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1.
BMJ Open ; 12(3): e050039, 2022 03 17.
Article in English | MEDLINE | ID: mdl-35301200

ABSTRACT

INTRODUCTION: Pregnant women are at increased risk of contracting COVID-19 due to several factors and therefore require special attention. However, the consequences of the COVID-19 pandemic on pregnant women and their newborns remain uncharted. The PregCovid registry aims to document the impact of SARS-CoV-2 infection on pregnant, postpartum women and their newborns. The aim of the registry is also to determine mother-to-child transmission of SARS-CoV-2 infection in India. METHODS AND ANALYSIS: PregCovid is a hospital-based registry for capturing information of pregnant, postpartum women with COVID-19 and their newborns in India. Medical case records of pregnant and postpartum women with a laboratory-confirmed diagnosis of COVID-19 will be captured in real-time using an online electronic patient record software. The data analysis will be carried out for symptoms, the severity of COVID-19, pregnancy complications, maternal morbidity and mortality, neonatal complications, mother-to-child transmission, etc. Data analysis will be carried out for different waves of the COVID-19 pandemic for rapid response and developing strategies well in advance to manage pregnant women infected with SARS-CoV-2. The evidence generated from the registry will be regularly shared with the appropriate authorities for policy decisions. Thus, the registry data may be useful for planning the strategies for better management of pregnant women with COVID-19. ETHICS AND DISSEMINATION: The study has been approved by the Institutional Ethics Committees of all the participating study sites under the Medical Education and Drugs Department, Government of Maharashtra, Topiwala National Medical College & BYL Nair Charitable Hospital, Mumbai and ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, India. The results from this study will be disseminated with local, state, and national health authorities, collaborators and the general population on the study website (https://pregcovid.com) as well as dissemination through scientific meetings and publications. TRIAL REGISTRATION NUMBER: CTRI/2020/05/025423.


Subject(s)
COVID-19 , Pregnant Women , COVID-19/epidemiology , Female , Hospitals , Humans , India/epidemiology , Infant, Newborn , Infectious Disease Transmission, Vertical/prevention & control , Pandemics , Pregnancy , Prospective Studies , Registries , SARS-CoV-2
3.
Indian J Occup Environ Med ; 15(1): 29-32, 2011 Jan.
Article in English | MEDLINE | ID: mdl-21808498

ABSTRACT

BACKGROUND: Construction sector is a booming industry and involves many hazardous activities. Migrant labor in the industry is susceptible to various health and occupational hazards. In a unique public-private partnership project, a medical team from a public sector teaching hospital in Mumbai provided comprehensive on-site health care services to the construction workers of a private construction company. OBJECTIVE: To study socio-demographic profile and morbidity pattern of construction workers. SETTING AND DESIGN: A cross-sectional study at construction site Vidyavihar (West), Mumbai, was carried out over the period of May to November 2010. MATERIALS AND METHODS: A medical team provided comprehensive on-site health care services, and a Health Card was devised to maintain the record of socio-demographic, occupational details, and complete physical examination findings of the workers who participated in the study. STATISTICAL ANALYSIS USED: Statistical analysis was done using SPSS 15.0. RESULTS: Of the 1337 workers (all males) examined, 1289 (96.4%) belonged to 15-45 years age group. The mean age of the workers was 26.25 ± 8.49 years. A third of the migrants belonged to West Bengal. The average number of health problems in the workers was 1.41. Regular consumers of tobacco and alcohol were 50.48 and 14.65%, respectively. Nearly one-fifth of the workers had febrile illness, of which 20.71% had suspected malaria; 12.6% had respiratory infections, while 3.4% were found to have hypertension. There was a statistically significant association (P < 0.05) between type of occupation and morbidity status.

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