COVID

Misinformation circulating through digital platforms and community networks increasingly challenges public health communication, particularly in low-and middle-income countries. Frontline health educators play a critical role in addressing misinformation and promoting accurate health information within primary health care systems; however, empirical evidence on their preparedness to manage infodemics remains limited. This study assessed the training needs and response capacity of primary health care health educators in Lagos State, Nigeria. A convergent mixed-methods design was employed across three districts. Quantitative data were collected from 95 health educators using the 30-item Health Educators Infodemic Management Training Needs Assessment Questionnaire (HEIM-TNAQ). Qualitative data were obtained through six focus group discussions involving 56 educators and 25 key informant interviews with supervisors and programme managers. Quantitative data were analysed using descriptive statistics and t-tests, while qualitative data were analysed thematically. Participants demonstrated relatively strong knowledge of health misinformation (mean = 71.5), but only moderate decision-response skills (48.6) and low confidence in addressing misinformation (42.5). Integration of misinformation response into routine practice was also limited (46.3), and no significant differences were observed between respondents with or without prior training. Qualitative findings revealed frequent exposure to vaccine rumours, spiritual explanations for illness, and misinformation circulating through social media and community networks. Strengthening infodemic management within primary health care requires practical training, behavioural communication skills, and institutional mechanisms for systematic rumour monitoring and response.

BackgroundZero-dose children, defined as those who have not received the first dose of a diphtheria-tetanus-pertussis-containing vaccine (DPT1), are a key indicator of inequitable access to immunization services. Nigeria remains one of the largest contributors to the global burden of zero-dose children. This study estimated the prevalence of zero-dose children aged 12-23 months and identified individual-and community-level determinants using the 2024 Nigeria Demographic Health Survey (NDHS). MethodsA secondary analysis of cross-sectional analysis was conducted using data from 4,711 children aged 12-23 months in the 2024 NDHS kids recode dataset. A multilevel mixed-effects logistic regression model was fitted to account for the hierarchical structure of the data. Four models were compared: null, individual-level, community-level, and combined models. Adjusted odds ratios (AORs) with 95% confidence interval (CI) were used to identify significant determinants at p<0.05. ResultsThe weighted prevalence of zero-dose children was 37.3% (95% CI: 35.1-39.6%). Significant factors included birth order, maternal age, maternal occupation, parental education, household wealth, antenatal attendance, postnatal care utilization, place of delivery, religion, distance to health facilities, and geographical region. Children whose mothers had higher educational attainment, attending antenatal care, deliver in the health facilities, and received postnatal care were significantly less likely to be zero-dose status. Conversely, children from poorer households, those facing distance barriers to health facilities, those belongings to Muslim and traditional religion group and those residing in certain geographical regions had higher odds of zero-dose children, with significant regional variations observed. Conclusionzero-dose vaccination remains highly prevalent in Nigeria and is strongly influenced by socioeconomic disadvantage, maternal healthcare utilization, religion, and regional inequities. Strengthening integrated maternal and child health services and improving access in underserved regions are essential to achieving equitable vaccination coverage.

Introduction-India's immunization initiatives are among the largest globally, characterized by a substantial birth cohort of 27 million children annually, and have achieved significant progress in increasing coverage through the UIP. However, there are still challenges that persist, and multiple determinants contribute to the existing challenges; parental migration is one of them. Migration has always been a key driver of socio-economic and demographic changes, particularly in low and middle-income countries (LMICs). Specifically, there is a need to better understand the vulnerabilities of immunization among recent migrants. To examine this, the study explores the association between a mother's recent migration and the full immunization coverage of children aged 12-23 months in India. Data & Methods-Our study utilized data from the National Family Health Survey-5 (2019-21). The outcome variable of interest in this study is the receipt of all basic vaccinations (full immunization) for children. The primary predictor variable in this study is the children's migration status. We used a series of multivariate logistic regression models to examine the relationship between full Immunization and recent migration of children, with some data restrictions in the models. Results - The results show a 17% difference in full immunization between migrant and non-migrant children. The odds ratios for children who had recently migrated were lower for full immunization (OR: 0.39, 95% CI: 0.35-0.43) compared to children who had not recently migrated. Even across the household wealth quintile and social groups, the recent migration of children was associated with being less likely to be fully immunized among children 12-23 months. Conclusion- The findings of this study provide significant quantitative evidence that recent migration (less than 3 years) of children is a key factor influencing Immunization coverage and is a predictor of full vaccination among children aged 12-23 months in India. The recent migration was consistently linked to a lower likelihood of full immunization coverage across different household wealth levels and social groups. This study suggests that recently migrated children are a vulnerable subgroup of the population at risk of not receiving all basic vaccinations by their first birthday.

