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Transactions of the Royal Society of Tropical Medicine and Hygiene logoLink to Transactions of the Royal Society of Tropical Medicine and Hygiene
. 2021 Dec 2;116(6):509–522. doi: 10.1093/trstmh/trab180

Ebola virus disease in pregnancy: a systematic review and meta-analysis

Nzelle D Kayem 1,, Charlotte Benson 2, Christina Y L Aye 3,4, Sarah Barker 5, Mariana Tome 6, Stephen Kennedy 7, Proochista Ariana 8, Peter Horby 9,
PMCID: PMC9157681  PMID: 34865173

Abstract

This review synthesises and appraises evidence on the effects of Ebola virus disease (EVD) in pregnancy. We searched bibliographic databases from dates of inception to November 2020, yielding 28 included studies.

The absolute risk of maternal death associated with EVD was estimated at 67.8% (95% confidence interval [CI] 49.8 to 83.7, I2=85%, p<0.01) and the relative risk of death in pregnant women compared with non-pregnant women was estimated at 1.18 (95% CI 0.59 to 2.35, I2=31.0%, p=0.230). The absolute risk for foetal losses was estimated at 76.9% (95% CI 45.0 to 98.3, I2=96%, p<0.01) and neonatal death was 98.5% (95% CI 84.9 to 100, I2=0.0%, p=0.40). The gap analysis suggests limited or no data on the clinical course, non-fatal perinatal outcomes and EVD management in pregnant women. The review suggests that EVD has a high maternal and perinatal mortality, underscoring the urgent need for preventative and therapeutic solutions and improved screening and follow-up of pregnant women and newborns during outbreaks. There is not enough evidence to conclusively rule out pregnancy as a risk factor for mortality and there is limited evidence on the disease course, outcomes and management of EVD in pregnancy, and this supports the need for robust clinical trials and prospective studies that include pregnant women.

Keywords: case fatality rate, Ebola, maternal outcomes, perinatal outcomes

Introduction

Ebola virus disease (EVD) is caused by Ebola virus and was first reported in South Sudan and along the Ebola River in the Democratic Republic of Congo (DRC) in 1976.1 EVD occurs sporadically, with all known outbreaks originating in sub-Saharan African (SSA), where an estimated 22 million people in 22 West and Central African countries are at risk of infection.2 The reservoir host for Ebola virus is thought to be the fruit bat.1

EVD has an abrupt onset with an incubation period of 2–21 d.1 Clinical features range from non-specific symptoms to multisystem involvement with haemorrhagic manifestations and multiorgan failure. Disease outbreaks in humans have so far been due to three viral species: Zaire ebolavirus (EBOV), Bundibugyo ebolavirus (BDBV) and Sudan ebolavirus (SUDV).3

A meta-analysis evaluating EVD mortality in the general population estimated a pooled crude case fatality rate of 65.0% (95% confidence interval [CI] 54.0 to 76.0, I2=97.98%).4 Suggested reasons for the high amounts of study heterogeneity were study variability, differences in outbreaks and variability in outbreak responses.4 In the DRC, the estimated crude case fatality rate for confirmed and probable cases was 66% in the 2018–2020 Kivu/Ituri Ebola outbreak and 42.3% in the 2020 Équateur outbreak.5,6 The improvements seen in the Équateur outbreak were likely due to the availability of vaccines and drugs.7

The prognosis of EVD is thought to be very poor in pregnant women, with maternal case fatality rates ranging from 74 to 100% and an aggregated maternal mortality of 84.3% in one review,8 86% in another9,10 and 72% in a more recent review.11 Based on these reviews, foetal losses ranged from 23 to 100%9,10 and neonatal losses were frequent at 99.1–100%.9,10 While there are several reviews summarising evidence on EVD in pregnancy, the evidence is often aggregated or fails to account for differences in sample sizes and study variability. This is important because a quantitative synthesis that takes into account variability and samples size differences is likely to provide a more reliable summary estimate and specify areas of potential bias to facilitate further enquiry or formulation of hypotheses for future research.12

The goal of the review was to critically appraise and summarise evidence on the effects of EVD in pregnancy and to identify current gaps in the evidence reported in the peer-reviewed and grey literature. The review specifically appraises and synthesises evidence on the clinical characteristics, the maternal and perinatal outcomes of EVD during pregnancy and the clinical management of maternal Ebola virus infection.

Methods

The review was conducted based on the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines for conducting systematic reviews.13 The review was conducted as part of a broader review on the effects of the viral haemorrhagic fevers in pregnancy and the methods have previously been published.14

Search strategy and selection criteria

In summary, various bibliographic databases were searched in December 2017 and references from relevant reviews and included studies were also searched. There were no language restrictions (translation software was used where appropriate to facilitate screening and data extraction). Updated searches were conducted in June 2018, September 2019 and November 2020. Databases searched included PubMed, Web of Science, Excerpta Medica database (Embase), World Health Organization (WHO) Global Health Library (WHOGHL), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials, Cochrane Pregnancy and Childbirth Register, Cochrane Infectious Diseases Register, International Standard Randomised Controlled Trial Number (ISRCTN) Registry, WHO International Clinical Trials Registry platform, European Union (EU) Clinical Trials Register, Pan African Clinical Trials Registry and ClinicalTrials.gov. A combination of MeSH terms and keywords were used to capture pregnancy outcomes, clinical features and management of EVD in pregnancy from both published and grey literature (see Supplementary Table 1). The review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) of the University of York and the National Institute for Health Research, under protocol CRD42018097022.

