Abstract
Background: The COVID-19 pandemic has disproportionately affected pregnant individuals, increasing risks of severe illness and adverse outcomes. While vaccination is a key mitigation strategy, initial exclusion from clinical trials led to limited safety data. Despite evidence of vaccine effectiveness, hesitancy persists in this population.
Objective and Sources: This meta-analysis aims to evaluate the efficacy and impact of COVID-19 vaccination in pregnant individuals, synthesizing evidence from 82 studies (3,676,654 participants) retrieved from PubMed, Embase, Cochrane Library, and Scopus (2019–2024). Study quality was assessed using the Newcastle–Ottawa scale (80/82 scored ≥ 7).
Key Findings: Vaccination reduced maternal SARS-CoV-2 infection risk by 48% (odds ratio [OR] = 0.52), with mRNA vaccines showing higher efficacy (52% vs. 43% for inactivated). Maternal hospitalization risk decreased by 42% (OR = 0.58), and severe outcomes by 50% (OR = 0.50). Furthermore, neonatal outcomes improved, including reduced infection (OR = 0.69), preterm birth (OR = 0.87), stillbirth (OR = 0.64), and neonatal death (OR = 0.47). Protection against neonatal death was stronger in individuals without prior infection (OR = 0.43). Third-trimester vaccination may offer better protection against preterm birth.
Conclusion: Overall, COVID-19 vaccination during pregnancy effectively mitigates infection and adverse maternal/neonatal outcomes, supporting its clinical recommendation.
Keywords: COVID-19 vaccination, neonatal health, obstetric outcomes, pregnancy, vaccine efficacy, vaccine safety
1. Introduction
The emergence of the COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has presented unprecedented challenges to global public health (https://coronavirus.jhu.edu/map.html). Pregnant individuals, as one of the most vulnerable populations, face increased risks of severe illness and adverse pregnancy outcomes due to COVID-19 [1–6].
Vaccination has been recognized as a critical tool in controlling the spread of COVID-19 and reducing the severity of the disease [7–9] (https://www.gov.uk/government/publications/prioritising-the-first-covid-19-vaccine-dose-jcvi-statement/optimising-the-covid-19-vaccination-programme-for-maximum-short-term-impact) Although the inclusion of pregnant individuals in first clinical trials has historically been limited, resulting in a relative lack of initial data on the effects of COVID-19 vaccines in this population, regulatory agencies and health organizations, including the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC), have recommended the vaccination of pregnant individuals based on the benefits observed in the general population and preliminary safety data (https://covid19.who.int/) (https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/pregnant-people.html) (https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020) (https://www.cdc.gov/respiratory-viruses/risk-factors/pregnant-people.html).
Many previous studies have been conducted to demonstrate the effectiveness of COVID-19 vaccines [7, 10–13]. However, skepticism and reluctance remain among a significant portion of pregnant individuals [14–18]. Therefore, a comprehensive study that combines evidence from a longer pandemic period and a larger population is essential, alongside proper guidance and science communication efforts.
The objective of this meta-analysis is to systematically evaluate the existing evidence on the impact and efficacy of COVID-19 vaccination in pregnant individuals. By synthesizing data from January 1, 2019, to October 20, 2024, and stratifying data into multiple subgroups, this analysis aims to provide both a comprehensive overview and a precise interpretation of each outcome associated with COVID-19 vaccination during pregnancy. This includes assessing the incidence of adverse obstetric events and the effectiveness in preventing COVID-19-related morbidity and mortality in both mothers and their infants. Through this meta-analysis, we seek to provide updated, robust evidence to the public. As the benefits of vaccines and vaccine safety continue to influence decision-making among pregnant and lactating individuals, this meta-analysis served as a complement for both professional institutions and individuals. It may help clarify how exactly vaccination affects them, enhance vaccine acceptance, and offer guidance for those who still consider vaccination to protect themselves and their babies, especially as new COVID-19 variants continue to impact people's lives. Additionally, the results may serve as a clue for the protection of pregnant individuals in future pandemic.
2. Methods
This systematic review and meta‐analysis followed a prospectively registered protocol and was reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Review and Meta‐Analyses) guidelines (Figure 1).
Figure 1.

PRISMA flow diagram documenting study identification, screening, and analysis. PRISMA, preferred reporting items for systematic reviews and meta-analyses.
2.1. Search Strategy
We systematically searched for studies on pregnant individuals vaccinated against COVID-19 up to October 20, 2024, in the following databases: PubMed, Embase, Cochrane, and Scopus (Table S1). Additionally, the reference lists of relevant studies were reviewed to identify further studies. The language of the included studies was limited to English.
2.2. Outcomes and Definitions
Outcomes were categorized into maternal outcomes, neonatal outcomes, and obstetric outcomes. Within each category, outcomes were listed in order of progression:
• Maternal outcomes included maternal infection (confirmed COVID-19 infection), hospitalization, and severe outcomes (such as respiratory failure, septic shock, multiple organ failure, ICU admissions, or death).
• Neonatal outcomes encompassed neonatal infection, hospitalization, neonatal/pediatric intensive care unit (NICU/PICU) admissions, and neonatal death.
• Obstetric outcomes included preterm birth (subdivided into spontaneous preterm birth, iatrogenic preterm birth, and very preterm birth < 34 weeks), preterm premature rupture of membranes (PPROM), placental abnormalities (such as placental abruption, placenta previa, velamentous placenta), and placental pathology (including chorioamnionitis, fetal vascular malperfusion, and maternal vascular malperfusion [MVM]). Other obstetric outcomes included postpartum hemorrhage, abortion, intrauterine fetal death, and stillbirth.
Additionally, data on obstetric outcomes were stratified by vaccine type (mRNA, inactivated, and adenovirus vaccines), prior infection status, dosing regimen (including booster doses), virus variants, and vaccination timing (first, second, and third trimester) for further analysis.
• Severe/critical maternal outcomes were defined as respiratory failure, septic shock, multiple organ failure, maternal ICU admissions, or death.
“Mothers with No Prior Infection” was defined as those without documented or confirmed COVID-19 infection during the corresponding period of observation and follow-up.
2.3. Data Extraction
A structured data extraction form was used, and data were extracted by multiple reviewers. A minimum of three researchers independently extracted the data and assessed study quality. The data extraction sheet of the search was shared, and all data extracted were cross-checked for discrepancies or missing information and sent for final check by two reviewers. The following study design characteristics were extracted: the first author's name, study setting, time of publication, country of origin, study period, and study design. The documented characteristics of the patients were the total number of patients included, patients included with confirmed COVID-19 vaccination, vaccination types, age of patients in years, and outcomes including maternal infection, maternal hospitalization, critical maternal outcomes (respiratory failure, septic shock, multiple organ failure maternal ICU admissions, or death), neonatal infection, hospitalization, NICU/PICU admissions, preterm birth (< 37 weeks' gestation) and very preterm birth (< 34 weeks' gestation), PPROM, placental morphology abnormalities, placental size abnormalities, placental position abnormalities, placental pathology (chorioamnionitis, fetal vascular malperfusion, and MVM), postpartum hemorrhage, abortion, intrauterine fetal death, stillbirth, and neonatal death.
2.4. Study Quality Assessment
The quality of included cohort and case‐control studies was assessed using the Newcastle–Ottawa Scale (NOS), with scores of 0–3, 4–6, and 7–9 considered low, moderate, and high quality, respectively [1]. We mainly included studies with scores of 7–9, which were considered high quality, and only two studies scored 6 as an exception. More details can be found in the Supporting Information (Tables S1 and S2).
2.5. Data Synthesis
As we anticipated considerable between-study heterogeneity, we conducted a random-effects meta-analysis using R statistical computing software (v.4.3.3). All analyses were performed using the DerSimonianLaird estimator, which is widely used in meta-analysis for estimating between-study heterogeneity. This method was chosen due to its general applicability and simplicity, particularly in scenarios with a moderate number of studies and when assuming a random effects model. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were generated for dichotomous outcomes.
The degree of between-study heterogeneity that could not be ascribed to sampling error was evaluated using Chi‐square test and quantified by the I2 statistic, and was interpreted as low (I2: < 25%), low to moderate (I2: 25%–50%), moderate to substantial (I2: 50%–75%), or substantial (I2: > 75%). Potential publication bias was assessed using Egger's test and funnel plots for visual inspection when a sufficient number of studies (N > 10) were available. Prespecified subgroup analyses were conducted based on prior infection status, type of vaccine, dosing regimen, timing of vaccination, and other factors for results with significant heterogeneity (I2 > 50%). To assess the leverage of individual studies on the overall estimates, sensitivity analyses were also performed by removing one study at a time. Statistical significance was set at p < 0.05 based on two‐sided tests.
