Daniel K Sewell
Biographic Data
| ID | 635919 |
|---|---|
| NAME | Daniel K Sewell |
| GIVEN NAMES | Daniel K |
| FAMILY NAME | Sewell |
| SIGNATURE | SEWELL D K |
| AFFILIATIONS | University of Iowa |
| ORCID | 0000-0002-9238-4026 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Insights from the front line
Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured foll…
Spatial–Temporal Patterns in the Enteric Pathogen Contamination of Soil in the Public Environments of Low- and Middle-Income Neighborhoods in Nairobi, Kenya
Public spaces in countries with limited societal development can be contaminated with feces containing pathogenic microbes from animals and people. Data on contamination levels, spatial distribution, and the diversity of enteric pathogens in the public settings of low- and middle-income neighborhoods are crucial for devising strategies that minimize the enteric infection burden. The objective of this study was to compare spatial-temporal differen…
Effectiveness of implementing evidence-based approaches to promote physical activity in a Midwestern micropolitan area using a quasi-experimental hybrid type I study design
The study demonstrates that the adapted evidence-based PA interventions in a micropolitan context is effective
The Association Between State Characteristics and Latinx People's Treated Hypertension in Established and New Latinx Destination States
This study sought to quantify the contributions of state-level factors including income inequality, state's legislature political control, and Medicaid expansion in new and established Latinx destination states on Latinx individuals' treated hypertension. Mixed-effects logistic regression analyses were conducted to analyze 2017 Behavioral Risk Factor Surveillance System data from 7524 Latinx adults nested within 39 states. Overall, 70% reported b…
Automated detection of edge clusters via an overfitted mixture prior
Most community detection methods focus on clustering actors with common features in a network. However, clustering edges offers a more intuitive way to understand the network structure in many real-life applications. Among the existing methods for network edge clustering, the majority are algorithmic, with the exception of the latent space edge clustering (LSEC) model proposed by Sewell ( Journal of Computational and Graphical Statistics, 30 (2),…
Ignored and distressed
Last responders are a critical part of the health care system. Throughout this pandemic, last responders have been frequently ignored and not prioritized for protection and support. Interventions to support last responders cope with stress, and to decrease anxiety are urgently needed. There is also a critical need to challenge community stigma towards last responders
Milk Product Safety and Household Food Hygiene Influence Bacterial Contamination of Infant Food in Peri-Urban Kenya
BACKGROUND: Milk is a common infant food in peri-urban Kenya that can transmit diarrhea-causing enteric pathogens. Little is known about how contamination of milk at point of purchase and household handling of milk-based infant foods contribute to infant exposure to enteric pathogens. OBJECTIVE: To compare the prevalence and concentrations of bacterial indicator organisms and enteric pathogens in unpackaged, fresh pasteurized, and ultra-high temp…
Identifying the Social Determinants of Treated Hypertension in New and Established Latino Destination States
A comparison of estimators for the network autocorrelation model based on observed social networks
Evaluating a Center for Interprofessional Education via Social Network Analysis
Centers and institutes are created to support interdisciplinary collaboration. However, all centers and institutes face the challenge of how best to evaluate their impact since traditional counts of productivity may not fully capture the interdisciplinary nature of this work. The authors applied techniques from social network analysis (SNA) to evaluate the impact of a center for interprofessional education (IPE), a growing area for centers becaus…
Social network members who engage in activities with older adults
Active participation in social activities is important for the wellbeing of older adults. This study explored benefits of active social engagement by evaluating whether relationships that comprise active involvement ( e.g. co-engagement in activities) bring more social benefits ( i.e. social support, companionship, positive social influence) than other relationships that do not involve co-engagement. A total of 133 adults ages 60 years and older …
Latent space models for network perception data
Social networks, wherein the edges represent nonbehavioral relations such as friendship, power, and influence, can be difficult to measure and model. A powerful tool to address this is cognitive social structures (Krackhardt, D. (1987). Cognitive social structures. Social Networks , 9 (2), 109–134.), where the perception of the entire network is elicited from each actor. We provide a formal statistical framework to analyze informants’ perceptions…
Active Ottumwa
Background : Evidence-based interventions have been developed and tested to promote physical activity, but fewer studies have focused on identifying effective intervention strategies for mid-size rural communities, especially new immigrant destinations. We report here on the design and implementation of Active Ottumwa, a community-wide intervention using a lay health advisor approach to increase physical activity in a micropolitan new destination…
Where Children Play
