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      COVID-19 Vaccine Decision-making among Pregnant and Lactating Women in Bangladesh

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          Abstract

          Pregnant and lactating women’s vaccine decision-making process is influenced by many factors. Pregnant women were at increased risk for severe disease and poor health outcomes from COVID-19 at various time points during the pandemic. COVID-19 vaccines have been found to be safe and protective during pregnancy and while breastfeeding. In this study, we sought to examine key factors that informed the decision-making process among pregnant and lactating women in Bangladesh. We conducted 24 in-depth interviews, with 12 pregnant and 12 lactating women. These women were from three communities in Bangladesh: one urban community, and two rural communities. We used a grounded theory approach to identify emerging themes and organized emerging themes using a socio-ecological model. The socio-ecological model suggests that individuals are influenced by many levels, including individual-level influences, interpersonal-level influences, health care system-level influences, and policy-level influences. We found key factors at each socio-ecological level that influenced the decision-making process of pregnant and lactating women, including perceived benefits of vaccines and vaccine safety (individual-level), the influence of husbands and peers (interpersonal-level), health care provider recommendations and vaccine eligibility (health care system-level), and vaccine mandates (policy-level). As vaccination can reduce the effect of COVID-19 disease in mothers, infants, and unborn children, targeting critical factors that inform the decision-making process is paramount for improving vaccine acceptance. We hope the results of this study will inform vaccine acceptance efforts to ensure that pregnant and lactating women take advantage of this life-saving intervention.

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          Most cited references18

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          Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis

          Abstract Objective To determine the clinical manifestations, risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed coronavirus disease 2019 (covid-19). Design Living systematic review and meta-analysis. Data sources Medline, Embase, Cochrane database, WHO COVID-19 database, China National Knowledge Infrastructure (CNKI), and Wanfang databases from 1 December 2019 to 26 June 2020, along with preprint servers, social media, and reference lists. Study selection Cohort studies reporting the rates, clinical manifestations (symptoms, laboratory and radiological findings), risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed covid-19. Data extraction At least two researchers independently extracted the data and assessed study quality. Random effects meta-analysis was performed, with estimates pooled as odds ratios and proportions with 95% confidence intervals. All analyses will be updated regularly. Results 77 studies were included. Overall, 10% (95% confidence interval 7% to14%; 28 studies, 11 432 women) of pregnant and recently pregnant women attending or admitted to hospital for any reason were diagnosed as having suspected or confirmed covid-19. The most common clinical manifestations of covid-19 in pregnancy were fever (40%) and cough (39%). Compared with non-pregnant women of reproductive age, pregnant and recently pregnant women with covid-19 were less likely to report symptoms of fever (odds ratio 0.43, 95% confidence interval 0.22 to 0.85; I2=74%; 5 studies; 80 521 women) and myalgia (0.48, 0.45 to 0.51; I2=0%; 3 studies; 80 409 women) and were more likely to need admission to an intensive care unit (1.62, 1.33 to 1.96; I2=0%) and invasive ventilation (1.88, 1.36 to 2.60; I2=0%; 4 studies, 91 606 women). 73 pregnant women (0.1%, 26 studies, 11 580 women) with confirmed covid-19 died from any cause. Increased maternal age (1.78, 1.25 to 2.55; I2=9%; 4 studies; 1058 women), high body mass index (2.38, 1.67 to 3.39; I2=0%; 3 studies; 877 women), chronic hypertension (2.0, 1.14 to 3.48; I2=0%; 2 studies; 858 women), and pre-existing diabetes (2.51, 1.31 to 4.80; I2=12%; 2 studies; 858 women) were associated with severe covid-19 in pregnancy. Pre-existing maternal comorbidity was a risk factor for admission to an intensive care unit (4.21, 1.06 to 16.72; I2=0%; 2 studies; 320 women) and invasive ventilation (4.48, 1.40 to 14.37; I2=0%; 2 studies; 313 women). Spontaneous preterm birth rate was 6% (95% confidence interval 3% to 9%; I2=55%; 10 studies; 870 women) in women with covid-19. The odds of any preterm birth (3.01, 95% confidence interval 1.16 to 7.85; I2=1%; 2 studies; 339 women) was high in pregnant women with covid-19 compared with those without the disease. A quarter of all neonates born to mothers with covid-19 were admitted to the neonatal unit (25%) and were at increased risk of admission (odds ratio 3.13, 95% confidence interval 2.05 to 4.78, I2=not estimable; 1 study, 1121 neonates) than those born to mothers without covid-19. Conclusion Pregnant and recently pregnant women are less likely to manifest covid-19 related symptoms of fever and myalgia than non-pregnant women of reproductive age and are potentially more likely to need intensive care treatment for covid-19. Pre-existing comorbidities, high maternal age, and high body mass index seem to be risk factors for severe covid-19. Preterm birth rates are high in pregnant women with covid-19 than in pregnant women without the disease. Systematic review registration PROSPERO CRD42020178076. Readers’ note This article is a living systematic review that will be updated to reflect emerging evidence. Updates may occur for up to two years from the date of original publication.
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            A global database of COVID-19 vaccinations

