV in the cohort (n = 2293). None of the newborns from the three ZIKV PRNT-positive women had microcephaly. Of the three participants positive for ZIKV by PRNT, two were positive at enrolment. The pregnancy and delivery characteristics of the three participants are outlined in Table 4.

Table 4 Pregnancy and delivery characteristics of three participants of a pregnancy cohort with confirmed ZIKV by PRNT, Kenya, 2017–2019
Full size table

Among the 18 participants who were DENV PRNT positive, four tested positive at two different study visits. Thirteen (72.2%) of these 18 participants were DENV confirmed during the follow-up period while five (27.8%) participants were confirmed DENV positive at enrolment. Four (22.2%) of the DENV-positive participants delivered small-for-gestational-age offspring and one (5.6%) participant delivered a newborn with microcephaly (the participant was DENV PRNT positive at enrolment at 11.2 weeks of gestation). Seven (31.8%) of the participants with confirmed DENV were HIV infected and one participant had a stillbirth at 31.3 weeks of gestation.

We found the sera of one mother and her newborn collected during delivery to be seropositive for anti-ZIKV IgM and DENV PRNT. Another mother had maternal serum collected at delivery that was anti-ZIKV IgM positive but ZIKV PRNT negative (therefore not evaluated for DENV) and newborn serum that was anti-ZIKV IgM and DENV PRNT positive.

Discussion

In this large longitudinal study of pregnant women in coastal Kenya from 2017 to 2019, we found little evidence of active Zika virus circulation, but possible evidence of a higher prevalence of severe microcephaly of 0.2% compared with 0.13% expected from a reference population based on INTERGROWTH-21st standards [18]. However, the prevalence of any microcephaly in our study was less than half of the expected (2.3%) in the reference population. We found evidence of ZIKV neutralizing antibodies in only three among 2293 participants screened first for IgM. Two of the participants were already seropositive for ZIKV by IgM and PRNT at enrolment between 12 and 14 weeks of gestation, and therefore, it remains unclear if the infection occurred during pregnancy or previously. However, of note, 136 of 166 women became IgM positive during follow-up of which 18 were determined positive for DENV by PRNT. With the assumption that the IgM and ZIKV PRNT positivity reflected cross-reaction of dengue IgM antibodies, these results suggest substantial dengue circulation in this population, but since only the ZIKV PRNT positive were tested for DENV, it remains likely that the true burden of dengue was higher. The higher DENV seropositivity reflects high transmission of DENV in an area that has reported regular outbreaks over the last decade [25, 26]. Almost three-quarters of the participants with evidence of exposure to DENV seroconverted during the study follow-up, further evidence of the high level of transmission of DENV.

The prevalence of microcephaly of 90 cases per 10,000 births in our study was about half that reported in a retrospective study (200 cases per 10,000 births) from an earlier period (2012–2016) in Kilifi, coastal Kenya [27]. However, the level of microcephaly reported in our study was at least 9 times higher than < 10 cases per 10,000 births reported from studies in Europe and Latin America [28, 29]. It was also 1.5 times higher than reported in Brazil (60 cases per 10,000 births) at the peak of the ZIKV outbreak in 2016. However, a study in China reported a higher prevalence of 410 cases per 10,000 births [30]. None of the newborns with microcephaly in our study had evidence of ZIKV and only one had confirmed DENV exposure. Nonetheless, the low number of infections in our study means that we cannot exclude an association. Microcephaly is associated with infectious (such as rubella, cytomegalovirus, herpes simplex virus, immunodeficiency virus, toxoplasmosis, and syphilis), environmental, and genetic causes. The higher prevalence of microcephaly in coastal Kenya as reported in our study and from the study in Kilifi [27] compared to facility-based studies from other countries could be because the cited studies used clinical data, in addition, to head circumference measurements to define microcephaly and variations in the head circumference cutoff for defining microcephaly (some studies defined microcephaly head circumference < 3 SD below the mean for sex and gestational age).