Data extraction

Citations were screened using Rayyan, an online systematic review program.15 Screening of titles and abstracts, assessment of full text for eligibility and risk of bias assessment were performed independently by two of the reviewers (NDK, CB, CA, MT or SB). Each article was preassigned randomly to any two of these reviewers and any discrepancies were resolved through discussion or with another (third) reviewer.14

Studies were included if they presented data on EVD in pregnancy. All study designs, as well as original reports, briefs, letters, editorials and comments, were considered for inclusion. Exposure was defined by clinical or laboratory criteria. Outcomes were broadly classified as clinical characteristics, maternal and perinatal outcomes and management practices. Outcomes were not predefined and definitions were extracted where available, from each citation. Data were extracted from eligible studies and odds ratios (ORs) or proportions were estimated depending on the available information.14 Meta-analyses were performed if two or more studies reported on the same outcome and included at least five pregnant women or live births.14 This was a pragmatic decision given that the disease is rare and we are evaluating pregnant women, who are a population that is often excluded from clinical trials or research.16 Gestational ages were inconsistently reported. As such, all foetal deaths occurring before or during labour and delivery, including miscarriages, intrauterine foetal death and stillbirths, were labelled as foetal loss. Maternal death was defined as death of the pregnant woman during pregnancy, labour and delivery or within 1 month after delivery. Neonatal death was defined as death of a newborn within 1 month of birth.

Statistical analyses

All statistical analyses were done using R version 4.0.2 (R Foundation for Statistical Computing, Vienna, Austria).17 The metaprop command was used for the proportional meta-analysis and the metabin command was used to summarise the effect estimate for ORs because they implement procedures specific to binary outcome data. The weighted summary proportion was calculated using the Freeman–Tukey double arcsine transformation.18–20 A random effects model was used and Cochran's Q, τ2 and Higgins I2 were calculated. The degree of heterogeneity was interpreted as none (I2<25%), low (I2=25–49%), moderate (I2=50–74%) or high (I2≥75%).21

Sensitivity analysis and meta-regression

Post hoc sensitivity analyses were performed where possible, dropping studies with 0% or 100% proportions and studies with <10 pregnant women to assess if excluding studies with smaller sample sizes and with extreme proportions results in a statistically significant difference in summary estimates.14 Where I2 was >50%, meta-regressions were conducted to evaluate reasons for the observed heterogeneity. The explanatory variables evaluated were study design (cohort vs non-cohort), year in which outbreak occurred (before 2000 vs after 2000), sample size (<10 vs ≥10)14 and country.

Publication bias

Peter's test was used in combination with funnel plots to assess for publication biases.22 Funnel plots were derived using a mixed effects model with sample size as the predictor and the double arcsine transformed proportion.14

Risk of bias assessment

Risk of bias assessment was based on Murad et al.’s23 quality tool for case reports and case series studies, while the Newcastle–Ottawa scale was used for all cohort-type studies.24 Although aggregated scores are provided, the risk of bias was colour-coded to allow for a better interpretation of the study quality by readers, given that an aggregated score fails to highlight where specific weaknesses in the reported study design are found.25

Gap analysis

Research gaps were identified using Robinson et al.’s framework,26 which allows not only for identification of gaps, but the reasons for the gaps. Gaps are classified under four categories: insufficient or imprecise information, biased information, inconsistency or unknown consistency and not the right information. Given that EVD is a rare disease and the selected population (pregnant women) is rarely included in clinical research,16 and given that a meta-analysis will not be possible for all outcomes, we modified the framework such that evidence on meta-analyses were analysed separately. As such, where Robinson et al.26 discuss gaps based on four categories, we had five categories: separating the options for insufficient and imprecise information into two distinct categories, for each objective we presumed certain outcomes and, as such, we assessed the evidence or lack thereof based on these objectives (detailed in a previous manuscript14).

Results

A search of the databases yielded a total of 3651 records that were screened. A total of 264 full texts were evaluated for eligibility and 68 met the inclusion criteria (Figure 1). Twenty-eight of these were on EVD in pregnancy,27–54 and the characteristics of included studies are summarised in Table 1.

Figure 1.

Figure 1.

PRISMA flow diagram of selected studies. n: number of papers; CCHF: Crimean–Congo haemorrhagic fever; MVD: Marburg virus disease; RVF: Rift Valley fever.

Table 1.

