Original research

Impact of COVID-19 pandemic on neurodevelopmental outcomes of premature infants: a retrospective national cohort study

Abstract

Objective To compare the neurodevelopmental outcomes of preterm infants before and during the COVID-19 pandemic.

Design Premature infants born in 2018 were assigned to the pre-pandemic group, while those born in 2019 were assigned to the during-pandemic group.

Setting Nationwide cohort study.

Patients Very low birthweight premature infants registered in the Taiwan Premature Infant Follow-up Network database.

Interventions Anti-epidemic measures, including quarantine and isolation protocols, social distancing, the closure of public spaces and restrictions on travel and gatherings during COVID-19 pandemic.

Main outcome measures Outcomes were measured by Bayley Scales of Infant and Toddler Development Third Edition at corrected ages of 6, 12 and 24 months old. Generalised estimating equation (GEE) was applied to incorporate all measurements into a single model.

Results Among the 1939 premature infants who were enrolled, 985 developed before the pandemic, while 954 developed during the pandemic. Premature infants whose development occurred during the pandemic exhibited better cognitive composite at the corrected age of 6 months (beta=2.358; 95% CI, 1.07 to 3.65; p<0.001), and motor composite at corrected ages of 12 months (beta=1.680; 95% CI, 0.34 to 3.02; p=0.014). GEE analysis showed that infants who had grown during the pandemic achieved higher scores in cognitive composite (beta=1.416; 95% CI, 0.36 to 2.48; p=0.009).

Conclusion Premature infants in Taiwan who developed during the pandemic showed better neurodevelopment compared with those born before the pandemic.

What is already known on this topic

  • Research has suggested that newborns born during the COVID-19 pandemic may experience poorer neurological development.

What this study adds

  • Premature infants developed during the pandemic exhibited improved cognitive and language developmental outcomes in Taiwan.

How this study might affect research, practice or policy

  • Despite experiencing the same pandemic, the neurological outcomes of premature infants vary across different social and cultural contexts.

Introduction

The WHO declared COVID-19 a Public Health Emergency of International Concern in January 2020. The virus that causes COVID-19, that is, SARS-CoV-2, rapidly spread worldwide and was declared a pandemic. As of 31 January 2022, there was a cumulative total of 349 641 119 confirmed cases and 5 592 266 deaths globally.1 In the case of Taiwan, between 2020 and 2021, the nation accumulated a total of 17 050 confirmed cases and 850 recorded fatalities.2 The government thus implemented a range of anti-epidemic measures, including quarantine and isolation protocols, social distancing, the closure of public spaces and restrictions on travel and gatherings.3 4 These measures have resulted in heightened economic and psychological pressures on caregivers, potentially impacting their capacity to provide high-quality care for children.5 6 Infants during the pandemic experienced a reduction in opportunities for interactions beyond their immediate family, and prolonged periods spent at home have contributed to decreased levels of physical activity and increased screen time.7 Furthermore, the long-term implementation of isolation policies and the strain on healthcare resources may have led to limited access to medical services.8 9 These adverse circumstances have the potential to pose a threat to the neurodevelopment of infants, particularly those born prematurely or with low birth weight, as they are at a heightened risk of developmental delays.10 Consequently, investigating the impact of these adverse factors on the early-life neurodevelopment of infants has become a topic of significant interest.

The prevailing evidence consistently indicates that the COVID-19 pandemic has had adverse effects on the neurodevelopment of infants.11–15 However, these studies primarily focused on the general population of newborns and did not specifically analyse the impact on preterm infants. Hence, the main objective of this study was to compare the neurodevelopmental outcomes of preterm infants before and during the COVID-19 pandemic from a nationwide perspective in Taiwan.

Materials and methods

Database sources

This research study used data from the Premature Baby Foundation of Taiwan. The Taiwan Premature Infant Follow-up Network (TPFN), managed by this foundation, has collaborated with multiple hospitals in Taiwan since 1995 to document the health conditions of very low birthweight infants during their hospitalisation and track their neurological development to toddler age. This project covered approximately 80% of very low and extremely low birthweight preterm infants in Taiwan. To ensure patient privacy, all identifiable information was removed from the data before uploading to TPFN.

