IJID Regions

BackgroundAdolescent girls and young women (AGYW) are disproportionately vulnerable to HIV. Despite expanded HIV testing services (HTS), the majority of AGYW remain unaware of their HIV status. This study aimed to assess determinants of HIV testing uptake among AGYW in mainland Tanzania before and after stratifying by age group (15-19 and 20-24 years) using data from three national surveys conducted over time. MethodologyA cross-sectional secondary data analysis was conducted using data from the Tanzania HIV Impact Surveys (2016/17 and 2022/23), obtained from the Population-based HIV Impact Assessment on 23/04/2025. Data analysis was performed using STATA version 17. Modified Poisson regression models were used to identify factors associated with HIV testing uptake before and after stratifying by age group (15-19 and 20-24 years). Results were presented using the adjusted prevalence ratio (APR) with a 95% confidence interval. ResultsHIV testing uptake among adolescents remained 40% in the years 2016/17 and 2022/23, while it increased from 86% to 90% among young women, respectively. Key factors consistently associated with higher prevalence of HIV testing uptake included being in a union, cohabiting, or formerly married; having secondary or higher education levels; and a history of sexually transmitted infections (STIs). ConclusionHIV testing uptake among AGYW in Tanzania has improved over time, with significant disparities between adolescents and young women. These findings highlight the need for age-specific strategies, intensifying adolescent-focused interventions while sustaining efforts among young women and reinforcing integrated reproductive health and HIV services.

IntroductionHemophagocytic lymphohistiocytosis (HLH) is a serious condition induced by Dengue virus which becomes fatal if not detected early and treated appropriately. So objectives of the present study are to observe the different patterns of presentations, clinical features and outcome of HLH induced by Dengue. MethodsIn this observational study, 14 patients admitted and diagnosed HLH as per diagnostic criteria, were included after informed written consent. Study conducted in a period of six months from 01/07/2025 to 31/12/2025. All patients were followed up till discharge. After collection, all data were analyzed by Microsoft Excel 2010. Ethical clearance was taken from Ethical Review Board of the Medical College. ResultsAmong 14 cases, male were more affected then the female (78.6% VS 21.4%) and majority were in between 20 to 50 years age groups. Clinical data showed, all 14 cases had fever for >7 days, joint pain 3(21.4%), headache 11(78.6%), skin rashes 10(71.4%), retro-orbital pain 2(14.3%), vomiting 11(78.6%),bleeding 10(71.4%), cough 4(28.6%), loose motion 9(64.3%), abdominal pain 7(50.0%), anorexia 2(14.3%), Melaena 2(14.3%), jaundice 4(28.6%) and spleenomegaly 9(64.3%). One(7.1%) case had history of Hypertension. Laboratory data showed different level of Bi or Pancytopenia, high ferritin, high TG, low fibrinogen, raised liver enzymes and low sodium. Dengue RT PCR and serology results showed 8(42.9%) cases were both IG M and Ig G dengue antibody positive, 6 cases were RT PCR positive, 2 cases were IgM and another 4 cases were IgG positive. Outcome of patients revealed, among all 14 cases12(85.8%) patients improved uneventfully and 2 were shifted to ICU where one improved and one died. ConclusionDengue is prevailing for long time and different complications are evolving and HLH is a relatively newer incident among the dengue patients. Infection by different serotypes at different time or multiple dengue serotype infection may be related with HLH and it might be a future subject to explore and to evaluate.

BackgroundThis study of Malawian children with rheumatic heart disease (RHD) sought to detect demographic, clinical, and echocardiographic risk factors for mortality. MethodsPediatric patients with RHD were recruited from March to October, 2018 from clinic rosters and inpatient consults in Lilongwe and Blantyre, Malawi. An echocardiogram was performed upon study enrollment. Cox regression analyses were performed to assess for factors associated with mortality over nearly 2 years of follow-up. ResultsOf 118 patients, nearly two-thirds were female (64.4%) and median age was 12 (IQR 10-14). Just under half (47.0%) lived >40km from a tertiary care center. There was a high prevalence of severe mitral regurgitation (65.3%), and pericardial effusion was present in 18.6%. Nearly a quarter (23.7%) died during follow-up. In univariable Cox regression, living >40km from tertiary care, living in a remote area, moderate or severe malnutrition, taking a beta blocker, severe mitral stenosis, any severe valve disease, severe left atrial enlargement, and presence of a pericardial effusion were statistically significant risk factors for mortality (p<0.05). In the adjusted model, living >40km from tertiary care (HR 2.66, CI 1.06-6.07, p=0.037), malnutrition (mild HR 3.92, CI 1.03-14.91, p=0.045); moderate HR 7.41, CI 1.92-28.54, p=0.004; severe HR 4.91, CI 1.44-16.71, p=0.011), beta blocker use (HR 4.62, CI 1.63-13.10, p=0.004), and presence of a pericardial effusion (HR 6.96, CI 3.00-16.13, p<0.001) remained independent risk factors for mortality. ConclusionsThis study of Malawian children emphasizes the dire prognosis of RHD in under-resourced settings and provides potential area of focus for targeted intervention.