Characteristics of studies reporting EVD in pregnancy

Author, year, country Enrolment period Study design Cases—definition Controls—definition Number of pregnant women with EVD Ebola virus strain, status of cases and diagnostic tests used Gestational age estimation methods Methods used to correct for confounding
Akerlund et al., 2015, Liberia NS Case report An asymptomatic pregnant woman who tested positive for EBOV NA 1 Zaire
Confirmed
PCR
NS NA
Arias et al., 2016, Sierra Leone June 2015 Case series Cluster of EVD cases NA 1 Zaire
Confirmed
PCR
NS NA
Baggi et al., 2014, Guinea June 2014 Prospective case series Confirmed EVD in pregnant patients who presented to ETU NA 2 Zaire
Confirmed
PCR
NS NA
Baize et al., 2014, Guinea 28 February 2014–20 March 2014 Retrospective case series Ebola-positive patients hospitalized in Gueckedou Macenta and Kissidougou NA 1 Zaire
Confirmed
PCR
NS NA
Baraka et al., 2019, DRC NS Case report Neonate born to mother diagnosed with EVD NA 1 Zaire
Confirmed
PCR
Self-report NA
Bower et al., 2016, Sierra Leone NS Retrospective case report PCR-negative but IgM/IgG-positive pregnant patient who delivered a PCR-positive stillborn infant NA 1 Zaire
Confirmed
PCR, ELISA IgM and IgG
NS NA
Bwaka et al., 1999, DRC 14 April–21 June 1995 Prospective case series Patients with clinical case definition for EVD and/or ELISA Ag or IgM positive NA 3 Zaire
Clinical case definition
ELISA Ag and IgM
NS NA
Caluwaerts, 2015a, Guinea, Sierra Leone and Liberia NS Retrospective case series Pregnant women with EVD who survived NA 33 Zaire
Confirmed
PCR
NS NA
Caluwaerts et al., 2016a, Guinea, Sierra Leone and Liberia 9 September 2014–17 April 2015 Retrospective case series Pregnant cases of EVD with a negative blood test after clinical cure but positive amniotic fluid NA 2 Zaire
Confirmed
PCR
NS NA
Caluwaerts S. et al. 2018
Guinea, Liberia, Sierra Leone
23 March 2014–23 October 2015 Retrospective cohort EVD-positive pregnant patients EVD-positive non-pregnant women of reproductive age 77 Zaire
Confirmed
PCR
Fundal height NS
Chertow et al., 2014, Liberia 23 August 2014–4 October 2014 Retrospective cohort Patients with suspected EVD in the largest ETU in Monrovia, Liberia NS 4 Zaire
Confirmed and probable
PCR
NS NS
Dornemann et al., 2017, Guinea NS Case report Pregnant woman diagnosed with EVD who delivered a live baby NA 1 Zaire
Confirmed
PCR
Self-report, estimated at birth NA
Dunn et al., 2016, Sierra Leone October 2014 Case series Cluster of cases from maternal index case NA 1 Zaire
Confirmed
PCR
NS NA
Francesconi et al., 2003, Uganda 12 September 2000–29 October 2000 Retrospective cross-sectional Confirmed and probable EVD cases Apparently healthy contacts of the case patients 1 Sudan
Confirmed and probable
ELISA Ag and IgG
NS Multivariable logistic regression
Henwood et al., 2017, Liberia and Sierra Leone 15 September 2014–15 September 2015 Retrospective cohort Pregnant women of reproductive age suspected of EVD Non-pregnant women of reproductive age suspected of EVD 13 Zaire
Confirmed
PCR
Self-report, LNMP Multivariable logistic regression
Khan et al., 1999, DRC 6 January 1995–16 July 1995 Mixed cohort Clinically diagnosed or confirmed cases of EVD including the index case for the epidemic NS 8 Zaire
Confirmed, suspected and probable
ELISA IgM and IgG
NS NS
Lyman et al., 2018b, Sierra Leone 29 June 2014–20 December 2014 Mixed cohort EVD-positive pregnant women presenting to ETU EVD-negative and pregnant women presenting to ETU 67 Zaire
Confirmed
PCR
Self-report, case notes Logistic regression
Mpofu et al., 2019b, Sierra Leone 29 June 2014–20 December 2014 Mixed cohort EVD-positive pregnant women who presented to ETU with clinical case definition of EVD EVD-negative pregnant women presenting with clinical case definition to ETU 55 Zaire
Confirmed
PCR, ELISA IgM and IgG
Self-report, case notes Logistic regression
Muehlenbachs et al., 2016, Uganda and DRC 2000–2012 Retrospective case series EVD-positive pregnant women NA 2 Bundibugyo and Sudan
Confirmed
PCR, ELISA Ag and/or IgM
Self-report, estimated at birth NA
Mupapa et al., 1999, DRC April 1995–June 1995 Retrospective cohort Pregnant women with EHF based on case definition NS 15 Zaire
Clinical case definition
LNMP, clinical examination NS
Oduyebo et al., 2015, Sierra Leone September 2014 Retrospective case report EVD pregnant woman NA 1 Zaire
Confirmed
PCR
Self-report NA
Okoror et al., 2018, Sierra Leone NS Case report Pregnant woman presenting to ETU with no foetal movements NA 1 Zaire
Confirmed
PCR
Self-report NA
Palvin et al., 2020, Sierra Leone November 2014–May 2015 Retrospective case series Asymptomatic pregnant women with EVD admitted to ETU NA 6 Zaire
Confirmed
PCR, ELISA IgM and IgG
Self-report NA
Schieffelin et al., 2014, Sierra Leone 25 May–18 June 2014 Cohort Patients who had an illness that met the definition for suspected Lassa fever or EVD NS 1 Zaire
Confirmed
PCR
NS NS
van Griensven et al., 2016, Guinea 17 February 2015–3 August 2018 Mixed NRCT EVD-positive women who received matched convalescent plasma EVD-positive women admitted and treated with supportive care in the 5 months preceding the trial (historical controls) 8 Zaire
Confirmed and probable
PCR
NS Logistic regression
Wamala et al., 2010, Uganda 1 August 2007–20 February 2008 Retrospective cohort EVD confirmed or probable cases EVD laboratory negative 1 Bundibugyo
Confirmed, suspected and probable
PCR, ELISA Ag, IgM and IgG
NS Multivariable logistic regression
Williams et al., 2015, Liberia June 2014 Case series Cluster of EVD cases NA 1 Zaire
Confirmed
PCR
NS NA
WHO, 1978, DRC 1 September 1976–24 October 1976 Retrospective cohort 318 cases of EVD NS 82 Zaire
Confirmed
IFA
NS NS

Ag: antigen; EHF: Ebola haemorrhagic fever; ELISA: enzyme-linked immunosorbent assay; ETU: Ebola treatment unit; IFA: immunofluorescence assay; IgM: immunoglobulin M; IgG: immunoglobulin G; LNMP: Last Normal Menstrual Period; NA: not applicable; NS: not stated; NRCT: non-randomized controlled trial.

a

These studies were excluded from the meta-analysis because of possible risk of duplication with another included study.

b

These studies include the same group of pregnant women, however, one reports on clinical characteristics while the other reports on pregnancy outcomes.

A total of 354 pregnant women with EVD were included in the studies. The ages of 113 pregnant women were reported and ranged from 13 to 40 y.29–31,37,39–44,46,47,50,51 Gestational ages were inconsistently reported in 111 pregnant women and ranged from the first trimester to term (≥37 weeks).31,36,39,41,43–47,53,54 Most articles (15/23) reported on EVD pregnant women from West Africa, specifically Sierra Leone, Liberia and Guinea (Table 1).

Clinical characteristics and course of maternal Ebola virus infection

The clinical features of EVD in pregnancy were non-specific and recorded in 101 pregnant women in 15 studies.27,29,31,32,36,37,39,42–45,47,51 Four studies satisfied the criteria for inclusion into a meta-analysis.39,42,44,47 Clinical features are summarised in Table 2.

Table 2.