Study population

All preterm infants with a birth weight of <1500 g, born between the years 2018 and 2019, and followed up in the database were included in the study. Infants born in 2018 were categorised as the pre-pandemic group, while those born in 2019 or after were categorised as the during-pandemic group because their growth occurred in the pandemic era. Exclusion criteria included full-term infants (≥37 weeks), cases of mortality and infants with congenital or chromosomal abnormalities.

Outcome measurements

The foundation and collaborating hospitals conducted outpatient follow-up for these preterm infants at corrected ages of 6 months, 12 months, 24 months and 60 months to monitor their health status. The assessment tool used in this study was the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III), which was published in 2006. It evaluates the development of infants and young children from 1 to 42 months of age across five domains: cognition, motor skills, language, socio-emotional functioning and adaptive behaviour.16 The reliability and validity of the BSID-III assessment tool have been examined and confirmed in studies conducted in Taiwan.17

Covariates

To address potential confounding factors, the study collected baseline demographic data, including birth body weight, gestational age, gender, 5 min Apgar score, maternal age, multi-pregnancy and parity. Additionally, major complications in pregnancy, including pre-eclampsia and chorioamnionitis, and major complications in preterm infants, such as respiratory distress syndrome (RDS) requiring surfactant treatment, hemodynamically significant patent ductus arteriosus (PDA) requiring surgical treatment, stage II or higher necrotising enterocolitis (NEC), bronchopulmonary dysplasia (BPD), stage III or higher intraventricular haemorrhage (IVH) and periventricular leukomalacia (PVL), were recorded and adjusted for in the analysis.

Statistical analysis

The data retrieval and analysis were conducted using the SAS statistical package (V.9.4; SAS Institute). Demographic data and BSID-III scores were presented as counts with percentages or means with SD. Categorical data were analysed using Pearson’s χ2 test, while continuous variables were compared using the independent t-test. Multiple linear regression models were employed to control for potential confounding factors during BSID-III scores analysis. Generalised estimating equations (GEEs) were used to analyse repetitive measurement of cognitive outcomes at 6, 12 and 24 months old. Statistical significance was set at a p value of <0.05.

Results

Demographic characteristics

During the study period, a total of 2362 preterm infants were enrolled by TPFN. After excluding full-term infants (≥37 weeks), cases of mortality and infants with congenital or chromosomal abnormalities, a total of 1939 infants were included in the analysis, with 985 in the pre-pandemic group and 954 in the during-pandemic group. The demographic characteristics of the infants are summarised in table 1. The during pandemic group had a higher proportion of infants with a birth weight below 1 kg (32.99% vs 37.32%, p=0.05) and a higher proportion of primipara (60.20% vs 66.88%, p=0.002). However, there were no significant differences in terms of gender (male, 51.98% vs 51.15%, p=0.71), 1 min Apgar score (mean, 5.97 vs 5.98, p=0.92), 5 min Apgar score (mean, 7.86 vs 7.91, p=0.49), maternal age (>35 years, 45.89% vs 47.06%, p=0.60), gestational age (mean, 29.29 vs 29.29, p=0.95), multi-pregnancy (32.18% vs 33.02%, p=0.69), pre-eclampsia (24.77% vs 26.73%, p=0.32) and chorioamnionitis (5.38% vs 4.09%, p=0.18). In terms of complications among preterm infants, the during-pandemic group showed a slight decrease in the incidence of BPD, but the difference was not statistically significant (41.52% vs 37.74%, p=0.08). No significant differences were observed in other complications such as RDS (surfactant treatment required, 32.39% vs 30.88%, p=0.75), PDA (surgical treatment required, 13.40% vs 13.10%, p=0.84), NEC (stage II or III, 5.38% vs 4.72%, p=0.50), IVH (stage III and above, 5.48% vs 5.66%, p=0.86) and PVL (4.77% vs 4.51%, p=0.78).

