Rate Of New Infections Research Articles

Relationship Between Psychotherapy and Mitigation of Self-Stigmitization Among Adult Persons Living with HIV in Nairobi City, Kenya

Human Immunodeficiency virus (HIV) has caused a lot of suffering ever since the first case was reported. To date there are about 80,000,000 People living with HIV (PLWH). Although the rate of new infections has reduced, the effects remain far reaching, especially in Sub-Sahara Africa. Apprehension associated with HIV often scares many from finding out their HIV standing, considering restraint methods, avoiding risky conducts, and uplifting of PLWH endeavours. Many studies focused on HIV testing and counselling services which is for now mainly service provider driven. The drive of this study was showing the relationship between psychotherapy and mitigation of self-stigmatization (SS) among Adult PLWH in Embakasi East Sub-County (herein denoted Embakasi East), Nairobi City, County (herein denoted Nairobi City), Kenya; Social Cognitive Theory guided this study, employing descriptive research design on a target population of 3,886 PLWH registered for ART treatment at 7 public health centres in Embakasi East, Nairobi City. Cochran’s sample size formula was applied in determining the suitable sample size of 246 that was confirmed by the sampling table. Purposive sampling was used to select both the public health centres and the informants from each centre. Proportionate random sampling assisted in picking participants (both male and female), then random sampling was used to construct the sample. The sample of 246 (74 males and 172 females) was drawn, with 6 informants. Informants were interviewed and questionnaires completed by PLWH. In the analysis of the data, descriptive statistics, mainly frequencies, percentages and mean were applied on facts while thematic analysis on qualitative data. The study results showed that SS was very prevalent, caused by the respondents themselves and those around them. They acknowledged being hated, them hating themselves and did not want their HIV status known. Just a few had utilized psychotherapy service, who agreed that they were relieved a lot of pain they were undergoing, and they recommended it to others. The study recommended that authorities need to consider promoting and committing resources for psychotherapy as a solution to SS among PLWH, invest more in advocacy work, and invigorating sensitization among families on their role in supporting PLWH being

Temporal Dynamics of Hepatitis B Infection and Relation of Childhood Vaccination Program in Türkiye: A Longitudinal Study.

Hepatitis B is a significant infectious disease on a global scale. The implementation of vaccination programs and other preventive measures (e.g., serologic screening of blood donors) leads to lower rates of new infections with the hepatitis B virus. This study aimed to investigate and compare the evolution of hepatitis B incidence, prevalence and mortality rates along with vaccination rates in Türkiye and worldwide between 1990 and 2019. The study analyzed open datasets (the Global Burden of Disease and Our World in Data) using descriptive and joinpoint regression analysis to uncover substantial declines in hepatitis B rates from 1990 to 2019, both in Türkiye and globally. The average annual percentage change (AAPC) for incidence rates was -1.81 in Türkiye and -1.481 in the global cohort. For prevalence, the AAPC was -2.5244 in Türkiye and -1.4104 globally. The vaccination rates increased over time and remained at 95% since 2009, suggesting that vaccination efforts effectively reduced the risk of hepatitis B infection among children. This study provided important perspectives for assessing Türkiye's performance in this field and guiding future strategies.

Assessment of Health Care Workers' Attitude towards PMTCT of HIV at Primary Health Care Center in Minna Metropolis, Niger State

