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Background Rwanda has achieved impressive reductions in malaria morbidity and mortality over the past two decades. However, the disruption of essential services due to the current Covid-19 pandemic can lead to a reversal of these gains in malaria control unless targeted, evidence-based interventions are implemented to mitigate the impact of the pandemic. The extent to which malaria services have been disrupted has not been fully characterized. This study was conducted to assess the impact of Covid-19 on malaria services in Rwanda. Methods A mixed-methods study was conducted in three purposively selected districts in Rwanda. The quantitative data included malaria aggregated data reported at the health facility level and the community level. The data included the number of malaria tests, uncomplicated malaria cases, severe malaria cases, and malaria deaths. The qualitative data were collected using focus group discussions with community members and community health workers, as well as in-depth interviews with health care providers and staff working in the malaria programme. Interrupted time series analysis was conducted to compare changes in malaria presentations between the pre-Covid-19 period (January 2019 to February 2020) and Covid-19 period (from March 2020 to November 2020). The constant comparative method was used in qualitative thematic analysis. Results Compared to the pre-Covid-19 period, there was a monthly reduction in patients tested in health facilities of 4.32 per 1000 population and a monthly increase in patients tested in the community of 2.38 per 1000 population during the Covid-19 period. There was no change in the overall presentation rate for uncomplicated malaria. The was a monthly reduction in the proportion of severe malaria of 5.47 per 100,000 malaria cases. Additionally, although healthcare providers continued to provide malaria services, they were fearful that this would expose them and their families to Covid-19. Covid-19 mitigation measures limited the availability of transportation options for the community to seek care in health facilities and delayed the implementation of some key malaria interventions. The focus on Covid-19-related communication also reduced the amount of health information for other diseases provided to community members. Conclusion The Covid-19 pandemic resulted in patients increasingly seeking care in the community and poses challenges to maintaining delivery of malaria services in Rwanda. Interventions to mitigate these challenges should focus on strengthening programming for the community and home-based care models and integrating malaria messages into Covid-19-related communication. Additionally, implementation of the interrupted interventions should be timed and overlap with the malaria transmission season to mitigate Covid-19 consequences on malaria.

A Rift Valley fever epizootic affected livestock in Rwanda during March-October 2022. We confirmed 3,112 infections with the virus, including 1,342 cases, 1,254 abortions, and 516 deaths among cattle, goats, and sheep. We recommend a One Health strategy for investigations and response to protect animal and human health.

Proteome profile changes post-severe acute respiratory syndrome coronavirus 2 (post-SARS-CoV-2) infection in different body sites of humans remains an active scientific investigation whose solutions stand a chance of providing more information on what constitutes SARS-CoV-2 pathogenesis. While proteomics has been used to understand SARS-CoV-2 pathogenesis, there are limited data about the status of proteome profile in different human body sites infected by the SARS-CoV-2 virus. To bridge this gap, our study aims to characterize the proteins secreted in urine, bronchoalveolar lavage fluid (BALF), gargle solution, and nasopharyngeal samples and assess the proteome differences in these body samples collected from SARS-CoV-2-positive patients. We downloaded publicly available proteomic data from ( https://www.ebi.ac.uk/pride/ ). The data we downloaded had the following identifiers: (i) PXD019423, n = 3 from Charles Tanford Protein Center in Germany. (ii) IPX0002166000 , n = 15 from Beijing Proteome Research Centre, China. (iii) IPX0002429000 , n = 5 from Huazhong University of Science and Technology, China, and (iv) PXD022889, n = 18 from Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 USA. MaxQuant was used for the human peptide spectral matching using human and SARS-CoV-2 proteome database which we downloaded from the UniProt database (access date 13 th October 2021). The individuals infected with SARS-CoV-2 viruses displayed a different proteome diversity from the different body sites we investigated. Overally, we identified 1809 proteins across the four sample types we compared. Urine and BALF samples had significantly more abundant SARS-CoV-2 proteins than the other body sites we compared. Urine samples had 257(33.7%) unique proteins, followed by nasopharyngeal with 250(32.8%) unique proteins. Gargle solution and BALF had 38(5%) and 73(9.6%) unique proteins respectively. Urine, gargle solution, nasopharyngeal, and bronchoalveolar lavage fluid samples have different protein diversity in individuals infected with SARS-CoV-2. Moreover, our data also demonstrated that a given body site is characterized by a unique set of proteins in SARS-CoV-2 seropositive individuals.