IntroductionCommunity engagement is increasingly seen as essential within vaccination programming to improve uptake of vaccines, build trust and foster community ownership. Yet the goals and mechanisms of such interventions are often contested or not explicit. This article aims to address this by examining how those directly involved in implementing community engagement understand its intended aims and outcomes. We use as a case study a risk communication and community engagement (RCCE) intervention implemented by the Nigeria and Ethiopia Red Cross/Red Crescent with support from the IFRC for COVID-19 vaccination. MethodsWe conducted 41 interviews, 12 participatory workshops and citizen ethnography in Dire Dawa, Ethiopia and Kano, Nigeria including with Red Cross/Red Crescent and vaccination staff, vaccine users and community members. We explored how participants understood the RCCE interventions theory of change, including how it was expected to work, for whom, under what circumstances, and why. ResultsParticipants described RCCE activities as a mix of two-way (such as house-to-house visits) and mass approaches (such as media campaigns). These interventions were primarily seen as enhancing vaccine knowledge and countering misinformation. Key mechanisms included vaccine users willingness to act on the information provided, however this was heavily influenced by the credibility and trustworthiness of the bearers of vaccine information. While feedback mechanisms existed, communities were not involved in designing vaccination strategies. Efforts were shaped by a context with unpredictable vaccination campaigns, supply constraints and parallel RCCE efforts by community actors. ConclusionsWe show that in this theory of change messengers are more influential than the messages themselves. By developing a theory of change with our participants, we highlight the lack of clarity within the sector regarding the definition and expected impact of community engagement and reveal a gap between community engagement practice on the ground and normative goals such as co-production and dialogue. Key messagesO_ST_ABSWhat is already known on this topicC_ST_ABSRisk communication and community engagement (RCCE) is widely used to improve vaccination programmes, but there is limited evidence on how such interventions are expected to work, for whom, under what circumstances and why. What this study addsWe examined how those involved in implementing a Red Cross/Red Crescent and IFRC RCCE intervention in Ethiopia and Nigeria understood the aims and outcomes of this intervention. Whilst our study participants believed their main goal was to share correct vaccine information to counter rumours, we found that trust in the people who delivered the information was often more important than the information delivery itself. How this study might affect research, practice or policyOur research highlights tension between normative ideals of community engagement and how it is understood and practiced by implementors in humanitarian contexts, and underscores the need to move beyond knowledge-deficit approaches.

ObjectiveThis study aimed to assess the effectiveness of SMS and voice message reminders in reducing the dropout rate in Lome-Togo, in 2026. MethodsWe conducted a cross-sectional study between October 2025 and March 2026 in the Grand Lome region. The intervention consisted of an integrated digital system used by health facilities to send automated SMS. Categorical variables were described in terms of frequency and proportion; Fishers exact test was used to compare proportions. Quantitative variables were described by their means accompanied by their standard deviation; the Wilcoxon rank-sum test was used to compare means. The significance level for statistical tests was set at 5%. ResultsA total of 30 health facilities were included. Seventy percent (70.0%) of the health facilities used messages associated with calls. Ninety percent (90.0%) of participants found the reminders useful, and 60.0% reported an improvement in Expanded Program on Immunization services related to their use. Among participants who received a reminder, 51.0% kept their vaccination appointments. The Penta 1/3 dropout rate decreased from 3.2% before the intervention to 1.3% (p < 0.001). Among the 323 parents of children included, only 20.74% reported receiving a reminder by phone. Sixty-point-five percent (60.5%) preferred to receive both text messages and voice calls. ConclusionThis study demonstrates the operational feasibility of an SMS/call-based reminder system in reducing dropout rate for childhood vaccination in Togo.