Incidence of norovirus has strong seasonality in temperate and continental climates. Many studies have examined its association with climate variables, but evidence remains disparate. We address this gap by performing a systematic review to summarise and interpret the strength and directionality of associations between climate variables and norovirus incidence. Embase, Scopus, Web of Science and PubMed databases were screened for peer-reviewed studies on 2nd of December 2024. Articles were included if they described any climate or meteorological variable, in a categorical or numerical format, relative to a measurement of norovirus incidence risk in a human population, or prevalence or survivability outside the human host. Bias was assessed using a modified Critical Appraisal Skills Programme checklist. If dispersion of the effect in a human population was provided, the mean size was calculated using inverse variance weighting. The effect size outside the host was summarised as D-values, representing the time required to achieve a 90% reduction in the detected amount of virus. A total 139 studies were included. Predictors of risk were ambient and water temperature, relative and absolute humidity, anomalies of ambient temperature and precipitation, atmospheric and vapour pressure. High heterogeneity in direction and size of effects was observed due to regional differences in the factors driving norovirus seasonality and differences in outcome and exposure definitions. Our review suggests that the sensitivity of norovirus to individual climate variables is region and time specific, reflecting geographical differences in the relative importance of norovirus transmission via environmental pathways versus human-to-human contact. Plain Language SummaryNorovirus, a gastrointestinal virus, has a higher number of cases during specific months of the year. Regions with similar types of climate appear to have similar time periods when the increase in the number of infections occurs, which has been linked to norovirus case numbers being correlated to individual climate variables, such as temperature or rainfall. To understand how these associations compare globally and what are their potential explanations, we screened four major scientific databases, namely Embase, Scopus, Web of Science and PubMed. After the selection process, a total 139 peer-reviewed studies were included in this study. We found that ambient and water temperature, relative and absolute humidity, anomalies of ambient temperature and precipitation, atmospheric and vapour pressure were predictors of an increase in norovirus cases. However, the strength and direction of the relationships differed from region to region. A potential explanation is that geographies also differ in how important individual routes are for the transmission of norovirus, specifically via the environment as opposed to direct human-to-human contact, whereas climate is likely to have a greater influence on the former. Key pointsO_LIThe strength and direction of associations between climate variables and norovirus incidence varies by region and time period C_LIO_LIThe strength of associations vary across the transmission routes of norovirus, e.g., environmental versus human-to-human contact C_LIO_LIClimate variables impact norovirus survival and dissemination outside the host, which may inform models of environmental virus transmission C_LI

BackgroundNigeria accounts for a significant share of global maternal mortality, and HIV remains a public health threat. Gombe State in northeastern Nigeria contends with profound barriers to healthcare access. This study evaluated the effectiveness of a community-based intervention using trained Community Health Workers (CHWs) to improve early identification of pregnancy and linkage to Antenatal Care (ANC) and HIV services. MethodsA quasi-experimental design was employed across six local government areas (LGAs) from January 2020 to June 2021. Three LGAs were randomly assigned to the intervention, where CHWs conducted home visits for pregnancy identification, health education, and referral facilitation. Three control LGAs received standard facility-based care. Data were collected via household surveys and facility records at baseline and endline. Analysis included Difference-in-Differences (DiD) estimation to determine the net intervention effect. ResultsThe intervention group showed significant improvements compared to the control. Early pregnancy identification (<20 weeks) increased from 45% to 78% (DiD: +29 pp, p<0.001). Attendance of at least one ANC visit rose from 58% to 85% (DiD: +22 pp, p<0.001), reducing the coverage gap by 89%. Subgroup analysis revealed the largest gains among adolescents (DiD: +31 pp) and rural residents (DiD: +27 pp). HIV testing uptake increased from 52% to 90% (DiD: +34 pp, p<0.001). Linkage to care for HIV-positive women improved from 65% to 92% (p=0.002). ConclusionA CHW-led, community-based strategy is highly effective in improving early engagement with ANC and HIV services in resource-limited settings. The intervention demonstrated a strong equity-promoting effect. Integration and scale-up of this model within primary healthcare systems is recommended.

BackgroundMeasles is a highly contagious infectious disease and a leading cause of childhood morbidity and mortality worldwide. In developing country like Ethiopia, effective immunization is a proven strategy for reducing measles related illness and deaths. However, measles second dose vaccination drop out has become a major public health concern. In a densely populated city such as Addis Ababa drop rate tends to be higher than the minimum acceptable threshold, leading to increased number of cases and recurrent outbreaks. Despite of this limited evidence exists on the determinants of second dose drop out and the problem is not well investigated, as a result this study will try to identify determinants of measles second dose vaccination dropout among children 24 - 35 months of age. ObjectivesTo identify determinants of measles second dose vaccination dropout among children 24 - 35 months of age Addis Ababa, Ethiopia in 2025. MethodCommunity based unmatched case control study was conducted in Addis Ababa from September 1/2024 to October /2025 with a total of 636 participants, consisting of 212 cases and 424 controls. Data were collected using structured Quesionariie and entered into EpiData 3.1 then StataSE 18 was used for detailed analysis including Descriptive statistics. Model fitness was checked using Hosmer-Lemeshow and multicollinearity were assessed using variance inflation factor. Furthermore, Bivariable and multivariable logistic regression analyses was employed and Adjusted odds ratio with 95% confidence intervals was used to identify significant variables. ResultsA total of 620 mothers/caregivers participants respond to the study, comprising 206 (97%) cases and 414(97.6%) controls, yielding a total response rate of 97.4%. In this study, waiting time longer than 30 minutes (AOR= 3.34, 95%CI: 1.86-5.9), Lack of counseling (AOR = 2.63, 95% CI: 1.60-4.30), Lack of reminders (AOR = 2.86, 95% CI: 1.89-4.30), Previous adverse event following immunization (AOR = 2.00, 95% CI: 1.39-3.00), postnatal care visit (AOR = 0.58, 95% CI: 0.40-0.85) and family size of greater than 3 (AOR = 1.96, 95% CI: 1.29-2.98) were significantly associated with measles second dose dropout. Conclusion and recommendationIn study shows measles second dose dropout is found to be associated with long waiting time, lack of counseling, lack of reminder, history of adverse event following immunization and postnatal visit. Which suggests Strengthening Immunization Counseling, reducing waiting time, establishing effective reminding system, integrating Immunization with postnatal services and promptly addressing concerns about adverse event following immunization can help reduce measles second dose dropout.

