ABSTRACT
Background: The incidence of maternal morbidity and mortality gets reduced if antenatal care (ANC) is provided since it focuses on providing birth preparedness, good health maintenance measures, and awareness regarding pregnancy complications as well as danger signs. Methodology: The present study was conducted in the selected 10 villages in the Bahadarbad block of Haridwar (Uttarakhand). 479 out of 580 pregnant women (who had visited Antenatal Health Camps), responded to the questionnaire thus, leading to a response rate of 82.8%. Most respondents, i.e. 96% (n=461), were 21–30 years old. Result: Out of 461 pregnant women, only 45% visited Antenatal Health Camps and 58% were found anemic. The study also indicated that of the pregnant women who visited Antenatal Health Camps during this period, more than 72% of women gave their previous birth in less than two years. Only 15% of women obtained complete ANC (4 Visits) during the study period, just half of the previous year’s coverage (31%) for the same duration. The study found that home deliveries increased significantly during the lockdown period. From April to June 2020, the percentage of home deliveries was 41% while from July to December 2020 it was 24%. Conclusion: The study suggested reduced utilization of ANC services during the pandemic and significant factors were women’s age, residence, educational status, repurposing of maternity healthcare services, fear of COVID-19 transmission, and transportation disruptions. Thus, efforts should be taken to enhance maternal health services.
ABSTRACT
The continuing new Coronavirus (COVID-19) pandemic has caused millions of infections and thousands of fatalities globally. Identification of potential infection cases and the rate of virus propagation is crucial for early healthcare service planning to prevent fatalities. The research community is faced with the analytical and difficult real-world task of accurately predicting the spread of COVID-19. We obtained COVID-19 temporal data from District Surveillance Officer IDSP, Dehradun cum District Nodal Officer- Covid-19 under CMO, Department of Medical Health and Family Welfare, Government of Uttarakhand State, India, for the period, March 17, 2020, to May 6, 2022, and applied single exponential method forecasting model to estimate the COVID-19 outbreak's future course. The root relative squared error, root mean square error, mean absolute percentage error, and mean absolute error were used to assess the model's effectiveness. According to our prediction, 5438 people are subjected to hospitalization by September 2022, assuming that COVID cases will increase in the future and take on a lethal variety, as was the case with the second wave. The outcomes of the forecasting can be utilized by the government to devise strategies to stop the virus's spread.