Objectives To explore the prevalence, spatial aggregation, and demographic correlates of climate change awareness among adults in Nigeria, as well as impacts on humanitarian health preparedness. Design Nationally representative cross-sectional survey with multivariate logistic regression and Global Moran's I and LISA techniques of spatial autocorrelation analyses was applied. Setting All 36 states and the Federal Capital Territory, Nigeria. Participants 1,600 adults drawn from the Afrobarometer Round 9 nationally representative survey. Interventions None. Main Outcome Measures Prevalence, spatial aggregation, and demographic correlates of climate change awareness among adults in Nigeria, and impacts on humanitarian health preparedness. Results Less than one in three Nigerians (30.1%) was aware of climate change, significantly lower than the 65% found in the continent, and education is the most predictive factor, with tertiary-educated Nigerians more than ten times more likely to be aware of climate change than those with no formal education. Most critically, the poor performance in government climate policies is not found in low-awareness states, but in two geographically distinct risk corridors based on a different mechanism and requiring a different policy response. Conclusions The finding shows that the gap in climate awareness is not a communication problem, it is a structural problem - one that requires a national intervention to reduce and close, but that might not be enough because of educational inequality, gender disparity and geographic marginalization. To prepare the country for humanitarian needs, targeted state-level, gender-responsive programming based on Nigeria's Climate Change Act 2021 is required, and effective intervention to make adaptation to the health impacts of climate change happen will need to start with triggering awareness into adaptive health action before climate hazards surpass the country's humanitarian response capacity. Registration Not applicable. Keywords: Climate change awareness; spatial autocorrelation; humanitarian health preparedness; educational inequality; Nigeria

Background Cutaneous leishmaniasis (CL) is highly prevalent in Ethiopia, including the Tigray region. However, there is a dearth of information on the levels of knowledge, attitude, and health seeking behavior among the communities in CL-endemic areas of Tigray region, northern Ethiopia. Objective This study aimed to investigate CL-related knowledge, attitude, treatment-seeking and prevention practices in disease-endemic areas of Tigray. Methods Between November and December 2022, a cross-sectional survey was conducted among communities living in seven districts of Tigray. A mixed sampling method was implemented. Data were collected using a pre-tested structured questionnaire and analyzed using SPSS 25 (IBM, Chicago). Results A total of 512 participants were included. Overall, 43%, 36% and 34% of participants had a good level of knowledge, a favorable attitude and a good treatment-seeking and prevention practices towards CL, respectively. However, nearly all participants did not know about CL transmission, about 25% perceived CL to be genetically acquired and about 67% believed it to be stigmatizing. Traditional medication was the preferred option over modern treatment for 63.3%. Rural dwelling participants (AOR = 1.60; 95% CI: 1.00-2.57) and participants living in households with CL episode (AOR = 10.19; 95% CI: 6.36-16.30) had good knowledge towards the disease. However, urban/ semi-urban residents (AOR = 2.17; 95% CI: 1.42-3.31) had favorable attitude towards CL. Gender (AOR = 1.49; 95% CI: 1.01-2.22) and education level (AOR = 0.39; 95% CI: 0.24-0.62) were significantly associated with treatment-seeking and prevention practices. Participants living in households with CL episode (AOR = 2.99; 95% CI: 1.96-4.57) had good treatment-seeking and prevention practices. Conclusion In this study, over one half of participants had poor knowledge about CL, nearly two-third of them had unfavorable attitude towards the disease and two-third of them had poor treatment-seeking and prevention practices. Residence and previous CL episode in households were determinants of respondents knowledge about CL and their attitude towards the disease. Level of education and living in households with CL episode were determinants of participants treatment-seeking and prevention practices. These findings support for an integrated intervention through health education focusing on CL transmission and preventive measures.