BackgroundClimate change is increasingly recognised as a threat to population health and healthcare systems, yet the effects of environmental variability on pharmaceutical prescribing remain poorly characterised in the UK. Using a wide array of open-source datasets, we examine the effect of environmental, geographic and socioeconomic factors on prescribing habits in England. MethodsWe linked monthly, practice-level prescribing data for England (2010-2025) to meteorological, air-quality, flooding and demographic datasets using spatial nearest-neighbour matching. Prescribing volumes for cardiovascular, respiratory and antibiotic medications were analysed using log-transformed outcomes in mixed-effects models with practice-level random effects, adjusting for region, seasonality, deprivation and temporal trends, using both continuous environmental measures and extreme-condition indicators. A complementary Bayesian hierarchical model jointly estimated the conditional effects of multiple correlated environmental exposures, with partial pooling across practices and support for distributed lag effects. ResultsIn mixed-effects analyses, temperature showed the most consistent associations with prescribing, with higher temperatures linked to increased respiratory and cardiovascular prescriptions and reduced antibiotic use, while rainfall, flooding and most pollutants had small or negligible effects. Environmental predictors exhibited strong correlations, motivating multivariate modelling. Bayesian multivariate models confirmed temperature as the dominant environmental driver after adjustment for correlated exposures, with substantially larger variation attributable to regional and socioeconomic factors than to environmental conditions. ConclusionsTemperature is the most consistent environmental determinant of GP prescribing in England, with higher temperatures associated with increased cardiovascular and respiratory prescribing and reduced antibiotic use. Rainfall, flooding and most air pollutants show little evidence of meaningful effects once seasonal and meteorological structure is accounted for. Environmental associations are modest in magnitude relative to persistent socioeconomic and regional drivers of prescribing, indicating that climate-related influences operate within broader structural determinants of healthcare utilisation. These results suggest that, at monthly timescales, prescribing demand is relatively stable to environmental variability, supporting a focus on long-term adaptation and surveillance rather than short-term demand shocks in climate-resilient healthcare planning.

BackgroundEvidence emerging from Sub-Saharan Africa indicates that people living with HIV (PLHIV) on long-term antiretroviral therapy (ART) especially when the viral load is undetectable, may falsely test negative for HIV on rapid diagnostic tests. This study assessed the prevalence and factors associated with false negative rapid diagnostic HIV tests among Patients on antiretroviral therapy, with undetectable viral load levels at Kisenyi Health Center IV, Kampala, Uganda. MethodsBetween October 2023 and February 2024, a cross-sectional study was conducted among 1,248 PLHIV on ART with undetectable viral loads at Kisenyi Health Center IV. Participants were recruited consecutively, and HIV re-testing was conducted in accordance with the national serial rapid testing algorithm. The algorithm includes a screening test (Determine HIV-1/2), a confirmatory test (Stat-Pak(R)), and a tie-breaker test (SD Bioline(R)). Enzyme-linked immunosorbent assay (ELISA) was used as the final confirmatory method. Data on socio-demographics and clinical characteristics was collected using an electronic data abstraction tool. Logistic regression analysis was done to assess for factors associated with false negative results, using STATA version 14.0. ResultsThe median age of the participants was 34.0 (interquartile range 29.0-42.5 years). The prevalence of false-negative rapid test results was 3.2% (40/1248; CI:2.20-4.2). CD4 (aOR 1.001, CI:1.001-1.003) and duration on ART (aOR 0.884, CI:0.801-0.978) were significantly associated with false-negative HIV results. ConclusionFalse-negative results were observed in approximately 3 in every 100 PLHIV on ART with an undetectable viral load. Serial rapid testing alone may be suboptimal for detecting HIV infection in this population. Further confirmatory testing in individuals who test negative on rapid testing is recommended.

