A5089445800- Malaria Research and Control
- COVID-19 epidemiological studies
- Mosquito-borne diseases and control
- SARS-CoV-2 and COVID-19 Research
- Healthcare Operations and Scheduling Optimization
- COVID-19 and healthcare impacts
- Global Maternal and Child Health
- Influenza Virus Research Studies
- Ecosystem dynamics and resilience
- Diverse Scientific Research Studies
- Computational Drug Discovery Methods
- SARS-CoV-2 detection and testing
- Parasites and Host Interactions
- Agricultural Innovations and Practices
- Viral Infections and Vectors
- Data-Driven Disease Surveillance
- Insect Pest Control Strategies
- Child Nutrition and Water Access
- Air Quality Monitoring and Forecasting
- Mathematical and Theoretical Epidemiology and Ecology Models
- Viral Infectious Diseases and Gene Expression in Insects
- Vaccine Coverage and Hesitancy
- Viral Infections and Outbreaks Research
- Shoulder and Clavicle Injuries
- Orthopedic Surgery and Rehabilitation
Northwestern University
2020-2025
Swiss Tropical and Public Health Institute
2018-2022
University of Basel
2019-2020
A nationwide, school, malaria survey was implemented to assess the risk factors of prevalence and bed net use among primary school children in mainland Tanzania. This allowed mapping at council level assessment children.A cross-sectional, parasitaemia conducted 25 regions, 166 councils 357 schools three phases: (1) August September 2014; (2) May 2015; and, (3) October 2015. Children were tested for parasites using rapid diagnostic tests interviewed about household information, parents'...
Abstract Background Recent malaria control efforts in mainland Tanzania have led to progressive changes the prevalence of infection children, from 18.1% (2008) 7.3% (2017). As landscape transmission changes, a sub-national stratification becomes crucial for optimized cost-effective implementation interventions. This paper describes processes, data and outputs approach used produce simplified, pragmatic risk 184 councils Tanzania. Methods Assemblies annual parasite incidence fever test...
Abstract In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial ensure continued progress. Global and national policy makers increasingly rely on epidemiological data mathematical modelling help optimize health decisions at sub-national level. The Demographic Health Surveys (DHS) Program a critical source for understanding subnational malaria prevalence coverage, which are used parameterizing country-specific models of...
For their 2021-2025 National Malaria Strategic Plan (NMSP), Nigeria's Elimination Programme (NMEP), in partnership with the World Health Organization (WHO), developed a targeted approach to intervention deployment at local government area (LGA) level as part of High Burden Impact response. Mathematical models malaria transmission were used predict impact proposed strategies on burden.
Introduction The decision-making process for malaria control and elimination strategies has become more challenging. Interventions need to be targeted at council level allow changing epidemiology an increase in the number of possible interventions. Models dynamics can support this by simulating potential impacts multiple interventions different settings determining appropriate packages meeting specific expected targets. Methods OpenMalaria model was calibrated all 184 councils mainland...
Availability of SARS-CoV-2 testing in the United States (U.S.) has fluctuated through course COVID-19 pandemic, including U.S. state Illinois. Despite substantial ramp-up test volume, access to remains limited, heterogeneous, and insufficient control spread.We compared rates across geographic regions, over time, by demographic characteristics (i.e., age racial/ethnic groups) Illinois during March December 2020. We age-matched case fatality ratios infection time estimate fraction infections...
A recent WHO recommendation for perennial malaria chemoprevention (PMC) encourages countries to adapt dose timing and number local conditions. However, knowledge gaps on the epidemiological impact of PMC possible combination with vaccine RTS,S hinder informed policy decisions in where burden young children remains high.
Abstract Background More than ever, it is crucial to make the best use of existing country data, and analytical tools for developing malaria control strategies as heterogeneity in risk within countries increasing, available are expanding while large funding gaps exist. Global local policymakers, well funders, increasingly recognize value mathematical modelling a strategic tool support decision making. This case study article describes long-term close collaboration with National Malaria...
To accelerate progress against malaria in high burden countries, a strategic reorientation of resources at the sub-national level is needed. This paper describes how mathematical modelling was used mainland Tanzania to support revision that followed mid-term review 2015-2020 national plan (NMSP) and epidemiological risk stratification council 2018.Intervention mixes, selected by National Malaria Control Programme, were simulated for each strata per council. Intervention mixes included...
In non-pharmaceutical management of COVID-19, occupancy intensive care units (ICU) is often used as an indicator to inform when intensify mitigation and thus reduce SARS-CoV-2 transmission, strain on ICUs, deaths. However, ICU thresholds at which action should be taken are selected arbitrarily. We propose a quantitative approach using mathematical modeling identify triggered avoid exceeding the capacity available for COVID-19 patients demonstrate this United States city Chicago. stochastic...