The low levels of ZIKV seropositivity in our study are similar to findings from several studies in Africa and Asia. A study in a long-term cohort on HIV transmission among women in Mombasa assessed by PRNT for anti-ZIKV neutralizing antibodies among febrile presentations found ZIKV seropositivity in one of 900 participants [31]. Similar findings with fewer than five participants seropositive for ZIKV from among several hundred tested were reported in Uganda, DR Congo, Cambodia, and Vietnam [21, 32,33,34]. Commonly in these studies, DENV seropositivity was higher than that of ZIKV. Contrary to our findings, a study in northern Kenya reported a high ZIKV seroprevalence of 7% and DENV seroprevalence of 1%, although it was not clear how the potential cross-reactivity was assessed [12].

The low levels of ZIKV transmission could be due to the competition of the virus on the same vector and host. In countries that reported high ZIKV seroprevalence of 50–73% during the 2013–2016 outbreak, the incidence of DENV decreased during the ZIKV outbreak but increased after the outbreak [35]. Additionally, the differences in transmission could be a reflection of the cyclic variation of flavivirus transmission or other favorable climatic conditions [36]. Recently, it has been shown that different subspecies of Aedes aegypti may have different susceptibility to ZIKV infection and that the vectors in the Americas represent a population of mosquitoes susceptible to ZIKV infection, whereas similar mosquitoes in Africa may be resistant [37].

Our findings of IgM positivity in neonatal sera suggest prepartum infection and vertical transmission of DENV since IgM antibodies do not cross the placenta. Vertical transmission of DENV is associated with preterm deliveries and low birth weight although the mechanism is not clear. Congenital malformations of the nervous system have also been associated with DENV infection in pregnancy [38,39,40].

Our study had several limitations. First, the screening antibody test was ELISA for ZIKA IgM and we did not undertake DENV IgM testing. We may have underestimated the true ZIKV seroprevalence because we only included ZIKV-positive sera from those that were positive by IgM and PRNT and without high titers of DENV antibodies. Some of the sera initially positive for ZIKV by PRNT and then judged as dengue infections because of high DENV titer may have been acute ZIKV infections but with high DENV background neutralizing antibodies due to historic DENV infections. Second, since we were not able to detect any ZIKV virus, we were unable to determine if any circulating ZIKV was from the African lineage or the Asian lineage that spread throughout the Americas and was associated with microcephaly. Third, we did not test systematically for anti-ZIKV IgG which would have indicated true seroprevalence in the cohort and the pre-existing immunity to ZIKV infection. However, the low yield from the ZIKV PRNT overall testing suggests that the background ZIKV seroprevalence is low. Fourth, our assessment of adverse neonatal outcomes was only conducted during delivery. Some of the malformations associated with congenital Zika syndrome become apparent during the months after delivery which our study could not establish because of a lack of infant follow-up. Finally, about one-third of the deliveries were not within the study facilities and we, therefore, could not assess some of the potential adverse outcomes among the newborns. In addition, almost two-thirds of the stillbirths were not examined for congenital abnormalities because the deliveries were not within the study facility, or the bodies were disposed of before the study staff could examine them.

Conclusions

The epidemiology and transmission of ZIKV in Africa remain unclear. However, we found no evidence of substantial ZIKV transmission in coastal Kenya, and most of the population of coastal Kenya, including pregnant women, are susceptible to infection. Our study highlights the need for enhanced surveillance of arboviral infections and congenital abnormalities in Kenya and throughout Africa. Understanding transmission, lineages of ZIKV, and vector presence and susceptibility is key to risk assessment and future prevention and control of outbreaks.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ANC:

Antenatal care

CDC:

US Centres for Disease Control and Prevention

DENV:

Dengue virus

ELISA:

Enzyme-linked immunosorbent assay

HC:

Head circumference

IgM:

Immunoglobulin M

IQR:

Interquartile range

PRNT:

Plaque reduction neutralization assay

rRT-PCR:

Real-time reverse transcription polymerase chain reaction

SD:

Standard deviation

SGA:

Small-for-gestational-age

sSA:

Sub-Saharan Africa

ZIKV:

Zika virus

References

  1. Sanchez Clemente N, Brickley EB, Paixão ES, De Almeida MF, Gazeta RE, Vedovello D, et al. Zika virus infection in pregnancy and adverse fetal outcomes in São Paulo State, Brazil: a prospective cohort study. Sci Rep. 2020;10:12673. https://doi.org/10.1038/s41598-020-69235-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. 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;49:729–36. https://doi.org/10.1002/uog.17404.

    Article  CAS  PubMed  Google Scholar 

  3. Counotte MJ, Egli-Gany D, Riesen M, Abraha M, Porgo TV, Wang J, et al. Zika virus infection as a cause of congenital brain abnormalities and Guillain-Barré syndrome: from systematic review to living systematic review. F1000Res. 2018;7:196. https://doi.org/10.12688/f1000research.13704.1.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Freitas DA, Souza-Santos R, Carvalho LMA, Barros WB, Neves LM, Brasil P, et al. Congenital Zika syndrome: a systematic review. PLoS ONE. 2020;15:e0242367–e0242367. https://doi.org/10.1371/journal.pone.0242367.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Costello A, Dua T, Duran P, Gülmezoglu M, Oladapo OT, Perea W, et al. Defining the syndrome associated with congenital Zika virus infection. Bull World Health Organ. 2016;94:406-406A. https://doi.org/10.2471/BLT.16.176990.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Romer Y, Valadez-Gonzalez N, Contreras-Capetillo S, Manrique-Saide P, Vazquez-Prokopec G, Pavia-Ruz N. Zika virus infection in pregnant women, Yucatan. Mexico Emerg Infect Dis. 2019;25:1452–60. https://doi.org/10.3201/eid2508.180915.

    Article  PubMed  Google Scholar 

  7. Brasil P, Pereira JP, 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;375:2321–34. https://doi.org/10.1056/NEJMoa1602412.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Hill SC, Vasconcelos J, Neto Z, Jandondo D, Zé-Zé L, Aguiar RS, et al. Emergence of the Asian lineage of Zika virus in Angola: an outbreak investigation. Lancet Infect Dis. 2019;19:1138–47. https://doi.org/10.1016/S1473-3099(19)30293-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Lourenço J, de Lourdes Monteiro M, Valdez T, Monteiro Rodrigues J, Pybus O, Rodrigues Faria N. Epidemiology of the Zika virus outbreak in the Cabo Verde Islands, West Africa. PLoS Curr. 2018;10. doi:https://doi.org/10.1371/currents.outbreaks.19433b1e4d007451c691f138e1e67e8c

  10. Weetman D, Kamgang B, Badolo A, Moyes CL, Shearer FM, Coulibaly M, et al. Aedes mosquitoes and Aedes-borne arboviruses in Africa: current and future threats. Int J Environ Res Public Health. 2018;15:220. https://doi.org/10.3390/ijerph15020220.

    Article  PubMed Central  Google Scholar 

  11. Zaganjor I, Sekkarie A, Tsang BL, Williams J, Razzaghi H, Mulinare J, et al. Describing the prevalence of neural tube defects worldwide: a systematic literature review. PLoS ONE. 2016;11:e0151586. https://doi.org/10.1371/journal.pone.0151586.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Chepkorir E, Tchouassi DP, Konongoi SL, Lutomiah J, Tigoi C, Irura Z, et al. Serological evidence of Flavivirus circulation in human populations in Northern Kenya: an assessment of disease risk 2016–2017. Virol J. 2019;16:65. https://doi.org/10.1186/s12985-019-1176-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Hunsperger E, Odhiambo D, Makio A, Alando M, Ochieng M, Omballa V, et al. Zika virus detection with 2013 serosurvey, Mombasa. Kenya Emerg Infect Dis J. 2020;26:1603. https://doi.org/10.3201/eid2607.191363.

