Estimating district HIV prevalence in Zambia using small-area estimation methods (SAE)

HIV-1 prevalence, drug resistance, and associated factors in the urban Ethiopian population

Despite progress in HIV control, gaps persist in understanding the prevalence, drug resistance, and associated factors in urban Ethiopia. This cross-sectional study analyzed data from 19,136 consenting participants (aged 15-64 years) for interview and blood testing in the 2017-2018 Population-based HIV Impact Assessment (PHIA) survey to assess HIV-1 prevalence, drug resistance mutations, and associated factors. Participants confirmed to be living with HIV (PLHIV) provided additional samples for CD4 + T-cell counts, viral load testing, and drug resistance analysis. Forty-three samples were analyzed for viral subtyping and drug resistance profiling, of which 42 samples successfully amplified. Data were analyzed using descriptive statistics and logistic regression. The overall HIV-1 prevalence was 3%. Among genotyped samples, 79.1% harbored drug resistance mutations, with high rates of resistance to Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) (78.8%) and Nucleoside Reverse Transcriptase Inhibitors (NRTIs) (66.7%). Regarding associated factors, females had 1.7 times higher odds of HIV infection than males (AOR = 1.7). Participants aged 35-44 and 45-54 had significantly higher odds of infection (AOR = 6.7 for both) compared to those aged 15-24. Lower educational attainment (primary school: AOR = 2.5; secondary school: AOR = 2.2) was associated with increased HIV prevalence compared to post-secondary education. Previously married individuals had higher infection odds than never-married participants (AOR = 2.7). Geographically, residents of Gambella showed significantly higher odds (AOR = 2.8) compared to those in Tigray. This study identified a high HIV-1 prevalence in Ethiopia, along with elevated virological failure rates, a significant proportion of PLHIV unaware of their status, and widespread drug resistance. Sex, age, education level, marital status, and region were the identified factors associated with HIV-1 prevalence. To improve treatment outcomes and curb transmission, Ethiopia should strengthen HIV prevention strategies focused on vulnerable populations, enhance testing and linkage to care, and implement routine drug resistance monitoring.

Perceptions of COVID-19 and HIV Risk and Related Preventive Health Behaviors in Rural Zambia

Risk perception, its relationship to preventive health behaviors and other factors (e.g., direct experience of a disease) are important for determining effective targets for disease prevention. Whether these relationships are the same for various diseases has not been well-researched. Drawing on a holistic model of risk perception, this study compares levels of perceived risk for COVID-19 and HIV in a rural Zambian community, examines hypothesized correlates of perceived risk, and evaluates whether higher perceived risk and/or its correlates are associated with practicing preventive behaviors for each disease. The sample included 118 adults participating in a larger study of families affected by HIV. Via surveys, information about risk perception, preventive behaviors, knowledge about, trust in information sources, direct experience and hearing about each disease, and prosociality, were collected. For each disease, perceived risk was not related to its preventive behaviors. Levels of perceived risk for COVID-19 and HIV differed significantly, as did their correlates. Having trusted sources of information about HIV was related to higher perceived risk of HIV. Direct experience of COVID-19 was related to higher perceived risk of COVID-19, but only at a level of interest. Although practicing preventive behaviors for each condition was related to higher levels of knowledge about each disease at a level of interest, willingness to engage in behavior beneficial to others (prosociality) was significantly related only to COVID-19 preventive behaviors. Different diseases provoke different levels of perceived risk and engagement with preventive behaviors and may be correlated with distinct factors. These differences may be due to history of experience with a disease, as well as cultural factors.

The current status of genetic biofortification in alleviating malnutrition in Africa

Africa is a continent where undernutrition and micronutrient deficiencies are common and malnutrition is a major problem. Genetic biofortification (GB) offers a promising way to combat malnutrition. But little is still known about how widely used GB is in Africa today. This review explores the status, achievements, and challenges of GB on the continent today. It draws attention to the potential for enhanced nutritional results from biofortified crops that are enhanced with vital elements like zinc, iron, and vitamin A. Biofortification has a demonstrable positive effect on health and wellness, as evidenced by success stories from several African nations. However, obstacles like a lack of farmer awareness, difficulty obtaining biofortified seeds, and complicated regulations make adoption difficult. Research and collaboration advances hold the potential for increasing GB's effectiveness. This study offers guidance for the future and calls for coordinated efforts to implement GB programs to achieve a well-nourished Africa.