Clinical characteristics of pregnant women with Ebola virus disease

Clinical features n N Percentage Weighted summary percentage (95% CI)]
Fever 79 100 79.0 86.1 (62.5 to 99.6), I2=77%
Asthenia 76 101 75.2 87.4 (67.1 to 99.4), I2=72%
Abdominal pain 68 100 68.0 80.3 (49.8 to 99.1), I2=84%
Headache 59 99 59.6 77.3 (42.9 to 99.0), I2=87%
Nausea and vomiting 54 99 54.5 55.8 (21.1 to 87.8), I2=87%
Myalgia and arthralgia 53 100 53.0 65.8 (20.8 to 98.6), I2=92%
Diarrhoea 52 100 52.0 63.9 (18.1 to 98.4), I2=93%
Anorexia 39 100 39.0 64.0 (10.2 to 100), I2=95%
Vaginal bleeding 36 99 36.4 44.9 (2.4 to 92.5), I2=94%
Disordered level of consciousness 25 99 25.3 ND
Sore throat 24 99 24.2 42.4 (0 to 98.3), I2=97%
Bleeding otherwise unspecified 24 99 24.2 26.1 (11.9 to 43.0), I2=49%
Chest pain 20 100 20.0 14.8 (0.4 to 40.0), I2=80%
Hiccups 17 99 17.2 35.4 (0.0 to 100), I2=98%
Conjunctivitis 15 99 15.2 ND
Apathy 14 99 14.1 ND
Seizures 7 99 7.1 ND
Back pain 7 99 7.1 ND
Cough 5 100 5.0 ND
Rash 2 99 2.0 ND
Jaundice 1 84 1.2 ND

The table summarises the clinical features of pregnant women with EVD in order of decreasing frequency.

ND: not done because only one study satisfied the meta-analysis criteria; n: number of pregnant women who presented with the symptom; N: total number of pregnant women in the analysis.

The clinical course of infection during pregnancy was not described and most of the information was obtained from case reports or series. The length of hospital stay (evaluated as the time from admission to either discharge or death) was reported in 32 pregnant women in 12 studies and ranged from 0 to 32 d.27,29,31,36,37,39,43,45–48,50,54 The time from illness onset to admission was 1–7 d in 19 pregnant women from five studies29,36,39,43,45 and the time from illness onset to treatment was 3–7 d recorded in four pregnant women in three studies.29,36,45

Maternal outcomes of Ebola virus infection

The most-reported outcome in EVD-positive pregnant women was maternal death, with a weighted summary proportion of 67.8% (95% CI 49.8 to 83.7, I2=85%, p<0.01; Figure 2). The gestational age at which maternal death occurred was specified in 15 women and ranged from 14 weeks to term (≥37 weeks), with most deaths (9/15 [60.0%]) occurring in the third trimester.36,39,44,47

Figure 2.

Figure 2.

Proportional meta-analysis forest plot of studies reporting maternal death for EVD in pregnancy. p: p-value associated with Cochran's Q for heterogeneity; events: number of maternal deaths; total: total number of pregnant women included in the analysis.

Three studies provided sufficient information to estimate the odds of death in pregnant women compared with non-pregnant women.34,39,44 The pooled OR was 1.18 (95% CI 0.59 to 2.35, I2=31.0%, p=0.230; Figure 3).

Figure 3.

Figure 3.

Forest plot showing the risk of death from EVD in pregnant women compared with non-pregnant women. p: p-value associated with Cochran's Q for heterogeneity; events: number of deaths in the group of interest; total: total number of pregnant or non-pregnant women included in the analysis.

Obstetric haemorrhage was reported in five studies,29,36,41,44,47 three of which were included in a meta-analysis, resulting in an estimated absolute risk of obstetric haemorrhage in maternal EVD of 29.7% (95% CI 19.8 to 40.4, I2=0.0%, p=0.58; Figure 4).

Figure 4.

Figure 4.

Proportional meta-analysis of studies reporting obstetric haemorrhage in Ebola-infected pregnant women. p: p-value associated with Cochran's Q for heterogeneity; events: number of women with obstetric haemorrhage; total: total number of pregnant women included in the analysis.

Perinatal outcomes of maternal Ebola virus infection

Perinatal outcome measures were not defined in the included studies, and most studies did not report gestational age at which the outcomes occurred. The weighted summary estimate for foetal loss was 76.9% (95% CI 45.0 to 98.3, I2=96%, p<0.01; Figure 5).

Figure 5.

Figure 5.

Proportional meta-analysis of studies reporting foetal loss from EVD in pregnancy. p: p-value associated with Cochran's Q for heterogeneity; events: number of foetal losses; total: total number of pregnant women included in the analysis.

Prematurity was reported in six pregnant women in five studies,29,36,39,44,50 resulting in a pooled estimate of 10.4% (95% CI 0.9 to 25.6, I2=0.0%, p=0.49; Figure 6), with a mean gestational age of 31.2 weeks reported in five pregnant women.29,36,39,44

Figure 6.

Figure 6.

Proportional meta-analysis of studies reporting prematurity from Ebola virus disease in pregnancy. p: p-value associated with Cochran's Q for heterogeneity; events: number of preterm births; total: total number of pregnant women included in the analysis.

As of November 2020, only two neonates had been reported as survivors of maternal EVD.31,36,41 One of these neonates was diagnosed with EVD,36 but the other reportedly had a negative polymerase chain reaction (PCR) result.31 The weighted summary proportion for neonatal death was 98.5% (95% CI 84.9 to 100, I2=0.0%, p=0.40; Figure 7), with a median age at death of 9 d (range 0–19).28,34,37–39,43,44,47,52

Figure 7.

Figure 7.

Proportional meta-analysis of studies reporting neonatal death from EVD. p: p-value associated with Cochran's Q for heterogeneity; events: number of neonatal deaths; total: total number of live births included in the analysis.

Clinical features of Ebola-infected neonates were reported in 14 neonates in four studies36,43,44,52 and included fever (10/14),36,43,44,52 respiratory failure (1/14),43 coma (1/14),43 bleeding (1/14)43 and seizures (1/14).36 Vertical transmission of Ebola was evaluated in 24 neonates,29,31,32,36,37,43,45–47,53,54 with infection confirmed in 23 neonates29,32,36,37,43,45–47,53,54 via PCR from cord blood, foetal swabs, meconium, amniotic fluid or placental swabs. There were no reports of other complications in the reviewed literature.

Clinical management practices for maternal Ebola virus infection

Most of the included studies did not report the use of antivirals, immunosuppressive therapy or immune modulators for the management of EVD in pregnant women. Favipiravir was used in a single case report,36 while convalescent plasma (CP) was used in the non-randomised trial.49 Of the eight pregnant patients who received CP, six of them survived. None of the studies assessed the efficacy or effectiveness of antivirals or other therapeutics in pregnant women with EVD.