3. Results
3.1. Search Result and Characteristics of Included Studies
Out of the 4641 abstracts screened, 146 studies were selected for full-text review. A total of 82 studies were included, consisting of 72 cohort studies [19–40], [41–60], [61–75], [76–90] and 10 case–control studies [36, 91–99], with 4 studies [36, 60, 95, 98] employing both case–control and cohort designs. These studies involved a total of 3,676,654 participants. In the cohort studies, all control groups consisted of unvaccinated pregnant individuals, while in the case–control studies, data for unvaccinated individuals were extracted from different group classifications. The studies were published between 2021 and 2024, and data were collected from a wide range of countries, including the USA, Canada, UK, China, Israel, South Korea, Thailand, Singapore, India, Iran, Turkey, Scotland, Sweden, Norway, Germany, Australia, Mexico, and Qatar. The included vaccines were mRNA, viral vector, and inactivated virus vaccines, which provide a comprehensive perspective on their overall impact. Further details on vaccine types and dosing regimens are summarized in the characteristics table (Table 1).
Table 1.
Characteristics of all included study.
| Study | Design | Country | Group | Maternal age (year) | Vaccine types | Study period | Outcome measures | NOS |
|---|---|---|---|---|---|---|---|---|
| Guedalia et al. (2022) | Cohort | Israel | V: 77,053 UV: 38,909 |
NA | Pfizer-BioNTech | 2021.08.01–2022.03.22 | Maternal hospitalization | 9 |
|
| ||||||||
| Butt et al. (2021) | Cohort | Qatar | V: 103 UV: 1117 |
NA | mRNA vaccine | 2020.12.20–2021.05.30 | Maternal infection | 9 |
|
| ||||||||
| Butt et al. (2021) (2) | Test-negative, case–control | Qatar | V: 407 UV: 407 |
NA | mRNA vaccine | 2020.12.20–2021.05.30 | Maternal infection | 9 |
|
| ||||||||
| Dick et al. (2022) | Retrospective cohort | Israel | V: 3139 UV: 3368 |
V: 30 ± 4 UV: 30 ± 4 |
mRNA vaccine | 2021.07–2021.10 | Postpartum hemorrhage, intrauterine fetal death, preterm birth | 9 |
|
| ||||||||
| Dick et al. (2022) (2) | Cohort | Israel | V: 2293 UV: 3313 |
V: 30 ± 4 UV: 30 ± 4 |
mRNA vaccine | 2020.12–2021.07 | Postpartum hemorrhage, intrauterine fetal death, preterm birth | 8 |
|
| ||||||||
| Jarraya et al. (2023) | Prospective observational | Tunisia | V: 45 UV: 100 |
V: 31.64 ± 3.4 UV: 30.61 ± 2.9 |
Pfizer-BioNTech | 2021.01–2022.05 | Preterm birth, postpartum hemorrhage, stillbirth, neonatal/infant infection, maternal ICU admission/death, severe or critical maternal COVID-19 | 8 |
|
| ||||||||
| Nguanboonmak et al. (2023) | Retrospective cohort | Thailand | V: 99 UV: 417 |
NA | Lacking detailed information | 2021.09–2022.04 | NICU, postpartum hemorrhage, placental previa, chorioamnionitis, preterm birth | 9 |
|
| ||||||||
| Calvert et al. (2022) | Population-based matched cohort | UK | V: 18,780 UV: 18,780 |
V: 31 ± 18.5 UV: 31 ± 20 |
Moderna, Pfizer-BioNTech, adenovirus vaccine | 2015.01.01–2021.09.28 | Spontaneous abortion | 9 |
|
| ||||||||
| Yang et al. (2023) | Prospective observational cohort | China | V: 60 UV: 60 |
V: 31.12 ± 4.47 UV: 28.88 ± 4.29 |
Sinovac Biotech, Sinopharm Biotech | 2021.01.01–2021.12.31 | Postpartum hemorrhage, NICU, preterm birth | 7 |
|
| ||||||||
| Condon et al. (2023) | Retrospective | USA | V: 502 UV: 12,767 |
NA | Moderna, Pfizer-BioNTech, adenovirus vaccine | 2020.03.28–2022.01.25 | Intrauterine fetal death | 8 |
|
| ||||||||
| Corsi Decenti et al. (2023) | Prospective cohort | Italy | V: 1069 UV: 989 |
NA | mRNA vaccine | 2022.1.1–2022.5.31 | Maternal infection | 8 |
|
| ||||||||
| Fell et al. (2022) (2) | Retrospective cohort | Canada | V: 42,992 UV: 41,879 |
V: 32.9 ± 4.4 UV: 31.3 ± 5.3 |
Moderna, Pfizer-BioNTech, adenovirus vaccine | 2021.05.01–2021.12.31 | Maternal infection, preterm birth | 8 |
|
| ||||||||
| Fell et al. (2022) | Population-based retrospective cohort | Canada | V: 22,660 UV: 30,115 |
V: 32.8 ± 4.3 UV: 31.0 ± 5.5 |
Moderna, Pfizer-BioNTech | 2020.12.14–2021.09.30 | Maternal infection, NICU, postpartum hemorrhage, chorioamnionitis | 8 |
|
| ||||||||
| Danino et al. (2023) | Retrospective, multicenter, case–control, test-negative | Israel | V: 202 UV: 262 |
NA | Pfizer-BioNTech | 2021.3.1–2021.11.31 | Neonatal/infant hospitalization | 8 |
|
| ||||||||
| Gwak et al. (2023) | Cohort | Korea | V: 5284 UV: 21,136 |
NA | Moderna, Pfizer-BioNTech, adenovirus vaccine | 2021.01.01–2021.12.31 | Spontaneous abortion, maternal infection, maternal hospitalization | 9 |
|
| ||||||||
| Ibroci et al. (2023) | Prospective cohort | USA | V: 250 UV: 1544 |
NA | mRNA vaccine, adenovirus vaccine | 2020.04–2022.02 | Spontaneous abortion, intrauterine fetal death, NICU, preterm birth | 8 |
|
| ||||||||
| McClymont et al. (2023) | Prospective (but some was retrospective) | Canada | V: 2868 UV: 1660 |
NA | Moderna, Pfizer-BioNTech, adenovirus vaccine | 2021.07–2022.06.10 | Spontaneous abortion, stillbirth, neonatal death, maternal infection, NICU, preterm birth | 9 |
|
| ||||||||
| Carlsen et al. (2022) | Register-based cohort | Norway | V: 9739 UV: 11,904 |
V: 31.2 ± 2.95 UV: 30.2 ± 3.35 |
mRNA vaccine | 2021.09.01–2022.02.28 | Neonatal/infant infection, neonatal/infant hospitalization, preterm birth | 9 |
|
| ||||||||
| Kharbanda et al. (2021) | Case–control | USA | V: 21,267 UV: 264,104 |
NA | Moderna, Pfizer-BioNTech, adenovirus vaccine | 2020.12.15–2021.06.28 | Spontaneous abortion | 8 |
|
| ||||||||
| Ozer et al. (2023) | Retrospective cohort | Turkey | V: 18 UV: 20 |
V: 29.7 ± 3.7 UV: 29.5 ± 5.0 |
Pfizer-BioNTech | 2021.09–2021.11 | Placental pathology | 7 |
|
| ||||||||
| Paixao et al. (2022) | Test-negative case–control | Brazil | V: 2033 UV: 17,805 |
NA | Sinovac Biotech | 2021.03.15–2021.10.03 | Maternal infection | 9 |
|
| ||||||||
| Shanes et al. (2021) | Prospective | USA | V: 84 UV: 116 |
V: 33.7 ± 3.1 UV: 32.5 ± 4.8 |
Lacking detailed information | 2020.04–2021.04 | Fetal vascular malperfusion | 7 |
|
| ||||||||
| Tripathy et al. (2023) | Retrospective cohort | India | V: 127 UV: 154 |
V: 28.24 ± 4.1 UV: 28.12 ± 4.6 |
Covaxin, adenovirus vaccine | 2021.10–2021.12.31 | Intrauterine fetal death, PPROM premature rupture of membranes/placental abruption, NICU, preterm birth | 8 |
|
| ||||||||
| Vazquez-Benitez et al. (2023) | Case–control | USA | V: 15,108 UV: 90,338 |
NA | Moderna, Pfizer-BioNTech, adenovirus vaccine | 2020.12.15–2021.06.28 | Spontaneous abortion | 8 |
|
| ||||||||
| Blakeway et al. (2022) | Retrospective cohort | UK | V: 133 UV: 399 |
V: 35 ± 2.6 UV: 33 ± 3 |
Moderna, Pfizer-BioNTech, adenovirus vaccine | 2020.03.01–2021.07.04 | Postpartum hemorrhage, stillbirth, PROM (premature rapture of membranes), suspected chorioamnionitis, maternal infection, NICU, maternal hospitalization | 8 |
|
| ||||||||
| Kim et al. (2023) | Retrospective cohort | Korea | V: 39 UV: 185 |
NA | Lacking detailed information | 2020.11.01–2022.03.07 | Maternal ICU admission/death, preterm birth | 6 |
|
| ||||||||
| Lipkind et al. (2022) | Retrospective cohort | USA | V: 10,064 UV: 36,015 |
V: 32.3 ± 4.5 UV: 29.8 ± 5.3 |
