In disaster situations, cholera outbreaks represent a public health emergency due to their high fatality rates and high spreading risk through camps for refugees and internally displaced persons (IDPs). The aim of this study is to examine water, sanitation, and hygiene attitudes and cholera knowledge, attitude, and practice (KAP) among people living in resettlement sites in Cabo Delgado, the northernmost province of Mozambique. Between January 1 and March 31, 2022, a cross-sectional survey was conducted by administering a face-to-face interview to IDPs and residents in six relocation sites in Cabo Delgado Province. A total of 440 people were enrolled in the study. Overall, 77.8% (N = 342) were female, 61% (N = 268) were younger than 35 years old, and 60.5% (N = 266) reported primary school to be the highest education level. Seventy-five percent (N = 334) of participants lived with children under 5 years old. Thirty-one percent (N = 140) and 11.8% (N = 52) of the respondents reported, respectively, at least one cholera case and at least one diarrheal-related death among their family members in the previous 2 years. In multivariate analysis, being female, being younger than 35 years old, having attained a higher education level, owning a phone, or having soap at home were factors significantly associated with improved cholera KAP. In severely deconstructed social contexts, continuous education and community sensitization are crucial to achieve and maintain positive cholera prevention attitudes.

We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as “Respiratory or thoracic disease”, supporting their link with COVID-19 severity outcome.

Background:The spread of COVID-19 poses an unprecedented challenge to care delivery in post-disaster and conflict situations. In Mozambique, the 2019 cyclone Idai and the violence by Non-State-Armed-Groups devastated the province of Sofala and Cabo Delgado respectively and led to the displacement of thousands of people living in poor and overcrowded conditions. The pandemic has further aggravated the situation. Doctors with Africa CUAMM (University college for aspiring missionary doctors) implemented surveillance activities in these regions between October 2020 and September 2021. The aim of this study is to give an overview of the prevalence of malaria, malnutrition, COVID-19 related symptoms and access to HIV testing. Methods: Data were collected in targeted internally displaced people (IDP) sites in Sofala and Cabo Delgado province between 31st January and 25th September 2021. The tool used enabled to assess COVID-19 symptoms, risk of HIV infection, malaria cases and malnutrition in children under five. Results:The project reached 93 503 people. During the study period, 13.6% people reported at least one symptom suggestive of COVID-19 infection. Malaria Rapid Diagnostic Tests (RDT) were administered to 86% of the recruited people (n = ?), with a positive 2 Di Gennaro et al.