Assessment of antimicrobial resistance laboratory-based surveillance capacity of hospitals in Zambia: findings and implications for system strengthening

BACKGROUND

A well-established antimicrobial resistance (AMR) laboratory-based surveillance (LBS) is of utmost importance in a country like Zambia which bears a significant proportion of the world's communicable disease burden. This study assessed the capacity of laboratories in selected hospitals to conduct AMR surveillance in Zambia.

METHODS

This cross-sectional exploratory study was conducted among eight purposively selected hospitals in Zambia between August 2023 and December 2023. Data were collected using the self-scoring Laboratory Assessment of Antibiotic Resistance Testing Capacity (LAARC) tool.

FINDINGS

Of the assessed facilities, none had full capacity to conduct AMR surveillance with varying capacities ranging from moderate (63% (5/8)) to low (38% (3/8)). Some of the barriers of AMR-LBS were the lack of an electronic laboratory information system (63% (5/8)) and the lack of locally generated antibiograms (75% (6/8)). Quality control for antimicrobial susceptibility testing (AST), pathogen identification and media preparation had the lowest overall score among all of the facilities with a score of 14%, 20% and 44%, respectively. The highest overall scores were in specimen processing (79%), data management (78%), specimen collection, transport and management (71%), and safety (70%). Most facilities had standard operating procedures in place but lacked specimen-specific standard operating procedures.

CONCLUSION

The absence of laboratories with full capacity to conduct AMR surveillance hinders efforts to combat AMR and further complicates the treatment outcomes of infectious diseases. Establishing and strengthening LBS systems are essential in quantifying the burden of AMR and supporting the development of local antibiograms and treatment guidelines.

Community antibiotic consumption and associated factors in Lusaka district of Zambia: findings and implications for antimicrobial resistance and stewardship

Introduction

Antimicrobial resistance (AMR) is a global public health crisis. This study assessed the general public's consumption of antibiotics and associated factors in the Lusaka district of Zambia.

Methods

This cross-sectional study was conducted among 2038 participants between December 2022 and January 2023. Data were analysed using Stata 13.0. Multivariable regression techniques were used to determine the factors that influenced antibiotic consumption.

Results

Of the 2038 participants, 53.4% were female, and 51.5% had attended at least secondary school. Antibiotic use was 99.2%, of which 40.9% were appropriately used. Overall, 79.1% of antibiotics were prescribed in hospitals, while 20.9% were used from leftovers and accessed without prescriptions. This study found that the appropriate use of antibiotics was associated with being female, being aged 35 years and above, attaining secondary school or tertiary education, having a monthly expenditure of 195 USD and above, being aware that antibiotics were not the same as painkillers, and being confident that when someone was hospitalized, they would get well.

Conclusions

This study found that the appropriate use of antibiotics was low, and this is an urgent public health issue requiring community engagement in tackling AMR and adherence to treatment guidelines in healthcare facilities. Additionally, there is a need to implement and strengthen antimicrobial stewardship programmes in healthcare facilities to promote the rational use of antibiotics in Zambia. There is also a need to heighten community awareness campaigns and educational activities on the appropriate use of antibiotics.