Globally, gastrointestinal (GI) infections by enteric pathogens are the second-leading cause of morbidity and mortality in children under five years of age (≤5 years). While GI pathogen exposure in households has been rigorously examined, there is little data about young children's exposure in public domains. Moreover, public areas in low-income settings are often used for other waste disposal practices in addition to human feces, such as trash d…
Calibration of the global physical activity questionnaire to Accelerometry measured physical activity and sedentary behavior
This research demonstrates the utility of calibrating self-report questionnaire data to objective measures to improve estimates of physical activity and sedentary behavior. It provides an understanding of the divide between objective and subjective measures, and provides a means to utilize the two methods as a unified measure
A qualitative assessment of the smoking policies and cessation activities at smaller workplaces
This study showed well-established tobacco control efforts in small workplaces, but very small workplaces lagged behind. To reduce potential health disparities in smoking, future research and intervention efforts in tobacco control should focus on very small workplaces
Simultaneous and temporal autoregressive network models
While logistic regression models are easily accessible to researchers, when applied to network data there are unrealistic assumptions made about the dependence structure of the data. For temporal networks measured in discrete time, recent work has made good advances (Almquist & Butts, 2014), but there is still the assumption that the dyads are conditionally independent given the edge histories. This assumption can be quite strong and is sometimes…
Network autocorrelation models with egocentric data
Heterogeneous susceptibilities in social influence models
A Clustering Approach to Legislative Styles
Latent space models for dynamic networks with weighted edges
A Clustering Approach to Legislative Styles
Automated detection of edge clusters via an overfitted mixture prior
Most community detection methods focus on clustering actors with common features in a network. However, clustering edges offers a more intuitive way to understand the network structure in many real-life applications. Among the existing methods for network edge clustering, the majority are algorithmic, with the exception of the latent space edge clustering (LSEC) model proposed by Sewell ( Journal of Computational and Graphical Statistics, 30 (2),…
Latent space models for network perception data
Social networks, wherein the edges represent nonbehavioral relations such as friendship, power, and influence, can be difficult to measure and model. A powerful tool to address this is cognitive social structures (Krackhardt, D. (1987). Cognitive social structures. Social Networks , 9 (2), 109–134.), where the perception of the entire network is elicited from each actor. We provide a formal statistical framework to analyze informants’ perceptions…
Simultaneous and temporal autoregressive network models
While logistic regression models are easily accessible to researchers, when applied to network data there are unrealistic assumptions made about the dependence structure of the data. For temporal networks measured in discrete time, recent work has made good advances (Almquist & Butts, 2014), but there is still the assumption that the dyads are conditionally independent given the edge histories. This assumption can be quite strong and is sometimes…
Latent space models for dynamic networks with weighted edges
Network autocorrelation models with egocentric data
Heterogeneous susceptibilities in social influence models
A Clustering Approach to Legislative Styles
Active Ottumwa
Background : Evidence-based interventions have been developed and tested to promote physical activity, but fewer studies have focused on identifying effective intervention strategies for mid-size rural communities, especially new immigrant destinations. We report here on the design and implementation of Active Ottumwa, a community-wide intervention using a lay health advisor approach to increase physical activity in a micropolitan new destination…
Where Children Play
Globally, gastrointestinal (GI) infections by enteric pathogens are the second-leading cause of morbidity and mortality in children under five years of age (≤5 years). While GI pathogen exposure in households has been rigorously examined, there is little data about young children's exposure in public domains. Moreover, public areas in low-income settings are often used for other waste disposal practices in addition to human feces, such as trash d…
Calibration of the global physical activity questionnaire to Accelerometry measured physical activity and sedentary behavior
This research demonstrates the utility of calibrating self-report questionnaire data to objective measures to improve estimates of physical activity and sedentary behavior. It provides an understanding of the divide between objective and subjective measures, and provides a means to utilize the two methods as a unified measure
A qualitative assessment of the smoking policies and cessation activities at smaller workplaces
This study showed well-established tobacco control efforts in small workplaces, but very small workplaces lagged behind. To reduce potential health disparities in smoking, future research and intervention efforts in tobacco control should focus on very small workplaces
Simultaneous and temporal autoregressive network models
