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1.
Vaccine ; 42(16): 3572-3577, 2024 Jun 11.
Article in English | MEDLINE | ID: mdl-38679512

ABSTRACT

BACKGROUND: The association between covid-19 vaccine and menstrual disturbance is unclear. METHODS: An in-person cross-sectional survey among female members ≥ 18 years enrolled in an ongoing Zero TB prospective cohort in Northern India who had received one or two doses of covid-19 vaccine was conducted to study the characteristics and association of menstrual disturbance within six months of receiving Covishield. RESULTS: Between June 29 and September 5, 2021, 339 females ≥ 18 years of age were administered the survey. Median age was 30 (IQR: 22-39) years; 84 % were between 18 and 49 and 16 % were ≥ 50 years old. There were 152 college students, 27 healthcare workers, and 160 nuns. Forty-two women (12 %) had received one dose and 297 (88 %) had received two doses of Covishield. Overall, 66 (20 %) women reported experiencing menstrual disturbance after receiving Covishield vaccine. The problems included early menstruation: 6 % (n = 19/339); late menstruation: 4 % (n = 14/339); and heavier bleeding: 5 % (n = 17/339). Disturbances lasted for less than seven days and cycles normalized in 1-3 months. There was no post-menopausal bleeding. There was no significant difference in menstrual disturbance based on receiving one vs. two doses of Covishield (OR: 1.58; 95 % CI: 0.55-4.57; p = 0.381). History of SARS-CoV-2 infection was not associated with the development of menstrual disturbance among the vaccinees (OR: 0.63; 95 % CI: 0.24-1.73; p = 0.379). Presence of emotional disturbance at baseline (OR: 31; 95 % CI: 3.52-267; p = 0.002) or previous history of dysmenorrhea (OR: 41; 95 % CI: 8.7-196; p < 0.001) was associated with menstrual disturbance in the vaccinees, indicating their potential to confound or bias study results. CONCLUSION: Menstrual problems were reported by Covishield vaccinees, but they were minor and reversible within three months and do not constitute a ground for vaccine hesitancy. Studies designed to assess causal link taking care to avoid selection bias or confounding are needed.


Subject(s)
COVID-19 Vaccines , COVID-19 , Menstruation Disturbances , Humans , Female , Cross-Sectional Studies , Adult , India/epidemiology , COVID-19 Vaccines/adverse effects , COVID-19 Vaccines/administration & dosage , Menstruation Disturbances/epidemiology , Young Adult , COVID-19/prevention & control , COVID-19/epidemiology , Middle Aged , Prospective Studies , SARS-CoV-2/immunology , Adolescent
2.
BMJ Glob Health ; 7(5)2022 05.
Article in English | MEDLINE | ID: mdl-35609920

ABSTRACT

OBJECTIVES: This study aimed to determine the effectiveness of Covishield vaccine among residents of congregate residential facilities. DESIGN: A prospective cohort study in congregate residential facilities. SETTING: Dharamshala, Himachal Pradesh, India, from December 2020 to July 2021. PARTICIPANTS: Residents of all ages in seven facilities-three monasteries, two old age homes and two learning centres-were enrolled. EXPOSURES: First and second doses of Covishield vaccine against SARS-CoV-2 infection. MAIN OUTCOMES MEASURES: Primary outcome was development of COVID-19. Secondary outcome was unfavourable outcomes, defined as a composite of shortness of breath, hospitalisation or death. Vaccine effectiveness (%) was calculated as (1-HR)×100. RESULTS: There were 1114 residents (median age 31 years) participating in the study, 82% males. Twenty-eight per cent (n=308/1114) were unvaccinated, 50% (n=554/1114) had received one dose and 23% (n=252/1114) had received two doses of Covishield. The point prevalence of COVID-19 for the facilities ranged from 11% to 57%. Incidence rates (95% CI) of COVID-19 were 76 (63 to 90)/1000 person-months in the unvaccinated, 25 (18 to 35)/1000 person-months in recipients of one dose and 9 (4 to 19)/1000 person-months in recipients of two doses. The effectiveness of first and second doses of Covishield were 71% (adjusted HR (aHR) 0.29; 95% CI 0.18 to 0.46; p<0.001) and 80% (aHR 0.20; 95% CI 0.09 to 0.44; p<0.001), respectively, against SARS-CoV-2 infection and 86% (aHR 0.24; 95% CI 0.07 to 0.82; p=0.023) and 99% (aHR 0.01; 95% CI 0.002 to 0.10; p<0.001), respectively, against unfavourable outcome. The effectiveness was higher after 14 days of receiving the first and second doses, 93% and 98%, respectively. Risk of infection was higher in persons with chronic hepatitis B (aHR 1.78; p=0.034) and previous history of tuberculosis (aHR 1.62; p=0.047). CONCLUSION: Covishield was effective in preventing SARS-CoV-2 infection and reducing disease severity in highly transmissible settings during the second wave of the pandemic driven by the Delta variant.


Subject(s)
COVID-19 , Adult , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , ChAdOx1 nCoV-19 , Cohort Studies , Female , Humans , Male , Prospective Studies , SARS-CoV-2
3.
Data Brief ; 29: 105321, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32181292

ABSTRACT

This article shares the comprehensive dataset and five visualized examples of disease categories in Tibetan medicine, or Sowa Rigpa (Tib. Gso ba rig pa), translated as the "knowledge field of healing." Sowa Rigpa is a scholarly Asian traditional medical system rigorously transmitted through canonical texts and oral teachings originating in Tibet with an extensive pharmacopeia, comprehensive treatment repertoire, and nuanced etiological explications of its nosology of diseases. This medical tradition is practiced across a broad region of Asia, particularly in Tibetan regions of China, Himalayan regions of India (Ladakh, Sikkim, Himachal Pradesh), Nepal, Bhutan, Mongolia, Russia, and recently in Europe and North America. The data herein depicts disease classifications listed in the encyclopedic compendium "Oral Instructions Treatise" (Man ngag rgyud) of the Tibetan medical classic, the Four Medical Treatises (Rgyud bzhi), compiled in written form during the twelfth century CE. Visualized examples depict etiological relations among diseases in five of the fifteen major categories of disease: rLung Illnesses, Béken Illneses, Pediatric Conditions, Eye Conditions and Tropical Infectious Diseases. Disease names were entered into spreadsheet format and categorized by etiological hierarchical structure. Data are written in Unicode Tibetan font to retain fidelity to entries in the classical text, with parallel columns in standard Wylie transliteration. Subsets of the data are visually depicted through a graphic platform called Interactive Tree of Life to demonstrate etiological associations. This dataset is the first publicly available enumeration of the specific diseases, classifications and etiological relationships from the Tibetan medical classic. The data are linked to the article entitled "Tibetan Medical Informatics: An Emerging Field in Sowa Rigpa Pharmacological & Clinical Research" (Dhondrup et al., 2020).

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