Background The core vector control tools used to reduce malaria prevalence are currently long-lasting insecticidal nets (LLINs), and indoor residual spraying (IRS). These interventions are hindered by insecticide resistance and behavioural adaptation by malaria vectors. Thus, for effective interruption of malaria transmission, there is a need to develop novel vector control interventions and technologies to address the above challenges. Larviciding using drones was experimented as an innovative tool that could complement existing indoor interventions to control malaria. Methods A non-randomized larviciding trial was carried out in irrigated rice fields in sub-urban Kigali, Rwanda. Potential mosquito larval habitats in study sites were mapped and subsequently sprayed using multirotor drones. Application of Bacillus thuringiensis var. israelensis (Bti) (Vectobac ® WDG) was followed by entomological surveys that were performed every two weeks over a ten-month period. Sampling of mosquito larvae was done with dippers while adult mosquitoes were collected using CDC miniature light traps (CDC-LT) and pyrethrum spraying collection (PSC) methods. Malaria cases were routinely monitored through community health workers in villages surrounding the study sites. Results The abundance of all-species mosquito larvae, Anopheles larvae and all-species pupae declined by 68.1%, 74.6% and 99.6%, respectively. Larval density was reduced by 93.3% for total larvae, 95.3% for the Anopheles larvae and 61.9% for pupae. The total adult mosquitoes and Anopheles gambiae sensu lato collected using CDC-Light trap declined by 60.6% and 80% respectively. Malaria incidence also declined significantly between intervention and control sites (U = 20, z = − 2.268, p = 0.023). Conclusions The larviciding using drone technology implemented in Rwanda demonstrated a substantial reduction in abundance and density of mosquito larvae and, concomitant decline in adult mosquito populations and malaria incidences in villages contingent to the treatment sites. The scaling up of larval source management (LSM) has to be integrated in malaria programmes in targeted areas of malaria transmission in order to enhance the gains in malaria control.

BackgroundMalaria remains a significant health issue in Rwanda. Primary malaria prevention methods include insecticide-treated nets and indoor residual spraying as core interventions. Mosquito repellents, larval source management (LSM), and housing improvement are recommended as supplemental vector control methods. A 2020–2021 study in rice field habitats of peri-urban of Kigali City successfully evaluated the entomological and epidemiological impacts of drone-based larviciding using Bacillus thuringiensis var. israelensis (Bti).MethodsThe present study employed a concurrent mixed-methods design to assess community knowledge, perception, acceptance, and willingness to participate in drone-based larviciding for malaria control in Kigali City. A total of 248 respondents participated in the quantitative survey interviews while five focus group discussions (FGDs), each comprising 10–12 participants, were conducted. Quantitative data were analysed using SPSS and R software, with logistic regression applied to identify factors influencing community participation. Qualitative data were manually coded and analysed thematically to complement the quantitative findings.ResultsParticipants showed widespread knowledge of malaria transmission and prevention, with high awareness of the importance of larviciding. A strong support of 96.4% expressed willingness to accept drone-based larviciding, including financial and free labour support. Factors influencing willingness to participate include occupation in rice and vegetable farming and mining (95% CI − 3.053 to − 0.169, p = 0.029), mosquito exposure (95% CI − 5.706 to − 1.293, p = 0.004). Participants highlighted drone-based larviciding role in reducing mosquitoes and malaria risk and recommended it’s scaling up as a core component of integrated vector management (IVM).ConclusionsThis study highlights strong community awareness and acceptance of drone-based larviciding, with its effectiveness in reducing mosquito abundance and malaria risks, along with the safety of Bti and drones. The findings advocate integrating drone-based larviciding into national malaria control strategies by enhancing community education, building local expertise, and adopting innovative financing mechanisms for scalability and sustainability.

Oral hygiene practices are vital for maintaining health, yet many adults do not engage in daily teeth cleaning. This study aimed to assess the prevalence and determinants of non-daily teeth cleaning among adults in Rwanda using data from the 2022 Rwanda Non-Communicable Diseases (NCD) STEPS Survey which used a cross-sectional design and multistage cluster sampling. Weighted prevalence estimates and logistic regression models were used to examine associations between non-daily teeth cleaning and key demographic, socioeconomic, behavioral, and oral health factors. The prevalence of non-daily teeth cleaning was 33.1% (95% CI: 31.0–35.2). Rural residence (AOR = 2.5, 95% CI: 1.5–4.1), lower education (AOR = 0.3, 95% CI: 0.2–0.6), lower income (AOR = 2.0, 95% CI: 1.3–3.2), and not using toothpaste (AOR = 1.3, 95% CI: 1.0–1.7) were significantly associated with increased odds of non-daily teeth cleaning. These findings underscore the need for targeted oral health promotion strategies that address socioeconomic disparities and improve access to affordable hygiene products.