Table 1
|
Characteristics of neonates

BSID-III scores before and during COVID-19 pandemic

The Bayley scale scores at 6 months, 12 months and 24 months before and during the pandemic are presented in table 2. Some cases might not have been able to complete all three assessments at the same time point, leading to inconsistent enrollment numbers for different composites. Furthermore, some cases did not participate in subsequent follow-up assessments, resulting in a reduced number of cases for the 12-month and 24-month assessments. Based on the crude rate analysis, premature infants that developed in the pandemic era had better cognitive (96.54 vs 98.75, p<0.001) and language (96.00 vs 97.26, p=0.02) outcomes at the corrected age of 6 months. Additionally, at 12 months of corrected age, premature infants that developed during the pandemic era also demonstrated better motor skills (92.33 vs 93.91, p=0.02).

Table 2
|
Results of Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III)

Multiple linear regression model for controlling confounding factors

To control for potential confounding factors, we adjusted for birth body weight, gestation age, gender, mother’s age, multi-pregnancy, pre-eclampsia, chorioamnionitis, parity, 5 min Apgar score and complications of preterm birth by multiple linear regression models, as presented in table 3. Premature infants that developed during the pandemic demonstrated better cognitive (beta=2.358; 95% CI, 1.07 to 3.65; p<0.001) outcomes at the corrected age of 6 months. They also had better motor skills (beta=1.680; 95% CI, 0.34 to 3.02; p=0.014) at the corrected age of 12 months.

Table 3
|
Multiple linear regression model on Bayley Scales of Infant Development before and during the pandemic*

Analysing repetitive measurement of cognitive outcomes by GEE models

To address the challenge of repetitive measurements for neurodevelopmental outcomes in each infant, we further incorporated all of the outcome measurements into a single model using GEEs. The infants that developed during the pandemic still had higher scores in the cognitive (beta=1.416; 95% CI, 0.36 to 2.48; p=0.009) composite (table 4).

Table 4
|
Generalised estimating equations of the Bayley Scales of Infant Development before and during the pandemic*

Discussion

This nationwide cohort study revealed that premature infants reared during the pandemic era demonstrated enhanced neurodevelopmental outcomes, particularly in the realms of cognitive and linguistic abilities. The study included more than 80% of very low birthweight preterm infants in Taiwan, ensuring a high level of representativeness. Another noteworthy aspect of this research was the remarkably high rate of cases that completed all three rounds of follow-up assessments, which demonstrates the robustness of the findings. At the time of writing, this investigation was the world’s first comprehensive national study focusing on the developmental differences among preterm infants before and during the pandemic. In contrast to prior studies, which predominantly conducted single-time-point analyses,13 our study employed GEE to integrate data from three time points and effectively addressed the issue of repeated measurements.

Infant neurodevelopment is influenced by a variety of factors, such as genetic conditions,18 maternal mental health during pregnancy,19 20 prematurity,21 22 intrauterine and neonatal insults,23 perinatal infection or inflammation,24 25 socioeconomic status26 27 and caregivers’ education level.28 Considering the current lack of evidence regarding the influence of SARS-CoV-2 on placental function, fetal inflammatory response or vertical transmission between mother and child, the primary factors affecting neurodevelopment are likely postnatal environmental factors.29 30

In relevant studies, Huang et al employed the Gesell Developmental Schedules as an assessment tool and discovered that the experience of the pandemic in 2020 was linked to a heightened risk of delays in the fine motor and communication composite at 12 months of age. Furthermore, several of the studies mentioned used the Ages & Stages Questionnaire, 3rd Edition as their assessment tool. Huang et al found no impact of the pandemic on the development of infants at 6 months of age. Shuffrey et al reported that infants born during the pandemic had notably lower scores in the gross motor skills, fine motor skills and personal-social development domains at 6 months of age. Imboden et al noted a reduction in problem-solving scores at 6 months of age following the pandemic, but an increase at 24 months of age. Additionally, there was a slight decline in the communication domain at 6 months of age and 12 months of age. Lau et al observed trends of lower scores in cognitive and motor development at around 24 months of age. While the conclusions of these studies are not entirely consistent, infants and children born during the pandemic tended to have poorer developmental outcomes. This observation aligns with findings from Hessami’s systematic review and meta-analysis, which indicates a higher likelihood of communication impairment in the pandemic cohort. Possible reasons for this decline include reduced opportunities for social interaction, financial difficulties faced by families, the implementation of mandatory mask-wearing policies and an increased prevalence of mental health issues among caregivers.11–15