While logistic regression models are easily accessible to researchers, when applied to network data there are unrealistic assumptions made about the dependence structure of the data. For temporal networks measured in discrete time, recent work has made good advances (Almquist & Butts, 2014), but there is still the assumption that the dyads are conditionally independent given the edge histories. This assumption can be quite strong and is sometimes…
Social network members who engage in activities with older adults
Active participation in social activities is important for the wellbeing of older adults. This study explored benefits of active social engagement by evaluating whether relationships that comprise active involvement ( e.g. co-engagement in activities) bring more social benefits ( i.e. social support, companionship, positive social influence) than other relationships that do not involve co-engagement. A total of 133 adults ages 60 years and older …
Latent space models for network perception data
Social networks, wherein the edges represent nonbehavioral relations such as friendship, power, and influence, can be difficult to measure and model. A powerful tool to address this is cognitive social structures (Krackhardt, D. (1987). Cognitive social structures. Social Networks , 9 (2), 109–134.), where the perception of the entire network is elicited from each actor. We provide a formal statistical framework to analyze informants’ perceptions…
Evaluating a Center for Interprofessional Education via Social Network Analysis
Centers and institutes are created to support interdisciplinary collaboration. However, all centers and institutes face the challenge of how best to evaluate their impact since traditional counts of productivity may not fully capture the interdisciplinary nature of this work. The authors applied techniques from social network analysis (SNA) to evaluate the impact of a center for interprofessional education (IPE), a growing area for centers becaus…
A comparison of estimators for the network autocorrelation model based on observed social networks
Milk Product Safety and Household Food Hygiene Influence Bacterial Contamination of Infant Food in Peri-Urban Kenya
BACKGROUND: Milk is a common infant food in peri-urban Kenya that can transmit diarrhea-causing enteric pathogens. Little is known about how contamination of milk at point of purchase and household handling of milk-based infant foods contribute to infant exposure to enteric pathogens. OBJECTIVE: To compare the prevalence and concentrations of bacterial indicator organisms and enteric pathogens in unpackaged, fresh pasteurized, and ultra-high temp…
Identifying the Social Determinants of Treated Hypertension in New and Established Latino Destination States
Ignored and distressed
Last responders are a critical part of the health care system. Throughout this pandemic, last responders have been frequently ignored and not prioritized for protection and support. Interventions to support last responders cope with stress, and to decrease anxiety are urgently needed. There is also a critical need to challenge community stigma towards last responders
Spatial–Temporal Patterns in the Enteric Pathogen Contamination of Soil in the Public Environments of Low- and Middle-Income Neighborhoods in Nairobi, Kenya
Public spaces in countries with limited societal development can be contaminated with feces containing pathogenic microbes from animals and people. Data on contamination levels, spatial distribution, and the diversity of enteric pathogens in the public settings of low- and middle-income neighborhoods are crucial for devising strategies that minimize the enteric infection burden. The objective of this study was to compare spatial-temporal differen…
Effectiveness of implementing evidence-based approaches to promote physical activity in a Midwestern micropolitan area using a quasi-experimental hybrid type I study design
The study demonstrates that the adapted evidence-based PA interventions in a micropolitan context is effective
The Association Between State Characteristics and Latinx People's Treated Hypertension in Established and New Latinx Destination States
This study sought to quantify the contributions of state-level factors including income inequality, state's legislature political control, and Medicaid expansion in new and established Latinx destination states on Latinx individuals' treated hypertension. Mixed-effects logistic regression analyses were conducted to analyze 2017 Behavioral Risk Factor Surveillance System data from 7524 Latinx adults nested within 39 states. Overall, 70% reported b…
Automated detection of edge clusters via an overfitted mixture prior
Most community detection methods focus on clustering actors with common features in a network. However, clustering edges offers a more intuitive way to understand the network structure in many real-life applications. Among the existing methods for network edge clustering, the majority are algorithmic, with the exception of the latent space edge clustering (LSEC) model proposed by Sewell ( Journal of Computational and Graphical Statistics, 30 (2),…
Insights from the front line
Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured foll…
Medicine (12 works) · Environmental health (8 works) · Computer Science (7 works) · Public health (7 works) · Complex Network Analysis Techniques (6 works) · Nursing (6 works) · Political science (6 works) · Psychological intervention (6 works) · Psychology (6 works) · Artificial Intelligence (5 works)