            An effective rollout of vaccinations against COVID-19 offers the most promising prospect of bringing the pandemic to an end. We present the Our World in Data COVID-19 vaccination dataset, a global public dataset that tracks the scale and rate of the vaccine rollout across the world. This dataset is updated regularly and includes data on the total number of vaccinations administered, first and second doses administered, daily vaccination rates and population-adjusted coverage for all countries for which data are available (169 countries as of 7 April 2021). It will be maintained as the global vaccination campaign continues to progress. This resource aids policymakers and researchers in understanding the rate of current and potential vaccine rollout; the interactions with non-vaccination policy responses; the potential impact of vaccinations on pandemic outcomes such as transmission, morbidity and mortality; and global inequalities in vaccine access.
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              Birth and Infant Outcomes Following Laboratory-Confirmed SARS-CoV-2 Infection in Pregnancy — SET-NET, 16 Jurisdictions, March 29–October 14, 2020

              On November 2, 2020, this report was posted online as an MMWR Early Release. Pregnant women with coronavirus disease 2019 (COVID-19) are at increased risk for severe illness and might be at risk for preterm birth ( 1 – 3 ). The full impact of infection with SARS-CoV-2, the virus that causes COVID-19, in pregnancy is unknown. Public health jurisdictions report information, including pregnancy status, on confirmed and probable COVID-19 cases to CDC through the National Notifiable Diseases Surveillance System.* Through the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET), 16 jurisdictions collected supplementary information on pregnancy and infant outcomes among 5,252 women with laboratory-confirmed SARS-CoV-2 infection reported during March 29–October 14, 2020. Among 3,912 live births with known gestational age, 12.9% were preterm ( 0.1) for all. † Inclusive of women reported as symptomatic on the COVID-19 case report form (https://www.cdc.gov/coronavirus/2019-ncov/php/reporting-pui.html) or who had any symptoms reported on the COVID-19 case report form regardless of completion of the symptom status variable. § Pregnancy outcomes include 79 sets of twins and one set of triplets; therefore, number exceeds the number of women. ¶ Among term (≥37 weeks) infants only, reason for admission could include need for isolation of an otherwise asymptomatic infant based on possible SARS-CoV-2 exposure. ** Includes congenital heart defects (seven), cleft lip and/or palate (four), chromosomal abnormalities (four), genitourinary (four), gastrointestinal (two), cerebral cysts (one), talipes equinovarus (one), developmental dysplasia of the hip (one), supernumerary digits (one) and five had no birth defects specified. Total exceeds 28 because some infants had multiple birth defects reported. Information on infant SARS-CoV-2 testing was reported from 13 jurisdictions; among 923 infants with information, 313 (33.9%) were not tested. Among 610 (21.3%) infants for whom molecular test results were reported, 16 (2.6%) results were positive (Table 3), including 14 for whom the timing of the mothers’ infection during pregnancy was reported. The percent positivity was 4.3% (14 of 328) among infants born to women with documentation of infection identified ≤14 days before delivery and 0% (0 of 84) among those born to women with documentation of infection identified >14 days before delivery. TABLE 3 Characteristics of laboratory-confirmed infection among infants born to pregnant women with laboratory-confirmed SARS-CoV-2 infection — SET-NET, 13* jurisdictions, March 29–October 14, 2020 Characteristic No. of infants (%)[Total no. of infants with available information] Total Not tested or missing