Use of tobacco and its products are the single most preventable cause of death in the world. The objective of this study was to determine the prevalence of current tobacco use and identify associated factors among Rwandans aged 15-34 years. This study involved secondary analysis of existing data from the nationally representative WHO STEPwise approach to Surveillance of non-communicable diseases (STEPS) conducted in 2013 to explore the prevalence of tobacco use and its associated factors in Rwanda. Data of 3,900 youth participants (15-34 years old) who had been selected using multistage cluster sampling during the survey was analyzed. The prevalence of current smoking along with socio-demographic characteristics of the sample were determined and multivariable logistic regression was employed to identify independent factors associated with current tobacco use. The prevalence (weighted) of current tobacco use (all forms) was 8% (95%CI: 7.08-9.01). The prevalence was found to be significantly higher among males, young adults aged 24-34, youth with primary school education or less, those from Southern province, people with income (work in public, private organizations and self-employed) and young married adults. However, geographical location i.e. urban (7%) and rural (8%) settings did not affect prevalence of tobacco use. Factors that were found to be associated with current tobacco use through the multivariate analysis included being male, aged 25 years and above, having an income, and residing in Eastern, Kigali City and Southern Province compared to Western province. The association between smoking and socio-demographic characteristics among Rwandan youth identified in this study provides an opportunity for policy makers to tailor future tobacco control policies, and implement coordinated, high-impact interventions to prevent initiation of tobacco use among the youth.

Background The occurrence of post-traumatic stress disorder (PTSD) following a traumatic event is associated with biological differences that can represent the susceptibility to PTSD, the impact of trauma, or the sequelae of PTSD itself. These effects include differences in DNA methylation (DNAm), an important form of epigenetic gene regulation, at multiple CpG loci across the genome. Moreover, these effects can be shared or specific to both central and peripheral tissues. Here, we aim to identify blood DNAm differences associated with PTSD and characterize the underlying biological mechanisms by examining the extent to which they mirror associations across multiple brain regions. Methods As the Psychiatric Genomics Consortium (PGC) PTSD Epigenetics Workgroup, we conducted the largest cross-sectional meta-analysis of epigenome-wide association studies (EWASs) of PTSD to date, involving 5077 participants (2156 PTSD cases and 2921 trauma-exposed controls) from 23 civilian and military studies. PTSD diagnosis assessments were harmonized following the standardized guidelines established by the PGC-PTSD Workgroup. DNAm was assayed from blood using Illumina HumanMethylation450 or MethylationEPIC (850 K) BeadChips. Within each cohort, DNA methylation was regressed on PTSD, sex (if applicable), age, blood cell proportions, and ancestry. An inverse variance-weighted meta-analysis was performed. We conducted replication analyses in tissue from multiple brain regions, neuronal nuclei, and a cellular model of prolonged stress. Results We identified 11 CpG sites associated with PTSD in the overall meta-analysis (1.44e − 09 <  p  < 5.30e − 08), as well as 14 associated in analyses of specific strata (military vs civilian cohort, sex, and ancestry), including CpGs in AHRR and CDC42BPB . Many of these loci exhibit blood–brain correlation in methylation levels and cross-tissue associations with PTSD in multiple brain regions. Out of 9 CpGs annotated to a gene expressed in blood, methylation levels at 5 CpGs showed significant correlations with the expression levels of their respective annotated genes. Conclusions This study identifies 11 PTSD-associated CpGs and leverages data from postmortem brain samples, GWAS, and genome-wide expression data to interpret the biology underlying these associations and prioritize genes whose regulation differs in those with PTSD.

Background The 1994 Genocide against the Tutsi was a major traumatic event affecting nearly all Rwandans. Significant psychological sequels continue to occur in the population 25 years after, with a high prevalence of posttraumatic stress disorder (PTSD) found in women. Three groups are typically designated with regard to the Genocide against the Tutsi: those who were targeted and categorized as genocide “survivors,” those who were in the country during the genocide and were the “non-targeted” group, and those who were outside of the country, referred to as the “1959 returnees.” Each group experienced various traumatic events during and in the aftermath of the genocide. Offspring of the designated groups, currently exhibit symptoms of PTSD disregarding of being born in the years following the genocide. A number of studies have described the prevalence of PTSD in the general adult population. There is a lack of research comparing the prevalence of PTSD in women and their offspring among these three target groups, therefore, this study aimed to bridge the gap. Methods We conducted a comparative cross-sectional study with a sample of 432 mothers and 432 children in three categories: genocide survivors, in country non-targeted and 1959 returnees. Participant ages for children were between 14 to 22 years and for mothers, between the ages of 32 to 87 years. The UCLA-PTSD DSM-5, PTSD Check list-5 and Life events Checklist-5 were translated from English to Kinyarwanda and were used to assess exposure to trauma and the prevalence of PTSD symptoms in Rwandan mothers and their offspring. Results Key Results yield a PTSD rate of 18.8, 6.2, 5.2% within survivors, in country non-targeted, and returnees respectively with an average PTSD rate of 43.8% for parents, and 16.5% for offspring. Conclusion PTSD among the mothers’ groups and their offspring have been found, specifically in the offspring of genocide survivors. Considering these adolescents were not born at the time of the 1994 Genocide against the Tutsi, the results suggest future studies should explore the precipitating factors contributing to the PTSD symptoms within this specific group.