However, our study yielded different results, which could be explained by the following. In 2003, Taiwan experienced an outbreak of SARS, which resulted in significant fatalities due to inadequate government policies and a lack of experience in managing large-scale infectious diseases, leading to societal panic.31 32 Drawing from this experience, when faced with the COVID-19 pandemic, the public exhibited increased vigilance and a high degree of compliance with preventive measures.33 34 Parents in Taiwan may have taken extra precautions to protect their infants, such as reducing outdoor activities to prevent potential infections, or paying special attention to their infants’ health status. Moreover, restriction of social interactions might have further increased the amount of time parents were able to spend with their infant. These actions could have enhanced the parent-infant bond, potentially contributing to the observed positive effects on infant development. Moreover, compared with most countries worldwide that experienced an economic downturn during the pandemic, Taiwan’s economy remained relatively stable.35–37 This potentially suggests that a smaller number of families in Taiwan encountered economic challenges or instability, which may have had a positive impact on childcare. The possible underlying mechanism may be related to the developmental origins of health and disease theory. It is hypothesised that certain environmental stressful events interact with DNA and hormones, potentially impacting brain development and function.38 39 However, how this mechanism influences development under protective conditions remains to be studied in the future.

Additionally, our statistical analysis revealed that the most substantial developmental differences were observed at 6 months of age, while no significant differences were noted at 24 months of age. This may imply that the impact of the pandemic was primarily limited to the early stages of life and could be temporary. However, further research with long-term follow-up is needed to confirm these observations.

There were some limitations in this study. Preterm infants with a birth weight exceeding 1500 g were not included in the TPFN programme. Due to the stringent privacy protection policy of TPFN, we also lacked data on caregiver education levels, socioeconomic status, whether they live in urban or rural areas, and whether the infants themselves had COVID-19, which could all be related to development. The major outbreak of the pandemic in Taiwan occurred after April 2022. However, TPFN currently only provides data up to the end of 2021. Therefore, we are unable to analyse the pandemic situation in Taiwan after 2022. The data from TPFN did not categorise the severity of PVL. Therefore, our analysis is based solely on the presence or absence of PVL.

Conclusion

Premature infants with very low birth weight whose development occurred during the pandemic in Taiwan showed improved neurodevelopmental outcomes compared with their pre-pandemic counterparts.

  • Collaborators: Taiwan Premature Infant Follow-up Network: Jui-Hsing Chang (National coordinator, Mackay Children’s Hospital, Taipei, Taiwan),Kuo-Inn Tsou (Former national coordinator, Cardinal Tien Hospital, Taipei, Taiwan);Po-Nien Tsao (Regional coordinator, National Taiwan University Hospital, Taipei, Taiwan);Shu-Chi Mu (Regional coordinator, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan);Chyong-Hsin Hsu (Regional coordinator, Mackay Children’s Hospital, Taipei, Taiwan);Reyin Lien (Regional coordinator, Chang Gung Memorial Hospital, Taoyuan, Taiwan);Hung-Chih Lin (Regional coordinator, China Medical University Hospital, Taichung, Taiwan);Chien-Chou Hsiao (Regional coordinator, Changhua Christian Hospital, Changhua, Taiwan);Chao-Ching Huang (Regional coordinator, National Cheng Kung University Hospital, Tainan, Taiwan);Chih-Cheng Chen (Regional coordinator, Chang Gung Memorial Hospital Kaohsiung Branch, Kaohsiung, Taiwan).