Moderna, Pfizer-BioNTech, adenovirus vaccine | 2020.05.17–2021.07.31 | Maternal infection, preterm birth | 8 |
|
| ||||||||
| Süt et al. (2023) | Prospective cohort | Turkey | V: 236 UV: 55 |
V: 29.5 ± 5.0 UV: 27.5 ± 4.7 |
Sinovac Biotech, Pfizer-BioNTech | 2022.01–2022.04 | Maternal infection | 7 |
|
| ||||||||
| Goldshtein et al. (2021) | Retrospective cohort | Israel | V: 7530 UV: 7530 |
V: 31.1 ± 5.01 UV: 31.0 ± 4.85 |
Pfizer-BioNTech | 2020.12.19–2021.02.28 | Spontaneous abortion, stillbirth, maternal infection, maternal hospitalization, preterm birth | 7 |
|
| ||||||||
| Teng et al. (2023) | Retrospective-prospective cohort | China | V: 241 UV: 241 |
NA | Inactivated vaccine | 2021.05–2021.11 | Spontaneous abortion, Intrauterine fetal death, PPROM premature rupture of membranes/placental abruption, placental previa, NICU, preterm birth | 7 |
|
| ||||||||
| Chen et al. (2023) | Cohort | China | V: 369 UV: 487 |
V: 31.50 ± 4.26 UV: 31.49 ± 4.27 |
Sinovac Biotech, Sinopharm Biotech | 2022.03.01–2022.06.30 | Neonatal death, mixed placenta, NICU, preterm birth | 9 |
|
| ||||||||
| Zhao et al. (2023) | Cohort | China | V: 2668 UV: 2789 |
NA | Inactivated vaccine | Unknown-2022.07.15 | Preterm birth | 9 |
|
| ||||||||
| Ma et al. (2023) | Prospective cohort | China | V: 165 UV: 717 |
NA | Sinovac Biotech, Sinopharm Biotech | 2021.07.01–2022.05.30 | Spontaneous abortion, stillbirth, preterm birth | 7 |
|
| ||||||||
| Wainstock et al. (2021) | Retrospective cohort | Israel | V: 913 UV: 3486 |
V: 30.6 ± 5.3 UV: 28.2 ± 5.7 |
mRNA vaccine | 2021.01–2021.06 | Postpartum hemorrhage, PROM | 9 |
|
| ||||||||
| Du et al. (2023) | Retrospective cohort | China | V: 389 UV: 2269 |
V: 30.85 UV: 27.9 |
Inactivated vaccine | 2021.01–2021.10 | Postpartum hemorrhage, spontaneous abortion, stillbirth, neonatal death, preterm birth | 9 |
|
| ||||||||
| Piekos et al. (2023) | Retrospective cohort | USA | V: 35,926 UV: 16,771 |
NA | mRNA vaccine | 2021.01.26–2022.10.26 | Stillbirth, preterm birth | 9 |
|
| ||||||||
| Jorgensen et al. (2023) | Population-based retrospective cohort | Canada | V: 85,670 UV: 56,336 |
V: 32.3 ± 4.5 UV: 30.8 ± 5.3 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, Mixed doses | 2021.05.01–2022.09.02 | Neonatal death, maternal infection, NICU, preterm birth | 8 |
|
| ||||||||
| Raanan Meyer et al. (2023) | Retrospective cohort | Israel | V: 2071 UV: 1030 |
NA | mRNA vaccine | 2021.02.09–2021.06.02 | Maternal infection | 9 |
|
| ||||||||
| Peretz-Machluf et al. (2022) | Retrospective cohort | Israel | V: 3240 UV: 460 |
V: 32.51 ± 5.07 UV: 31.99 ± 5.51 |
Pfizer-BioNTech BNT162b2 | 2021.03–2021.07 | PPROM premature rupture of membranes/placental abruption, NICU, preterm birth | 9 |
|
| ||||||||
| Theiler et al. (2021) | Retrospective cohort | USA | V: 140 UV: 1862 |
V: 31.8 ± 3.7 UV: 30.5 ± 5.2 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, adenovirus vaccine | 2020.12.10–2021.04.19 | Maternal infection, NICU, maternal hospitalization, postpartum hemorrhage, neonatal death, preterm birth | 7 |
|
| ||||||||
| Boelig et al. (2022) | Retrospective cohort | USA | V: 49 UV: 198 |
V: 34.1 ± 4.5 UV: 30.8 ± 5.5 |
mRNA vaccine | 2021.03–2021.07 | Maternal vascular hypoperfusion, preterm birth | 7 |
|
| ||||||||
| Zerbo et al. (2023) | Retrospective cohort | USA | V: 16,242 UV: 41,446 |
NA | mRNA vaccine | 2020.12.15–2022.09.30 | Maternal hospitalization | 9 |
|
| ||||||||
| Zerbo et al. (2023) (2) | Case–control | USA | V: 10,893 UV: 19,418 |
V: 32.59 ± 4.30 UV: 31.08 ± 4.77 |
mRNA vaccine | 2020.12.15–2022.05.31 | Maternal hospitalization | 9 |
|
| ||||||||
| Goh et al. (2023) | Retrospective cohort | Singapore | V: 7120 UV: 172 |
NA | mRNA vaccine | 2022.01.01–2022.09.30 | Neonatal/infant infection | 8 |
|
| ||||||||
| Kugelman et al. (2023) | Retrospective cohort | Israel | V: 930 UV: 964 |
V: 32 ± 3 UV: 31 ± 3.5 |
Pfizer-BioNTech BNT162b2 | 2021.02.01–2021.07.31 | Intrauterine fetal death, NICU, preterm birth | 8 |
|
| ||||||||
| Dagan et al. (2021) | Observational cohort | Israel | V: 10,861 UV: 10,861 |
V: 30 ± 3.5 UV: 30 ± 3.5 |
Pfizer-BioNTech BNT162b2 | 2020.12.20–2021.06.03 | Maternal infection, maternal hospitalization, severe or critical maternal COVID-19 | 9 |
|
| ||||||||
| Changizi et al. (2023) | Retrospective cohort | Iran | V: 19,922 UV: 70,147 |
V: 28.6 UV: 28.6 |
Sinopharm Biotech, adenovirus vaccine | 2021.09.01–2022.01.30 | Stillbirth, neonatal death, maternal hospitalization, maternal ICU admission/death | 7 |
|
| ||||||||
| Halasa et al. (2022) | Test-negative case–control | USA | V: 234 UV: 815 |
NA | mRNA vaccine | 2021.07.01–2022.03.08 | Neonatal death, NICU, neonatal/infant hospitalization, preterm birth | 8 |
|
| ||||||||
| Minghui et al. (2023) | Prospective cohort | China | V: 93 UV: 160 |
V: 31.65 ± 4.36 UV: 31.98 ± 4.01 |
Inactivated vaccine | 2021.03.01–2022.02.02 | Postpartum hemorrhage, PPROM premature rupture of membranes/placental abruption, preterm birth | 6 |
|
| ||||||||
| Zare Sakhvidi et al. (2023) | Retrospective cohort | Iran | V: 720 UV: 502 |
V: 29.3 ± 5.9 UV: NA |
Inactivated vaccine | 2021.08.01–2022.01.01 | Preterm birth | 8 |
|
| ||||||||
| Rottenstreich et al. (2023) | Multicenter retrospective cohort | Israel | V: 1094 UV: 863 |
V: 28.9 ± 5.7 UV: 28.4 ± 6.2 |
mRNA vaccine | 2021.08–2021.11 | Postpartum hemorrhage, intrauterine fetal death, chorioamnionitis, maternal ICU admission/death | 9 |
|
| ||||||||
| Rottenstreich et al. (2022) | Retrospective cohort | Israel | V: 712 UV: 1063 |
V: 30.6 ± 5.8 UV: 31.98 ± 4.01 |
mRNA vaccine | 2021.01.19–2021.04.27 | NICU, postpartum hemorrhage, intrauterine fetal death | 9 |
|
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| Lipschuetz et al. (2022) | Retrospective cohort | Israel | V: 35,595 UV: 13,273 |
NA | mRNA vaccine | 2021.08.24–2022.03.15 | NICU, neonatal/infant hospitalization, preterm birth | 9 |
|
| ||||||||
| Magnus et al. (2022) (N) | Registry-based retrospective cohort | Norway | V: 7590 UV: 46,522 |
V: 31.4 ± 4.5 UV: 30.7 ± 4.7 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, adenovirus vaccine | 2021.01.01–2022.01.15 | Stillbirth, maternal infection, NICU, preterm birth | 9 |
|
| ||||||||
| Magnus et al. (2022) (S) | Registry-based retrospective cohort | Sweden | V: 28,506 UV: 129,015 |
V: 32.2 ± 4.6 UV: 30.5 ± 4.8 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, adenovirus vaccine | 2021.01.01–2022.01.12 | Stillbirth, maternal infection, NICU, preterm birth | 9 |
|
| ||||||||
| Magnus et al. (2021) | Case–control | Norway | V: 1003 UV: 17,474 |
NA | Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, adenovirus vaccine | 2021.08.15–2021.02.15 | Spontaneous abortion | 8 |
|
| ||||||||
| Lu et al. (2023) | Prospective cohort | China | V: 497 UV: 348 |
V: 30.03 ± 3.43 UV: 30.14 ± 3.80 |
Inactivated vaccine | 2021.07–2021.10 | NICU, maternal ICU admission/death, postpartum hemorrhage, PPROM premature rupture of membranes/placental abruption, preterm birth | 8 |
|
| ||||||||
| Lindsay et al. (2023) | Cohort | Scotland | V: 11,202 UV: 22,404 |