IntroductionEmpirical evidence linking specific national structural policies to the provision of key HIV services in low- and middle-income settings remains scarce. This study addresses the research gap by quantifying the within-country relationships between six national structural policy indicators and the presence of the HIV prevention service component targeted at sex workers in Southeast Asia. MethodsWe constructed a balanced panel dataset covering eight Southeast Asian countries from 2018 to 2025 from the UNAIDS Global AIDS Monitoring (GAM) framework. We used Fixed-Effects (FE) and Random-Effects (RE) models to analyse the relationships, with the FE model selected as the more statistically appropriate estimator. We enhanced robustness by using clustered standard errors and one-period lagged explanatory variables. ResultsThe primary finding from the FE model indicated a statistically significant and positive contemporaneous association between the existence of legal or administrative barriers to social protection (barriers_spi,t) and the presence of HIV prevention services for sex workers ({beta} = 0.8531; p< 0.001). However, the robustness check revealed a statistically significant negative association between the two when using the lagged barrier variable (barriers_spi,t-1), suggesting a decline in HIV prevention service availability over time ({beta} = -0.3540; p < 0.05). We did not find any other policy variables coefficient to be statistically significant in the FE models. ConclusionsWhile the immediate recognition (contemporaneous effect) of structural barriers to access social protection may occur alongside prioritised HIV prevention service provision, the sustained presence of these impediments acts as a long-term constraint that undermines the effectiveness and sustainability of targeted HIV programmes. National HIV programmes must urgently prioritise the removal of structural barriers to ensure long-term service stability for key populations. Key MessagesO_LIWhat is already known on this topic: The global HIV response requires addressing structural determinants, such as legal barriers to social protection, to achieve epidemic control. However, there is a lack of robust empirical evidence linking the adoption of specific national structural policies to the actual availability of essential HIV services for key populations in low- and middle-income settings. C_LIO_LIWhat this study adds: This study provides the first evidence using FE panel data that the existence of national policy barriers to social protection is initially associated with a higher likelihood of having an HIV prevention service component for sex workers. The study also demonstrates that this positive association is short-lived, with the sustained presence of the barrier negatively impacting HIV prevention service availability for sex workers in the subsequent year. C_LIO_LIHow this study might affect research, practice or policy: Policymakers should recognise that simply identifying and reporting structural barriers, while perhaps coinciding with initial HIV prevention service investment, is insufficient for sustained policy intervention effectiveness. Policy should focus not just on the adoption of targeted programmes but on the urgent removal of structural barriers to ensure the long-term sustainability and success of prevention services for key populations. C_LI

BackgroundImplementing proven vehicle safety standards recommended by the UN World Forum for Harmonization of Vehicle Regulations is among the most cost-effective strategies to reduce road traffic deaths. In 2022, Mexico approved updated vehicle safety standards, including side pole testing, electronic stability control, seatbelts, airbags, side structures, and anchorage child restraint systems. However, pedestrian protection and advanced driver-assistance technologies, such as autonomous emergency braking systems (AEBS), were excluded. These exclusions are critical, given that more than half of road traffic deaths involve vulnerable road users. Local evidence on the expected benefits of implementing comprehensive vehicle safety standards is needed to guide policy decision-making. ObjectiveTo estimate the potential public health impact of increasing the availability of recommended vehicle safety technologies in Mexico. MethodsWe conducted a comparative risk assessment analysis to estimate the impact of improving vehicle safety standards on road traffic deaths, injuries, and disability-adjusted life years. Counterfactual analyses were defined using traffic statistics for 2019 as baseline, relative risk estimates associated with each safety technology, and technology penetration within Mexicos vehicle fleet. Three scenarios were modeled: (1) full implementation of Mexicos 2022 standards; (2) addition of crashworthiness, AEBS, and motorcycle ABS/ESC; and (3) inclusion of expanded AEBS crash configurations, lane departure warning (LDW), and lane keeping assistance (LKA) systems. ResultsScenario 1 reduced deaths by 18%, injuries by 16%, and DALYs by 18%, with the greatest benefits for car occupants. Scenario 2 reduced deaths by 29%, injuries by 27%, and DALYs by 30%, benefiting motorcyclists and pedestrians the most. Scenario 3 reduced deaths, injuries, and DALYs by 41%, 38%, and 41%, respectively, benefiting car occupants and motorcyclists. ConclusionsCurrent vehicle safety standards in Mexico are expected to reduce deaths, injuries, and disabilities, yet existing guidelines focus largely on protecting car occupants. Mexico should strive to update and strengthen its current legislation by adding technologies that protect vulnerable road users, such as pedestrians and cyclists, and to focus on technologies for motorcycle users to further reduce the burden of road traffic injuries.

As climate change intensifies, health risks from extreme heat are rising. Accurate assessment of heat vulnerability at high spatial resolution is crucial for developing effective adaptation strategies, particularly in socioeconomically heterogeneous urban settings. However, the identification of key indicators underlying heat vulnerability remains challenging. Using Chicago, Illinois (USA) as a case study, we systematically compare different variable selection strategies in community-level heat vulnerability assessments. We take the conventional unsupervised principal component analysis (PCA)-based Heat Vulnerability Index (HVI) as a baseline, and compare it with supervised approaches that incorporate variable selection, including machine learning algorithms (Lasso regression, Random Forest, and XGBoost) as well as traditional statistical methods (simple linear regression and polynomial regression). Using the vulnerability indicator subsets identified by each variable selection method, we construct multiple HVIs and evaluate their performance against heat-related excess mortality. Our work indicates that supervised variable selection improves the performance of HVIs in capturing heat-related health risks. Among all methods, the Random Forest-based variable selection algorithm achieves the best overall results, highlighting the potential of machine learning to enhance heat vulnerability assessment tools. Our results demonstrate that poverty rate, lack of air conditioning, and proportion of residents aged 65 and above are robust determinants of heat vulnerability in Chicago.

