Background and Aims: Traditional medicines are one of Africa's primary response mechanisms to medical emergencies, while, in other communities, all healthcare decisions are based on indigenous traditions and beliefs. For millions of individuals who reside in rural areas throughout low‐ and middle‐income nations, those healers serve as their only primary healthcare practitioners. This study intends to examine the availability, preferences, and practices of traditional medicine seeking among the Sudanese of North Kordofan state.Method: A descriptive cross‐sectional study was carried out in two conveniently chosen localities in North Kordofan state, namely Barrah, and Shaikan. A structured questionnaire with three sections—sociodemographic, attitudes, and forms of traditional medical practices—was used for face‐to‐face interviews with the residents. The frequency (n) and percentage (%) of categorical data are presented. The Chi‐square and Fischer exact tests were performed to determine characteristics related to traditional medicine practice and the preferred type of medicine among participants; apvalue of.05 was considered significant.Results: A total of 302 residents took part in the study, with the 15–30 age group constituting the majority. The majority of participants (89.1%) used traditional medicine, and the majority of them (92.4%) learned about it from their families. The major type of traditional medicine (60.3%) used was a medical herbs–herb practitioner. Cultural influences (57%) and the effectiveness of traditional medicines (48.3%) were the most common reasons for seeking those medicines.Conclusion: Most participants seek traditional medicine, with traditional herbs and holy recitation commonly used. Affordability, therapeutic effectiveness, and cultural and religious influence were reasons for preferring traditional medicine.

Objectives This study aimed at better understanding the challenges imposed by Sudan 2023 military conflict on medical education through surveying students about their view of the current faced challenges and their future and academic plans. It as well investigated the effect of the war on their mental health status in terms of anxiety, depression and post-traumatic stress disorder (PTSD) and their associated factors. Design A multicentric observational cross-sectional design was adopted. Setting and participants Medical students of all Khartoum state governmental medical universities were invited to participate in an online survey. Primary and secondary outcomes measures Primary: prevalence of anxiety, depression and post-traumatic stress disorders (PTSDs) among medical students. Secondary: the associated factors that could impact these disorders, current status of medical education and students’ future career intentions. Results Of the 612 included students, 64.38% were females and 96.90% were single, with a median age of 21 years. Approximately 68% reported their schools had plans to continue education. The prevalence rates of 58.3%, 51.5% and 27.1% were found for depression, anxiety and PTSD, respectively. Increase in increased age (β=0.18, 95% CI: 0.04 to 0.32) and female gender (β=−2.3, 95% CI: −2.9 to –1.6) were linked to higher anxiety risk. Weekly conflict news checks (β=−0.89, 95% CI: −1.7 to –0.09) and religious habits (β=−1.3, 95% CI: −1.9 to –0.63) reduced anxiety. Age was associated with higher depression risk (β=0.14, 95% CI: 0.02 to 0.27), while internet stability (β=−1.3, 95% CI: −2.2 to –0.37), religious habits (β=−1.2, 95% CI: −1.8 to –0.53) and online education or reading (β=−1.0, 95% CI: −1.7 to –0.36) reduced it. Male gender lowered PTSD risk (β=−4.5, 95% CI: −7.2 to –1.7). Above-average pre-conflict financial status (β=3.3, 95% CI: 0.04 to 6.6), financial damage (β=3.6, 95% CI: 0.93 to 6.2), physical abuse (β=8.5, 95% CI: 3.1 to 14) and family member death (β=6.2, 95% CI: 0.38 to 12) were associated with higher PTSD risk. Conclusion Medical education is currently disrupted in Sudan due to war, with most of the universities having no clear plan to ease the situation. Medical students suffer from depression and anxiety, among other psychological stresses, with many of them considering transferring or dropping out from medical schools; the majority intend to leave Sudan after graduation.