V: 32 UV: 31 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, mixed doses | 2020.11.08–2021.06.02 | Maternal ICU admission/death, stillbirth, preterm birth | 9 |
|
| ||||||||
| Hui et al. (2023) | Multicentric cohort | Australia | V: 9682 UV: 2607 |
NA | mRNA vaccine | 2021.02.11–2021.05.31 | Stillbirth, preterm birth, postpartum hemorrhage | 8 |
|
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| Hui et al.(2023) | Multicentric cohort | Australia | V: 9667 UV: 2586 |
NA | mRNA vaccine | 2021.02.11–2021.05.31 | Maternal infection, NICU | 8 |
|
| ||||||||
| Ghesquiere et al. (2023) | Prospective cohort | Canada | V: 597 UV: 191 |
V: 30.03 ± 3.43 UV: 30.14 ± 3.80 |
Lacking detailed information | 2021.12–2021.12 | Maternal infection, preterm birth | 9 |
|
| ||||||||
| Law et al. (2023) | Case–control | China | V: 233 UV: 229 |
V: 31.9 UV: 31.26 |
mRNA vaccine | 2021.07.01–2021.10.31 | Postpartum hemorrhage, stillbirth, PPROM premature rupture of membranes/placental abruption, placental previa, NICU | 6 |
|
| ||||||||
| Yland et al. (2023) | Internet-based, prospective preconception cohort | Canada | V: 1356 UV: 455 |
V: 31.3 UV: 30.6 |
Adenovirus vaccine | 2020.11.20–2022.11.23 | Spontaneous abortion | 7 |
|
| ||||||||
| Morgan et al. (2023) | Retrospective cohort | USA | V: 2106 UV: 14,026 |
V: 31.56 ± 5.15 UV: 27.83 ± 5.8 |
mRNA vaccine | 2021.01.01–2021.12.31 | Neonatal death, maternal infection, NICU, severe or critical maternal COVID-19, stillbirth, preterm birth | 8 |
|
| ||||||||
| Morgan et al. (2022) | Retrospective cohort | USA | V: 1332 UV: 8760 |
V: 32.1 ± 5.9 UV: 27.8 ± 4.9 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, adenovirus vaccine | 2021.06.15–2021.08.20 | Stillbirth, maternal infection, severe or critical maternal COVID-19 | 8 |
|
| ||||||||
| Citu et al. (2022) | Observational retrospective | Germany | V: 927 UV: 2167 |
V: 29.5 ± 7.3 UV: 31.6 ± 5.6 |
Moderna mRNA-1273, Pfizer-BioNTech BNT162b2, adenovirus vaccine | 2020.01–2022.01 | Spontaneous abortion | 8 |
|
| ||||||||
| Goldshtein et al. (2022) | Retrospective cohort | Israel | V: 16,697 UV: 7591 |
V: 31.2 ± 5.3 UV: 31.1 ± 5.6 |
mRNA vaccine | 2021.03–2021.10.31 | Neonatal/infant hospitalization, preterm birth | 9 |
|
| ||||||||
| Goldshtein et al. (2021) | Retrospective cohort | Israel | V: 7530 UV: 7530 |
V: 31.1 ± 5.01 UV: 31.0 ± 4.85 |
mRNA vaccine | 2020.12.19–2021.02.28 | Spontaneous abortion, stillbirth, maternal infection, maternal hospitalization, preterm birth | 7 |
|
| ||||||||
| Barros et al. (2024) | Prospective cohort | 18 countries | V: 914 UV: 631 |
V (1 dose): 30.1 ± 6.2 V (2 doses) :31.1 ± 5.7 V (3 doses): 33.7 ± 5.2 UV: 30.6 ± 6.1 |
Moderna, Pfizer-BioNTech, adenovirus vaccine, inactivated vaccine | 2021.09.10–2022.06.23 | Preterm birth, premature rupture of membranes, NICU, infant infection | 8 |
|
| ||||||||
| Cai et al. (2024) | Retrospective cohort | China | V: 603 UV: 603 |
V: 30.58 ± 4.62 UV: 30.43 ± 4.29 |
Inactivated vaccine | 2022.01–2022.06 | Preterm birth, premature rupture of membranes, placenta previa or placenta implantation, placental abruption, chorioamnionitis, postpartum hemorrhage, infant hospitalization | 9 |
|
| ||||||||
| De Virgilio Suglia et al. (2024) | Retrospective cohort | Italy | V: 1657 UV: 1689 |
NA | Moderna, Pfizer-BioNTech, adenovirus vaccine | 2021.02.22–2022.12.31 | Infant infection | 8 |
|
| ||||||||
| Denoble et al. (2024) | Case–control | USA | V: 429 UV: 669 |
V: 32.4 ± 4.9 UV: 30.7 ± 5.8 |
Moderna, Pfizer-BioNTech, adenovirus vaccine | 2021.01.13–2022.02.28 | Stillbirth | 8 |
|
| ||||||||
| Faherty et al. (2024) | Retrospective cohort | USA | V: 45,296 UV: 250,164 |
V (before Pregnancy): 31 (28–34) V (during Pregnancy): 31 (27–34) UV: 29 (25–33) |
Moderna, Pfizer-BioNTech, adenovirus vaccine | 2020.12.10–2023.10.12 | Preterm birth, stillbirth | 8 |
|
| ||||||||
| Hatami et al. (2024) | Retrospective cohort | Iran | V: 17,485 UV: 112,003 |
V: 31.33(5.75) UV: 31.16(5.67) |
Sinopharm biotech | 2021.03.21–2022.03.21 | Preterm birth, stillbirth, NICU | 8 |
|
| ||||||||
| Iannaccone et al. (2024) | Prospective cohort | Germany | V: 2156 UV: 5174 |
NA | NA | 2020.04.03–2022.12.31 | Preterm birth, stillbirth | 7 |
|
| ||||||||
| Mahyuddin et al. (2024) | Prospective observational | Singapore | V: 98 UV: 0 |
NA | BNT162b2, mRNA-1273, Sinopharm BBIBP-CorV | 2021.08.24–2022.05.24 | Maternal infection | 8 |
|
| ||||||||
| Mensah et al. (2024) | Retrospective cohort, matched case–control | England | V: 182,582 UV: 331,431 |
NA | BNT162b2, mRNA-1273 | 2021.04–2022.03 | Preterm birth, neonatal death, stillbirth, mother ICU occupancy rate, maternal infection | 9 |
|
| ||||||||
| Norman et al. (2024) | Retrospective cohort, matched case–control | Sweden and Norway | V: 94,303 UV: 102,167 |
NA | BNT162b2, mRNA-1273, ChAdOx1-S | 2021.06–2023.01 | Preterm birth, neonatal death, NICU | 9 |
|
| ||||||||
| Santos et al. (2024) | Retrospective cohort | USA | V: 1158 UV: 938 |
V: 31.4 ± 4.3 UV: 29.1 ± 5.3 |
BNT162b2, mRNA-1273 | 2020.12.10–2021.12.31 | Neonatal death, stillbirth, maternal infection | 8 |
|
| ||||||||
| Arun Suseeladevi et al. (2024) | England-wide cohort | England | V: 53,060 UV: 133,405 |
V: 31.1 ± 5.1 UV: 28.7 ± 5.4 |
BNT162b2, ChAdOx1-S | 2021.05.25–2022.10.28 | Preterm birth, stillbirth | 9 |
|
| ||||||||
| Velez et al. (2024) | Population-based cohort | Ontario, Canada | V: 83,475 UV: 162,784 |
V: 31.2 ± 5.4, 31.0 ± 5.1 UV: 30.6 ± 5.5 |
mRNA vaccine, adenovirus-vectored vaccine | 2020.12.14–2021.12.01 | Spontaneous abortion | 9 |
|
| ||||||||
| Yeniocak et al. (2024) | Retrospective cohort | Turkey | V: 12 UV: 297 |
V: 30.58 ± 5.66, UV: 29.0 ± 5.52 |
NA | 2020.10–2022.07 | Mother ICU occupancy rate | 8 |
|
| ||||||||
| Zels et al. (2024) | Retrospective | Belgium | V: 127 UV: 55 |
NA | NA | 2020.01–2022.08 | Intrauterine fetal death, MVM, chorioamnionitis | 7 |
|
| ||||||||
| Zhang et al. (2024) | Single-center retrospective cohort | China | V: 369 UV: 231 |
V: 29.72 ± 5.30 UV: 30.09 ± 5.26 |
Adenovirus type 5 vector, vero cell, CHO cell | 2020.01.01–2022.09.09 | Spontaneous abortion | 7 |
3.2. Meta-Analysis Results
3.2.1. Maternal Outcomes
Overall pooled analyses showed a 50% reduction in the risk of SARS-CoV-2 infection among pregnant individuals (OR = 0.52, 95% CI: 0.45–0.60, I2 = 97%, p < 0.01; 24 studies, 1,002,195 pregnant individuals, Figure 2(a)). Differences in geographical regions, vaccine types, and dosing regimens may partly explain the high heterogeneity. Both mRNA vaccines (OR = 0.48, 95% CI: 0.34–0.67, I2 = 95%, Table 2) and inactivated vaccines (OR = 0.57, 95% CI: 0.51–0.63, I2 = 0%, Table 2) were effective in reducing the risk of COVID-19 infection among pregnant individuals. In the dosing regimen subgroup, a greater reduction in risk was observed with two doses (OR = 0.40, 95% CI: 0.24–0.65, I2 = 95%) compared to one dose (OR = 0.77, 95% CI: 0.67–0.88, I2 = 0%, Table 2). A booster dose provided an additional 44% protection compared to the original vaccine series (booster vs. two doses: OR = 0.56, 95% CI: 0.48–0.66, Figure S1).