Background: Incomplete childhood vaccination undermines individual and herd immunity and increases vulnerability to vaccine-preventable diseases. Understanding local determinants of vaccination adherence is essential for targeted interventions. This study assessed routine immunization completion and dropout patterns among children aged 0-15 months in Bayelsa State, Nigeria. Objectives: To determine vaccination completion rates, identify factors influencing adherence, analyze temporal patterns across immunization milestones, and provide evidence-based recommendations for improving coverage. Methods: A comparative longitudinal study was conducted from March 2023 to July 2024 across three Local Government Areas (LGAs), representing each senatorial district. A total of 369 mother-child pairs (123 per LGA) were enrolled. Data were obtained from health facility immunization registers and supplemented with semi-structured questionnaires. Children were followed through the 6th week, 10th week, 14th week, 9th month, and 15th month immunization visits. Completion rates were analyzed using descriptive statistics and chi-square tests. Ethical approval was obtained from the State Ministry of Health, and informed consent was obtained from all mothers. Results: Completion rates varied across LGAs, with the highest in LGA C (86.2%) and lowest in LGA B (61.0%). Phone-based reminders achieved the highest adherence, outperforming routine and home visit strategies. Progressive attrition was observed along the immunization schedule, with dropout exceeding completion by the 15th month. Principal reasons for non-completion included forgetfulness, travel, and caregiver busyness. Maternal age, education, and occupation significantly influenced adherence, indicating disparities across LGAs. Conclusion: Vaccination adherence is shaped by maternal characteristics and operational strategies. While early-stage coverage is high, attrition increases at later milestones, particularly in LGAs with lower resource engagement. Recommendations: Implement targeted phone-based reminders, milestone-specific outreach, and community engagement programs to reduce dropout, enhance timely completion, and strengthen childhood immunity.

BackgroundAvian Influenza (AI) is a potential pandemic threat, specifically when human-to-human transmission occurs. For outbreak management testing is essential. Current knowledge on testing behaviour is mostly derived from other infectious diseases such as COVID-19. It is necessary to identify determinants of testing behaviour for AI in an early phase. Therefore, this interview study aims to identify a wide range of behavioural determinants of testing during a hypothetical human-to-human transmissible AI outbreak. MethodsSemi-structured in-depth interviews, based on the Theoretical Domains Framework, were carried out between May 2024 and February 2025. Participants were included through purposive and convenience sampling. During the interviews an animation was shown illustrating a hypothetical AI outbreak. Verbatim transcripts were thematically analysed. ResultsWe included seventeen participants (median age 44, range 20-81; 71% women) with diverse backgrounds in terms of age, gender, educational level and country of birth. We found that having the freedom to decide to test would make testing more acceptable, whereas a decreased sense of autonomy would discourage testing. Most themes included individual rather than population-level benefits as drivers of testing behaviour. These included protecting loved ones, ones own health and gaining psychological reassurance. External conditions like being unable to go to work or an event would generally encourage testing behaviour. Lower trust in governmental authorities could hamper testing behaviour. Previous experiences from the COVID-19 pandemic shaped participants answers about AI testing behaviour. ConclusionKey considerations include balancing peoples need for autonomy with the external measures imposed by employers or the government, rebuilding trust in institutions and acknowledging how prior experiences with testing may shape testing behaviour in future AI outbreaks. Further research is needed to determine how these findings can be translated into effective communication and how trust in authorities can be build.

