Natural Language Processing-Powered Real-Time Monitoring Solution for Vaccine Sentiments and Hesitancy on Social Media: System Development and Validation.

BACKGROUND: Vaccines serve as a crucial public health tool, although vaccine hesitancy continues to pose a significant threat to full vaccine uptake and, consequently, community health. Understanding and tracking vaccine hesitancy is essential for effective public health interventions; however, traditional survey methods present various limitations. OBJECTIVE: This study aimed to create a real-time, natural language processing (NLP)-based tool to assess vaccine sentiment and hesitancy across 3 prominent social media platforms. METHODS: We mined and curated discussions in English from Twitter (subsequently rebranded as X), Reddit, and YouTube social media platforms posted between January 1, 2011, and October 31, 2021, concerning human papillomavirus; measles, mumps, and rubella; and unspecified vaccines. We tested multiple NLP algorithms to classify vaccine sentiment into positive, neutral, or negative and to classify vaccine hesitancy using the World Health Organization's (WHO) 3Cs (confidence, complacency, and convenience) hesitancy model, conceptualizing an online dashboard to illustrate and contextualize trends. RESULTS: We compiled over 86 million discussions. Our top-performing NLP models displayed accuracies ranging from 0.51 to 0.78 for sentiment classification and from 0.69 to 0.91 for hesitancy classification. Explorative analysis on our platform highlighted variations in online activity about vaccine sentiment and hesitancy, suggesting unique patterns for different vaccines. CONCLUSIONS: Our innovative system performs real-time analysis of sentiment and hesitancy on 3 vaccine topics across major social networks, providing crucial trend insights to assist campaigns aimed at enhancing vaccine uptake and public health.

Access to cardiovascular medicines in low- and middle-income countries: a mini review.

BACKGROUND: Many cardiovascular (CV) medicines are required for long term. However, with their limited resources, low- and middle-income countries (LMICs) may have challenges with access to cardiovascular medicines. The aim of this review was to provide a summary of available evidence on access to cardiovascular medicines in LMICs. METHODS: We searched PubMed and Google scholar for English language articles on access to cardiovascular medicines for the period 2010-2022. We also searched for articles reporting measures for challenges in access to CV medicines from 2007 to 2022. Studies conducted in LMICs, and reporting availability and affordability were included for review. We also reviewed studies reporting affordability or availability using the World Health Organisation/Health Action International (WHO/HAI) method. Levels of affordability and availability were compared. RESULTS: Eleven articles met the inclusion criteria for review on availability and affordability. Although availability appears to have improved, many countries did not meet the availability target of 80%. Between economies and within countries, there are equity gaps in access to CV medicines. Availability is lower in public health facilities than private facilities. Seven out of 11 studies reported availability less than 80%. Eight studies which investigated availability in the public sector reported less than 80% availability. Overall, CV medicines, especially combined treatments are not affordable in the majority of countries. Simultaneous achievement of availability and affordability target is low. In the studies reviewed, less than 1-53.5 days wages were required to purchase one month supply of CV medicines. Failure to meet affordability was 9-75%. Five studies showed that, on average 1.6 days' wages of the Lowest-Paid Government Worker (LPGW) was required to purchase generic CV medicines in the public sector. Efficient forecasting and procurement, increased public financing and policies to improve generic use, among others are measures for improving availability and affordability. CONCLUSIONS: Significant gaps exist in access to cardiovascular medicines in LMICs, and in many low-and lower middle-income countries access to cardiovascular medicines is low. To improve access and achieve the Global Action Plan on non-communicable diseases in these countries, policy interventions must be urgently instituted.

Blood pressure-lowering medication prescribing, its adherence to guidelines and relationship with blood pressure control at a family medicine department.

Background: In many resource-constrained countries, control of blood pressure (BP) is low. Antihypertensive drug prescribing practices may influence BP control. However, adherence of prescribing to treatment guidelines may not be optimal in resource-constrained settings. The aim of this study was to evaluate the pattern of blood pressure-lowering medication prescribing, and how it adheres to treatment guidelines, and to identify the relationship between medication prescriptions and BP control. Methods: It was a cross-sectional study of hypertensive outpatients at the Korle Bu Teaching Hospital (KBTH) Family Medicine department (FMD)/Polyclinic. Data was collected with a validated structured form. Adherence of "prescribing" to recommendations of the 2017 Standard Treatment Guidelines of Ghana and 2018 European Society of Cardiology guidelines was assessed using a composite measure. We analyzed data with SPSS. Results: About 81% (247/304) of patients received two or more antihypertensive drugs. Most patients (41%; 267/651) received calcium channel blockers (CCB), and 21.8% (142/651), 15.7% (102/651) and 12.7% (83/651) were on diuretics, angiotensin-receptor blockers (ARBs) and angiotensin converting enzyme (ACE) inhibitors respectively. CCB plus RAS inhibitor (50%) was the most prescribed two-drug combination. Number of BP drugs per patient had a statistically significant inverse relationship with BP control (beta Coefficient = -0.402; 95% Cl: 1.252-2.470; p = 0.015). The composite adherence score was 0.73 (moderate adherence) but Single-pill combination (SPC) was poor (3.2%; n = 8). Conclusion: Most patients received multiple-pill combination treatment, and overall adherence to guidelines was suboptimal, largely owing to complex drug therapy. Number of drugs predicted BP control. Our findings suggest a need to prioritize simplified treatment, and implement other strategies to improve hypertension guideline adherence. Further research on the influence of SPC on BP control may inform future hypertension guidelines in Ghana and elsewhere in Africa.

West Africa's CO2 emissions: investigating the economic indicators, forecasting, and proposing pathways to reduce carbon emission levels.

This paper investigates the nexus between carbon emissions (CO2) and economic growth in West Africa based on the Environment Kuznets Curve (EKC) hypothesis by utilizing spatial panel data technique to check the possible effect of spatial dependence among countries in West Africa. Our empirical findings suggest the presence of spatial dependence of carbon emissions distribution in West Africa. By examining the existence of EKC embedded within the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) approach, we conclude an inverse N-trajectory of the relationship between carbon emissions and economic growth. Furthermore, to mitigate global carbon emissions, we utilize a recurrent neural network (RNN) bidirectional long short-term memory (BiLSTM) algorithm devoid of exogenous variables and assumptions to forecast carbon emissions from the year 2015 to the year 2030 based on the predictive accuracy of our formulated algorithm. Due to the upward trends in future emission levels, we propose emissions mitigation pathways for countries in West Africa to still hold carbon emissions-related global warming well below 1.5 and 2 °C. Such mitigation pathways proposed could help implement strategic policies to minimize carbon emissions to a considerable level. As a policy implication, drafting strict environmental regulations and utilizing renewable energy technologies will help mitigate carbon emissions for all West African countries.