Human immunodeficiency virus is grouped into the genus Lentivirus within the family of retroviridean, a subfamily of retrovirinae. Since its emergence, it has remained a global public health crisis with approximately 39.0 million (33.1 – 45.7 mil) people living with HIV globally in 2022, with some countries reporting increased trends in new infections and it is incurable. There has been documented success in decreasing new cases and mortality resulting from HIV/AIDS globally; however, in sub-Saharan Africa, the rate of new infections has increased disproportionately among young women. Thus, the region accounts for about 9 – 10 women and children living with HIV. Mother-to-child transmission (MTCT) of HIV occurs when HIV is transmitted from the mother to the child during pregnancy, childbirth, or breastfeeding, although the rate of MTCT of HIV in high-income countries has significantly reduced to less than 1% in some low-income countries, MTCT of HIV remains high at 8.9%, and about 90% of HIV infection in children occurs through MTCT of HIV. Prevention of Mother-to-child transmission (PMTCT) of HIV is recommended to curb the menace of MTCT of HIV (Falnes et al., 2010). It involves a series of events, services, or interventions, which, when fully implemented, result in a reduction in the risk of mother-to-child transmission (MTCT) of HIV (Centers for Disease Control and Prevention, 2016) that involves the use of drugs and non-drug-related services. Health care workers play an important role in the provision of services and interventions aimed at reducing HIV transmission. Therefore, this study intends to Asses Health Care Workers' Attitude Towards PMTCT of HIV At Primary Health Care Center. The study is an institutional-based cross-sectional descriptive survey study. The sample size was calculated using the formula of Yamane (1967), a multistage sampling was used to select sampling unit. A self-administered closed-ended questionnaire was used as the instrument for data collection, all responses to the completed questionnaire were coded and entered into SPSS v25.0, edited, and checked accordingly. Descriptive statistics were used to describe the frequency distribution and measures of central tendency, whereas inferential statistics were used to determine the relationship between the study variables. The study finding reveals that the general attitude score of the respondents on PMTCT of HIV was Positive (3.1) and there is a statistically significant level of association between years of work and attitude (p<0.024). In this study, it can be concluded that the level of health care workers attitude towards PMTCT of HIV was positive and there is a statistically significant level of association between years of work and attitude. This shows that health care workers with more year of working experience have a better attitude, this could be related to the fact that they have more contact time and training on PMTCT and HIV in general, it is recommended that further studies be conducted to the explore the reason behind the statistical association above.

Epidemicity indices and reproduction numbers from infectious disease data in connected human populations

We focus on distinctive data-driven measures of the fate of ongoing epidemics. The relevance of our pursuit is suggested by recent results proving that the short-term temporal evolution of infection spread is described by an epidemicity index related to the maximum instantaneous growth rate of new infections, echoing concepts and tools developed to study the reactivity of ecosystems. Suitable epidemicity indices can showcase the dynamics of infections, together with commonly employed effective reproduction numbers, especially when the latter assume values less than 1. In particular, epidemicity evaluates the short-term reactivity to perturbations of a disease-free equilibrium. Here, we show that sufficient epidemicity thresholds to prevent transient epidemic outbreaks in a spatially connected setting can be estimated by generalizing existing analogues derived when spatial effects are neglected. We specifically account for the discrete nature, in both space and time, of surveillance data of the type typically employed to estimate effective reproduction numbers that formed the bulk of the communication of the state of the COVID-19 pandemic and its controls. After analyzing the effects of spatial heterogeneity on the considered prognostic indicators, we perform a short- and long-term analysis on the COVID-19 pandemic in Italy, showing that endemic conditions were maintained throughout the duration of our simulation despite stringent control measures. Our method provides a portfolio of prognostic indices that are essential to pinpoint the ongoing pandemic in both a qualitative and quantitative manner, as our results demonstrate. We base our conclusions on extended investigations of the effects of spatial fragmentation of communities of different sizes owing to connectivity by human mobility and contact scenarios, within real geographic contexts and synthetic setups designed to test our framework.