Obstetric management of pregnant EVD women was not described in most studies. Termination of pregnancy was offered in two studies,39,54 but only one woman agreed to termination, which occurred at 7 weeks of gestation.39 Induced delivery, reported in six studies,32,39,45–47,54 generally occurred as a result of foetal demise and not necessarily due to Ebola infection. Dilatation and curettage was performed in three pregnant women44 due to incomplete abortion, but only one of these women survived.

Neonatal management was described in one neonate and included monoclonal antibodies (ZMapp),36 antivirals (GS-5734)36 and admission to the neonatal intensive care unit (NICU).36

Sensitivity analysis and meta-regression

A post hoc sensitivity analysis dropping studies with 0% and 100% proportions and studies with <10 pregnant women did not have a substantial impact on the estimates for foetal loss and maternal death, which became 73.5% (95% CI 34.0 to 99.0, I2=97%, p<0.01) and 75.3% (95% CI 55.8 to 90.7, I2=89%, p<0.01), respectively. Sensitivity analysis was not performed for other outcomes because only one study qualified.

A meta-regression evaluating the combined effect of the sample size, the year in which the outbreak occurred, country and study design on the pooled estimates for maternal death suggests that these variables accounted for the observed heterogeneity (R2=100%, p<0.001), with most of the heterogeneity being as a result of the country (75.4%). Interestingly, for foetal loss these variables did not significantly account for the heterogeneity observed (p=0.629). Other potential confounders such as viral strain were included in the review, but all studies in the meta-regression model investigated viruses of the Zaire ebolavirus strain, and there were no data on subtypes, so further analysis could not be performed.

Given the developments in therapeutics and vaccines for EVD, we performed a subgroup analysis accounting for the year in which the outbreak occurred, considering only studies with >10 pregnant women. We found that the weighted summary of maternal death due to EVD prior to 2000 was 90.4% (95% CI 83.2 to 95.9, I2=0.0%, p=0.78), while after the year 2000 the estimate for maternal case fatality was 64.8% (95% CI 35.4 to 89.4, I2=91%, p<0.01). Foetal case fatality was 59.4% (95% CI 0.4 to 100, I2=97%, p<0.01) before the year 2000 and 83.5% (95% CI 57.6 to 99.0, I2=90.0%, p<0.01) after the year 2000.

Publication bias for EVD

Funnel plots showed some asymmetry (Supplementary Figure 1), however, Peter's test showed no evidence of publication bias (p>0.1). The p-value for maternal case fatality proportion was 0.485, for maternal OR for pregnant women compared with non-pregnant women it was 0.727, for the foetal case fatality proportion it was 0.569 and for clinical features the p-value ranged from 0.362 to 0.941.

Risk of bias assessment for EVD

The overall risk of bias among the included case reports and case series studies was low, while the risk of bias in cohort-type studies was moderate or good in 5 of the 11 cohort-type studies. The risk of bias scores are summarised in Figure 8.

Figure 8.

Figure 8.

Risk of bias assessment of studies included in the systematic review and meta-analysis on EVD in pregnancy. For cohort type studies green indicates the study received a star () for the indicated or criteria while red denotes the study didnot receive any star for that criteria on the Newcastle-Ottawa scale; for case series or case reports: green, yes; red, no; yellow, unclear/unsure; black, not applicable. GA: gestational age.

Gap analysis for EVD

A formal analysis of potential research gaps in the grey and peer-reviewed literature suggests that, particularly for non-fatal perinatal outcomes, as well as the clinical course of EVD in pregnant women and newborns and for management of EVD in pregnancy, data are limited or non-existent (Table 3).

Table 3.

Results of the research gap analysis for EVD in pregnancy

Gap criteria Outcome Justification
A Other maternal complications of EVD Most data on maternal complications of EVD were on mortality. There were limited or no data on other maternal complications of EVD
A Other perinatal complications of EVD Small sample sizes and few studies in the meta-analysis for prematurity. Most studies on vertical transmission were case reports or case series studies and other perinatal complications such as birth defects or low birthweight were almost never investigated
A Definition of outcomes In almost all studies outcomes were not defined
A Trimester of pregnancy and gestational age estimation methods Gestational ages and the methods used to estimate gestational ages were rarely reported and when recorded are subjective and often do not indicate the gestational ages at which different outcomes occurred
A Co-infections and comorbidities There was little or no information on comorbidities and co-infections and their effects on the clinical course of disease in pregnant women
A Management of neonates with EVD Management is described in one neonate with confirmed EVD
A Management of pregnant mother with EVD Insufficient data to evaluate the efficacy of different therapeutics for management of maternal EVD
B Foetal losses due to EVD Meta-analysis shows wide CIs with high heterogeneity and insufficient data to assess other potential confounders
B Neonatal deaths due to EVD Small sample sizes and very few studies included in meta-analysis; importantly, there is a need for evidence on mechanisms by which neonatal infection occurs
B Clinical features of EVD in pregnancy Meta-analysis done for most clinical features; however, the estimates have high heterogeneity with wide CIs. There were very few studies included in the meta-analysis and some studies included had a moderate to high risk of methodological bias
B Maternal mortality—absolute risk Meta-analysis showed wide CIs with high heterogeneity and some of the studies included had a moderate to high risk of methodological bias
C Maternal mortality—relative risk Estimate was precise with narrow CIs and a low heterogeneity, however, studies included had a moderate to high risk of bias
D Clinical course of infection in pregnant women The clinical course of EVD in pregnancy was rarely reported and most of the studies were case reports or case series studies
D Clinical features and complications in newborns Clinical features of neonates born to mothers with EVD were described in four studies, but most of these were case reports and case series studies

The gap analysis evaluates gaps in the literature based on expected outcomes of the review. The table summarises the gaps identified and provides a justification for each.

A: no data or insufficient information; B: meta-analysis conducted, but there were few studies in the meta-analysis, studies included have small sample sizes or the meta-analysis is associated with high heterogeneity and/or wide or extremely wide CIs. C: some of the studies included in the meta-analysis have a low-quality rating (i.e. a moderate or high risk of methodological bias); D: most of the studies discussing a specific outcome are case report or case series studies.