    Article  CAS  Google Scholar 

  14. Rathore APS, St John AL. Cross-reactive immunity among flaviviruses. Front Immunol. 2020;11:334 Available: (https://www.frontiersin.org/article/10.3389/fimmu.2020.00334).

    Article  CAS  Google Scholar 

  15. Aubry F, Jacobs S, Darmuzey M, Lequime S, Delang L, Fontaine A, et al. Recent African strains of Zika virus display higher transmissibility and fetal pathogenicity than Asian strains. Nat Commun. 2021;12:916. https://doi.org/10.1038/s41467-021-21199-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Samy AM, Thomas SM, El WAA, Cohoon KP, Townsend PA. Mapping the global geographic potential of Zika virus spread. Mem Inst Oswaldo Cruz. 2016;111(9):559–60. https://doi.org/10.1590/0074-02760160149.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81. https://doi.org/10.1016/j.jbi.2008.08.010.

    Article  PubMed  Google Scholar 

  18. Villar J, Ismail LC, Victora CG, Ohuma EO, Bertino E, Altman DG, et al. International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet. 2014;384:857–68. https://doi.org/10.1016/S0140-6736(14)60932-6.

    Article  PubMed  Google Scholar 

  19. Centers for Disease Control and Prevention. Zika MAC-ELISA: instructions for use. Atlanta; 2018. Available: https://www.fda.gov/medical-devices/emergency-situations-medical-devices/emergency-use-authorizations-medical-devices#zika

  20. Roehrig JT, Hombach J, Barrett ADT. Guidelines for plaque-reduction neutralization testing of human antibodies to dengue viruses. Viral Immunol. 2008;21:123–32. https://doi.org/10.1089/vim.2008.0007.

    Article  CAS  PubMed  Google Scholar 

  21. Nguyen CT, Moi ML, Le TQM, Nguyen TTT, Vu TBH, Nguyen HT, et al. Prevalence of Zika virus neutralizing antibodies in healthy adults in Vietnam during and after the Zika virus epidemic season: a longitudinal population-based survey. BMC Infect Dis. 2020;20:332. https://doi.org/10.1186/s12879-020-05042-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. World Health Organization. Zika virus disease: interim case definition,12 February 2016. 2016. Available: http://www.who.int/csr/disease/zika/case-definition/en/.

    Google Scholar 

  23. Marchi S, Viviani S, Montomoli E, Tang Y, Boccuto A, Vicenti I, et al. Zika virus in West Africa: a seroepidemiological study between 2007 and 2012. Viruses. 2020;12:641. https://doi.org/10.3390/v12060641.

    Article  CAS  PubMed Central  Google Scholar 

  24. R Core Team. R Development Core Team. R: a language and environment for statistical computing. 2017. pp. 275–286. http://www.R-project.org