Mathematics of Epidemics: On the General Solution of SIRVD, SIRV, SIRD, and SIR Compartment Models

The susceptible–infected–recovered–vaccinated–deceased (SIRVD) epidemic compartment model extends the SIR model to include the effects of vaccination campaigns and time-dependent fatality rates on epidemic outbreaks. It encompasses the SIR, SIRV, SIRD, and SI models as special cases, with individual time-dependent rates governing transitions between different fractions. We investigate a special class of exact solutions and accurate analytical approximations for the SIRVD and SIRD compartment models. While the SIRVD and SIRD equations pose complex integro-differential equations for the rate of new infections and the fractions as a function of time, a simpler approach considers determining equations for the sum of ratios for given variations. This approach enables us to derive fully exact analytical solutions for the SIRVD and SIRD models. For nonlinear models with a high-dimensional parameter space, such as the SIRVD and SIRD models, analytical solutions, exact or accurately approximative, are of high importance and interest, not only as suitable benchmarks for numerical codes, but especially as they allow us to understand the critical behavior of epidemic outbursts as well as the decisive role of certain parameters. In the second part of our study, we apply a recently developed analytical approximation for the SIR and SIRV models to the more general SIRVD model. This approximation offers accurate analytical expressions for epidemic quantities, such as the rate of new infections and the fraction of infected persons, particularly when the cumulative fraction of infections is small. The distinction between recovered and deceased individuals in the SIRVD model affects the calculation of the death rate, which is proportional to the infected fraction in the SIRVD/SIRD cases but often proportional to the rate of new infections in many SIR models using an a posteriori approach. We demonstrate that the temporal dependence of the infected fraction and the rate of new infections differs when considering the effects of vaccinations and when the real-time dependence of fatality and recovery rates diverge. These differences are highlighted for stationary ratios and gradually decreasing fatality rates. The case of stationary ratios allows one to construct a new powerful diagnostics method to extract analytically all SIRVD model parameters from measured COVID-19 data of a completed pandemic wave.

Optimizing health resource allocation for improving timely HIV diagnosis in China.

The Joint United Nations Programme on HIV/AIDS (UNAIDS) updated the 95-95-95 targets for the HIV endgame in 2030. To achieve the first target in a timely manner, we investigate the optimized strategy of resource allocation to maximize timely HIV diagnosis in 14 populations in China. We developed a mathematical model by integrating epidemiological, demographical and behavioural data from 12 high-risk and two general populations to evaluate the impact of various resource allocation strategies of HIV testing on HIV incidence in China. We identified the optimized allocation strategy that maximizes the number of HIV diagnoses at an estimated total spending on HIV tests in China and calculated the per-capita cost of new HIV case detection. We estimated that 144,795 new HIV cases may occur annually in 14 populations in China, with a total annual spending of US$2.8 billion on HIV testing. The largest proportion of spending was allocated to general males (44.0%), followed by general females (42.6%) and pregnant women (5.1%). Despite this allocation strategy, only 45.5% (65,867/144,795, timely diagnosis rate) of annual new infections were diagnosed within a year of acquisition, with a cost of $42,852 required for each new HIV case detection. By optimizing the allocation of HIV testing resources within the same spending amount, we found that general females received the highest proportion of spending allocation (45.1%), followed by low-risk men who have sex with men (13.9%) and pregnant women (8.4%). In contrast, the proportion of spending allocation for the general males decreased to 0.2%. With this optimized strategy, we estimated that 120,755 (83.4%) of annual new infections would be diagnosed within a year of acquisition, with the cost required for one HIV case detection reduced to $23,364/case. Further spending increases could allow for significant increases in HIV testing among lower-risk populations. Optimizing resource allocation for HIV testing in high-risk populations would improve HIV timely diagnosis rate of new infections and reduce cost per HIV case detection.

Progress Note 2024: Curing HIV; Not in My Lifetime or Just Around the Corner?