While meta-analyses were conducted for most of the outcomes identified in the literature, many of these estimates were imprecise, with large between-study heterogeneity, with some outcomes only discussed in case reports or case series studies. Additionally, when the estimates were precise, the sample sizes were small, and most of the cohort-type studies had a moderate to high risk of bias, which limits the strength of the available evidence.

Gestational ages were mostly self-reported and the gestational ages at which different outcomes occurred were rarely reported, as such evaluating outcomes by the trimester of pregnancy was not possible for most outcomes. Evidence synthesis was further limited by a lack of outcome definitions.

Discussion

This review shows that while EVD is associated with a high maternal mortality rate (67.8%), the relative risk of mortality among pregnant women was not significantly different from that in non-pregnant women (OR 1.18 [95% CI 0.59 to 2.35], I2=31.0%, p=0.230); however, given that there are few studies in the meta-analysis and a single low-quality study34 accounted for the highest weighting in the meta-analysis, the evidence is inconclusive. When compared with previous studies, the estimates for maternal mortality were not significantly different. Foeller et al.,11 in a review published in July 2020, estimated an aggregated absolute risk of 72% and suggested that the mortality in pregnant women was not higher than that in non-pregnant women. A subgroup analysis accounting for the year in which the outbreak occurred showed that the absolute risk of maternal mortality was lower after 2000 (64.8%) compared with before 2000 (>90%) and may reflect the changes in public health preparedness. Interestingly, there was a large amount of heterogeneity in studies conducted after 2000, and this heterogeneity could perhaps be explained by differences in national responses, given that our meta-regression analysis suggests that the country in which patients were found accounted for most of the observed heterogeneity. This finding is similar to a recent review by Kawuki et al.55 that found the country was a possible explanatory factor for variability in EVD outcomes and underscores the need for sharing of lessons learned both within and between countries.

The absolute risk of foetal loss was high, at 76.9%, and consistent with previous reports.9,10 The subgroup analysis showed that unlike maternal case fatality, foetal losses after the year 2000 (83.5%) were much higher than before the year 2000 (59.4%). This may be due to improved reporting, and this finding may have been clarified by a comparison with data from the 2018–2020 DRC outbreaks, but three attempts to get unpublished data on pregnancy outcomes from that outbreak were unsuccessful. The absolute risk of neonatal deaths was high, at 98.5%, and the estimate seems precise, with low heterogeneity (95% CI 84.9 to 100, I2=0.0%, p=0.40), which supports the consensus that EVD almost always results in neonatal death.9,10 However, this meta-analysis had only three studies with an overall small size; as such, the estimate for neonatal death is not conclusive.

The high maternal and perinatal mortality seen among EVD patients supports the urgent need for preventative and therapeutic solutions, and improved screening, care and follow-up of pregnant women and newborns during outbreaks, both within and outside the treatment units, to ensure early identification and management of pregnant women and their newborns.

A lot of progress has been made in the last 6 y following the West African Ebola epidemic.7 Nonetheless, the review shows that there are still major gaps in the epidemiology of EVD in pregnancy, particularly with respect to non-fatal perinatal outcomes, the clinical course and the management of EVD in pregnancy. This underscores the need for well-conducted prospective cohort studies and clinical trials with pregnant women as a ‘subgroup of interest’.14 Given the sporadic nature of Ebola outbreaks, these gaps will be best addressed during future epidemics and would benefit from pre-epidemic preparedness for clinical research with pre-prepared protocols,56 improved capacity for conducting clinical research in outbreaks in at-risk countries and the inclusion of pregnant women in clinical research. Additionally, improved data quality through either harmonised databases or core datasets and outcome sets for Ebola in pregnancy will improve the evidence base for EVD.57,58

A common limitation across all meta-analyses performed was that they all had <10 studies, and for most outcomes the summary estimates were associated with large amounts of heterogeneity. A random effects model was used and a meta-regression and sensitivity analysis were performed to explain the heterogeneity. However, the meta-regression analyses need to be interpreted with caution, given that we have <10 studies in each meta-analysis. The reason for this is that small sample sizes (<10 studies) tend to decrease the statistical power of the meta-regression analysis. Similarly, the tests for publication bias need to be interpreted with caution given that our meta-analysis had very few studies.

Conclusions

Maternal deaths and foetal losses in EVD are high, with almost all births to EVD pregnant women culminating in death. This evidence underscores the urgent need for preventative and therapeutic solutions, enhanced screening to identify pregnant women during outbreaks and improved care and follow-up of pregnant women and their newborns in the event of outbreaks. There is not enough evidence to conclusively rule out pregnancy as a risk factor for mortality in EVD patients, and given the paucity of evidence in pregnancy, it supports the need for robust clinical trials and prospective studies with pregnant women as a subgroup of interest.

Supplementary Material

trab180_Supplemental_File

Acknowledgements

We are grateful to Nia Roberts for her advice on alternate search terms for the different databases. We would like to thank Dr Kasia Stepniewska for providing us with references to relevant literature on proportional meta-analysis. NDK was funded as a UK Commonwealth PhD Scholar by the UK Department for International Development. This work forms part of NDK's PhD thesis titled ‘Viral haemorrhagic fevers in pregnancy with a focus on Lassa fever’.59

Contributor Information

Nzelle D Kayem, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK.

Charlotte Benson, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals, Oxford OX3 9DU, UK.

Christina Y L Aye, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals, Oxford OX3 9DU, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX3 9DU, UK.

Sarah Barker, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals, Oxford OX3 9DU, UK.

Mariana Tome, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX3 9DU, UK.

Stephen Kennedy, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX3 9DU, UK.

Proochista Ariana, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK.

Peter Horby, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK.

Authors’ contributions

NDK, SK, PA and PH designed the study. NDK was responsible for the search strategy, the literature search and the statistical analysis. NDK, CB, CA, SB and MT assessed article titles, abstracts and full texts and the risk of bias assessment. NDK wrote the first version of the manuscript and all the authors reviewed and approved the final version. All authors had full access to the data in the study and had final responsibility for the decision to submit for publication.

Funding

None.