  25. Langat SK, Eyase FL, Berry IM, Nyunja A, Bulimo W, Owaka S, et al. Origin and evolution of dengue virus type 2 causing outbreaks in Kenya: evidence of circulation of two cosmopolitan genotype lineages. Virus Evol. 2020;6(1):veaa026. https://doi.org/10.1093/ve/veaa026.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Konongoi L, Ofula V, Nyunja A, Owaka S, Koka H, Makio A, et al. Detection of dengue virus serotypes 1, 2 and 3 in selected regions of Kenya: 2011–2014. Virol J. 2016;13:182. https://doi.org/10.1186/s12985-016-0641-0.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Barsosio HC, Gitonga JN, Karanja HK, Nyamwaya DK, Omuoyo DO, Kamau E, et al. Congenital microcephaly unrelated to flavivirus exposure in coastal Kenya. Wellcome open Res. 2019;4:179. https://doi.org/10.12688/wellcomeopenres.15568.1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Orioli IM, Dolk H, Lopez-Camelo JS, Mattos D, Poletta FA, Dutra MG, et al. Prevalence and clinical profile of microcephaly in South America pre-Zika, 2005–14: prevalence and case-control study. BMJ. 2017;359:j5018. https://doi.org/10.1136/bmj.j5018.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Morris JK, Rankin J, Garne E, Loane M, Greenlees R, Addor M-C, et al. Prevalence of microcephaly in Europe: population based study. BMJ. 2016;354:i4721. https://doi.org/10.1136/bmj.i4721.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Shen S, Xiao W, Zhang L, Lu J, Funk A, He J, et al. Prevalence of congenital microcephaly and its risk factors in an area at risk of Zika outbreaks. BMC Pregnancy Childbirth. 2021;21:214. https://doi.org/10.1186/s12884-021-03705-9.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Gobillot TA, Kikawa C, Lehman DA, Kinuthia J, Drake AL, Jaoko W, et al. Zika virus circulates at low levels in western and coastal Kenya. J Infect Dis. 2020;222:847–52. https://doi.org/10.1093/infdis/jiaa158.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kayiwa JT, Nankya AM, Ataliba IJ, Mossel EC, Crabtree MB, Lutwama JJ. Confirmation of Zika virus infection through hospital-based sentinel surveillance of acute febrile illness in Uganda, 2014–2017. J Gen Virol. 2018;99:1248–52. https://doi.org/10.1099/jgv.0.001113.

    Article  CAS  PubMed  Google Scholar 

  33. Duong V, Ong S, Leang R, Huy R, Ly S, Mounier U, et al. Low circulation of Zika virus, Cambodia, 2007–2016. Emerg Infect Dis. 2017;23:296–9. https://doi.org/10.3201/eid2302.161432.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Willcox AC, Collins MH, Jadi R, Keeler C, Parr JB, Mumba D, et al. Seroepidemiology of dengue, Zika, and yellow fever viruses among children in the Democratic Republic of the Congo. Am J Trop Med Hyg. 2018;99:756–63. https://doi.org/10.4269/ajtmh.18-0156.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Borchering RK, Huang AT, Mier-y-Teran-Romero L, Rojas DP, Rodriguez-Barraquer I, Katzelnick LC, et al. Impacts of Zika emergence in Latin America on endemic dengue transmission. Nat Commun. 2019;10:5730. https://doi.org/10.1038/s41467-019-13628-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Harris M, Caldwell JM, Mordecai EA. Climate drives spatial variation in Zika epidemics in Latin America. Proceedings Biol Sci. 2019;286:20191578. https://doi.org/10.1098/rspb.2019.1578.

    Article  Google Scholar 

  37. Aubry F, Dabo S, Manet C, Filipović I, Rose NH, Miot EF, et al. Enhanced Zika virus susceptibility of globally invasive Aedes aegypti populations. Science. 2020;370:991–6. https://doi.org/10.1126/science.abd3663.

    Article  CAS  PubMed  Google Scholar 

  38. Paixão ES, Teixeira MG, Costa M da CN, Barreto ML, Rodrigues LC. Symptomatic dengue during pregnancy and congenital neurologic malformations. Emerg Infect Dis. 2018;24:1748–50. https://doi.org/10.3201/eid2409.170361.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Marinho PS, Cunha AJ, Amim Junior J, Prata-Barbosa A. A review of selected Arboviruses during pregnancy. Matern Heal Neonatol Perinatol. 2017;3:17. https://doi.org/10.1186/s40748-017-0054-0.

    Article  Google Scholar 

  40. Kariyawasam S, Senanayake H. Dengue infections during pregnancy: case series from a tertiary care hospital in Sri Lanka. J Infect Dev Ctries. 2010;4:767–75. https://doi.org/10.3855/jidc.908.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the Ministry of Health, the County Government of Mombasa, Kenya Medical Research Institute, the hospital administration of Coast General, Port Reitz and Bomu hospitals, study staff, and the participants for their role and support in the implementation of the study.

Disclaimer

The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention or the Government of Kenya.