Human diversity did not only remain restricted to their socio-cultural and linguistic domains but also have penetrated deep inside their genetic root. Africa harbors more genetic diversity than any other part of the world. Diversification of the African lineages were complex, involving long-distance gene flow. Data from Africansis needed to better understand the origin and evolution of modern humans, the genetic basis local adaptation, and the evolution of complex traits and related diseases. This analysis formed the basis for this study of determining the origin and migration of the Ameru community in Kenya. Blood samples was collected from 132 male adults of 65 year and above. DNA was extracted and analyzed for the Hyper variable region 1and 2. The sequences were sequenced using Sanger sequence alignment and analyzed using Geneious. Phylogenetic analysis was done using Mega-X while haplotype analysis was done using DNASP software. L1 haplogroup (2.9%) was found among Igembe (7%), Tharaka (6%), and Chuka (7%) and is common in West, Central, and parts of East Africa. L2 haplogroup (6.7%) was present in all subgroups except Imenti and Tigania, indicating West and Central African maternal ancestry. L1 and L2 haplotypes indicate that most Ameru subgroups share partial maternal ancestry from West and Central Africa, while Imenti and Tigania have different maternal lineages. L0-L4 haplogroups indicate predominant East, Central, and West African maternal origins, with subgroups showing variation in haplotype frequencies (e.g., L1 and L2 in Igembe, Tharaka, Chuka; L3 in Tharaka, Mwimbi, Chuka; L4 across all subgroups). Subgroup differences suggest that certain communities, particularly Imenti, have distinct maternal lineages, with less contribution from L1, L2, and L3 but potential links to Afro-Asiatic groups via L4 (found in the Middle East). Non-African haplogroups (N and R) point to historical interactions or shared ancestry with populations in Eurasia and the Horn of Africa, primarily in Tigania and Imenti. Overally, the Ameru maternal gene pool is heterogeneous, shaped by multiple migration routes and interactions across East Africa and beyond, with subgroup-specific maternal histories.

BackgroundHuman papillomavirus (HPV) infection is a major public health concern in Cameroon, where cervical cancer remains the second leading cause of cancer-related morbidity and mortality among women. Despite the availability of effective preventive measures, their uptake remains suboptimal and is influenced by population-level knowledge and awareness. This study aimed to synthesize existing evidence on HPV-related knowledge and its associated factors in Cameroon. MethodsThis review included studies assessing knowledge of HPV as a sexually transmitted infection (STI), its causal role in cervical cancer, and overall good HPV knowledge. A comprehensive and systematic search was conducted across PubMed, Scopus, Web of Science, Embase, the Cochrane Library, and local online databases. Study quality was appraised using the Joanna Briggs Institute critical appraisal tool. Pooled prevalence estimates were calculated using random-effects models (DerSimonian and Laird). Heterogeneity was assessed using the I{superscript 2} statistic and explored through subgroup analyses. ResultsA total of 32 studies involving 13,{square}457 participants were included. The pooled prevalence of overall good HPV knowledge was 27.4% (95% CI: 7.6-63.2; 7 studies; n = 3,312), with considerable heterogeneity (I{superscript 2} = 99.3%). Knowledge of HPV as a cause of cervical cancer was 27.9% (95% CI: 15.8-44.4; 26 studies; n = 8,688), while knowledge of HPV as an STI was 47.1% (95% CI: 31.4-63.5; 18 studies; n = 9,040). Healthcare workers demonstrated the highest levels of knowledge (80.2% for HPV as an STI; 78.7% for HPV as a cause of cervical cancer), whereas students (43.4% and 10.2%, respectively) and women from the general population (30.6% and 19.9%, respectively) showed substantially lower levels. Factors associated with poor knowledge included Christian affiliation (OR = 1.46; 95% CI: 0.08-26.06) and secondary level education (OR = 1.32; 95% CI: 0.66-2.63), although these associations were non-significant. ConclusionsThis study reveals that, HPV-related knowledge in Cameroon remains low, particularly regarding the causal link between HPV and cervical cancer. These findings highlight the urgent need for targeted, context-specific educational interventions and strengthened public health strategies to improve awareness and uptake of HPV prevention measures. Systematic review registrationPROSPERO CRD420261283152.