IntroductionDengue has been prevalent in a regular fashion in Bangladesh and Chattogram for the last 6-7 years and is showing some serotype twisting. So, the objectives of the present study were to explore the burden of dengue serotypes in Chattogram. MethodsIn this study, 223 Dengue RT-PCR positive patients were evaluated for serotyping. Gender and age group, along with cycle threshold (CT) values, were also collected. Data after collection were compiled, analyzed, and plotted in Microsoft Excel and GraphPad Prism 10.4. Ethical clearance was taken to conduct the study. ResultsAmong 223 patients analyzed, males and females were found near equal (113 and 110). Middle-aged patients were more than the extremes of age. The mean {+/-} SD of age was 33.55 {+/-} 13.67 years. Regarding serotype distributions, isolated Den 1, Den 2 and Den 3 were found 1.3%, 73.1% and 6.7%, respectively. Concurrent infections with multiple serotypes were observed in several patients, most notably the Den 2 and Den 3 combination, which accounted for 14.3% (n=32) of the cases. Other co-infections were less frequent: the Den 1 and Den 2 pairing appeared in 3.6% (n=8) of the cohort, while triple-serotype infections (Den 1, 2, and 3) and Den 3/Den 4 pairings were rare, each occurring in only 0.4% of patients. Statistical analysis of CT values revealed no significant sex-based differences for Den 2 and Den 3. However, significant variations in CT values were observed when comparing Den 1 against both Den 2 and Den 3 (p < 0.05). In contrast, the difference between Den 2 and Den 3 Ct values remained statistically insignificant. ConclusionIn the year 2025, Dengue serotypes 2 and 3 were found to be the most prevalent, both in isolated or in combinations and Den 1 and Den 4 were found minimum. Exposure to multiple serotypes and twisting from one serotype to another might influence the dengue outcome in future, which needs further exploration.

BackgroundDengue virus (DENV) is an increasingly recognized cause of febrile illness in sub-Saharan Africa, yet its epidemiology in Nigeria remains incompletely characterized due to fragmented surveillance and diagnostic variability. We conducted a systematic review and meta-analysis to estimate marker-specific seroprevalence and to evaluate geographic variation, seasonal patterns, and environmental risk factors associated with DENV infection in Nigeria between 2014 and 2024. MethodsFollowing PRISMA guidelines, we searched PubMed, Scopus, Web of Science, EMBASE, Google Scholar, and African Index Medicus for studies reporting laboratory-confirmed dengue infection in Nigeria. Random-effects meta-analysis was used to estimate pooled prevalence and pooled odds ratios (ORs) with 95% confidence intervals (CIs). Between-study heterogeneity was quantified using the I{superscript 2} statistic. Subgroup analyses explored variation by diagnostic marker and geographic region. ResultsThirty-three studies met inclusion criteria. The pooled random-effects IgM seroprevalence was 20.9% (95% CI: 13.0-30.1; I{superscript 2} = 98.6%), while pooled IgG seroprevalence was 19.9% (95% CI: 11.6-29.7; I{superscript 2} = 97.7%). NS1 antigen positivity was 8.9% (95% CI: 2.2-19.4), and PCR-confirmed infection was 7.0% (95% CI: 1.2-16.2; I{superscript 2} = 25.8%). Significant differences were observed across diagnostic markers (p = 0.0002). Regional subgroup analysis demonstrated statistically significant geographic variation for both IgM (p = 0.0179) and IgG (p = 0.0030), with highest pooled prevalence observed in the Southeast and lowest in the Southsouth region. Environmental and behavioral exposures were strongly associated with seropositivity, including proximity to refuse dumpsites (OR = 9.39, 95% CI: 7.44-11.84), non-use of mosquito nets (OR = 8.70, 95% CI: 5.73-13.21), malaria positivity (OR = 5.54, 95% CI: 3.84-7.98), and open household water storage (OR = 2.18, 95% CI: 1.65-2.89). All four DENV serotypes were identified across reporting studies. Transmission intensity increased during rainy seasons. ConclusionsDengue virus transmission in Nigeria is widespread and geographically heterogeneous, with evidence of both recent and cumulative exposure. Strong associations with modifiable environmental and household-level factors underscore the importance of integrated vector control and improved diagnostic capacity. Enhanced surveillance and climate-informed public health strategies are essential to mitigate future outbreak risk. Author SummaryDengue is a mosquito-borne viral infection that is increasing globally but remains underrecognized in much of sub-Saharan Africa. In Nigeria, many febrile illnesses are presumed to be malaria, which can obscure the contribution of dengue virus infection. In addition, limited surveillance systems and inconsistent diagnostic testing have made it difficult to determine the true extent of dengue transmission. To address this gap, we conducted a systematic review and meta-analysis of studies published between 2014 and 2024 to evaluate patterns of dengue exposure, geographic variation, and environmental risk factors in Nigeria. We found evidence of both recent infection (IgM antibodies) and past exposure (IgG antibodies) across multiple regions of the country. Transmission intensity varied geographically, with higher levels observed in some regions, particularly in the Southeast, and lower levels in the Southsouth. Infection risk increased during the rainy season, consistent with enhanced mosquito breeding conditions. Living near refuse dumpsites, storing water in open containers, not using mosquito nets, and having malaria were all associated with higher odds of dengue infection, highlighting the importance of household and environmental conditions in shaping transmission risk. All four dengue virus serotypes were identified, indicating sustained viral circulation. These findings demonstrate that dengue virus infection is widespread in Nigeria and influenced by modifiable environmental and behavioral factors. Improving diagnostic capacity, strengthening routine surveillance, and implementing targeted vector control strategies are essential to reduce transmission and improve outbreak preparedness.