Funding

This work was funded with funds from the Centers for Disease Control and Prevention, Cooperative Agreement No. U01GH002143-01.

Author information

Authors and Affiliations

  1. Washington State University Global Health Kenya, One Padmore Place, George Padmore Road, Off Ngong Road, Nairobi, Kenya

    Eric Osoro, Harriet Mirieri & M. Kariuki Njenga

  2. Paul G. Allen School of Global Health, Washington State University, Pullman, USA

    Eric Osoro & M. Kariuki Njenga

  3. Department of Pediatrics and Child Health/Kenyatta National Hospital, University of Nairobi, Nairobi, Kenya

    Irene Inwani, Cyrus Mugo, Dalton Wamalwa, Ruth Nduati & Brian Maugo

  4. Division of Global Health Protection, Centers for Disease Control and Prevention, CDC Kenya, Nairobi, Kenya

    Elizabeth Hunsperger, Jennifer R. Verani, Peninah Munyua & Marc-Alain Widdowson

  5. Center for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya

    Victor Omballa & Nancy A. Otieno

  6. Division of Global Health Protection, CentersforDiseaseControlandPrevention, Atlanta, USA

    Chulwoo Rhee

  7. Research and Programs Department, Kenyatta National Hospital/University of Nairobi, Nairobi, Kenya

    John Kinuthia

  8. Coast General Hospital, Mombasa, Kenya

    Hafsa Jin

  9. Department of Obstetrics and Gynecology/Kenyatta National Hospital, University of Nairobi, Nairobi, Kenya

    Lydia Okutoyi

  10. Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya

    Dufton Mwaengo

  11. Port Reitz Hospital, Mombasa, Kenya

    Mufida Shabibi

  12. Institute of Tropical Medicine, Antwerp, Belgium

    Marc-Alain Widdowson

Authors
  1. Eric Osoro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Irene Inwani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cyrus Mugo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Elizabeth Hunsperger
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jennifer R. Verani
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Victor Omballa
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Dalton Wamalwa
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Chulwoo Rhee
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Ruth Nduati
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. John Kinuthia
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Hafsa Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Lydia Okutoyi
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Dufton Mwaengo
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Brian Maugo
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Nancy A. Otieno
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Harriet Mirieri
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Mufida Shabibi
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Peninah Munyua
    View author publications

    You can also search for this author in PubMed Google Scholar

  19. M. Kariuki Njenga
    View author publications

    You can also search for this author in PubMed Google Scholar

  20. Marc-Alain Widdowson
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization: EO, II, CM, EH, JV, DW, RN, JK, LO, DM, NO, KN, MAW. Formal analysis: EO, II, CM, KN, MAW. Funding acquisition: KN, MAW. Methodology: EO, II, CM, EH, JV, VO, DW, CR, RN, JK, HJ, LO, DM, BM, NO, MS, PM, KN, MAW. Project administration: EO, II, CM, HM, KN, MAW. Supervision: EO, II, EH, RN, HS, HM, MS, KN, MAW. Writing — original draft: EO, II, CM, KN, MAW. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Eric Osoro.

Ethics declarations

Ethics approval and consent to participate

This study was reviewed and approved by the Kenyatta National Hospital/University of Nairobi Ethical Review Committee [P71/102/2017], the Washington State University institutional review board [IRB No. 15897], and the US CDC institutional review board [# 7021]. All participants (those below 18 years were considered emancipated minors) provided informed consent before enrolment.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

 Table S1. Comparison of some characteristics between participants who completed follow-up and thoselost to follow-up.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Osoro, E., Inwani, I., Mugo, C. et al. Prevalence of microcephaly and Zika virus infection in a pregnancy cohort in Kenya, 2017–2019. BMC Med 20, 291 (2022). https://doi.org/10.1186/s12916-022-02498-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12916-022-02498-8

Keywords

  • Zika virus
  • Microcephaly
  • Pregnancy
  • Kenya

BMC Medicine

ISSN: 1741-7015

Contact us