Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar

BMJ Global Health

Published On 2023/7/1

IntroductionWe report on the stillbirth rate (SBR) and associated risk factors for births during the COVID-19 pandemic, and change in SBR between prepandemic (2016) and pandemic periods in the Indian state of Bihar.MethodsBirths between July 2020 and June 2021 (91.5% participation) representative of Bihar were listed. Stillbirth was defined as fetal death with gestation period of ≥7 months where the fetus did not show any sign of life. Detailed interviews were conducted for all stillbirths and neonatal deaths, and for 25% random sample of surviving live births. We estimated overall SBR, and during COVID-19 peak and non-peak periods per 1000 births. Multiple logistic regression models were run to assess risk factors for stillbirth. The change in SBR for Bihar from 2016 to 2020–2021 was estimated.ResultsWe identified 582 stillbirths in 30 412 births with an estimated SBR of 19.1 per 1000 births (95% CI 17.7 …

Journal

BMJ Global Health

Volume

8

Issue

7

Page

e013021

Authors

Lalit Dandona

Lalit Dandona

University of Washington

H-Index

135

Research Interests

University Profile Page

Other Articles from authors

Lalit Dandona

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Lalit Dandona

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University of Washington

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Lalit Dandona

Lalit Dandona

University of Washington

Allergy

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Lalit Dandona

Lalit Dandona

University of Washington

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Lalit Dandona

Lalit Dandona

University of Washington

Lancet

The unfinished agenda of communicable diseases among children and adolescents before the COVID-19 pandemic, 1990-2019: A systematic analysis of the Global Burden of Disease …

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University of Washington

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University of Washington

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2023/11/28

Article Details
Lalit Dandona

Lalit Dandona

University of Washington

The Lancet Neurology

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University of Washington

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Lalit Dandona

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University of Washington

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Lalit Dandona

Lalit Dandona

University of Washington

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Lalit Dandona

Lalit Dandona

University of Washington

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Lalit Dandona

Lalit Dandona

University of Washington

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Lalit Dandona

Lalit Dandona

University of Washington

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BMJ Global Health

Towards a better understanding of real-world home-visiting programs: a large-scale effectiveness study of parenting mechanisms in Brazil

BackgroundThe scale-up of parenting programmes to support early childhood development (ECD) is poorly understood. Little is known about how and when early interventions are most effective. Sustainability of ECD programming requires a better understanding of the mechanisms of real-world interventions. We examined the effects on caregiving practices of Primeira Infância Melhor (PIM), a state-wide home-visiting programme in Brazil.MethodsThis propensity score matched, longitudinal, quasiexperimental study uses data from the 2015 Pelotas Birth Cohort. We matched children who received PIM at any age with other cohort children on 25 key covariates. Sensitivity, guidance and responsiveness were assessed using video-recorded play tasks. Coerciveness and the parent–child relationship were assessed using the Parenting and Family Adjustment Scales. All parenting outcomes were examined at age 4 …

Marco Angrisani

Marco Angrisani

University of Southern California

BMJ Global Health

Trajectories and correlates of poor mental health in India over the course of the COVID-19 pandemic: a nationwide survey

IntroductionThe COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over 2 years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context.MethodsWe used data from the Real-Time Insights of COVID-19 in India cohort study (N=3709). We used covariate-adjusted linear regression models with generalised estimating equations to assess associations between mental health (Patient Health Questionnaire (PHQ-4) score; range 0–12) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender and rural …

Reshma Kassanjee

Reshma Kassanjee

University of Cape Town

BMJ Global Health

A model-based approach to estimating the prevalence of disease combinations in South Africa

BackgroundThe development of strategies to better detect and manage patients with multiple long-term conditions requires estimates of the most prevalent condition combinations. However, standard meta-analysis tools are not well suited to synthesising heterogeneous multimorbidity data.MethodsWe developed a statistical model to synthesise data on associations between diseases and nationally representative prevalence estimates and applied the model to South Africa. Published and unpublished data were reviewed, and meta-regression analysis was conducted to assess pairwise associations between 10 conditions: arthritis, asthma, chronic obstructive pulmonary disease (COPD), depression, diabetes, HIV, hypertension, ischaemic heart disease (IHD), stroke and tuberculosis. The national prevalence of each condition in individuals aged 15 and older was then independently estimated, and these estimates …

Sandra Adele

Sandra Adele

University of Oxford

BMJ Global Health

Informing the pandemic response: the role of the WHO’s COVID-19 Weekly Epidemiological Update