BackgroundChildren who are HIV-exposed uninfected (HEU) show greater morbidity and mortality than HIV-unexposed children (HUU). In this study we investigate sex differences in growth, infection rates and antibody response among HEU and HUU infants. MethodsThe study enrolled 107 pregnant women with HIV and 103 pregnant women without HIV with follow-up of their infants from birth to 12 months of age. Study measures assessed included growth parameters, the prevalence of children with overt disease symptoms as reported by the mother, PCR-based assessment of infections (cytomegalovirus (CMV), respiratory syncytial virus (RSV), rhinovirus, influenza A & B, rotavirus and malaria) as well as antibody profile to CMV, RSV and enterovirus infections. ResultsCompared to male HUU, male HEU infants had lower Height-for-age-z-scores ({beta} -0.75; P=0.047) in mixed-effect model accounting for age. Additionally, they showed transiently lower Weight-for-age-z-scores at 3 months (1.07 vs 0.05, P=0.04), with higher risk of rhinorrhea (RR=2.29, P=0.02) and lower enterovirus titers at birth (P=0.0066). Female HEU showed transiently higher stunting at 6 months (0% vs 21%; P=0.01) and lower CMV viremia at 6 months, with elevated CMV antibody titers at 3 months (P=0.04) compared to female HUU. With prevalence ranging from 25%-61%, CMV and Rhinovirus infections were dominant in all groups. HEU and HUU exhibited similar antibody decay and acquisition patterns for CMV, RSV, and Enterovirus across both sexes. ConclusionHEU infants show transient sex-based differences in growth, infection and immune profiles raising the relevance for considering sex as a key parameter to assess infant health.

BackgroundHIV exposed infants (HEIs) are at a higher risk of infant mortality compared to their counterparts who are not HIV exposed. Early Infant Diagnosis (EID) is the critical first step in reducing HIV-related infant mortality through prompt identification of HIV-infected infants and subsequent initiation of antiretroviral therapy. However, there is limited information on Uptake of EID and factors associated with its timely completion among HIV exposed infants. Therefore, this study aimed at determining the uptake of EID and factors associated with its timely completion among HIV exposed infants at Lira Regional Referral Hospital (LRRH). MethodsThe study was a retrospective cohort of 252 HEIs born in the period of 1st January 2021 to 31st December 2021 chosen through consecutive sampling. Data abstraction tools were used to collect data on uptake of 1st, 2nd, 3rd DNA-PCR and final rapid test from mother-baby pair files and EID register. The main outcome was Uptake of EID and classified as timely and untimely according to the PMTCT guideline. Data was analyzed using descriptive statistics and generalized estimating equations (GEE) with poisson family, log link and unstructured correlation structure. ResultsThe timely uptake of EID among HIV exposed infants at 4-6 weeks, 9 months, 6 weeks after cessation of breastfeeding and 18 months were 80.1% (95% CI:74.5-84.7), 84.2% (95% CI:79.0-88.3), 3.7% (95% CI:2.0-7.0) and 78.8% (95% CI:73.2-83.6) respectively. Having cotrimoxazole given was associated with timely completion of EID [aRR=2.974, 95% CI (1.45-6.10)] ConclusionUptake of EID among HEIs was sub-optimal, below the Ministry of Healths 90% target. Timely cotrimoxazole administration was associated with EID completion,