Background: Infections of the central nervous system (CNS) in children remain a major cause of mortality and long-term disability globally, particularly in low- and middle-income countries (LMICs), where a high proportion of cases lack an identified pathogen. Sporadically, human parvovirus 4 (PARV4) has been detected in a small number of cerebrospinal fluid (CSF) from children with CNS infections, but its pathogenic role is unclear. We investigated the prevalence, clinical impact, and genomic characteristics of PARV4 in children with suspected meningitis. Methods: We retrospectively analyzed CSF samples collected from children with WHO-defined suspected meningitis at the largest pediatric hospital in Bangladesh between 2015-2022. All samples underwent routine diagnostics, including bacterial culture and serological testing. Additional testing for PARV4 and parvovirus B19 was performed using qPCR of samples with >9 white blood cell (WBC)/ul followed by metagenomic sequencing of a subset. Clinical and laboratory data were extracted from patient records. Associations between PARV4 detection and mortality were assessed using logistic regression, adjusting for age, WBC count, and co-infections. Genomic and phylogenetic analyses were conducted on PARV4-positive samples. Findings: Among 2,793 CSF samples with >9 WBC/ul, 526 (18.8%) were PARV4-positive. The median age of PARV4-positive cases was lower than that of PARV4-negative cases (4 vs 7 months, p<0.001). Co-infections were more common among PARV4-positive cases (49.6%) than PARV4-negative cases (16.4%). PARV4 positivity was independently associated with increased in-hospital mortality (adjusted odds ratio 2.09, 95%CI:1.46-2.96; p<0.001). Phylogenetic analysis indicated most strains belonged to genotype 2, with two sequences forming a distinct clade. Interpretation: PARV4 is frequently detected in the CSF of children with suspected meningitis and is associated with increased in-hospital mortality. Its high prevalence, detection early in life, and frequent co-infection with other pathogens highlight the need to investigate PARV4 as an emerging CNS pathogen in LMICs. Funding: Gates Foundation

Whether global warming drives thermal adaptation in arboviral vectors is an open question with direct consequences for forecasting transmission risk and informing effective vector control strategies. We subjected Aedes albopictus to experimental evolution (EE) under a tropical thermal regime (32{degrees}C/26{degrees}C) for three years and tracked fitness and behavioral traits, energy reserves and the fat body transcriptional profile across replicate lines at defined generational intervals. We show that mosquitoes strongly acclimate, trading longevity for accelerated development and increased reproduction. Over 15-20 generations of EE, mosquitoes gradually adjusted adult longevity to values of controls, reproductive traits reduced while maintaining values higher than those of controls, and the transcriptome converged to a distinct metabolic state. Upon relaxing thermal selection, half of the transcriptional changes of warm-evolved mosquitoes, along with traits of juvenile development and adult lifespan, reversed to values of controls, indicating a plastic basis. In contrast, progeny per female and egg freeing point maintained warm-evolved values upon relaxing thermal selection. Moreover, the mean and variance of 250 differentially expressed genes showed a significant correlation in warm-evolved mosquitoes, with a considerable reduction of expression variance upon relaxing thermal selection, signatures consistent with selection acting on a polygenic trait architecture. Modelling of the net reproductive rate across generations showed that egg-to-adult viability, not fecundity or longevity, is the primary driver of reproductive success under warm evolution. Our findings have immediate methodological and ecological implications: clinal studies or single-generation exposures risk attributing to adaptation changes driven by phenotypic plasticity, acclimation, genetic drift or population structure.

Bangladesh is experiencing emerging burden of Non-Communicable Diseases (NCDs). Non-communicable diseases (NCDs) are the emerging as major cause of morbidity and mortality, accounting for 61% of deaths in Bangladesh. The study aims to describe the prevalence of NCDs among pregnant women in teagardens in Moulvibazar district. Three teagardens of Sreemongol upazila in Moulvibazar district was selected randomly. The pregnant women were considered for collecting the NCD related information. A sample size of 86 was purposively selected based on relevant literature review. Data was collected by conducting face to face interview with the respondents through pre-tested semi-structured questionnaire. Data was analyzed with the help of SPSS Version 24 Software. For effective use of limited resources, an increased understanding of the shifting burden and better characterization of risk factors of NCDs including Hypertension is needed. Average age of the women attended for screening test was 23 (15-45) years. More than 47% women were found with Gravida 1. The mean duration of pregnancy was found 18.8 weeks. Above 24% percent of GDM women were found at low blood pressure but 2% were identified at high blood pressure. 28% were found underweight with BMI calculation but 11% were identified with overweight. The challenges tests for blood sugar findings of women were found 12.7% GDM positive (7.8-<11 mmol/L). About 16.5% had complications during pregnancy including anaemia, eclampsia, edema, diarrhoea etc. A community based NCDs surveillance model could be developed through participation Government health managers, experts and stakeholders, which were taken by local health system for implementation.