  • Contributors: T-CT conceptualised and designed the study, carried out the statistical analyses, drafted and revised the manuscript. T-MW, Y-CH and C-TH conceptualised the study and reviewed the manuscript. Y-HL carried out the statistical analyses and reviewed the manuscript. M-CL conceptualised the study, supervised data collection, carried out analyses, reviewed the manuscript and coordinated the study. M-CL is responsible for the overall content as guarantor. The guarantor accepts full responsibility for the finished work and the conduct of the study, had access to the data, and controlled the decision to publish.

  • Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests: None declared.

  • Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

  • Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement

Data may be obtained from a third party and are not publicly available. The data belong to Taiwan Premature Infant Follow-up Network and not publicly available.

Ethics statements

Patient consent for publication:
Ethics approval:

This study involves human participants and was approved by Institutional Review Board of Taichung Veterans General Hospital (ID: CE22352B) and the requirement for informed consent was waived.

Acknowledgements

The authors thank all parents and infants who participated in this study and all TPFN team members in charge of data collection. We are particularly grateful to Premature Baby Foundation of Taiwan for the support to Taiwan Premature Infant Follow-up Network and for the contribution to the well-being of premature infants in Taiwan.

  1. close Kim SY, Yeniova AÖ. Global, regional, and national incidence and mortality of COVID-19 in 237 countries and territories, January 2022: a systematic analysis for world health organization COVID-19 dashboard. Life Cycle 2022; 2:2.
    doi:10.54724/lc.2022.e10Google Scholar
  2. close Liu L-T, Tsai J-J, Chang K, et al. Identification and analysis of SARS-CoV-2 alpha variants in the largest Taiwan COVID-19 outbreak in 2021. Front Med (Lausanne) 2022; 9.
    doi:10.3389/fmed.2022.869818Google Scholar
  3. close Lai CC, Lee PI, Hsueh PR, et al. How Taiwan has responded to COVID-19 and how COVID-19 has affected Taiwan, 2020-2022. J Microbiol Immunol Infect 2023; 56:433–41.
    doi:10.1016/j.jmii.2023.04.001Google Scholar
  4. close Liu S-F, Chang H-C, Liu J-F, et al. Kuo HC: how did the COVID-19 pandemic affect population mobility in Taiwan. Int J Environ Res Public Health 2022; 19:17.
    doi:10.3390/ijerph191710559Google Scholar
  5. close Lax ES, Novak SA, Webster GD, et al. Maternal functioning and psychological distress during the COVID-19 pandemic. J Womens Health (Larchmt) 2023; 32:138–49.
    doi:10.1089/jwh.2021.0588Google Scholar
  6. close Patrick SW, Henkhaus LE, Zickafoose JS, et al. Well-being of parents and children during the COVID-19 pandemic: a national survey. Pediatrics 2020; 146.
    doi:10.1542/peds.2020-016824Google Scholar
  7. close Moore SA, Faulkner G, Rhodes RE, et al. Impact of the COVID-19 virus outbreak on movement and play behaviours of Canadian children and youth: a national survey. Int J Behav Nutr Phys Act 2020; 17.
    doi:10.1186/s12966-020-00987-8Google Scholar
  8. close Reed D, Wolfe I, Greenwood J, et al. Accessing healthcare during the COVID-19 pandemic: a qualitative exploration of the experiences of parents and carers of children with chronic illness to inform future policies in times of crisis. BMC Health Serv Res 2023; 23.
    doi:10.1186/s12913-023-09452-1Google Scholar