Competing interests

None declared.

Ethical approval

Not required.

Data availability

All data generated or analysed during this study are included in this published article [and its supplementary files].

References

  • 1. World Health Organization . Ebola virus disease. Available from: http://www.who.int/en/news-room/fact-sheets/detail/ebola-virus-disease [accessed 30 May 2018].
  • 2. Pigott DM, Golding N, Mylne Aet al. Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014;3:e04395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Feldmann H, Geisbert TW. Ebola haemorrhagic fever. Lancet. 2011;377(9768):849–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Nyakarahuka L, Kankya C, Krontveit Ret al. How severe and prevalent are Ebola and Marburg viruses? A systematic review and meta-analysis of the case fatality rates and seroprevalence. BMC Infect Dis. 2016;16:708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. World Health Organization Regional Office for Africa . Ebola virus disease: Democratic Republic of Congo – external situation report. Brazaville, Congo: World Health Emergencies Programme; 2020. [Google Scholar]
  • 6. World Health Organization Regional Office for Africa . Weekly bulletin on outbreaks and other emergencies. Brazaville, Congo: World Health Organization; 2020. [Google Scholar]
  • 7. World Health Organization . Ebola virus disease – Democratic Republic of the Congo (disease outbreak news – update) . Available from: https://www.who.int/csr/don/28-february-2019-ebola-drc/en/ [accessed 28 February 2019].
  • 8. Garba I, Dattijo L, Habib A. Ebola virus disease and pregnancy outcome: a review of the literature. Trop J Obstet Gynaecol. 2017;34(1):6–10. [Google Scholar]
  • 9. Bebell LM, Riley LE. Ebola virus disease and Marburg disease in pregnancy: a review and management considerations for filovirus infection. Obstet Gynecol. 2015;125(6):1293–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Bebell LM, Oduyebo T, Riley LE. Ebola virus disease and pregnancy: a review of the current knowledge of Ebola virus pathogenesis, maternal, and neonatal outcomes. Birth Defects Res. 2017;109(5):353–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Foeller ME, Carvalho Ribeiro do Valle C, Foeller TMet al. Pregnancy and breastfeeding in the context of Ebola: a systematic review. Lancet Infect Dis. 2020;20(7):e149–58. [DOI] [PubMed] [Google Scholar]
  • 12. Haidich AB. Meta-analysis in medical research. Hippokratia. 2010;14(Suppl 1):29–37. [PMC free article] [PubMed] [Google Scholar]
  • 13. Moher D, Shamseer L, Clarke Met al. Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1. [DOI] [PMC free article] [PubMed]
  • 14. Kayem ND, Benson C, Aye CYLet al. Lassa fever in pregnancy: a systematic review and meta-analysis. Trans R Soc Trop Med Hyg. 2020;114(5):385–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Ouzzani M, Hammady H, Fedorowicz Zet al. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Gomes MF, de la Fuente-Núñez V, Saxena Aet al. Protected to death: systematic exclusion of pregnant women from Ebola virus disease trials. Reprod Health. 2017;14(Suppl 3):172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. R CoreTeam . R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2020. [Google Scholar]
  • 18. Wang N. How to conduct a meta-analysis of proportions in R: a comprehensive tutorial. New York: John Jay College for Criminal Justice; 2018. [Google Scholar]
  • 19. Freeman MF, Tukey JW. Transformations related to the angular and the square root. Ann Math Stat. 1950;21(4):607–11. [Google Scholar]
  • 20. Miller JJ. The inverse of the Freeman–Tukey double arcsine transformation. Am Stat. 1978;32(4):138. [Google Scholar]
  • 21. Higgins JPT, Green S (eds). Cochrane handbook for systematic reviews of interventions, version 5.1.0. London: Cochran Collaboration; 2011. [Google Scholar]
  • 22. Peters JL, Sutton AJ, Jones DRet al. Comparison of two methods to detect publication bias in meta-analysis. JAMA. 2006;295(6):676–80. [DOI] [PubMed] [Google Scholar]
  • 23. Murad MH, Sultan S, Haffar Set al. Methodological quality and synthesis of case series and case reports. BMJ Evid Based Med. 2018;23(2):60–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Wells G, Shea B, O'Connell Det al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa: Ottawa Hospital Research Institute; 2009. Available from: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp [accessed 20 December 2017]. [Google Scholar]
  • 25. Viswanathan M, Ansari MT, Berkman NDet al. Assessing the risk of bias of individual studies in systematic reviews of health care interventions. In: Methods guide for effectiveness and comparative effectiveness reviews. Rockville, MD: Agency for Healthcare Research and Quality; 2012. [PubMed]
  • 26. Robinson KA, Saldanha IJ, McKoy NA. Development of a framework to identify research gaps from systematic reviews. J Clin Epidemiol. 2011;64(12):1325–30. [DOI] [PubMed] [Google Scholar]
  • 27. Akerlund E, Prescott J, Tampellini L. Shedding of Ebola virus in an asymptomatic pregnant woman. N Engl J Med. 2015;372(25):2467–9. [DOI] [PubMed] [Google Scholar]
  • 28. Arias A, Watson SJ, Asogun Det al. Rapid outbreak sequencing of Ebola virus in Sierra Leone identifies transmission chains linked to sporadic cases. Virus Evol. 2016;2(1):vew016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Baggi FM, Taybi A, Kurth Aet al. Management of pregnant women infected with Ebola virus in a treatment centre in Guinea, June 2014. Euro Surveill. 2014;19(49):20983. [DOI] [PubMed] [Google Scholar]
  • 30. Baize S, Pannetier D, Oestereich Let al. Emergence of Zaire Ebola virus disease in Guinea. N Engl J Med. 2014;371(15):1418–25. [DOI] [PubMed] [Google Scholar]