Malaria remains a major public health challenge in Nigeria, and increasing climate variability poses substantial threats to recent gains in control. However, malaria transmission does not respond uniformly to climate drivers across epidemiological settings, highlighting the need to explore climate-malaria dynamics within heterogeneous contexts. This study examined the non-stationary temporal dynamics of malaria incidence and two key climatic drivers--rainfall and temperature--in Lagos and Zamfara states. These states were selected to represent heterogeneous transmission intensities, urbanisation and climatic regimes. Monthly malaria incidence and corresponding climate data (2015-2024) were analysed using wavelet-based model to characterise the non-stationary periodicities, quantify time-varying climate-malaria associations and identify time-dependent lead-lag relationships. Malaria incidence exhibited transient semi-annual, annual, and multi-annual cycles that were weak and temporally localized, despite persistent annual cycles in rainfall and temperature in Lagos. Cross-wavelet spectra revealed intermittent associations within the 8-16-month band, while phase analysis indicated short-lived alignment in which malaria incidence lagged rainfall by approximately one month, particularly between 2019 and 2022. The relationship with temperature was unstable, suggesting rainfall exerted more consistent influence on malaria incidence. In contrast, Zamfara displayed strong and dominant annual cycles of malaria incidence throughout the study period, with rainfall and temperature showing stable, statistically significant annual co-variability. Phase analysis revealed malaria incidence lagged rainfall by approximately one month and temperature by approximately three to four months, consistent with climate-modulated transmission processes. These findings highlight the heterogeneity of climate-malaria dynamics across transmission settings with contrasting epidemiological implications within Nigeria. The observed lag structures provide a basis for climate-informed early warning systems and intervention timing. While non-climatic drivers were not explicitly modelled, the analysis focuses on isolating climate-driven temporal signals. Consequently, to sustain control and elimination progress, climate-adaptive surveillance and region-specific interventions that anticipate rainfall- and temperature-driven transmission cycles must be integrated into Nigerias malaria control framework to ensure timely, targeted, and climate-resilient public health responses. Author summaryMalaria transmission does not respond uniformly to climate drivers across epidemiological settings, highlighting the need to explore climate-malaria dynamics within heterogeneous contexts. Identical climatic forcing can produce qualitatively different outcomes depending on the underlying epidemiological setting, indicating the limitations of generalising control efforts from a single context. Motivated by the need to understand these differences, in this study, we examined the cross-epidemiological scale-dependent and lag-specific climatic forcing of malaria transmission at the sub-national context, providing support for malaria control and elimination strategies. We addressed the following questions to understand the hidden patterns of the temporal cycles and the corresponding associations between the climate variables and malaria incidence in the two states: O_LIWhat are the dominant temporal cycles in malaria incidence in the study region? C_LIO_LIHow do the periodicities of climate variables compare with those of malaria incidence? C_LIO_LIAre there significant time-dependent associations between climate variability and malaria incidence? C_LIO_LIHow do these association vary across different time scales (intra-annual vs interannual) and periods? C_LIO_LIWhat is the average lag between changes in key climate variables and malaria incidence? C_LI Monthly malaria incidence data and corresponding rainfall and temperature records spanning 2015-2024 were analysed using a continuous wavelet transform (CWT) framework. Scale-specific periodicities were identified using wavelet power spectra, while climate-malaria associations were quantified using cross-wavelet power and wavelet transform coherence (WTC). Phase difference analysis was employed to characterise time-varying lead-lag relationships between malaria incidence and climatic drivers at the annual timescale. Results show that in Lagos, malaria incidence is irregular and weakly linked to climate, reflecting the impact of interventions and socio-environmental factors that disrupt transmission. In contrast, Zamfara exhibits strong, regular annual cycles tightly coupled to rainfall and temperature, with malaria incidence lagging rainfall by about one month and temperature by three to four months. These findings highlight the need for region-specific strategies: sustaining intervention-driven disruption in low-burden urban areas, and intensifying climate-adaptive measures in high-burden rural settings. Integrating climate-sensitive surveillance and tailored intervention timing into Nigerias malaria control framework will strengthen resilience and accelerate progress toward elimination. Specifically, our findings demonstrate evidence-based framework to guide climate-adaptive intervention timing. In Zamfara state, extreme heat between March and May as shown in the temperature profile, may reduce use of LLINs, indicating that mass distribution before and during these periods, within same year, may be less effective. The start of rain comes with a cooling effect which may facilitates good weather condition that encourages LLIN utilization. Correspondingly, LLIN distribution campaigns conducted in June or July, prior to peak rainfall and peak malaria incidence typically observed between August and October, may enhance intervention effectiveness. Coupled with other climate-sensitive control interventions (for example, seasonal malaria chemo-prevention), such campaigns should be repeated at intervals of no more than three years, in alignment with the observed multi-annual cycles of malaria incidence, to effectively mask malaria risk in Zamafara state. This implementation strategy could be employed in other high transmission states of Nigeria to mitigate malaria risk.

BackgroundCambodia has made great progress in reducing malaria transmission and is targeting elimination. While this progress is particularly marked for Plasmodium falciparum, the situation is different for Plasmodium vivax. It is generally assumed that symptomatic patients are effectively diagnosed using rapid diagnostic tests (RDTs), regardless of transmission intensity. MethodsIn 2023 we conducted a cross-sectional survey among 986 treatment-seeking patients in 6 provinces of Cambodia with varying reported malaria cases. Malaria RDT (Pf/Pv), microscopy and qPCR diagnostics of Plasmodium infections and species determination were performed. ResultsUsing qPCR, Plasmodium infections were diagnosed in 156 patients (15.8%, 95% CI: 13.7-18.2%) from all 6 provinces. Positivity rate was markedly different between health centers (HCs) and ranged between 57.2% and 0.5%. Parasitemia of infected patients was different between HCs and was lower in HCs with the lowest positivity rate compared to those with higher rates. The majority of Plasmodium infections (75%) were caused by P. vivax, however all human malaria species were identified as well as the simian parasite P. knowlesi. Overall sensitivity of RDTs to detect Plasmodium infections was 39.7% (95% CI: 28.9-51.6%) and specificity was 100% (95% CI: 99.5-100%). The proportion of RDT true positives was significantly different between HCs, and a tendency for higher false negative rates in low transmission areas compared to higher ones was observed. ConclusionWhile our results confirm that P. falciparum parasites are nearly eliminated from Cambodia, we show that current practice for diagnosis of Plasmodium infections among febrile patients is challenged, especially in very low transmission settings.