Figure 2.

Forest plots showing the results of meta-analyses for maternal outcomes. (a) Infections in mother, (b) maternal hospitalization, (c) severe maternal outcomes.
Table 2.
Overall and subgroup meta-analyses of maternal outcomes.
| Study N | OR (95% CI) | p value | I 2 | Subgroup heterogeneity | |
|---|---|---|---|---|---|
| SARS‐CoV‐2 infection in mothers | 24 | 0.5226 [0.4528–0.6031] | < 0.0001 | 96.5% | |
| By vaccine types | p=0.3266 | ||||
| mRNA vaccine | 9 | 0.4794 [0.3437–0.6686] | 94.6% | ||
| Inactivated vaccine | 1 | 0.5706 [0.5148–0.6326] | 0.00% | ||
| By number of doses | p=0.0114 | ||||
| 1 dose | 1 | 0.7692 [0.6714–0.8811] | 0.00% | ||
| 2 dose | 5 | 0.3965 [0.2417–0.6503] | 94.5% | ||
| Maternal hospitalization | 8 | 0.5842 [0.4528–0.7537] | < 0.0001 | 79.3% | |
| By vaccine types | p < 0.0001 | ||||
| Inactivated vaccine | 1 | 11.1895 [10.5282–11.8923] | 0.00% | ||
| mRNA vaccine | 4 | 0.1954 [0.0641–0.5956] | 80.6% | ||
| Adenovirus vaccine | 1 | 10.9695 [8.6784–13.8655] | 0.00% | ||
| Severe/critical maternal outcomes | 11 | 0.4952 [0.3285–0.7464] | 0.0008 | 91.0% | |
| By vaccine types | p=0.6375 | ||||
| mRNA vaccine | 5 | 0.7860 [0.6231–0.9914] | 65.8% | ||
| Inactivated vaccine | 1 | 1.0003 [0.3770–2.6539] | 0.00% |
Note: The bold values indicate analyses detecting significant differences.
Collectively examined 137,586 experimental events (vaccinated pregnant individuals) and 374,119 control events (nonvaccinated pregnant individuals), a significant association was found between maternal hospitalization and vaccination in the overall analysis (OR = 0.58, 95% CI: 0.45–0.75, I2 = 79%, p < 0.01; 8 studies, 511,705 pregnant individuals, Figure 2(b)). The inactivated vaccines showed a stronger effect (OR = 0.20, 95% CI: 0.06–0.60, I2 = 81%, Table 2). A booster dose provided further protection (booster vs. unvaccinated: OR = 0.42, 95% CI: 0.36–0.49, Figure S3). In five studies, hospitalization was primarily attributed to COVID-19 infection [24, 40, 41, 55, 96], while in the other three studies [38, 42, 89], the direct reason was not clearly defined.
However, the inactivated vaccine group (OR = 11.19, 95% CI: 10.53–11.89, I2 = 0%, Table 2, Sinopharm Biotech) and adenovirus vaccine group (OR = 10.97, 95% CI: 8.68–13.87, I2 = 0%, Table 2, COVISHIELD and Sputnik V [rAd26 and rAd5]) showed a statistically significant increased risk of hospitalization compared to unvaccinated pregnant individuals.
We also looked into the vaccine effectiveness against different variants. Protection was more stable during the Omicron waves (Delta wave vs. Omicron wave: OR = 0.75, 95% CI: 0.64–0.89, Figure S4 vs. OR = 0.10, 95% CI: 0.01–0.73, Figure S5). For both variants, a booster dose showed a positive outcome (Figures S6 and S7).
There was a significant reduction in severe/critical maternal outcomes (defined as respiratory failure, septic shock, multiple organ failure, maternal ICU admissions, or death) (OR = 0.50, 95% CI: 0.33–0.75, I2 = 91%, Figure 2(c)). However, no significant differences were observed between different vaccine types (Table 2).
More detailed results can be found in Table 2 and Figures S1–S8.
3.2.2. Neonatal Outcomes
Vaccination was associated with a reduced risk of neonatal or infant infection during delivery hospitalization and early months of life (OR = 0.69, 95% CI: 0.50–0.96, I2 = 82%, p < 0.01; 7 studies, 33,868 cases, Figure 3(a)), with inactivated vaccines showing a similar effect (OR = 0.59, 95% CI: 0.48–0.73, I2 = 14%, Table 3). Additionally, a 31% reduction in the odds of hospitalization was observed among neonates or infants born to vaccinated mothers compared to those born to unvaccinated mothers (OR = 0.69, 95% CI: 0.55–0.87, I2 = 77%, p < 0.01; 6 studies, 97,518 cases, Table 3, Figure 3(b)). Most studies clearly identified hospitalization due to COVID-19, except for two studies [82, 94].
Figure 3.

Forest plots showing the results of meta-analyses for neonatal outcomes. (a) Infant infection, (b) neonatal hospitalization, (c) NICU (neonatal intensive care unit).
Table 3.
Overall and subgroup meta-analyses of neonatal outcomes.
| Study N | OR (95% CI) | I 2 | Subgroup heterogeneity | |
|---|---|---|---|---|
| SARS‐CoV‐2 infection in infants | 7 | 0.6895 [0.4975–0.9556] | 82.4% | |
| By vaccine types | p=0.2722 | |||
| mRNA vaccine | 2 | 0.8037 [0.4883; 1.3228] | 86.2% | |
| Inactivated vaccine | 5 | 0.5941 [0.4834; 0.7303] | 14.1% | |
| By variants | p < 0.0001 | |||
| Delta | 3 | 0.2033 [0.1304–0.3170] | 39.1% | |
| Omicron | 3 | 0.9649 [0.6935–1.3425] | 86.6% | |
| Neonatal hospitalization | 6 | 0.6896 [0.5451–0.8724] | 77.4% | |
| NICU/PICU | 27 | 0.9110 [0.8436–0.9837] | 89.3% | |
| By vaccine types | p=0.0394 | |||
| mRNA vaccine | 11 | 0.8241 [0.6951–0.9771] | 94.8% | |
| Inactivated vaccine | 5 | 0.9938 [0.9433–1.0469] | 0.00% | |
| By trimester | p=0.5578 | |||
| 1st trimester | 7 | 1.0836 [0.7827–1.5002] | 90.7% | |
| 2nd trimester | 5 | 1.0269 [0.8422–1.2521] | 95.9% | |
| 3rd trimester | 7 | 0.9443 [0.8772–0.0165] | 57.7% | |
| By number of doses | p=0.0427 | |||
| 1 dose | 6 | 1.0352 [0.9392–1.1411] | 74.8% | |
| 2 doses | 8 | 0.9072 [0.8354–0.9852] | 78.2% |
Note: The bold values indicate analyses detecting significant subgroup differences.
A 9% reduction was also observed in the NICU/PICU admissions during delivery hospitalization (OR = 0.91, 95% CI: 0.84–0.98, I2 = 89%, p < 0.01; 27 studies, 903,967 cases, Table 3, Figure 3(c)).
In the NICU/PICU subgroup analysis, no differences were detected between different vaccination times during the first, second, or third trimester (Table 3). mRNA vaccines showed a protective effect (OR = 0.82, 95% CI: 0.70–0.98), whereas inactivated vaccines demonstrated no significant effect (OR = 0.99, 95% CI: 0.94–1.05, I2 = 95%). A complete series of two doses was found to be effective (OR = 0.91, 95% CI: 0.84–0.99, I2 = 78%), while one dose showed no protective benefit (OR = 1.04, 95% CI: 0.94–1.14, I2 = 75%). Two studies included data from the Delta and Omicron periods, and no significant relationship was found between vaccine timing and neonatal outcomes during these variants.
