Analysis of the different interventions scenario for programmatic measles control in Bangladesh: A modelling study

Socio-demographic factors affecting the first and second dose of measles vaccination status among under-five children: Perspectives from South Asian countries

Background

The measles vaccine is crucial in preventing fatalities and reducing widespread childhood infections worldwide, yet achieving the desired immunization rates remains a challenge in developing countries. Our study aims to identify the impact of socio-demographic factors on measles vaccination among children in South Asian countries.

Methods

Participants (89513) were taken from the most recent Demographic and Health Survey (DHS) datasets of South Asian countries between 2015 and 2021. Descriptive statistics and multivariable analyses were employed to find out the factors associated with measles vaccination among South Asian countries.

Results

Our study found that the first dose of vaccinated children was 51.7 % in Afghanistan which is the lowest among South Asian countries. The key determinants related to two doses of measles vaccination include parental characteristics, media access, and antenatal care (ANC). Mothers who had done baby postnatal checkups (AOR = 1.22, CI = 1.17-1.26) and made more than four ANC (AOR = 1.77, CI: 1.65-1.89) were more likely to fully immunize their child than mothers with no postnatal and antenatal checkups.

Conclusion

The complete dose of measles vaccination rate in South Asia is still low compared to the first dose of measles vaccination among children. The government and stakeholders should organize frequent awareness programs through media and health personnel to inform people about routine vaccinations to eliminate measles.

Cost-effectiveness analysis of COVID-19 intervention policies using a mathematical model: an optimal control approach

COVID-19 is an infectious disease that causes millions of deaths worldwide, and it is the principal leading cause of morbidity and mortality in all nations. Although the governments of developed and developing countries are enforcing their universal control strategies, more precise and cost-effective single or combination interventions are required to control COVID-19 outbreaks. Using proper optimal control strategies with appropriate cost-effectiveness analysis is important to simulate, examine, and forecast the COVID-19 transmission phase. In this study, we developed a COVID-19 mathematical model and considered two important features including direct link between vaccination and latently population, and practical healthcare cost by separation of infections into Mild and Critical cases. We derived basic reproduction numbers and performed mesh and contour plots to explore the impact of different parameters on COVID-19 dynamics. Our model fitted and calibrated with number of cases of the COVID-19 data in Bangladesh as a case study to determine the optimal combinations of interventions for particular scenarios. We evaluated the cost-effectiveness of varying single and combinations of three intervention strategies, including transmission control, treatment, and vaccination, all within the optimal control framework of the single-intervention policies; enhanced transmission control is the most cost-effective and prompt in declining the COVID-19 cases in Bangladesh. Our finding recommends that a three-intervention strategy that integrates transmission control, treatment, and vaccination is the most cost-effective compared to single and double intervention techniques and potentially reduce the overall infections. Other policies can be implemented to control COVID-19 depending on the accessibility of funds and policymakers' judgments.