Once a death sentence, HIV is now considered a manageable chronic disease due to the development of antiretroviral therapy (ART) regimens with minimal toxicity and a high barrier for genetic resistance. While highly effective in arresting AIDS progression and rendering the virus untransmissible in people living with HIV (PLWH) with undetectable viremia (U=U) [1, 2]), ART alone is incapable of eradicating the "reservoir" of resting, latently infected CD4+ T cells from which virus recrudesces upon treatment cessation. As of 2022 estimates, there are 39 million PLWH, of whom 86% are aware of their status and 76% are receiving ART [3]. As of 2017, ART-treated PLWH exhibit near normalized life expectancies without adjustment for socioeconomic differences [4]. Furthermore, there is a global deceleration in the rate of new infections [3] driven by expanded access to pre-exposure prophylaxis (PrEP), HIV testing in vulnerable populations, and by ART treatment [5]. Therefore, despite outstanding issues pertaining to cost and access in developing countries, there is strong enthusiasm that aggressive testing, treatment, and effective viral suppression may be able to halt the ongoing HIV epidemic (ie, UNAIDS' 95-95-95 targets) [6-8]; especially as evidenced by recent encouraging observations in Sydney [9]. Despite these promising efforts to limit further viral transmission, for PLWH, a "cure" remains elusive; whether it be to completely eradicate the viral reservoir (ie, cure) or to induce long-term viral remission in the absence of ART (ie, control; Figure 1). In a previous salon hosted by Pathogens and Immunity in 2016 [10], some researchers were optimistic that a cure was a feasible, scalable goal, albeit with no clear consensus on the best route. So, how are these cure strategies panning out? In this commentary, 8 years later, we will provide a brief overview on recent advances and failures towards identifying determinants of viral persistence and developing a scalable cure for HIV. Based on these observations, and as in the earlier salon, we have asked several prominent HIV cure researchers for their perspectives.

Determinants of vaccination decisions and lived experiences of Ghanaians with the COVID-19 pandemic; a qualitative study

BackgroundTwo years after the WHO declared a state of emergency as a result of the rapid spread of the COVID-19 virus from Wuhan, China, the rate of new infections experienced intermittent flare-ups globally, with vaccinations still ongoing in countries such as Ghana. One year after the implementation of Ghana’s COVID-19 vaccine deployment program, Ghanaians have had the opportunity to reflect on their vaccination decisions, albeit the initial vaccine hesitancy. ObjectivesThe current paper examined the knowledge and lived experiences of Ghanaians during the COVID-19 pandemic, and the factors influencing their vaccination decisions, one year after COVID-19 vaccinations commenced in Ghana, with special focus on the social and geographical histories which influenced their vaccination decisions. MethodologyA qualitative approach using a case study design was used to conduct in-depth interviews among 25 respondents who were 18 years and above, not pregnant, and willing to participate in the study, between 5th and 23rd September 2022. Data was collected in 5 hotspot areas in Ghana with the highest cumulative case counts. A semi-structured interview guide was used to collect data which was analyzed using a thematic approach. FindingsRespondents demonstrated a good level of knowledge on COVID-19 and related vaccines. Fear, panic, and anxiety were some of the experiences lived by respondents during the pandemic. The factors influencing vaccination decisions included conspiracy theories about COVID-19 and related vaccines, subjective notions about the COVID-19 disease, and subjective notions about the vaccine. The type of community one lived in, taboos, and previous successful vaccination programs in the community were geographic factors that informed respondents’ decision to vaccinate or not. Social circles, religion, opinion leaders, and media-based campaigns were the social factors that influenced respondents’ decision to vaccinate or not.

On the Analytical Solution of the SIRV-Model for the Temporal Evolution of Epidemics for General Time-Dependent Recovery, Infection and Vaccination Rates