On 31 December 2019, the Municipal Health Commission of Wuhan, China, reported a cluster of atypical pneumonia cases. On 5 January 2020, the WHO publicly released a Disease Outbreak News (DON) report, providing information about the pneumonia cases, implemented response interventions, and WHO’s risk assessment and advice on public health and social measures. Following 9 additional DON reports and 209 daily situation reports, on 17 August 2020, WHO published the first edition of the COVID-19 Weekly Epidemiological Update (WEU). On 1 September 2023, the 158th edition of the WEU was published on WHO’s website, marking its final issue. Since then, the WEU has been replaced by comprehensive global epidemiological updates on COVID-19 released every 4 weeks. During the span of its publication, the webpage that hosts the WEU and the COVID-19 Operational Updates was accessed …

Julius Fobil

Julius Fobil

University of Ghana

BMJ Global Health

Maintaining essential health services during COVID-19 in Ghana: a qualitative study

Introduction Evidence suggests that non-pharmaceutical interventions such as lockdown policies, restriction of movement and physical distancing to control the novel COVID-19 contributed to the decline in utilisation of essential health services. We explored healthcare providers’ and policy-makers’ experiences of the barriers, interventions and response actions that contributed to ensuring the continuity of essential health services during the COVID-19 pandemic in Ghana to help inform future practice and policy.Methods We used a qualitative study approach. Data were analysed using thematic analysis. Thirty Four participants composed of 20 healthcare providers and 14 policy-makers who worked across regions with low and high recorded COVID-19 cases in Ghana during the COVID-19 pandemic were involved in this study.Results Participants reported that essential health services including maternal …

Stracci F.

Stracci F.

Università degli Studi di Perugia

BMJ Global Health

Magnitude and determinants of excess total, age-specific and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID …

IntroductionTo examine the impact of the COVID-19 pandemic on mortality, we estimated excess all-cause mortality in 24 countries for 2020 and 2021, overall and stratified by sex and age.MethodsTotal, age-specific and sex-specific weekly all-cause mortality was collected for 2015–2021 and excess mortality for 2020 and 2021 was calculated by comparing weekly 2020 and 2021 age-standardised mortality rates against expected mortality, estimated based on historical data (2015–2019), accounting for seasonality, and long-term and short-term trends. Age-specific weekly excess mortality was similarly calculated using crude mortality rates. The association of country and pandemic-related variables with excess mortality was investigated using simple and multilevel regression models.ResultsExcess cumulative mortality for both 2020 and 2021 was found in Austria, Brazil, Belgium, Cyprus, England and Wales …

Diego F Cuadros

Diego F Cuadros

University of Cincinnati

BMJ Global Health

Convergence of HIV and non-communicable disease epidemics: geospatial mapping of the unmet health needs in an HIV hyperendemic community in South Africa

IntroductionAs people living with HIV (PLHIV) are experiencing longer survival, the co-occurrence of HIV and non-communicable diseases has become a public health priority. In response to this emerging challenge, we aimed to characterise the spatial structure of convergence of chronic health conditions in an HIV hyperendemic community in KwaZulu-Natal, South Africa.MethodsIn this cross-sectional study, we used data from a comprehensive population-based disease survey conducted in KwaZulu-Natal, South Africa, which collected data on HIV, diabetes and hypertension. We implemented a novel health needs scale to categorise participants as: diagnosed and well-controlled (Needs Score 1), diagnosed and suboptimally controlled (Score 2), diagnosed but not engaged in care (Score 3) or undiagnosed and uncontrolled (Score 4). Scores 2–4 were indicative of unmet health needs. We explored the …

Maha Farhat

Maha Farhat

Harvard University

BMJ Global Health

Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning

BackgroundGlobal tuberculosis (TB) drug resistance (DR) surveillance focuses on rifampicin. We examined the potential of public and surveillance Mycobacterium tuberculosis (Mtb) whole-genome sequencing (WGS) data, to generate expanded country-level resistance prevalence estimates (antibiograms) using in silico resistance prediction.MethodsWe curated and quality-controlled Mtb WGS data. We used a validated random forest model to predict phenotypic resistance to 12 drugs and bias-corrected for model performance, outbreak sampling and rifampicin resistance oversampling. Validation leveraged a national DR survey conducted in South Africa.ResultsMtb isolates from 29 countries (n=19 149) met sequence quality criteria. Global marginal genotypic resistance among mono-resistant TB estimates overlapped with the South African DR survey, except for isoniazid, ethionamide and second-line …