3.2.3. Obstetric Outcomes
The analysis of preterm birth outcomes associated with COVID-19 vaccination during pregnancy revealed a consistent protective effect. Overall, vaccination reduced the risk of preterm birth by 13% (OR = 0.87, 95% CI: 0.81–0.93, I2 = 94%, Table 4, Figure 4). This effect was more pronounced in individuals with prior infection (OR = 0.82, 95% CI: 0.74–0.90, I2 = 96%, Table 4) compared to those without prior infection (OR = 0.93, 95% CI: 0.81–0.93, I2 = 66%). However, the impact of inactivated and mRNA vaccines was inconclusive (Inactivated: OR = 0.95, 95% CI: 0.79–1.16, I2 = 61%; mRNA: OR = 0.99, 95% CI: 0.70–1.40, I2 = 99%, Table 4), while the adenovirus vaccine was associated with an increased risk (OR = 1.53, 95% CI: 1.14–2.06, I2 = 99%, Table 4). Two doses of the vaccine significantly reduced the risk of preterm birth (OR = 0.80, 95% CI: 0.71–0.90, I2 = 84%), but a booster dose did not show additional benefit (OR = 0.99, 95% CI: 0.44–2.22, Figure S16). The subgroup analysis of vaccination timing recommended vaccination in the third trimester (OR = 0.76, 95% CI: 0.66–0.88, I2 = 99%, Table 4). Notably, vaccination was particularly effective in preventing very preterm births (OR = 0.70, 95% CI: 0.57–0.86) and spontaneous preterm births (OR = 0.76, 95% CI: 0.67–0.86, I2 = 85%). More results are available in Table 4 and Figures S16 and S17.
Table 4.
Overall and subgroup meta-analyses of preterm birth.
| Study N | OR (95% CI) | I 2 | Subgroup heterogeneity | |
|---|---|---|---|---|
| Preterm birth | 45 | 0.8695 [0.8106–0.9328] | 93.6% | |
| By prior infection status | p=0.0371 | |||
| Possible prior infection | 25 | 0.8182 [0.7402–0.9043] | 96.2% | |
| No prior infection | 20 | 0.9349 [0.8668–1.0084] | 66.3% | |
| By vaccine types | p=0.0263 | |||
| mRNA vaccine | 18 | 0.9902 [0.6983; 1.4040] | 99.8% | |
| Inactivated vaccine | 11 | 0.9538 [0.7856–1.1581] | 60.9% | |
| Adenovirus vaccine | 2 | 1.5362 [1.1433; 2.0641] | 98.6% | |
| By trimester | p=0.0003 | |||
| 1st trimester | 10 | 1.0395 [0.9258–1.1672] | 79.8% | |
| 2nd trimester | 9 | 1.1361 [0.9770–1.3211] | 95.7% | |
| 3rd trimester | 9 | 0.7596 [0.6569–0.8784] | 92.8% | |
| By number of doses | p < 0.0001 | |||
| 1 dose | 7 | 1.1440 [1.0139–1.2908] | 56.6% | |
| 2 dose | 12 | 0.8027 [0.7137–0.9029] | 84.0% | |
| By type of preterm birth | p=0.9671 | |||
| Spontaneous | 7 | 0.7625 [0.6729–0.8642] | 85.1% | |
| Provider-initiated | 6 | 0.7578 [0.5776–0.9941] | 94.2% |
Note: The bold values indicate analyses detecting significant subgroup differences.
Figure 4.

Forest plots showing the results of meta-analyses for preterm birth.
Concerning the risk of neonatal death, the analysis shows that COVID-19 vaccination during pregnancy is associated with a 53% reduction (OR = 0.47, 95% CI: 0.26–0.85, I2 = 95%, Figure 5). This protective effect is evident in individuals without prior infection (OR = 0.44, 95% CI: 0.22–0.86, I2 = 97%, Table 5), but is less significant in those with prior infection (OR = 0.56, 95% CI: 0.28–1.09, I2 = 81%, Table 5).
Figure 5.

Forest plots showing the results of meta-analyses for neonatal death.
Table 5.
Overall and subgroup meta-analyses of other obstetric outcomes.
| Study N | OR (95% CI) | I 2 | Subgroup heterogeneity | |
|---|---|---|---|---|
| Abortion | 17 | 1.0184 [0.8938–1.1603] | 93.0% | |
| By prior infection status | p=0.3969 | |||
| Possible prior infection | 8 | 0.9597 [0.8132–1.1325] | 90.3% | |
| No prior infection | 7 | 1.0716 [0.8825–1.3011] | 92.7% | |
| By type of abortion | p=0.4117 | |||
| Spontaneous abortion | 15 | 1.0060 [0.8806–1.1493] | 93.8% | |
| Threatened abortion | 2 | 1.4137 [0.6345–3.1499] | 43.8% | |
| By number of doses | p=0.0994 | |||
| 1 dose | 3 | 1.0113 [0.9360–1.0927] | 0.00% | |
| 2 dose | 3 | 0.7613 [0.5479–1.0577] | 70.7% | |
| By vaccine types | p=0.6989 | |||
| mRNA vaccine | 5 | 1.0074 [0.9424–1.0769] | 25.5% | |
| Inactivated vaccine | 3 | 0.9906 [0.7425–1.3215] | 0.00% | |
| Adenovirus vaccine | 3 | 2.0130 [0.3993–10.1494] | 99.6% | |
| Postpartum hemorrhage | 19 | 0.9897 [0.4338–2.2576] | 99.5% | |
| By prior infection status | p=0.3078 | |||
| Possible prior infection | 9 | 0.8563 [0.6747–1.0867] | 53.6% | |
| No prior infection | 8 | 1.0047 [0.8275–1.2199] | 33.3% | |
| By vaccine types | p=0.0435 | |||
| mRNA vaccine | 7 | 1.0342 [0.8954–1.1945] | 29.3% | |
| Inactivated vaccine | 5 | 0.4881 [0.2389–0.9974] | 56.8% | |
| By trimester | p=0.9065 | |||
| 1st trimester | 1 | 1.0712 [0.5740–1.9989] | 0.00% | |
| 2nd trimester | 1 | 1.1625 [0.7871–1.7168] | 0.00% | |
| 3rd trimester | 1 | 1.0317 [0.7190–1.4806] | 0.00% | |
| Intrauterine fetal death | 10 | 0.7617 [0.5344–1.0856] | 26.0% | |
| By prior infection status | p=0.1653 | |||
| Possible prior infection | 3 | 0.4338 [0.1587–1.1860] | 43.1% | |
| No prior infection | 7 | 0.9084 [0.6865–1.2019] | 0.00% | |
| By vaccine types | p=0.5371 | |||
| mRNA vaccine | 5 | 0.9145 [0.6885–1.2147] | 0.00% | |
| Inactivated vaccine | 1 | 0.3320 [0.0135–8.1893] | 0.00% | |
| By trimester | p=0.7043 | |||
| 1st trimester | 1 | 0.3320 [0.0135–8.1893] | 0.00% | |
| 2nd trimester | 1 | 1.0419 [0.5116–2.1216] | 0.00% | |
| 3rd trimester | 2 | 0.6453 [0.1339–3.1112] | 73.5% | |
| By race | p=0.1393 | |||
| White | 1 | 2.0419 [0.4901–8.5066] | 0.00% | |
| Black | 1 | 4.5267 [0.6134–33.4041] | 0.00% | |
| Asian | 2 | 0.4418 [0.1014–1.9250] | 0.00% | |
| By number of doses | p=0.9131 | |||
| 1 dose | 1 | 0.6190 [0.0250–15.3046] | 0.00% | |
| 2 dose | 3 | 0.7412 [0.4859–1.1307] | 0.00% | |
| Neonatal death | 10 | 0.4739 [0.2628–0.8545] | 95.2% | |
| By prior infection status | p=0.6052 | |||
| Possible prior infection | 5 | 0.5559 [0.2826–1.0934] | 81.0% | |
| No prior infection | 5 | 0.4309 [0.2165–0.8578] | 94.7% | |
| Stillbirth | 22 | 0.6359 [0.5314–0.7609] | 70.1% | |
| By prior infection status | p=0.5571 | |||
| Possible prior infection | 15 | 0.6175 [0.5006–0.7617] | 72.7% | |
| No prior infection | 7 | 0.7055 [0.4767–1.0440] | 61.8% | |
| By vaccine types | p=0.4804 | |||
| mRNA vaccine | 9 | 0.3551 [0.1215–1.0379] | 98.3% | |
| Inactivated vaccine | 2 | 1.9125 [0.1277–28.6341] | 68.2% | |
| Adenovirus vaccine | 2 | 0.2114 [0.0078–5.6986] | 99.6% | |
| By trimester | p=0.1064 | |||
| 1st trimester | 2 | 1.0494 [0.8717–1.2633] | 0.0% | |
| 2nd trimester | 2 | 0.9063 [0.7975–1.0298] | 0.0% | |
| 3rd trimester | 2 | 0.5317 [0.2734–1.0341] | 84.5% | |
| Premature rupture of membranes | 9 | 0.9425 [0.6861–1.2946] | 70.4% | |
| By prior infection status | p=0.5609 | |||
| Possible prior infection | 4 | 0.8440 [0.4059–1.7550] | ||
| No prior infection | 5 | 1.0577 [0.8602–1.3005] | ||
| By vaccine types | p=0.7815 | |||
| mRNA vaccine | 3 | 0.8762 [0.5584–1.3747] | 0.0% | |
| Inactivated vaccine | 4 | 0.9759 [0.5280–1.8038] | 87.5% | |
| By trimester | p=0.9266 | |||
| 1st trimester | 2 | 1.5050 [0.4897–4.6247] | 65.4% | |
| 2nd trimester | 1 | 1.1406 [0.2909–4.4726] | 0.00% | |
| 3rd trimester | 1 | 1.6222 [0.4667–5.6388] | 0.00% | |
| By number of doses | p=0.5482 | |||
| 1 dose | 2 | 1.0707 [0.7515–1.5255] | 0.00% | |
| 2 dose | 2 | 0.9347 [0.7158–1.2206] | 0.00% | |
| Abnormality of placenta | 14 | 0.8645 [0.6371–1.1731] | 27.9% | |
| By prior infection status | p=0.5399 | |||
| Possible prior infection | 4 | 0.5661 [0.1709–1.8760] | 73.3% | |
| No prior infection | 10 | 0.8330 [0.6179–1.1228] | 0.0% | |
| By type of abnormality of placenta | p=0.7472 | |||
| Combination | 1 | 0.9037 [0.5515–1.4808] | 0.00% | |
| Placental previa | 4 | 0.5320 [0.2312–1.2239] | 0.00% | |
| Placental abruption | 3 | 0.8869 [0.4105–1.9164] | 0.00% | |
| Placental pathology | 6 | 0.7920 [0.4449–1.4097] | 62.5% | |
| MVM (maternal vascular malperfusion) | 4 | 0.5079 [0.2453–1.0516] | 21.3% | |
| Chorioamnionitis | 5 | 1.3460 [0.9408–1.9258] | 15.8% |
Note: The bold values indicate analyses detecting significant subgroup differences.