  9. close McLoone J, Wakefield CE, Marshall GM, et al. It’s made a really hard situation even more difficult: the impact of COVID-19 on families of children with chronic illness. PLoS One 2022; 17.
    doi:10.1371/journal.pone.0273622Google Scholar
  10. close Lipkin PH, Council on Children With Disabilities, Section on Developmental and Behavioral Pediatrics. Promoting optimal development: identifying infants and young children with developmental disorders through developmental surveillance and screening. Pediatrics 2020; 145.
    doi:10.1542/peds.2019-3449Google Scholar
  11. close Huang P, Zhou F, Guo Y, et al. Association between the COVID-19 pandemic and infant neurodevelopment: a comparison before and during COVID-19. Front Pediatr 2021; 9:662165.
    doi:10.3389/fped.2021.662165Google Scholar
  12. close Shuffrey LC, Firestein MR, Kyle MH, et al. Association of birth during the COVID-19 pandemic with neurodevelopmental status at 6 months in infants with and without in utero exposure to maternal SARS-Cov-2 infection. JAMA Pediatr 2022; 176.
    doi:10.1001/jamapediatrics.2021.5563Google Scholar
  13. close Hessami K, Norooznezhad AH, Monteiro S, et al. COVID-19 pandemic and infant neurodevelopmental impairment: a systematic review and meta-analysis. JAMA Netw Open 2022; 5.
    doi:10.1001/jamanetworkopen.2022.38941Google Scholar
  14. close Imboden A, Sobczak BK, Griffin V, et al. The impact of the COVID-19 pandemic on infant and toddler development. J Am Assoc Nurse Pract 2021; 34:509–19.
    doi:10.1097/JXX.0000000000000653Google Scholar
  15. close Lau M, Kraus V, Schulze AF, et al. Observational study on the neonatal outcome during the COVID-19 pandemic in Germany. Acta Paediatr 2023; 112:1892–7.
    doi:10.1111/apa.16873Google Scholar
  16. close Del Rosario C, Slevin M, Molloy EJ, et al. How to use the Bayley scales of infant and toddler development. Arch Dis Child Educ Pract Ed 2021; 106:108–12.
    doi:10.1136/archdischild-2020-319063Google Scholar
  17. close Li SJ, Tsao PN, Tu YK, et al. Cognitive and motor development in preterm children from 6 to 36 months of age: trajectories, risk factors and predictability. Early Human Development 2022; 172:105634.
    doi:10.1016/j.earlhumdev.2022.105634Google Scholar
  18. close Parenti I, Rabaneda LG, Schoen H, et al. Neurodevelopmental disorders: from genetics to functional pathways. Trends Neurosci 2020; 43:608–21.
    doi:10.1016/j.tins.2020.05.004Google Scholar
  19. close Goodman JH. Perinatal depression and infant mental health. Arch Psychiatr Nurs 2019; 33:217–24.
    doi:10.1016/j.apnu.2019.01.010Google Scholar
  20. close Kingston D, McDonald S, Austin MP, et al. Association between prenatal and postnatal psychological distress and toddler cognitive development: a systematic review. PLoS One 2015; 10.
    doi:10.1371/journal.pone.0126929Google Scholar
  21. close Jarjour IT. Neurodevelopmental outcome after extreme Prematurity: a review of the literature. Pediatr Neurol 2015; 52:143–52.
    doi:10.1016/j.pediatrneurol.2014.10.027Google Scholar
  22. close Pierrat V, Marchand-Martin L, Arnaud C, et al. Neurodevelopmental outcome at 2 years for Preterm children born at 22 to 34 weeks' gestation in France in 2011: EPIPAGE-2 cohort study. BMJ 2017; 358.
    doi:10.1136/bmj.j3448Google Scholar
  23. close Mwaniki MK, Atieno M, Lawn JE, et al. Long-term neurodevelopmental outcomes after intrauterine and neonatal insults: a systematic review. Lancet 2012; 379:445–52.
    doi:10.1016/S0140-6736(11)61577-8Google Scholar
  24. close Hodyl NA, Aboustate N, Bianco-Miotto E, et al. Child neurodevelopmental outcomes following preterm and term birth: what can the placenta tell us. Placenta 2017; 57:79–86.
