A5021185472- COVID-19 epidemiological studies
- Groundwater and Isotope Geochemistry
- SARS-CoV-2 and COVID-19 Research
- Atmospheric and Environmental Gas Dynamics
- Vaccine Coverage and Hesitancy
- Risk and Safety Analysis
- Air Quality and Health Impacts
- COVID-19 Pandemic Impacts
- Water Quality and Pollution Assessment
- COVID-19 and Mental Health
- Plant and animal studies
- Water Quality and Resources Studies
- Atmospheric chemistry and aerosols
- COVID-19 and healthcare impacts
- Insect and Arachnid Ecology and Behavior
- Aquatic Ecosystems and Phytoplankton Dynamics
- Soil and Water Nutrient Dynamics
- Environmental Justice and Health Disparities
- Air Quality Monitoring and Forecasting
- Animal Behavior and Reproduction
- Influenza Virus Research Studies
University of Iowa
2024
The University of Texas at Austin
2022-2023
Pennsylvania State University
2019-2022
Center for Disease Dynamics, Economics & Policy
2020-2022
Abstract Background When three SARS-CoV-2 vaccines came to market in Europe and North America the winter of 2020–2021, distribution networks were a race against major epidemiological wave that began autumn 2020. Rapid optimized vaccine allocation was critical during this time. With 95% efficacy reported for two vaccines, near-term public health needs likely require is prioritized elderly, care workers, teachers, essential individuals with comorbidities putting them at risk severe clinical...
State-level reopenings in late spring 2020 facilitated the resurgence of severe acute respiratory syndrome coronavirus 2 transmission. Here, we analyze age-structured case, hospitalization, and death time series from three states—Rhode Island, Massachusetts, Pennsylvania—that had successful May without summer waves infection. Using 11 daily data streams, show that to summer, epidemic shifted an older a younger age profile elderly individuals were less able reduce contacts during lockdown...
In emergency epidemic and pandemic settings, public health agencies need to be able measure the population-level attack rate, defined as total percentage of population infected thus far. During vaccination campaigns in such assess how much campaign is contributing immunity; specifically, proportion vaccines being administered individuals who are already seropositive must estimated. To estimate immunity SARS-CoV-2 through May 31, 2021, Rhode Island, Massachusetts, Connecticut. This...
Abstract Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes order to understand predict the effects global climate land‐use change. Historically, lake landscape characteristics have been used as predictor variables regression models generate predictions, but often with significant uncertainty. An alternative approach improve predictions is leverage observed relationship between water clarity nutrients,...
Abstract As three SARS-CoV-2 vaccines come to market in Europe and North America the winter of 2020-2021, distribution networks will be a race against major epidemiological wave that began autumn 2020. Rapid optimized vaccine allocation is critical during this time. With 95% efficacy reported for two vaccines, near-term public health needs require prioritized elderly, health-care workers, teachers, essential individuals with co-morbidities putting them at risk severe clinical progression....
In the United States, state-level re-openings in spring 2020 presented an opportunity for resurgence of SARS-CoV-2 transmission. One important question during this time was whether human contact and mixing patterns could increase gradually without increasing viral transmission, rationale being that new would likely be associated with improved distancing, masking, hygiene practices. A second key to follow clinical characteristics epidemic improve after initial surge cases. Here, we analyze...
Understanding how individual pollution sources contribute to ambient sulfate is critical for assessing past and future air quality regulations. Since attribution specific typically not encoded in spatial data, we develop a mechanistic model which use estimate, with uncertainty, the contribution of concentrations attributable specifically sulfur dioxide (SO2) emissions from coal-fired power plants central United States. We propose multivariate Ornstein-Uhlenbeck (OU) process approximation...
Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination local and nonlocal treatment. This especially relevant when estimating effect power plant emissions controls population health, as pollution exposure dictated by: (i) location point-source well (ii) transport pollutants across space via dynamic physical-chemical processes. In this work we estimate effectiveness air quality...
Estimating an infectious disease attack rate requires inference on the number of reported symptomatic cases a disease, unreported cases, and asymptomatic infections. Population-level immunity can then be estimated as plus vaccine recipients who had not been previously infected; this estimate fraction vaccines that were distributed to seropositive individuals. To rates population in southern New England, we fit validated dynamic epidemiological model case, clinical, death data streams by...
Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination local and non-local treatment. This especially relevant when estimating effect power plant emissions controls population health, as pollution exposure dictated by (i) location point-source emissions, well (ii) transport pollutants across space via dynamic physical-chemical processes. In this work, we estimate effectiveness air...
We develop a mechanistic model to analyze the impact of sulfur dioxide emissions from coal-fired power plants on average sulfate concentrations in central United States. A multivariate Ornstein-Uhlenbeck (OU) process is used approximate dynamics underlying space-time chemical transport process, and its distributional properties are leveraged specify novel probability models for spatial data (i.e., spatially-referenced with no temporal replication) that viewed as either snapshot or...