The susceptible–infected–recovered/removed–vaccinated (SIRV) epidemic model is an important generalization of the SIR epidemic model, as it accounts quantitatively for the effects of vaccination campaigns on the temporal evolution of epidemic outbreaks. Additional to the time-dependent infection (a(t)) and recovery (μ(t)) rates, regulating the transitions between the compartments S→I and I→R, respectively, the time-dependent vaccination rate v(t) accounts for the transition between the compartments S→V of susceptible to vaccinated fractions. An accurate analytical approximation is derived for arbitrary and different temporal dependencies of the rates, which is valid for all times after the start of the epidemics for which the cumulative fraction of new infections J(t)≪1. As vaccination campaigns automatically reduce the rate of new infections by transferring persons from susceptible to vaccinated, the limit J(t)≪1 is even better fulfilled than in the SIR-epidemic model. The comparison of the analytical approximation for the temporal dependence of the rate of new infections J˚(t)=a(t)S(t)I(t), the corresponding cumulative fraction J(t), and V(t), respectively, with the exact numerical solution of the SIRV-equations for different illustrative examples proves the accuracy of our approach. The considered illustrative examples include the cases of stationary ratios with a delayed start of vaccinations, and an oscillating ratio of recovery to infection rate with a delayed vaccination at constant rate. The proposed analytical approximation is self-regulating as the final analytical expression for the cumulative fraction J∞ after infinite time allows us to check the validity of the original assumption J(t)≤J∞≪1.

Analytical Solution of the Susceptible-Infected-Recovered/Removed Model for the Not-Too-Late Temporal Evolution of Epidemics for General Time-Dependent Recovery and Infection Rates

The dynamical equations of the susceptible-infected-recovered/removed (SIR) epidemics model play an important role in predicting and/or analyzing the temporal evolution of epidemic outbreaks. Crucial input quantities are the time-dependent infection (a(t)) and recovery (μ(t)) rates regulating the transitions between the compartments S→I and I→R, respectively. Accurate analytical approximations for the temporal dependence of the rate of new infections J˚(t)=a(t)S(t)I(t) and the corresponding cumulative fraction of new infections J(t)=J(t0)+∫t0tdxJ˚(x) are available in the literature for either stationary infection and recovery rates or for a stationary value of the ratio k(t)=μ(t)/a(t). Here, a new and original accurate analytical approximation is derived for general, arbitrary, and different temporal dependencies of the infection and recovery rates, which is valid for not-too-late times after the start of the infection when the cumulative fraction J(t)≪1 is much less than unity. The comparison of the analytical approximation with the exact numerical solution of the SIR equations for different illustrative examples proves the accuracy of the analytical approach.

Vision 2030 and World AIDS Day 2023: Empowering Communities in HIV Research and Policy in Indonesia

Notable challenges and accomplishments have characterized Indonesia's efforts in combating HIV AIDS. As of 2022, it is estimated that 546,573 people are living with HIV in the country, with new infections totaling 24,223 in the same year. Recent data shows a decrease in new HIV infections and AIDS-related deaths. However, there remains a concerning steady rate of new infections within the men who have sex with men(MSM) population.1
 Although there have been improvements in Indonesia's HIV care cascade, particularly in achieving the first target of the 95-95-95 goals, challenges persist. In 2022, only 42% of people living with HIV (PLHIV) knew their status and were on HIV treatment, and a mere 15% of those on treatment achieved viral suppression.2 These figures highlight the necessity for strategies that are specifically tailored to meet the unique needs of different communities within the HIV AIDS landscape in Indonesia.

Long-term outcomes of COVID-19 vaccination in patients with rare and complex connective tissue diseases: The ERN-ReCONNET VACCINATE study