Mapping the spatial disparities of HIV prevalence in Ethiopian zones using the generalized additive model

HIV is a worldwide social and health pandemic that poses a significant problem. This study contributes to the 2030 global agenda of reducing HIV prevalence. The study analyzed HIV prevalence using the 2016 Ethiopian Demographic and Health Survey data. The study included men aged 15-54 years and women aged 15-49 years who responded to questions about HIV tests. A generalized geo-additive model (GAM) was fitted to HIV data using nonparametric smooth terms for geolocations. Two smoothing techniques were used in GAMs to evaluate spatial disparities and the probable effects of variables on HIV risk. There were certain areas in Ethiopia that were identified as hot spot zones for HIV, including Nuer and Agnuak in Gambella, West Wollega and Illubabor in Oromia, Benchi Maji and Shaka in SNNPR, Awsi, Fantana, Kilbet, and Gabi in the Afar region, Shinilie of the Somalia region, North and South Wollo, Oromia special zones of the Amhara region, Central Ethiopia, and Addis Ababa city. On the other hand, the eastern parts of Ethiopia, particularly most zones in the Somalia region, were identified as cold spot zones with the lowest HIV odds ratio. The odds of HIV+ were higher for those who reside in rural areas than in urban areas. Furthermore, people who have STIs, who used contraceptive methods, and who learned at the secondary level of education were more likely to be infected with HIV. After adjusting for confounding variables, the results indicated that there are substantially significant spatial variations in HIV prevalence across Ethiopian zones. These results provide essential information to strategically target geographic areas to allocate resources and policy interventions at zonal level administrations.

Geospatial patterns of progress towards UNAIDS '95-95-95' targets and community vulnerability in Zambia: insights from population-based HIV impact assessments

INTRODUCTION

In sub-Saharan Africa, HIV/AIDS remains a leading cause of death. The UNAIDS established the '95-95-95' targets to improve HIV care continuum outcomes. Using geospatial data from the Zambia Population-based HIV Impact Assessment (ZAMPHIA), this study aims to investigate geospatial patterns in the '95-95-95' indicators and individual-level determinants that impede HIV care continuum in vulnerable communities, providing insights into the factors associated with gaps.

METHODS

This study used data from the 2016 ZAMPHIA to investigate the geospatial distribution and individual-level determinants of engagement across the HIV care continuum in Zambia. Gaussian kernel interpolation and optimised hotspot analysis were used to identify geospatial patterns in the HIV care continuum, while geospatial k-means clustering was used to partition areas into clusters. The study also assessed healthcare availability, access and social determinants of healthcare utilisation. Multiple logistic regression models were used to examine the association between selected sociodemographic and behavioural covariates and the three main outcomes of study.

RESULTS

Varied progress towards the '95-95-95' targets were observed in different regions of Zambia. Each '95' displayed a unique geographical pattern, independent of HIV prevalence, resulting in four distinct geographical clusters. Factors associated with gaps in the '95s' include younger age, male sex, and low wealth, with younger individuals having higher odds of not being on antiretroviral therapy and having detectable viral loads.

CONCLUSIONS

Our study revealed significant spatial heterogeneity in the HIV care continuum in Zambia, with different regions exhibiting unique geographical patterns and levels of performance in the '95-95-95' targets, highlighting the need for geospatial tailored interventions to address the specific needs of different subnational regions. These findings underscore the importance of addressing differential regional gaps in HIV diagnosis, enhancing community-level factors and developing innovative strategies to improve local HIV care continuum outcomes.

Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach

BACKGROUND

Precise geographical targeting is well recognised as an indispensable intervention strategy for achieving many Sustainable Development Goals (SDGs). This is more cogent for health-related goals such as the reduction of the HIV/AIDS pandemic, which exhibits substantial spatial heterogeneity at various spatial scales (including at microscale levels). Despite the dire data limitations in Low and Middle Income Countries (LMICs), it is essential to produce fine-scale estimates of health-related indicators such as HIV/AIDS. Existing small-area estimates (SAEs) incorporate limited synthesis of the spatial and socio-behavioural aspects of the HIV/AIDS pandemic and/or are not adequately grounded in international indicator frameworks for sustainable development initiatives. They are, therefore, of limited policy-relevance, not least because of their inability to provide necessary fine-scale socio-spatial disaggregation of relevant indicators.

METHODS

The current study attempts to overcome these challenges through innovative utilisation of gridded demographic datasets for SAEs as well as the mapping of standard HIV/AIDS indicators in LMICs using spatial microsimulation (SMS).

