Stakeholders' perception of a total market approach to HIV self-testing (HIVST) for the private sector in Nigeria.

BACKGROUND: The continuous supply of affordable and quality HIV self-test (HIVST) is a key pillar toward achieving the global HIV 95-95-95 target in Nigeria. This was a descriptive qualitative study that explored private sector stakeholders' perceptions of the enablers and barriers of the HIVST market in Nigeria. METHODS: A total of 29 In-depth interviews (IDIs) were conducted with HIVST supply chain stakeholders and private sector providers (PPMVs and Community Pharmacies). Responses were analyzed using Nvivo software and we systematically developed a total market approach analysis for supply chain stakeholders and archetypes for community Pharmacies and PPMVs based on insights gathered from their journey map. RESULTS: Challenges to the supply side dynamics include forecasting, point of care service delivery, the availability of free and subsidized HIVST kits in the market, neglect of private sector providers (Community Pharmacists and PPMVs) in the healthcare delivery system, limited demand for HIVST, and regulatory bottlenecks influences the overall market dynamics. High cost of the HIVST kit, which triggers low availability, accessibility and affordability from the demand side, depicts the need to understand the market dynamics. Addressing the barriers and optimizing the enablers of the three-model pharmacist and PPMV's will change the market dynamic and service delivery to generate demand. CONCLUSION: To address challenges which already exist, the government need to revise the process guidelines for introducing new HIVST products in the Nigerian market, developing contingency plans to ensure the supply of HIVST remains sufficient when experiencing economic shocks, and create a sustainable roadmap toward optimizing the market for HIVST kits.

Knowledge of Lassa fever, its prevention and control practices and their predictors among healthcare workers during an outbreak in Northern Nigeria: A multi-centre cross-sectional assessment.

BACKGROUND: The year 2020 Lassa fever (LF) outbreak had the greatest disease burden and this can place an enormous strain on the already overstretched healthcare system and can potentially increase morbidity and mortality due to infectious diseases. Therefore, having a knowledgeable healthcare workforce with appropriate skills and competencies to prevent and manage outbreaks of a neglected infectious disease such as LF in Nigeria will potentially enhance public health. Thus, this survey assessed the level of knowledge of LF and its prevention and control (PC) measures amongst the healthcare workers (HCWs) during a LF outbreak in Katsina state, Nigeria. METHODOLOGY/PRINCIPAL FINDINGS: During this cross-sectional survey, HCWs complete a validated 29-item questionnaire comprising 18 items on the knowledge of LF and its PC measures and an item on global self-evaluation of their LF knowledge. Psychometric properties of the questionnaire were evaluated. Chi-square and binary logistic regression analyses were conducted. Out of 435 HCWs invited, a total of 400 participated in the study (92% response rate). The majority of participants (51.8%) demonstrated inadequate LF knowledge, with 62.9% of those scoring low having a high self-perception of their LF knowledge with the global scale. This LF knowledge over-estimation was predicted by LF training status (odds ratio (OR) 2.53; 95% CI: 1.49-4.30; p = 0.001). The level of LF knowledge and its PC measures among the study participants was low (11.60±8.14, 64.4%) and predicted by participants' LF training status (OR 2.06; 95% CI: 1.19-3.57; p = 0.009), place of work (OR 1.82; 95% CI: 1.07-3.08; p = 0.03) and their designations (OR 2.40; 95% CI: 1.10-5.22; p = 0.03). CONCLUSION: The level of knowledge of LF and its PC measures among the HCWs surveyed was suboptimal and participants' LF training status, place of work and occupational category were the significant predictors. In addition, LF knowledge overestimation on a global scale was observed among a majority of HCWs and this was also predicted by LF training status. Therefore, there is a critical need for health authorities in Nigeria to prioritize continuous on-the-job training of HCWs on priority neglected tropical diseases such as Lassa fever.

COVID-19 AND INSECURITY IN NORTHERN NIGERIA.

Northern Nigeria is currently facing a twin crisis of both COVID-19 and insecurity. They have made it difficult for the people to follow government containment efforts to control the pandemic and also have impacted on the socioeconomic and health aspects of the society. We have discussed on the impact of insecurity amid COVID-19 in Northern Nigeria. It is opined that if the insecurity in Northern Nigeria is not tackled, it will expose the region to more escalation of cases and deaths. Thus, it is recommended that proactive steps should be implemented by all stakeholders concerned to tackle insecurity, particularly the government to revive the security architecture, provide an environment for training and retraining of all security personnel and enhancing intelligence gathering to pave the way for resolving this issue.

A Global Mutational Profile of SARS-CoV-2: A Systematic Review and Meta-Analysis of 368,316 COVID-19 Patients.

Since its first detection in December 2019, more than 232 million cases of COVID-19, including 4.7 million deaths, have been reported by the WHO. The SARS-CoV-2 viral genomes have evolved rapidly worldwide, causing the emergence of new variants. This systematic review and meta-analysis was conducted to provide a global mutational profile of SARS-CoV-2 from December 2019 to October 2020. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA), and a study protocol was lodged with PROSPERO. Data from 62 eligible studies involving 368,316 SARS-CoV-2 genomes were analyzed. The mutational data analyzed showed most studies detected mutations in the Spike protein (n = 50), Nucleocapsid phosphoprotein (n = 34), ORF1ab gene (n = 29), 5'-UTR (n = 28) and ORF3a (n = 25). Under the random-effects model, pooled prevalence of SARS-CoV-2 variants was estimated at 95.1% (95% CI; 93.3-96.4%; I2 = 98.952%; p = 0.000) while subgroup meta-analysis by country showed majority of the studies were conducted 'Worldwide' (n = 10), followed by 'Multiple countries' (n = 6) and the USA (n = 5). The estimated prevalence indicated a need to continuously monitor the prevalence of new mutations due to their potential influence on disease severity, transmissibility and vaccine effectiveness.