BackgroundVaccination is one of the most important measures to contain the COVID-19 pandemic, especially for frail patients. VACCINATE is a multicentre prospective observational study promoted by the European Reference Network on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ERN ReCONNET) aimed at assessing the long-term outcomes of COVID-19 vaccination in patients with rare and complex connective tissue diseases (rcCTDs) in terms of efficacy and safety. MethodsAdult rcCTDs patients were eligible for recruitment. Demographic, clinical and vaccination data were collected at enrolment. Follow-up visits were scheduled 4, 12, 24, 36 and 48 weeks after completion of the first vaccination cycle; data on adverse events, disease exacerbations and the occurrence of new SARS-CoV-2 infections were collected at these time-points. Findings365 rcCTDs patients (87 % female, mean age 51.8 ± 14.6 years) were recruited. Overall, 200 patients (54.8 %) experienced at least one adverse event, generally mild and in most cases occurring early after the vaccination. During follow-up, 55 disease exacerbations were recorded in 39 patients (10.7 %), distributed over the entire observation period, although most frequently within 4 weeks after completion of the vaccination cycle. The incidence of new SARS-CoV-2 infections was 8.9 per 1000 person-months, with no cases within 12 weeks from vaccine administration and an increasing trend of infections moving away from the primary vaccination cycle. Only one case of severe COVID-19 was reported during the study period. InterpretationCOVID-19 vaccination seems effective and safe in rcCTDs patients. The rate of new infections was rather low and serious infections were uncommon in our cohort. No increased risk of disease flares was observed compared to previous disease history; however, such exacerbations may be potentially severe, emphasising the need for close monitoring of our patients.

Flattening the curve: Insights from queueing theory.

The worldwide outbreak of the coronavirus was first identified in 2019 in Wuhan, China. Since then, the disease has spread worldwide. As it is currently spreading in the United States, policy makers, public health officials and citizens are racing to understand the impact of this virus on the United States healthcare system. They fear a rapid influx of patients overwhelming the healthcare system and leading to unnecessary fatalities. Most countries and states in America have introduced mitigation strategies, such as using social distancing to decrease the rate of newly infected people. This is what is usually meant by flattening the curve. In this paper, we use queueing theoretic methods to analyze the time evolution of the number of people hospitalized due to the coronavirus. Given that the rate of new infections varies over time as the pandemic evolves, we model the number of coronavirus patients as a dynamical system based on the theory of infinite server queues with time inhomogeneous Poisson arrival rates. With this model we are able to quantify how flattening the curve affects the peak demand for hospital resources. This allows us to characterize how aggressive societal policy needs to be to avoid overwhelming the capacity of healthcare system. We also demonstrate how curve flattening impacts the elapsed lag between the times of the peak rate of hospitalizations and the peak demand for the hospital resources. Finally, we present empirical evidence from Italy and the United States that supports the insights from our model analysis.

Effectiveness of salvage catheters in home parenteral nutrition: A single-center study and systematic literature review

There are sparse data regarding the rate of catheter salvage and long-term effectiveness of antibiotic lock treatment outcome after central line-associated bloodstream infections (CLABSI). Objectives were to analyze the effectiveness of central venous catheter (CVC) rescue strategy and its impact on catheter lifespan. Secondary objective included effectiveness of taurolidine+4% citrate in primary prevention, compared to a secondary prevention strategy, by analyzing infection incidence during two successive periods. Real-life 5-year observational study assessing CLABSI occurrence and CVC salvage outcomes in adult patients requiring Home Parenteral Nutrition (HPN) managed in a single-center Intestinal Failure Unit. Over the 5-year period, there were 106 confirmed infections (63/143 patients (44%)). Infection incidence was 0.92/1000 catheter-days. Incidence was 1.02/1000 catheter-days during the taurolidine+4% citrate period while lower at 0.84/1000 catheter-days (p=0.034) during the systematic taurolidine lock period. Of the total number of infections, 89 CVCs were immediately removed and 17 were salvaged. The success rate of catheter salvage with antibiotic lock was 82.4%, with 53% remaining CLABSI-free at one year. The salvage strategy extended catheter lifespan by a median 165 days (IQR 50-214). However, the rate of new infection was significantly higher in instances of salvage (71.4%) vs. removal (36%). Parenteral Nutrition (PN) ≥12 months (p=0.002), PN (vs. hydroelectrolytic support) (p=0.028) and self-management by patients (p=0.049) were independent risk factors of CLABSI. Catheter salvage appears to be an effective long-term strategy with >50% of CVCs remaining CLABSI-free at one year and a prolonged catheter life, although may expose to a more frequent and earlier infection recurrence. Cohort approved by the French CNIL (National Committee for Data Protection, authorization number CNIL 2015-25). referred to as "observational research", "non-interventional", or«non-RIPH ».