    doi:10.1016/j.placenta.2017.06.009Google Scholar
  25. close Bangma JT, Hartwell H, Santos HP, et al. Placental programming, perinatal inflammation, and neurodevelopment impairment among those born extremely preterm. Pediatr Res 2021; 89:326–35.
    doi:10.1038/s41390-020-01236-1Google Scholar
  26. close Panceri C, Valentini NC, Silveira RC, et al. Neonatal adverse outcomes, neonatal birth risks, and socioeconomic status: combined influence on preterm infants' cognitive. J Child Neurol 2020; 35:989–98.
    doi:10.1177/0883073820946206Google Scholar
  27. close Ursache A, Noble KG. Neurocognitive development in socioeconomic context: multiple mechanisms and implications for measuring socioeconomic status. Psychophysiology 2016; 53:71–82.
    doi:10.1111/psyp.12547Google Scholar
  28. close Voss W, Jungmann T, Wachtendorf M, et al. Long-term cognitive outcomes of extremely low-birth-weight infants: the influence of the maternal educational background. Acta Paediatr 2012; 101:569–73.
    doi:10.1111/j.1651-2227.2012.02601.xGoogle Scholar
  29. close Edlow AG, Li JZ, Collier A-RY, et al. Assessment of maternal and neonatal SARS-CoV-2 viral load, transplacental antibody transfer, and placental pathology in pregnancies during the COVID-19 pandemic. JAMA Netw Open 2020; 3.
    doi:10.1001/jamanetworkopen.2020.30455Google Scholar
  30. close Hessami K, Aagaard KM, Castro EC, et al. Placental vascular and inflammatory findings from pregnancies diagnosed with coronavirus disease 2019: a systematic review and meta-analysis. Am J Perinatol 2022; 39:1643–53.
    doi:10.1055/a-1787-7933Google Scholar
  31. close Hui DLH, Ng MK. Politics and the management of public health disasters: reflections on the SARS epidemic in greater China. Asia Pac J Public Health 2007; 19 Spec No:7–12.
    doi:10.1177/101053950701901S02Google Scholar
  32. close Chen KT, Twu SJ, Chang HL, et al. SARS in Taiwan: an overview and lessons learned. Int J Infect Dis 2005; 9:77–85.
    doi:10.1016/j.ijid.2004.04.015Google Scholar
  33. close Yen M-Y, Chiu A-H, Schwartz J, et al. From SARS in 2003 to H1N1 in 2009: lessons learned from Taiwan in preparation for the next pandemic. J Hosp Infect 2014; 87:185–93.
    doi:10.1016/j.jhin.2014.05.005Google Scholar
  34. close Yen M-Y, Yen Y-F, Chen S-Y, et al. Learning from the past: Taiwan’s responses to COVID-19 versus SARS. Int J Infect Dis 2021; 110:469–78.
    doi:10.1016/j.ijid.2021.06.002Google Scholar
  35. close Kao C, Wang YY, Ho TC, et al. The impact of COVID-19 on the productivity of large companies in Taiwan. Asia Pacific Management Review 2023; 28:501–9.
    doi:10.1016/j.apmrv.2023.02.004Google Scholar
  36. close Feng P. Policy measures and monetary policy on the economic growth of Taiwan in post COVID-19. International Journal of Business Marketing and Management (IJBMM) 2022; 7:20–5.
    Google Scholar
  37. close Kukreti S, Padmalatha S, Fu SH, et al. Response to the COVID-19 pandemic in Taiwan, Global Perspectives of COVID-19 Pandemic on Health, Education, and Role of Media. Singapore, Springer Nature 2023;
    Google Scholar
  38. close Silveira PP, Portella AK, Goldani MZ, et al. Developmental origins of health and disease (DOHaD). J Pediatr (Rio J) 2007; 83:494–504.
    doi:10.2223/JPED.1728Google Scholar
  39. close Aiken CE, Ozanne SE. Transgenerational developmental programming. Hum Reprod Update 2014; 20:63–75.
    doi:10.1093/humupd/dmt043Google Scholar

  • Received: 3 January 2024
  • Accepted: 5 May 2024
  • First Published: 31 May 2024

  NODES
Association 3
INTERN 2
Note 5
Project 1