Abstract Background In the context of high malaria burden yet limited resources, Guinea’s national program adopted an innovative subnational tailoring (SNT) approach, including engagement stakeholders, data review, and analytics, to update their operational plan for 2024-2026 identify most appropriate interventions each district considering resources available. Methods triggered SNT exercise with a list decisions that could be informed local data. The established team, which determined...
We demonstrate the ability of statistical data assimilation (SDA) to identify measurements required for accurate state and parameter estimation in an epidemiological model novel coronavirus disease COVID-19. Our context is effort inform policy regarding social behavior, mitigate strain on hospital capacity. The unknowns are taken be: time-varying transmission rate, fraction exposed cases that require hospitalization, detection probabilities new asymptomatic symptomatic cases. In simulations,...
With increasing spatial heterogeneity of malaria transmission and a shift the disease burden towards older children adults, pregnant women attending antenatal care (ANC) have been proposed as pragmatic sentinel population for surveillance. However, representativeness routine ANC test-positivity its relationship with prevalence in other subgroups are yet to be investigated.Monthly data from all Tanzanian health facilities January 2014 May 2016 was compared School Malaria Parasitaemia Survey...
Larviciding against malaria vectors in Africa has been limited to indoor residual spraying and insecticide-treated nets, but is increasingly being considered by some countries as a complementary strategy. However, despite progress towards improved larvicides new tools for mapping or treating mosquito-breeding sites, little known about the optimal deployment strategies larviciding different transmission seasonality settings.A model, OpenMalaria, was used simulate varying their impact on...
Vaccine effectiveness (VE) studies provide real-world evidence to monitor vaccine performance and inform policy. The WHO Regional Office for the Eastern Mediterranean supported a regional study assess VE of COVID-19 vaccines against different clinical outcomes in four countries between June 2021 August 2023. Health worker cohort were conducted 2707 health workers Egypt Pakistan, whom 171 experienced symptomatic laboratory-confirmed SARS-CoV-2 infection. Test-negative design case–control Iran...
Decision-makers impose COVID-19 mitigations based on public health indicators such as reported cases, which are sensitive to fluctuations in supply and demand for diagnostic testing, hospital admissions, lag infections by up two weeks. Imposing too early has unnecessary economic costs while imposing late leads uncontrolled epidemics with cases deaths. Sentinel surveillance of recently-symptomatic individuals outpatient testing sites may overcome biases lags conventional indicators, but the...
Abstract Background Availability of SARS-CoV-2 testing in the United States (U.S.) has fluctuated through course COVID-19 pandemic, including U.S. state Illinois. Despite substantial ramp-up test volume, access to remains limited, heterogeneous, and insufficient control spread. Methods We compared rates across geographic regions, over time, by demographic characteristics (i.e., age racial/ethnic groups) Illinois during March December 2020. age-matched case fatality ratios infection time...
Abstract We demonstrate the ability of statistical data assimilation to identify measurements required for accurate state and parameter estimation in an epidemiological model novel coronavirus disease COVID-19. Our context is effort inform policy regarding social behavior, mitigate strain on hospital capacity. The unknowns are taken be: time-varying transmission rate, fraction exposed cases that require hospitalization, detection probabilities new asymptomatic symptomatic cases. In...
<title>Abstract</title> <underline>Background</underline>For their 2021 – 2025 National Malaria Strategic Plan (NMSP), Nigeria’s Elimination Program (NMEP), in partnership with the World Health Organization (WHO), developed a targeted approach to intervention deployment at local government area (LGA) level as part of High Burden Impact response. Mathematical models malaria transmission were used predict impact proposed strategies on burden.<underline>Methods</underline>An agent-based model...
Abstract Background Decision-makers impose COVID-19 mitigations based on public health indicators such as reported cases, which are sensitive to fluctuations in supply and demand for diagnostic testing, hospital admissions, lag infections by up two weeks. Imposing too early has unnecessary economic costs, while imposing late leads uncontrolled epidemics with cases deaths. Sentinel surveillance of recently-symptomatic individuals outpatient testing sites may overcome biases lags conventional...
Abstract In managing COVID-19 with non-pharmaceutical interventions, occupancy of intensive care units (ICU) is often used as an indicator to inform when intensify mitigation and thus reduce SARS-CoV-2 transmission, strain on ICUs, deaths. However, ICU thresholds at which action should be taken are selected arbitrarily. We propose a quantitative approach using mathematical modeling identify triggered avoid exceeding the capacity available for patients. stochastic compartmental model simulate...
Abstract Background: A recent WHO recommendation for perennial malaria chemoprevention (PMC) encourages countries to adapt dose timing and number local conditions. However, knowledge gaps on the epidemiological impact of PMC possible combination with vaccine RTS,S hinder informed policy decisions in where burden young children remains high. Methods: We used EMOD model predict without clinical severe cases under age two years (U2). effect sizes were fit trial data. simulated three seven doses...