The rate of hepatitis C reinfection in Canadians coinfected with HIV and its implications for national elimination.

The World Health Organisation (WHO) has set targets for the rate of new infections as a way to measure progress towards the elimination of hepatitis C virus (HCV) as a public health threat. As more people are successfully treated for HCV, a higher proportion of new infections will be reinfections. We consider whether the reinfection rate has changed since the interferon era and what we can infer about national elimination efforts from the current reinfection rate. The Canadian Coinfection Cohort is representative of HIV HCV coinfected people in clinical care. We selected cohort participants successfully treated for a primary HCV infection either in the interferon era or in the era of direct acting antivirals (DAAs). Selected participants were followed from 12 weeks after completing a successful treatment until the end of 2019 or until their last measured HCV RNA. We estimated the reinfection rate in each treatment era, overall and in participant subgroups, using proportional hazard models appropriate for interval censored data. Among 814 successfully treated participants with additional HCV RNA measurements, there were 62 reinfections. The overall reinfection rate was 2.6 (95% confidence interval, CI, 1.2-4.1) /100 person years (PY) in the interferon era and 3.4 (95% CI 2.5-4.4) /100 PY in the DAA era. The rate in those reporting injection drug use (IDU) was much higher: 4.7 (95% CI 1.4-7.9) /100 PY and 7.6 (95% CI 5.3-10) /100 PY in the interferon and DAA eras respectively. The overall reinfection rate in our cohort is now above the WHO target set for new infections in people who inject drugs. The reinfection rate in those reporting IDU has increased since the interferon era. This suggests Canada is not on track to achieve HCV elimination by 2030.

Awareness and Knowledge of HIV/AIDS Among Senior Secondary School Students in Zaria, Nigeria

Background: Nigeria has one of the largest human immunodeficiency virus (HIV) epidemics in the world and one of the highest rates of new infections in Sub-Saharan Africa. The younger age group has been identified as bearing half of the burden of HIV worldwide. This includes secondary-school children. Objectives: The aim of this study was to determine the awareness and Knowledge of senior secondary-school (SSS) students concerning HIV/AIDS. Materials and Methods: A cross-sectional, descriptive study was conducted among SSS students in Zaria, Kaduna state, Nigeria. Respondents were selected using a multistage sampling technique. Data were collected using a pretested, semi-structured, self-administered questionnaire. Descriptive statistics were used to represent univariate level data, whereas chi-square and Fisher’s exact test where applicable were used to identify the relationship between knowledge of HIV and other categorical variables with a level of significance of P < .05. Results: The mean age (± SD) of respondents was 16.1 ± 1.1 years. All (100%) of the respondents were aware of HIV/AIDS. The majority of the respondents knew HIV/AIDS was caused by a virus (89%). Almost a quarter of the respondents (22.1%) believed that antibiotics can prevent HIV. The mean (±SD) knowledge score was 80.5 (± 15.8) out of a total of 100%. Overall, 62 (84.9%) of the respondents had good knowledge of HIV/AIDS. There was a statistically significant relationship between knowledge and tribe as well as the religion of the respondents (P = 0.008 and P = .016, respectively). No statistically significant relationship was found between knowledge and other sociodemographic factors (P > .05). Conclusion: HIV/AIDS awareness and knowledge were good among respondents though some misconceptions still existed. Respondent’s tribe was significantly associated with the level of knowledge of HIV/AIDS. The school authorities and all other concerned agencies should design campaigns targeted at correcting specific misconceptions and gaps in knowledge for the benefit of the students in the study area and the country at large.

Categorising implementation determinants and strategies within the US HIV implementation literature: a systematic review protocol

IntroductionDespite decreased rates of new infections, HIV/AIDS continues to impact certain US populations. In order to achieve the goals laid out in the Ending the HIV Epidemic (EHE) in the...

