Factors associated with laboratory-confirmed SARS-Cov-2 infection among patients with severe respiratory illness (SRI): Findings from the COVID-19 vaccine effectiveness evaluation in Kenya and Mali, 2022-2023.

Background: Understanding the epidemiology of SARS-CoV-2 infection in settings with limited data, especially given the dynamic nature of the virus and the reported epidemiological heterogeneity across countries, is important. We used data from the COVID-19 Vaccine effectiveness evaluation to determine factors associated with SARS-COV-2 infection among patients (≥ 12 years) with severe respiratory illness (SRI) in Kenya and Mali.

Methods: SRI was defined as acute onset (≤ 14 days) of at least two of the following: cough, fever, chills, rigors, myalgia, headache, sore throat, fatigue, congestion or runny nose, loss of taste or smell, or pneumonia diagnosis.

Factors associated with mortality among patients aged 12 years and above requiring hospitalization for severe respiratory illness (SRI): Findings from the COVID-19 vaccine effectiveness evaluation in Kenya and Mali, 2022-2023.

Background: Mortality attributed to respiratory illnesses is well characterized in children <5 years. However, there is paucity of data among older populations. Here, we leveraged data from the COVID-19 Vaccine Effectiveness Evaluation to establish the factors associated with mortality among patients with severe respiratory illness (SRI) in Kenya and Mali.

Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.

Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.

Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.

The Enterics for Global Health (EFGH) Surveillance Study in Kenya.

Background: Although is an important cause of diarrhea in Kenyan children, robust research platforms capable of conducting incidence-based estimates and eventual targeted clinical trials are needed to improve -related outcomes in children. Here, we describe characteristics of a disease surveillance platform whose goal is to support incidence and consequences of diarrhea as part of multicounty surveillance aimed at preparing sites and assembling expertise for future vaccine trials.

Methods: We mobilized our preexisting expertise in shigellosis, vaccinology, and diarrheal disease epidemiology, which we combined with our experience conducting population-based sampling, clinical trials with high (97%-98%) retention rates, and healthcare utilization surveys.