Background: Cervical cancer is the fourth most common cancer in women worldwide and remains a major public health challenge. In Ethiopia, it is the second leading cause of cancer deaths, with around 8,000 new cases and 6,000 deaths each year. Region?specific data on the prevalence and predictors of precancerous lesions remain scarce, yet such information is vital for guiding targeted reproductive health strategies. This study therefore examined the prevalence and predictors of cervical precancerous lesions among women aged 21-60 years undergoing Pap smear screening in public hospitals in Hawassa City, Sidama Region. Methods: An institution-based cross-sectional study was conducted among 241 women attending Pap smear screening at public hospitals in Hawassa City from March to August 2025. Sociodemographic and clinical data were collected via interviews and medical records. Lesions were classified based on the standardized international framework for reporting cervical cytology results from Pap smears per the Bethesda system. Multivariable logistic regression identified predictors p<0.05). Result: Of 241 women screened (mean age 35.3 years), cervical epithelial abnormalities were detected in 52 (prevalence 21.6%). Atypical squamous cells of undetermined significance was the most common abnormality (16.6%). Multivariable analysis showed HIV infection was significantly associated with precancerous lesions (AOR = 3.7, 95% CI: 1.69-8.12, p<0.05), while hormonal contraceptive use was protective (AOR = 0.27, 95% CI: 0.11-0.67, p<0.05). Conclusion: These results underscore the urgent need to strengthen cervical cancer prevention through targeted screening and early intervention. Integrating routine HIV testing with Pap smear programs would be especially valuable. Health authorities should expand accessible screening for women aged 21-60, with particular attention to those living with HIV, to help reduce the burden of precancerous lesions.

BackgroundHuman papillomavirus (HPV) vaccination is a key strategy for cervical cancer elimination. In Cameroon, HPV vaccine was introduced into the expanded program on immunization in 2020. However, synthesized evidence on vaccine acceptability is needed to guide policy. This systematic review and meta-analysis aimed to estimate the pooled prevalence of HPV vaccine awareness, willingness to vaccinate, recommendation practices, and actual uptake in Cameroon, and to identify determinants of vaccine hesitancy. MethodsWe searched PubMed, Scopus, Web of Science, Embase, Cochrane Library, and African Journals Online from studies to January 2025. Studies reporting willingness to vaccinate, awareness, recommendation, and uptake of HPV vaccine were included. Pooled prevalence estimates and odds ratios were calculated using random-effects models. Heterogeneity was assessed using the I{superscript 2} statistic. The study was reported following PRISMA 2020 guidelines and registered in PROSPERO ID: CRD420261301213. ResultsThirty-three studies were included. The pooled prevalence of willingness to vaccinate was 68.1% (95% CI: 57.4-77.2; 12 studies; n = 4,993; I{superscript 2} = 98%), while HPV vaccine awareness was 41.3% (95% CI: 28.7-55.1; 33 studies; n = 8,175 participants; I{superscript 2} = 98%). Two-thirds of participants (67.7%; 95% CI: 50.7-81.0; 8 studies; n = 1,617) reported recommending the vaccine, but actual uptake was only 22.9% (95% CI: 6.9-54.5; 9 studies; n = 9,686). Willingness significantly declined from 74.2% before 2014 to 57.5% after 2021. Healthcare workers had the highest awareness (74.5%) and willingness (77.8%). Lack of HPV knowledge was associated with nearly three-fold higher hesitancy (OR: 2.58; 95% CI: 2.06-3.22). ConclusionsDespite moderate willingness, HPV vaccine awareness and uptake remain low in Cameroon, with marked disparities across regions and populations. Addressing knowledge gaps and strengthening context-specific vaccination strategies are needed to improve coverage.

Influenza infection results from tightly coupled interactions between viral replication, host immune responses, and the emergence of clinical symptoms. While mathematical models have extensively characterized viral and immune dynamics, the mechanistic link between immune activity and disease severity remains poorly understood. Here, we develop an integrative within-host modeling framework that explicitly connects infection dynamics, immune responses, and symptom manifestation through a unified dynamical system. Using murine influenza data, we incorporate key immune components alongside a mechanistic representation of symptom progression, quantified via host weight loss. Our analysis identifies inflammatory signaling, particularly TNF--mediated pathways, as a central driver linking immune activity to symptom severity. Importantly, we demonstrate that age-dependent alterations in immune regulation reshape this coupling: aged hosts exhibit prolonged inflammatory responses that amplify and sustain symptom burden despite comparable viral kinetics. These results highlight that disease severity cannot be inferred from viral load alone, but instead emerges from the dynamical interplay between immune regulation and host physiology. This framework provides a quantitative basis for understanding age-specific morbidity and offers a foundation for designing interventions that target immune-mediated pathology rather than viral replication alone.