data† RT-PCR positive results RT-PCR negative results N = 2,869 (100.0) N = 2,259 (78.7) N = 16 (0.6)§ N = 594 (20.7) Maternal symptom status [1,871] [1,475] [13] [383] Asymptomatic 231 (12.3) 127 (8.6) 4 (30.8) 100 (26.1) Symptomatic 1,640 (87.7) 1,348 (91.4) 9 (69.2) 283 (73.9) Timing of maternal infection¶ [1,851] [1,440] [14] [398] ≤7 days before delivery 740 (40.0) 456 (31.7) 11 (84.6) 273 (68.6) 8–10 days before delivery 77 (4.2) 56 (3.9) 1 (7.7) 20 (5.0) >10 days before delivery 1,034 (55.9) 928 (64.4) 1 (7.7) 105 (26.4) Median (IQR) days from mother’s first positive test to delivery 17 (2–53) 28 (3–63) 1 (0–4) 2 (0–12) Maximum days from mother’s first positive test to delivery 191 191 12 132 Gestational age at birth [2,692] [2,085] [16] [591] Term (≥37 wks) 2,349 (87.3) 1,849 (88.7) 8 (50) 492 (83.2) Late preterm (34–36 wks) 237 (8.8) 168 (8.1) 3 (18.8) 66 (11.2) Moderate to very preterm ( 14 days before delivery might have a lower risk of having test results positive to SARS-CoV-2. Pregnant women and their household members should follow recommended infection prevention measures, including wearing a mask, social distancing, and frequent handwashing when going out or interacting with others. In addition, pregnant women should continue measures to ensure their general health including staying up to date with annual influenza vaccination and continuing prenatal care appointments. Summary What is already known about this topic? Pregnant women with SARS-CoV-2 infection are at increased risk for severe illness compared with nonpregnant women. Adverse pregnancy outcomes such as preterm birth and pregnancy loss have been reported. What is added by this report? Among 3,912 infants with known gestational age born to women with SARS-CoV-2 infection, 12.9% were preterm (<37 weeks), higher than a national estimate of 10.2%. Among 610 (21.3%) infants with testing results, 2.6% had positive SARS-CoV-2 results, primarily those born to women with infection at delivery. What are the implications for public health practice? These findings can inform clinical practice, public health practice, and policy. It is important that providers counsel pregnant women on measures to prevent SARS-CoV-2 infection.
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                Author and article information

                Journal
                Vaccine
                Vaccine
                Vaccine
                Published by Elsevier Ltd.
                0264-410X
                1873-2518
                15 May 2023
                15 May 2023
                Affiliations
                [a ]Department of International Health, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA
                [b ]International Vaccine Access Center, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA
                [c ]Department of Health, Behavior & Society, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA
                [d ]Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
                [e ]Johns Hopkins School of Medicine, Baltimore, MD, USA
                [f ]JiVitA Project, Johns Hopkins University, Rangpur, Bangladesh
                Author notes
                [* ]Corresponding authors.
                Article
                S0264-410X(23)00551-0
                10.1016/j.vaccine.2023.05.024
                10183608
                37208208
                a93eae4f-88d3-49f7-b2dc-da4199a8b12d
                © 2023 Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 2 March 2023
                : 2 May 2023
                : 8 May 2023
                Categories
                Article

                Infectious disease & Microbiology
                vaccine,covid-19,pregnant women,bangladesh
                Infectious disease & Microbiology
                vaccine, covid-19, pregnant women, bangladesh

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