The situation in Sudan have deteriorated since the ongoing war outbreak in April 2023. This article sheds light on the pharmacological status in Sudan in terms of shortage of supply, rising demands, and regulatory issues. The ongoing civil war has acutely impacted the dilapidated pharmaceutical status of Sudan, patients have suffered from the paucity of medical services forcing an out-of-control rise in underreported morbidity and mortality. To mitigate this uprising issue, an increase in stakeholder communication is crucial to deal with this national threat and establish a system for reporting the shortage.

The Sudan War 2023 is a military conflict that erupted in the heart of a paralyzed state system. A total of 68% of hospitals are presently closed, with the remainder operating just partially owing to a lack of staff, medical supplies, and pharmaceuticals. Furthermore, due to power outages, Sudan's vaccination and insulin stocks are under jeopardy. Additionally, patients with chronic conditions have difficulty receiving their prescriptions. This unaccounted‐for conflict is expected to degrade Sudan's already‐weak healthcare sector by the recent COVID‐19 pandemic and 2018 revolution. Humanitarian emergency care is being offered by numerous non‐for‐profit organizations and civilians initiatives; but, more measures, notably aimed at preventing political upheaval, are required to save the country's future.

Background and aims: Artificial intelligence (AI) has emerged as a rapidly developing tool within the medical landscape, globally aiding in diagnosis and healthcare management. However, its integration within healthcare systems remains varied across different regions. In Sudan, there exists a burgeoning interest in AI potential applications within medicine. This study aims to evaluate the knowledge, attitudes, and practices of AI applications in medicine among physicians in Sudan. Methods: The authors conducted a web-based survey cross-sectional analytical study using an online questionnaire-based survey regarding demographic details, knowledge, attitudes, and practice of AI distributing through various e-mail listings and social media platforms. A sample of 825 Physicians including doctors in Sudan with different ranks and specialties were selected using the convenient non-probability sampling technique. Result: Out of 825 Physicians, 666 (80.7%) of Physicians have previous knowledge about AI. However, only a small number 123 (14.9%) were taught about AI during their time in medical school, even fewer, just 120 (14.5%) had AI-related lessons in their training program. Regarding attitude, 675 (81.8%) agree that AI is very important in medicine, almost the same number, 681 (82.6%) support the idea of teaching AI in medical schools. Practically, 535 (64.8%) of doctors, think that should get special training in using AI tools in healthcare. Excitingly 651 (78.9%) of physicians are interested in working with AI in future. Based on different ranks of doctors toward AI; Medical Officers exhibited the highest proportion at (32.7%) of knowledge and understanding of AI concepts, followed by House Officers at (16.7%) (p=0.076); regarding attitude, Medical Officers demonstrated the highest (31.6%) favorable attitude, followed by House Officers at (17.5%) (p=0.229); In practice also, Medical Officer showed the highest portion (28.0%) among participants (p=0.129). Conclusion: While there is a positive attitude and some level of AI practice, there remains a considerable gap in knowledge that needs addressing.

As a result of the high contagiousness and transmissibility of SARS-CoV-2, studying the location of the case clusters that will follow, will help understand the risk factors related to the disease transmission. In this study, we aim to identify the transmission cluster category and settings that can guide decision-makers which areas to be opened again. A thorough review of the literature and the media articles were performed. After data verification, we included cluster data from eight countries as of 16th May 2020. Clusters were further categorized into 10 categories and analysis was performed. The data was organized and presented in an easily accessible online sheet. Among the eight included countries, we have found 3905 clusters and a total number of 1,907,944 patients. Indoor settings (mass accommodation and residential facilities) comprised the highest number of both number of clusters (3315/3905) and infected patients (1,837,019/1,907,944), while the outdoor ones comprised 590 clusters and 70,925 patients. Mass accommodation was associated with the highest number of cases in 5 of the 7 countries with data available. Social events and residential settings were responsible for the highest number of cases in the two remaining countries. In the USA, workplace facilities have reported 165 clusters of infection including 122 food production facilities. Lockdown could truly be a huge burden on a country’s economy. However, with the proper knowledge concerning the transmissibility and the behaviour of the disease, better decisions could be made to guide the appropriate removal of lockdown across the different fields and regions.