The protracted Rohingya refugee crisis continues to deteriorate with approximately 1.2 million refugees currently sheltering in Coxs Bazar, Bangladesh. This study aimed to estimate the prevalence and identify factors associated with psychosocial distress among Rohingya refugees. Data were sourced from the 2023 Joint Multi-Sectoral Needs Assessment - a representative cross-sectional household survey conducted across the 33 Rohingya refugee camps of Coxs Bazar. Households were selected using stratified (by camp) random sampling. Psychosocial distress was assessed via proxy report by an adult household respondent and defined as the presence of at least one of eleven symptoms in the two weeks preceding the survey. Binary logistic regression was conducted to investigate household characteristics and individual factors associated with psychosocial distress status. The prevalence of psychosocial distress was 14.9% (95%CI: 14.1%-15.7%) among 16,455 Rohingya refugees sampled from 3,400 households. After adjustment, psychosocial distress was associated with individuals from aid-dependent households (aOR= 1.42 [95%CI: 1.21-1.67]), stress livelihood coping strategies (aOR= 3.03 [95%CI: 1.94-4.74]), crisis livelihood coping strategies (aOR= 4.40 [95%CI: 2.81-6.89]), emergency livelihood coping strategies (aOR= 4.15 [95%CI: 2.58-6.66]), individuals who required and received healthcare (aOR= 1.27 [95%CI: 1.12-1.43]), individuals who required and did not receive healthcare (aOR=1.49 [95%CI: 1.16-1.91]), individuals aged 18-34 years (aOR= 8.38 [95%CI: 6.99-10.04]), aged 35-59 years (aOR= 10.33 [95%CI: 8.44-12.65]), and aged 60+ years (aOR= 13.31 [95%CI: 10.25-17.30]). Psychosocial distress among Rohingya refugees was highly prevalent and associated with increasing age groups, aid dependency, negative livelihood coping strategies, and healthcare needs. The findings emphasise the need for comprehensive mental health and psychosocial support services in protracted humanitarian emergencies. Additional validation studies may be required to measure both the prevalence and severity of psychosocial distress to better inform humanitarian programming.

BackgroundCervical cancer, generally induced by human papillomavirus (HPV) infection remains one of the most prevalent and deadly female cancers in sub-Saharan Africa (SSA). In Cameroon, the impact of prevention strategies is limited by systemic challenges, and insufficient evidence base to guide effective interventions. This study aimed to synthesize available evidence on the prevalence and key determinants of HPV infection among Cameroonian women. MethodsA comprehensive search was conducted across PubMed, Scopus, Web of Science, Embase, Cochrane electronic databases and local online publishers. Quality assessment of included studies was performed using the Joanna Briggs Institute (JBI) critical appraisal tool. The random effect model was used to pooled the estimates. Heterogeneity was evaluated using the I2 statistics. Statistical significance was set at p <0.05 and all analyses were conducted using R Statistics version 4.5.2. The protocol was registered on PROSPERO (CRD420261279093). ResultsThirty-six studies (20,033 participants) were included. The pooled prevalence of HPV infection 36.10 (95% CI: 27.28-45.97) with high heterogeneity (I2 = 98.4%). Higher estimates were observed among female sex workers 62.10% (95% CI: 58.08-66.00%, 1 study, n = 599) and women with pre-cancerous genital lesions 85.53% (95% CI: 61.72-95.59%, 4 studies, n = 673). Significant determinants of HPV infection included age below 40 (OR = 1.31; 95% CI: 1.14-1.49; 7 reports), unmarried status (OR = 1.43; 95% CI: 1.24-1.64; 15 reports), having five or more sexual partners (OR = 1.26; 95% CI: 1.05-1.51; 2 reports), parity below four (OR = 1.29; 95% CI: 1.09-1.52; 2 reports), HIV infection (OR = 1.92; 95% CI: 1.24-2.98; 6 reports), CD4 count below 500 cells/mm3 (OR = 2.00; 95% CI: 1.02-3.95; 2 reports), and viral load below 1000 copies/mL (OR = 2.12; 95% CI: 1.27-3.53; 2 reports). ConclusionsOur study demonstrates a high and persistent burden of HPV infection in Cameroon, with a greater impact on younger women and women living with HIV. These findings highlight an urgent public health need to strengthen and expand prevention strategies to effectively reduce and eliminate cervical cancer incidence in the country.

BackgroundHypertension is a growing contributor to morbidity and mortality in sub-Saharan Africa, yet many adults are still unaware of how to prevent it. In Zambia, preventive behaviours such as regular exercise, reduced salt intake, and routine blood pressure checks are underutilised. This study examined the factors associated with hypertension prevention practices among adults in Mtendere Compound, a high-density residential area in the capital-city of Zambia Lusaka. MethodsA cross-sectional study was conducted among 382 adults aged 18 to 65 years, selected through multistage random sampling. Data were collected using structured interviewer-administered questionnaires adapted from the WHO-STEPS tools. Key variables included demographic characteristics, knowledge of hypertension, health-seeking behaviour, and lifestyle factors. Descriptive statistics and logistic regression were used to analyse associations between independent variables and hypertension prevention practices as a compound outcome variable including low salt intake, regular exercises and check-ups. ResultsAmong participants, 58.6% showed adequate knowledge of hypertension prevention. However, only 41.1% reported practising at least three recommended behaviours. Receiving health advice at a facility (AOR: 3.09, 95% CI: 1.72-5.56), having good knowledge (AOR: 2.64, 95% CI: 1.46-4.75), and being employed (AOR: 1.78, 95% CI: 1.02-3.09) were independently associated with practicing preventive behaviours. Age, sex, and education level were not statistically significant predictors. ConclusionWhile majority of the respondents had adequate knowledge of hypertension prevention, the actual practice was low. This study underscores the community-based reinforcement of social behavioural change (SBC) to transform knowledge into practice among at risk populations. Specifically, the study recommends tailoring interventions on hypertension prevention to reach unemployed and under-informed populations informal settlements and other high-density settings in major towns and cities in sub-Saharan Africa.