Furthermore, the results indicate that COVID-19 vaccination during pregnancy significantly reduces the risk of stillbirth (OR = 0.64, 95% CI: 0.53–0.76, I2 = 70%, Figure 6), with a more pronounced protective effect in individuals with prior infection (OR = 0.62, 95% CI: 0.50–0.76, Table 5).
Figure 6.

Forest plots showing the results of meta-analyses for stillbirth.
Other analyses revealed no significant effect on the risk of PPROM, placental abnormalities, intrauterine fetal death, or abortion. Inactivated vaccines appear to be likely effective in reducing postpartum hemorrhage (OR = 0.49, 95% CI: 0.24–1.00, I2 = 57%, Table 5).
Detailed results, including overall analyses and subgroup outcomes, can be found in Table 5 and Figures S15 and S18–S21.
3.3. Publication Bias
Potential publication bias was assessed using Egger's test and the creation of funnel plots for visual inspection, when a sufficient number of studies (N > 10) were available. No significant evidence of publication bias was found, except for studies on placental abnormalities, where two statistical outliers were excluded to address the bias.
4. Discussion
Our systematic review and meta-analysis, which included 3,676,654 individuals, primarily assessed the effectiveness of COVID-19 vaccinations and their impact on pregnancy outcomes. COVID-19 vaccination was associated with a reduced risk of maternal COVID-19 infection (OR = 0.52, 95% CI: 0.45–0.60, I2 = 97%), maternal hospitalization (OR = 0.58, 95% CI: 0.45–0.75, I2 = 79%), severe maternal outcomes (OR = 0.50, 95% CI: 0.33–0.75), and adverse neonatal outcomes, particularly neonatal death (OR = 0.47, 95% CI: 0.26–0.85, I2 = 91%), stillbirth (OR = 0.64, 95% CI: 0.53–0.76, I2 = 70%), neonatal infection (OR = 0.69, 95% CI: 0.50–0.96, I2 = 82%), neonatal hospitalization (OR = 0.69, 95% CI: 0.55–0.87, I2 = 77%), preterm birth (OR = 0.87, 95% CI: 0.81–0.93, I2 = 94%), and NICU/PICU admission (OR = 0.91, 95% CI: 0.84–0.98, I2 = 89%).
No significant increase or decrease in the risk of other adverse outcomes was found.
Overall, no adverse impacts were observed.
The third trimester appeared to be an optimal time for vaccination to reduce the risk of preterm birth, while vaccination timing had no significant effect on other outcomes.
No evidence of considerable publication bias was tested found, except for studies on placental abnormalities, which were addressed by excluding two statistical outliers.
4.1. Preterm Birth
The significant reduction in maternal COVID-19 infection rates highlights the vaccine's role in preventing severe illness during pregnancy, which is crucial given the increased risk of complications for pregnant individuals.
Previous studies have reported that COVID-19 infection during pregnancy significantly elevates the risk of preterm birth [4, 100, 101] and other neonatal complications [102]. This risk is often influenced by the severity of the infection, with more severe cases leading to higher rate [103, 104]. However, other studies have found no significant change, or even a decrease, in preterm birth rates during the pandemic [105, 106].
While the effects of COVID-19 on pregnancy are well documented, investigating how COVID-19 vaccination impacts this population remains important, particularly in light of ongoing concerns that contribute to vaccine hesitancy, which may pose risks to both individuals and their babies. The observed 13% reduction in preterm labor rates could suggest a potential link between SARS-CoV-2 infection and preterm birth. To further explore the underlying mechanisms, our study also examined the risk of PROM and placental abnormalities, as several studies have reported pathological changes, placental infections, and insufficiency following COVID-19 infection in pregnant individuals [107–110]. However, no significant reduction in risk was found among vaccinated individuals (PROM: OR = 0.94, 95% CI: 0.69–1.29; abnormality of placenta: OR = 0.86, 95% CI: 0.64–1.17, Table 5). While a possible adverse effect of chorioamnionitis was observed, the result was not significant (OR = 1.35, 95% CI: 0.94–1.92). This suggests that the exact mechanisms by which COVID-19 leads to adverse outcomes remain unclear. Our analysis included different types of preterm birth, with consistent protective effects observed for both spontaneous and initiated preterm birth (Table 4).
4.2. Neonatal Death and Stillbirth
The reduction in neonatal death and stillbirth rates supports the notion that vaccination lactating individuals may provide additional protection to the fetus through the transfer of maternal antibody, including transplacental transfer and breastfeeding. Studies have shown increased levels of Spike IgG and SIgA antibodies in breast milk, while maternal IgG antibodies to SARS-CoV-2 are efficiently transported across the placenta [111, 112] This protection appears to remain relatively significant regardless of the timing of vaccination.
4.3. Infection Status
The variation in vaccine effectiveness based on infection status underscores the complexity of immune responses during pregnancy, suggesting that both natural immunity and vaccine-induced immunity [113, 114] contribute to improved outcomes. The impact of COVID-19 further complicates the situation. To sorely looking into the independent effect of vaccination, subgroup 1 is established. Most results from the vaccine-induced group continue to support the protective effect against adverse perinatal outcomes. The protective effect of vaccination remains constant despite the potential risks COVID-19 may pose to pregnancies, even after excluding the influence of natural immunity in pregnant individuals with unclear prior infection status. However, instability was observed in outcomes like preterm birth and neonatal death, where vaccination efficacy was more pronounced in those without prior infection during pregnancy. This suggests that COVID-19 infection may contribute more to adverse outcomes than natural immunity.
4.4. Inactivated Vaccines and Adenovirus Vaccines
Inactivated vaccination effectively reduces the rate of maternal infection by 48%, maternal hospitalization by 42%, and neonatal infection by 31%. It also marginally lowered the odds of postpartum hemorrhage. However, for other outcomes, no consistent improvement was observed compared to the unvaccinated control group.
Data on adenovirus vaccines were collected for outcomes related to preterm birth, abortion, and stillbirth. Analysis of other outcomes was not conducted due to the limited number of studies or lack of specific data on this vaccine type, as most studies involved a mixed-vaccination population. No significant impact was observed, except for preterm birth, where the OR for the adenovirus vaccine was 1.53 (95% CI: 1.14–2.06).
Overall, the findings support the continued use of inactivated vaccines to protect maternal and neonatal health during the ongoing pandemic, despite some variations in the protective effects on different maternal and neonatal outcomes with different vaccine types.