  • 31. Baraka NK, Mumbere M, Ndombe E. One month follow up of a neonate born to a mother who survived Ebola virus disease during pregnancy: a case report in the Democratic Republic of Congo. BMC Pediatr. 2019;19:202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Bower H, Grass JE, Veltus Eet al. Delivery of an Ebola virus-positive stillborn infant in a rural community health center, Sierra Leone, 2015. Am J Trop Med Hyg. 2016;94(2):417–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Bwaka MA, Bonnet M-J, Calain Pet al. Ebola hemorrhagic fever in Kikwit, Democratic Republic of the Congo: clinical observations in 103 patients. J Infect Dis. 1999;179(Suppl 1):S1–7. [DOI] [PubMed] [Google Scholar]
  • 34. Caluwaerts S, Van Herp M, Cuesta JGet al. Pregnancy and Ebola: survival outcomes for pregnant women admitted to MSF Ebola treatment centres in the West Africa outbreak. F1000Research. 2018;7:945. [Google Scholar]
  • 35. Chertow DS, Kleine C, Edwards JKet al. Ebola virus disease – clinical manifestations and management. N Engl J Med. 2014;371(22):2054–7. [DOI] [PubMed] [Google Scholar]
  • 36. Dornemann J, Burzio C, Ronsse Aet al. First newborn baby to receive experimental therapies survives Ebola virus disease. J Infect Dis. 2017;215(2):171–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Dunn AC, Walker TA, Redd Jet al. Nosocomial transmission of Ebola virus disease on pediatric and maternity wards: Bombali and Tonkolili, Sierra Leone, 2014. Am J Infect Control. 2016;44(3):269–72. [DOI] [PubMed] [Google Scholar]
  • 38. Francesconi P, Yoti Z, Declich Set al. Ebola hemorrhagic fever transmission and risk factors of contacts, Uganda. Emerg Infect Dis. 2003;9(11):1430–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Henwood PC, Bebell LM, Roshania Ret al. Ebola virus disease and pregnancy: a retrospective cohort study of patients managed at 5 Ebola treatment units in West Africa. Clin Infect Dis. 2017;65(2):292–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Khan AS, Tshioko FK, Heymann DLet al. The reemergence of Ebola hemorrhagic fever, Democratic Republic of the Congo, 1995. Commission de Lutte contre les Epidemies a Kikwit. J Infect Dis. 1999;179(Suppl 1):S76–86. [DOI] [PubMed] [Google Scholar]
  • 41. Lyman M, Johnson Mpofu J, Soud Fet al. Maternal and perinatal outcomes in pregnant women with suspected Ebola virus disease in Sierra Leone, 2014. Int J Gynaecol Obstet. 2018;142(1):71–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Mpofu JJ, Soud F, Lyman Met al. Clinical presentation of pregnant women in isolation units for Ebola virus disease in Sierra Leone, 2014. Int J Gynaecol Obstet. 2019;145(1):76–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Muehlenbachs A, de la Rosa Vazquez O, Bausch DGet al. Ebola virus disease in pregnancy: clinical, histopathologic, and immunohistochemical findings. J Infect Dis. 2016;215(1):64–9. [DOI] [PubMed] [Google Scholar]
  • 44. Mupapa K, Mukundu W, Bwaka MAet al. Ebola hemorrhagic fever and pregnancy. J Infect Dis. 1999;179(Suppl 1):S11–2. [DOI] [PubMed] [Google Scholar]
  • 45. Oduyebo T, Pineda D, Lamin Met al. A Pregnant patient with Ebola virus disease. Obstet Gynecol. 2015;126(6):1273–5. [DOI] [PubMed] [Google Scholar]
  • 46. Okoror L, Kamara A, Kargbo Bet al. Transplacental transmission: a rare case of Ebola virus transmission. Infect Dis Rep. 2018;10(3):7725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Pavlin BI, Hall A, Hajek Jet al. Atypical clinical presentation of Ebola virus disease in pregnancy: implications for clinical and public health management. Int J Infect Dis. 2020;97:167–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Schieffelin JS, Shaffer JG, Goba Aet al. Clinical illness and outcomes in patients with Ebola in Sierra Leone. N Engl J Med. 2014;371(22):2092–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. van Griensven J, Edwards T, de Lamballerie Xet al. Evaluation of convalescent plasma for Ebola virus disease in Guinea. N Engl J Med. 2016;374(1):33–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Wamala JF, Lukwago L, Malimbo Met al. Ebola hemorrhagic fever associated with novel virus strain, Uganda, 2007–2008. Emerg Infect Dis. 2010;16(7):1087–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Williams GS, Naiene J, Gayflor Jet al. Twenty-one days of isolation: a prospective observational cohort study of an Ebola-exposed hot zone community in Liberia. J Infect. 2015;71(2):150–7. [DOI] [PubMed] [Google Scholar]
  • 52. World Health Organization . Ebola haemorrhagic fever in Zaire, 1976. Bull World Health Org. 1978;56(2):271–93. [PMC free article] [PubMed] [Google Scholar]
  • 53. Caluwaerts S. Clinical management and patient care: obstetrics in Ebola settings. Presented at the 21st FIGO World Congress of Gynecology and Obstetrics, Vancouver, BC, Canada, 2015. [Google Scholar]
  • 54. Caluwaerts S, Fautsch T, Lagrou Det al. Dilemmas in managing pregnant women with Ebola: 2 case reports. Clin Infect Dis. 2016;62(7):903–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Kawuki J, Musa TH, Yu X. Impact of recurrent outbreaks of Ebola virus disease in Africa: a meta-analysis of case fatality rates. Public Health. 2021;195:89–97. [DOI] [PubMed] [Google Scholar]
  • 56. Schopper D, Dawson A, Upshur Ret al. Innovations in research ethics governance in humanitarian settings. BMC Med Ethics. 2015;16:10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Rojek AM, Moran J, Horby PW. Core minimal datasets to advance clinical research for priority epidemic diseases. Clin Infect Dis. 2020;70(4):696–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Kayem ND, Longuere KS, Martelli CMTet al. Harmonisation of research data for congenital Zika syndrome: need for core data sets for epidemic-prone infectious diseases. Int J Infect Dis. 2019;79(Suppl 1):37.30292891 [Google Scholar]
  • 59. Kayem ND. Viral haemorrhagic fevers in pregnancy with a focus on Lassa fever. Oxford, UK: Nuffield Department of Clinical Medicine, University of Oxford; 2021. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

trab180_Supplemental_File

Data Availability Statement

All data generated or analysed during this study are included in this published article [and its supplementary files].


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