Using SNSs for early detection of disease outbreak in developing countries: evidence from COVID-19 pandemic in Nigeria

Navigating shadows: the lived experiences of sexual minorities in Nigeria

Empirical studies indicate a growing recognition and acceptance of LGBT+ people in Nigeria, particularly in popular culture. This is occurring despite the passing of the Same-Sex Marriage Prohibition Act (SSMPA) and the widespread promulgation of homophobic attitudes entrenched in cultural and religious beliefs. This study explores the lived experiences of LGBT+ community members in Nigeria amid shifting societal realities. The complex social, cultural, religious, institutional, and legal factors that shape LGBT+ experiences in Nigeria are critically discussed. Adopting a phenomenological lens, forty participants who identified themselves as LGBT+ across various age groups, ethnicities, and religious affiliations were recruited via two-stage sampling. Study findings reveal that LGBT+ experiences in Nigeria vary between generations. Older participants in this study recalled periods of heightened stigma and suppression. In contrast, younger participants reported a more supportive network that has led to increasing openness about their sexuality and sexual orientation. Nonetheless, discrimination remains prevalent, often reinforced by misinformation. Narratives from participants reveal that while persecution fears persist, social media platforms have emerged as safe spaces for community building, welfare, and information sharing among LGBT+ community members in Nigeria.

Monkey pox: Rethinking COVID-19 to project future strategies against emerging and evolving pathogens

COVID-19 Monkey pox, days like these need planning.

A probabilistic approach toward evaluation of Internet rumor on COVID

Several people around the world have died from the coronavirus (COVID-19) disease. With the increase in COVID-19 cases, distribution, and deaths, much has occurred regarding the ban on travel, border closure, curfews, and the disturbance in the supply of services and goods. The world economy was severely affected by the spread of the virus. Every day, new discussions and debates started, and more people were in fear. Occasionally, unconfirmed information is shared on social media sites as if it were accurate information. Sometimes, it becomes viral and disturbs people's emotions and beliefs. Fake news and rumors are widespread forms of unconfirmed and false information. This type of news should be tracked speedily to prevent its negative impact on society. An ideal system is the dire need of modern-day society to evaluate the Internet rumors on COVID. Therefore, the current study has considered a probabilistic approach for evaluating the Internet rumors about COVID. The fuzzy logic tool in MATLAB was used for experimental and simulation purposes. The results revealed the effectiveness of the proposed work.