4.5. Booster Dose
Booster doses can increase both sIgA and IgG antibody titers, enhancing immunization in neonates of breastfeeding mothers and providing additional protection through increased immunoglobulin transfer via the cord blood [115–117]. Studies have shown that licensed mRNA COVID-19 vaccines maintain robust immunity for approximately 5 to 6 months [116], making booster doses necessary to sustain SARS-CoV-2-specific responses and address the emergence of more contagious variants [118, 119] (https://www.cdc.gov/media/releases/2021/s1129-booster-recommendations.html). Several studies have demonstrated the safety of booster doses during pregnancy.
For further investigation, this subgroup was analyzed across various outcomes, including maternal COVID-19 infection, maternal hospitalization, preterm birth, PROM or placental abruption, abnormalities of the placenta, postpartum hemorrhage, abortion, intrauterine fetal death, neonatal death, and stillbirth. The results show either no significant effect or weak promotion of outcomes, which suggest that while full vaccination provided more robust protection, the benefit of a booster dose was less clear. The absence of significant adverse effects indicates that booster doses are likely safe. However, the high variability in certain outcomes (e.g., maternal hospitalization and postpartum hemorrhage) highlights the need for more robust studies with larger sample sizes to confirm these findings.
4.6. Comparison With Existing Literature
A 2024 meta-analysis [120] reported a substantial reduction in maternal hospitalization (OR = 0.06, 95% CI: 0.01–0.71) in its primary analysis of test-negative design studies. However, in the comparative cohort (unadjusted) studies, the association was inconsistent (OR = 0.41, 95% CI: 0.13–1.28). Based on the adjusted estimates from the extracted data, no association was found between COVID-19 vaccination and other maternal outcomes, except for a reduction in the risk of hypertensive disorders during pregnancy.
A meta-analysis [121] (30 studies involving 862,272 individuals) reported a 1.78-fold increased risk of neonatal infection in the first 2, 4, and 6 months of life during the Omicron period. However, a decrease in maternal hospitalization, ICU admissions, NICU admissions, stillbirth, and preterm births at 37, 32, and 28 weeks' gestation was observed. Our study offers a further and more detailed analysis of potential influencing factors based on a larger population and a broader time range. It suggests that the observed reduction in preterm birth rates is likely attributed to vaccination alone, with prior infection not contributing to the improvement in rates.
A recent meta-analysis [122] reviewed on the efficacy of different types of COVID-19 vaccines in the general population. The findings revealed that mRNA vaccines were the most effective (OR = 0.08, 95% CI: 0.06–0.10), followed by inactivated vaccines (OR = 0.20, 95% CI: 0.14–0.29), such as BBV152 (Bharat Biotech) and CoronaVac (Sinovac). Nonreplicating viral vector–based vaccines, including ChAdOx1 nCoV-19 (AstraZeneca/Oxford Covishield), Ad26.COV2.S (Janssen), and Ad5-nCoV (CanSino), demonstrated moderate efficacy (OR = 0.36, 95% CI: 0.28–0.46).
A 2023 meta-analysis [123] looked further into the effects of dose regimen and timing of vaccination during pregnancy, confirming the dose- and time-dependent effectiveness of COVID-19 vaccines in pregnant individuals. Vaccine effectiveness increased from day 11 to day 28 after the first dose, with an overall efficacy of approximately 96% after two doses. For inactivated vaccines, effectiveness was 40.97% after one dose (≥ 14 days) and 85.39% after full vaccination. These findings may help explain why, in our analysis, vaccination during the third trimester significantly reduces the likelihood of preterm birth. As previously observed, maternal infection is a major contributor to adverse perinatal outcomes, including preterm birth. Recent vaccination improves immunity, leading to a reduction in preterm birth rates. Additionally, no positive or adverse effects on perinatal outcomes (such as placental abruption, postpartum hemorrhage, miscarriage, stillbirth, preterm birth, or small-for-gestational-age infants) were found in this study.
4.7. Limitations
This analysis has several limitations. The inclusion of studies with varying designs, populations, and definitions of outcomes contributed to heterogeneity in some results. Moreover, although connections between comorbidities—such as preexisting diabetes mellitus, hypertension, and cardiovascular disease—and an increased risk of adverse pregnancy outcomes have been identified [124], we could not adjust for all potential biases due to incomplete information regarding the populations included.
The lack of data for certain subgroups, such as the specific effects of booster doses, limits the generalizability of some findings. Additionally, the observational nature of most included studies prevents us from establishing causality definitively.
4.8. Implications for Practice
Despite these limitations, the findings strongly support the recommendation for COVID-19 vaccination during pregnancy to protect both maternal and fetal health. Healthcare providers should actively encourage vaccination among pregnant individuals, emphasizing the safety and potential benefits in preventing severe COVID-19 and improving neonatal health.
4.9. Future Research
Future studies should constantly focus on large, diverse populations to validate these findings and explore the mechanisms underlying the protective effects of vaccination. Moreover, further research is needed to assess the effects of adenovirus vaccines and booster doses in pregnant populations. Long-term outcomes of vaccinated pregnancies, as well as the potential benefits of more specific vaccine timing, should also be investigated to provide a more comprehensive understanding of vaccination's impact on maternal and fetal health.
5. Conclusion
This meta-analysis confirms that COVID-19 vaccination during pregnancy is safe and beneficial, reducing the risks of maternal infection and several adverse neonatal outcomes. These results support public health policies advocating for the vaccination of pregnant women as a critical measure to protect maternal and fetal health during the pandemic.
Data Availability Statement
The data underlying this article are available in the article and its online supporting information.
Ethics Statement
This meta-analysis was based solely on previously published studies and did not involve new data collection from human participants; therefore, ethical approval was not required. All included studies had received appropriate ethical approval and were conducted in accordance with the Declaration of Helsinki.
Consent
Given the nature of this study as a meta-analysis of previously published data, no individual patient data were collected or analyzed. Therefore, patient consent was not required. However, all included studies in this meta-analysis were confirmed to have obtained the necessary patient consent as per their respective institutional review boards or ethics committees' requirements.
Conflicts of Interest
The authors declare no conflicts of interest.
Funding
The research was funded by the Natural Science Foundation of Chongqing of China (no. CSTB2022NSCQ-LZX0062).
Supporting Information
Additional supporting information can be found online in the Supporting Information section.
Search strategy, supporting figures (described as Figures S1–S21 in the article), and NOS are provided in the supporting information file. Supporting Figure 1: Forest plots showing the results of meta-analyses for maternal infection (booster vs. 2 doses). Supporting Figure 2: Forest plots showing the results of meta-analyses for maternal infection (vaccinated during pregnancy vaccinated before pregnancy and unvaccinated). Supporting Figure 3: Forest plots showing the results of meta-analyses for maternal hospitalization (booster vs. unvaccinated). Supporting Figure 4: Forest plots showing the results of meta-analyses for maternal hospitalization (Delta waves). Supporting Figure 5: Forest plots showing the results of meta-analyses for maternal hospitalization (Omicron waves). Supporting Figure 6: Forest plots showing the results of meta-analyses for maternal hospitalization (Booster in Delta waves). Supporting Figure 7: Forest plots showing the results of meta-analyses for maternal hospitalization (Booster in Omicron waves). Supporting Figure 8: Forest plots showing the results of meta-analyses for maternal hospitalization (2 doses). Supporting Figure 9: Forest plots showing the results of meta-analyses for NICU (booster vs. unvaccinated). Supporting Figure 10: Forest plots showing the results of meta-analyses for neonatal infection (2 doses). Supporting Figure 11: Forest plots showing the results of meta-analyses for neonatal infection (booster vs. unvaccinated). Supporting Figure 12: Forest plots showing the results of meta-analyses for neonatal hospitalization (mRNA vaccine). Supporting Figure 13: Forest plots showing the results of meta-analyses for neonatal hospitalization (1st trimester). Supporting Figure 14: Forest plots showing the results of meta-analyses for neonatal hospitalization (2 doses). Supporting Figure 15: Forest plots showing the results of meta-analyses for stillbirth (booster vs. unvaccinated). Supporting Figure 16: Forest plots showing the results of meta-analyses for preterm (booster vs. unvaccinated). Supporting Figure 17: Forest plots showing the results of meta-analyses for preterm (< 34 weeks). Supporting Figure 18: Forest plots showing the results of meta-analyses for intrauterine fetal death (booster vs. unvaccinated). Supporting Figure 19: Forest plots showing the results of meta-analyses for postpartum hemorrhage (booster vs. unvaccinated). Supporting Figure 20: Forest plots showing the results of meta-analyses for abortion (vaccinated in 1st trimester vs. unvaccinated). Supporting Figure 21: Forest plots showing the results of meta-analyses for abortion (vaccinated during pregnancy vs. vaccinated before pregnancy and unvaccinated). Supporting Table 1: Quality evaluation of the eligible cohort studies with Newcastle–Ottawa scale. Supporting Table 2: Quality evaluation of the eligible case–control studies with Newcastle–Ottawa scale.
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Supplementary Materials
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Data Availability Statement
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