RESULTS

The result is a spatially enriched synthetic individual-level population of the study area as well as microscale estimates of four standard HIV/AIDS and sexual behaviour indicators. The analysis of these indicators follows similar studies with the added advantage of mapping fine-grained spatial patterns to facilitate precise geographical targeting of relevant interventions. In doing so, the need to explicate socio-spatial variations through proper socioeconomic disaggregation of data is reiterated.

CONCLUSIONS

In addition to creating SAEs of standard health-related indicators from disparate multivariate data, the outputs make it possible to establish more robust links (even at individual levels) with other mesoscale models, thereby enabling spatial analytics to be more responsive to evidence-based policymaking in LMICs. It is hoped that international organisations concerned with producing SDG-related indicators for LMICs move towards SAEs of such metrics using methods like SMS.

Knowledge, attitude, and practices toward infection prevention and control among undergraduate pharmacy students in Zambia: findings and implications

Background

Infection prevention and control (IPC) measures are critical in preventing the risk of acquiring and transmitting nosocomial infections. In Zambia, there is little information concerning IPC practices among pharmacy students who are exposed to potentially infectious areas both in public and private healthcare settings. Therefore, this study assessed the knowledge, attitude, and practices of undergraduate pharmacy students toward infection prevention and control at the University of Zambia.

Materials and methods

This cross-sectional study was conducted among 290 undergraduate pharmacy students at the University of Zambia using a structured questionnaire from August 2022 to October 2022. Data analysis was performed using SPSS version 25.0, and statistical significance was set at a 95% confidence level.

Results

Of the 290 participants, 166(57.2%) were female and the majority were aged between 18 and 23 years. Overall, 252(86.9%) had good knowledge, 167(57.6%) had positive attitudes, and 248(85.5%) had good practices toward IPC measures. These results indicate lower attitude scores compared to knowledge and practices. Having good knowledge of IPC was associated with being a Christian by religion compared to other religions (OR = 5.314, 95% CI: 1.141-24.745). There was no association between sociodemographics and attitude and practice concerning IPC.

Conclusion

This study found that pharmacy students had good knowledge, positive attitudes, and good practices toward IPC measures. Consequently, more emphasis is needed to improve the student's knowledge, attitudes, and practices toward IPC, especially in areas where gaps were identified. Additionally, there is a need to improve curricula on IPC measures in the training of pharmacy programs.

Why is there a gap in self-rated health among people with hypertension? A decomposition of determinants and rural-urban differences

Background

Hypertension affects over one billion people globally and is one of the leading causes of premature death. The low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from the more affluent and urban population towards the poorer and rural communities. Our study examined inequalities in self-rated health among people with hypertension and whether there is a rural-urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa.

Methods

We utilized the Zambia Household Health Expenditure and Utilization Survey for the data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from a previous study. The linear probability model provided a preliminary assessment of the association between self-rated health and independent variables. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups.

Results

Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (62%), district HIV prevalence (26%) and household expenditure (12%) being the most important determinants that explain the health gap.

Conclusions

Urban hypertension patients have better SRH than rural patients in Zambia. Educational interventions, financial protection schemes and strengthening hypertension health services in rural areas can significantly reduce the health gap between the two regions.

Geospatial Patterns of Progress towards UNAIDS "95-95-95" Targets and Community Vulnerability in Zambia