Dengue is one of the worlds highest-burden arboviral diseases. Although classically considered an urban disease, many regions experience a substantial dengue burden in rural areas. The combined influence of long-term climate, short-term weather variation, local built environments, and land-use gradients on dengue dynamics in rural settings remains poorly understood, limiting our ability to predict shifting risk under global change. Here, we investigate these dynamics in Costa Rica to disentangle how these interacting socio-environmental factors shape rural dengue transmission. We first use 22 years of canton-level (admin-2) case data to establish that both dengue cases and incidence are consistently higher in rural than in urban districts. Then, using ten years of district-level (admin-3) monthly case data and a Bayesian hierarchical modeling framework, we identify the climatic and land-use features most strongly associated with dengue risk. Temperature underlies broad spatial patterns in dengues urban-rural distribution, while precipitation effects differ between coasts, reflecting intercoastal climate zone contrasts rather than interactions between urbanization and water availability. Given suitable climate, even modest levels of built infrastructure substantially increase risk, but the relationship plateaus at higher levels of building volume. Dengue risk is also elevated in areas with high agricultural crop cover at low and mid elevations but not at higher, cooler elevations. Together these results suggest that high risk of rural dengue in Costa Rica result from climate suitability aligning with baseline levels of built infrastructure, with agriculture potentially emerging as a distinct driver of rural dengue transmission.

Sepsis caused by drug-resistant pathogens remains a major contributor to under-five mortality in low- and middle-income countries, threatening progress toward Sustainable Development Goal (SDG) 3.2. Blood culture, the gold standard for sepsis diagnosis and antimicrobial stewardship, remains underutilised in routine pediatric care. This study assessed the extent and determinants of blood culture utilisation among hospitalised children under five years with suspected sepsis at four antimicrobial resistance (AMR) surveillance sites in Uganda. We conducted a cross-sectional mixed-methods study involving retrospective review of 384 pediatric patient records and in-depth interviews with 20 clinicians. Modified Poisson regression was used to identify factors associated with blood culture requests, while thematic analysis explored behavioral and contextual influences on diagnostic practices. Blood cultures were requested in 28.1% of suspected sepsis cases. Higher utilisation was independently associated with markers of clinical severity, including severe acute malnutrition (adjusted prevalence ratio [aPR] 1.3, 95% CI: 1.14-1.34), sickle cell disease (aPR 1.3, 95% CI: 1.19-1.40), and presence of WHO danger signs (aPR 1.1, 95% CI: 1.00-1.14). Senior clinician involvement (aPR 1.2, 95% CI: 1.08-1.32) and consultant review (aPR 1.4, 95% CI: 1.21-1.48) were also associated with higher use, while prior antibiotic exposure reduced the likelihood of blood culture request (aPR 0.9, 95% CI: 0.84-0.96). Qualitative findings identified four overarching themes influencing diagnostic behavior: motivation amid systemic constraints, institutional and environmental barriers, mentorship and teamwork, and emotional fatigue in the context of adaptive practices. Despite high clinician awareness, blood culture utilisation remains low, driven primarily by health system fragility, inefficient workflows, and emotional exhaustion rather than knowledge gaps. Improving utilisation will require integrated behavioral, workflow, and structural interventions, including clinical decision support and strengthened microbiology laboratory capacity, to enhance pediatric sepsis care, antimicrobial stewardship, and progress toward SDG 3.2.

BackgroundRespiratory syncytial virus (RSV) is a major cause of lower respiratory tract infections in children, often leading to hospitalisation in infants. In low-resource settings where routine RSV diagnostics are unavailable, clinical overlap with bacterial pneumonia frequently results in unnecessary antibiotic use, contributing to antimicrobial resistance. ObjectiveTo evaluate the frequency and clinical determinants of antibiotic use among RSV-positive children under two years at a tertiary hospital in Ghana. MethodsThis cross-sectional study was conducted from June to November 2023 at the Department of Child Health, Korle Bu Teaching Hospital. Children with acute respiratory illness were enrolled and tested for RSV using molecular point-of-care and reverse transcriptase-polymerase chain reaction methods. Antibiotic use and clinical characteristics were analysed among RSV-positive cases. ResultsOf 128 children enrolled, 72 (56.2%) tested positive for RSV. Among these, 48 (66.7%) received antibiotics. Antibiotic use was significantly associated with markers of disease severity, including hypoxia (p = 0.009), tachypnea (p = 0.015), dyspnea (p < 0.001), and hospital admission (p < 0.001). Only 11 (23%) had suspected or confirmed bacterial co-infections. ConclusionA substantial proportion of RSV-positive children received antibiotics. These findings underscore the importance of antimicrobial stewardship programs, rapid diagnostics, and preventive interventions, such as maternal RSV vaccination. Strengthening diagnostic capacity and clinical decision-making in pediatric care is crucial for reducing inappropriate antibiotic use and addressing antimicrobial resistance in low-resource settings.