Impact of COVID-19 Pandemic on Stock Market Returns

This study examines how COVID-19 epidemic has affected stock returns. A causal-comparative design of quantitative research is used to examine how daily COVID-19 infection and fatality cases affect stock market performance. The analysis found that changes in the daily rate of new infections have had a substantial influence on overall equities returns as well as cross-over stock markets. In contrast, it was found that COVID-19 related deaths had a negative but often insignificant effect. The categorical variable magnitude of the influence on the equity market was determined to be relatively little. With the use of a time series graph and a regression model, the empirical data was examined. The time frame for the study was 100 days from the discovery of COVID-19 cases in the tested countries in 30 countries. The results of this study may be useful to policymakers and stock market investors. Recognizing the limitations of the data utilized in this study, more research can be done using a larger sample size and more sophisticated technique. Additionally, utilizing primary data, a behavioural research of investors’ reactions to market reactions throughout the pandemic era may be carried out.

Determination of a Key Pandemic Parameter of the SIR-Epidemic Model from Past COVID-19 Mutant Waves and Its Variation for the Validity of the Gaussian Evolution

Monitored differential infection rates of past corona waves are used to infer, a posteriori, the real time variation of the ratio of recovery to infection rate as a key parameter of the SIR (susceptible-infected-recovered/removed) epidemic model. From monitored corona waves in five different countries, it is found that this ratio exhibits a linear increase at early times below the first maximum of the differential infection rate, before the ratios approach a nearly constant value close to unity at the time of the first maximum with small amplitude oscillations at later times. The observed time dependencies at early times and at times near the first maximum agree favorably well with the behavior of the calculated ratio for the Gaussian temporal evolution of the rate of new infections, although the predicted linear increase of the Gaussian ratio at late times is not observed.

Video selection and assessment for an app-based HIV prevention messaging intervention: formative research

Gay, bisexual, and other men who have sex with men (GBMSM) continue to be overrepresented in human immunodeficiency virus (HIV) infection in the United States. HIV prevention and care interventions that are tailored to an individual's serostatus have the potential to lower the rate of new infections among GBMSM. Mobile technology is a critical tool for disseminating targeted messaging and increasing uptake of basic prevention services including HIV testing, sexually transmitted infection (STI) testing, and pre-exposure prophylaxis (PrEP). Mobile Messaging for Men (M-Cubed) is a mobile health HIV prevention intervention designed to deliver video- and text-based prevention messages, provide STI and HIV information, and link GBMSM to prevention and healthcare resources. The current report describes an iterative process of identifying and selecting publicly available videos to be used as part of the M-Cubed intervention. We also conducted interviews with GBMSM to assess the acceptability, comprehension, and potential audience reach of the selected video messages. The selection of videos included balancing of specific criteria [e.g., accuracy of scientific information, video length, prevention domains: HIV/STI testing, antiretroviral therapy (ART), PrEP, engagement in care, and condom use] to ensure that they were intended for our GBMSM audiences: HIV-negative men who engage in condomless anal sex, HIV-negative men who do not engage in condomless anal sex, and men living with HIV. This formative study included in-person interviews with 26 GBMSM from three U.S. cities heavily impacted by the HIV epidemic-New York City, Detroit, and Atlanta. Following a qualitative content analysis, the study team identified five themes across the interviews: participant reactions to the video messages, message comprehension, PrEP concerns, targeting of video messaging, and prompted action. Study results informed a final selection of 12 video messages for inclusion in a randomized controlled trial of M-Cubed. Findings may serve as a guide for researchers who plan to develop HIV prevention interventions that utilize publicly available videos to promote behavioral change. Further, the findings presented here suggest the importance of developing videos with broad age and gender diversity for use in interventions such as M-Cubed, and in other health promotion settings.