In sub-Saharan Africa, HIV/AIDS remains a leading cause of death. The UNAIDS established the "95-95-95" targets to improve HIV care continuum outcomes. Using geospatial data from the Zambia Population-based HIV Impact Assessment (ZAMPHIA), this study aims to investigate geospatial patterns in the "95-95-95" indicators and individual-level determinants that impede HIV care continuum in vulnerable communities, providing insights into the factors associated with gaps. This study used data from the 2016 ZAMPHIA to investigate the geospatial distribution and individual-level determinants of engagement across the HIV care continuum in Zambia. Gaussian kernel interpolation and optimized hotspot analysis were used to identify geospatial patterns in the HIV care continuum, while geospatial k-means clustering was used to partition areas into clusters. The study also assessed healthcare availability, access, and social determinants of healthcare utilization. Multiple logistic regression models were used to examine the association between selected sociodemographic and behavioral covariates and the three main outcomes of study. Varied progress towards the "95-95-95" targets were observed in different regions of Zambia. Each "95" displayed a unique geographic pattern, independent of HIV prevalence, resulting in four distinct geographic clusters. Factors associated with gaps in the "95s" include younger age, male sex, and low wealth, with younger individuals having higher odds of not being on ART and having detectable viral loads. Our study revealed significant spatial heterogeneity in the HIV care continuum in Zambia, with different regions exhibiting unique geographic patterns and levels of performance in the "95-95-95" targets, highlighting the need for geospatial tailored interventions to address the specific needs of different subnational regions. These findings underscore the importance of addressing differential regional gaps in HIV diagnosis, enhancing community-level factors, and developing innovative strategies to improve local HIV care continuum outcomes.

Evidence of Community-Wide Spread of Multi-Drug Resistant Escherichia coli in Young Children in Lusaka and Ndola Districts, Zambia

Increased antimicrobial resistance (AMR) has been reported for pathogenic and commensal Escherichia coli (E. coli), hampering the treatment, and increasing the burden of infectious diarrhoeal diseases in children in developing countries. This study focused on exploring the occurrence, patterns, and possible drivers of AMR E. coli isolated from children under-five years in Zambia. A hospital-based cross-sectional study was conducted in the Lusaka and Ndola districts. Rectal swabs were collected from 565 and 455 diarrhoeic and healthy children, respectively, from which 1020 E. coli were cultured and subjected to antibiotic susceptibility testing. Nearly all E. coli (96.9%) were resistant to at least one antimicrobial agent tested. Further, 700 isolates were Multi-Drug Resistant, 136 were possibly Extensively-Drug Resistant and nine were Pan-Drug-Resistant. Forty percent of the isolates were imipenem-resistant, mostly from healthy children. A questionnaire survey documented a complex pattern of associations between and within the subgroups of the levels of MDR and socio-demographic characteristics, antibiotic stewardship, and guardians' knowledge of AMR. This study has revealed the severity of AMR in children and the need for a community-specific-risk-based approach to implementing measures to curb the problem.

Health care seeking in modern urban LMIC settings: evidence from Lusaka, Zambia

Background

In an effort to improve population health, many low- and middle-income countries (LMICs) have expanded access to public primary care facilities and removed user fees for services in these facilities. However, a growing literature suggests that many patients bypass nearby primary care facilities to seek care at more distant or higher-level facilities. Patients in urban areas, a growing segment of the population in LMICs, generally have more options for where to seek care than patients in rural areas. However, evidence on care-seeking trajectories and bypassing patterns in urban areas remains relatively scarce.

Methods

We obtained a complete list of public health facilities and interviewed randomly selected informal sector households across 31 urban areas in Lusaka District, Zambia. All households and facilities listed were geocoded, and care-seeking trajectories mapped across the entire urban area. We analyzed three types of bypassing: i) not using health centers or health posts for primary care; ii) seeking care outside of the residential neighborhood; iii) directly seeking care at teaching hospitals.

Results

A total of 620 households were interviewed, linked to 88 health facilities. Among 571 adults who had recently sought non-emergency care, 65% sought care at a hospital. Among 141 children who recently sought care for diarrhea, cough, fever, or fast breathing, 34% sought care at a hospital. 71% of adults bypassed primary care facilities, 26% bypassed health centers and hospitals close to them for more distant facilities, and 8% directly sought care at a teaching hospital. Bypassing was also observed for 59% of children, who were more likely to seek care outside of the formal care sector, with 21% of children treated at drug shops or pharmacies.

Conclusions

The results presented here strongly highlight the complexity of urban health systems. Most adult patients in Lusaka do not use public primary health facilities for non-emergency care, and heavily rely on pharmacies and drug shops for treatment of children. Major efforts will likely be needed if the government wants to instate health centers as the principal primary care access point in this setting.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13549-3.