Derek A T Cummings
Datos Biográficos
| ID | 1752819 |
|---|---|
| NOMBRE | Derek A T Cummings |
| NOMBRES | Derek A T |
| APELLIDO | Cummings |
| FIRMA | CUMMINGS D A T |
| AFILIACIONES | University of Florida |
| ORCID | 0000-0002-9437-1907 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAS | 2 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2003 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Comparing lagged impacts of mobility changes and environmental factors on Covid-19 waves in rural and urban India
Previous research in India has identified urbanisation, human mobility and population demographics as key variables associated with higher district level COVID-19 incidence. However, the spatiotemporal dynamics of mobility patterns in rural and urban areas in India, in conjunction with other drivers of COVID-19 transmission, have not been fully investigated. We explored travel networks within India during two pandemic waves using aggregated and a…
Improving mobility data for infectious disease research
The infected and the affected
Objectives: To identify risk factors associated with symptoms of anxiety, depression, and obsessive-compulsive disorder (OCD) among children during the 1st year of the COVID-19 pandemic. Methods: = 116)] was conducted at a K-12 public school in Florida. Infection and sero-positivity for SARS-CoV-2 was determined by molecular and serologic approaches. Adjusted odds ratios using mixed effect logistic regression models for symptom-derived indicators…
Covid-19 vaccine acceptance among individuals incarcerated in Connecticut state jails
Fine scale human mobility changes within 26 US cities in 2020 in response to the Covid-19 pandemic were associated with distance and income
Human mobility patterns changed greatly due to the COVID-19 pandemic. Despite many analyses investigating general mobility trends, there has been less work characterising changes in mobility on a fine spatial scale and developing frameworks to model these changes. We analyse zip code-level within-city mobility data from 26 US cities between February 2 –August 31, 2020. We use Bayesian models to characterise the initial decrease in mobility and mo…
Closing the health inequity gap during the pandemic
Temporal trends in COVID-19-related deaths and mortality among the Connecticut population residing in congregate and non-congregate settings, according to composite race and ethnic groups, March 2020 to December 2021. (A) Monthly COVID-19 deaths by race/ethnicity and residency status. (B) Age-adjusted monthly COVID-19 mortality (deaths per 100 000 population-months) by composite race and ethnic groups in the population residing in non-congregate …
Age-specific mortality and immunity patterns of Sars-CoV-2
The use of mobile phone data to inform analysis of Covid-19 pandemic epidemiology
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of the use of mobile phone data in outbreak response. Mobile phone data have been proposed to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of spatiotemporal spread, and to support contact tracing efforts. While these data may be an important part of COVID-19 response, their use must be considered alongside a careful underst…
Overlap between harm reduction and HIV service utilisation among PWID in India
Joint China-US Call for Employing a Transdisciplinary Approach to Emerging Infectious Diseases
In the spring of 2013, a newly pathogenic H7N9 influenza virus emerged in people in China, likely associated with wild and domestic birds (Kageyama et al. 2013). Marking the exact scenario that public health experts had feared—people were being infected, getting sick, and dying without the source of the virus being rapidly and definitively identified. In the absence of a clear understanding of the mode of transmission, early control of this epide…
Jumping Germs
Chapter 12. Toward a Containment Strategy for Smallpox Bioterror
Strategies for mitigating an influenza pandemic
Strategies for containing an emerging influenza pandemic in Southeast Asia
Containing Pandemic Influenza at the Source
Highly pathogenic avian influenza A (subtype H5N1) is threatening to cause a human pandemic of potentially devastating proportions. We used a stochastic influenza simulation model for rural Southeast Asia to investigate the effectiveness of targeted antiviral prophylaxis, quarantine, and pre-vaccination in containing an emerging influenza strain at the source. If the basic reproductive number ( R 0 ) was below 1.60, our simulations showed that a …
Contacting your GP when the surgery is closed
Closing the health inequity gap during the pandemic
Temporal trends in COVID-19-related deaths and mortality among the Connecticut population residing in congregate and non-congregate settings, according to composite race and ethnic groups, March 2020 to December 2021. (A) Monthly COVID-19 deaths by race/ethnicity and residency status. (B) Age-adjusted monthly COVID-19 mortality (deaths per 100 000 population-months) by composite race and ethnic groups in the population residing in non-congregate …
Contacting your GP when the surgery is closed
Contacting your GP when the surgery is closed
Strategies for containing an emerging influenza pandemic in Southeast Asia
Containing Pandemic Influenza at the Source
Highly pathogenic avian influenza A (subtype H5N1) is threatening to cause a human pandemic of potentially devastating proportions. We used a stochastic influenza simulation model for rural Southeast Asia to investigate the effectiveness of targeted antiviral prophylaxis, quarantine, and pre-vaccination in containing an emerging influenza strain at the source. If the basic reproductive number ( R 0 ) was below 1.60, our simulations showed that a …
Strategies for mitigating an influenza pandemic
Chapter 12. Toward a Containment Strategy for Smallpox Bioterror
Jumping Germs
Joint China-US Call for Employing a Transdisciplinary Approach to Emerging Infectious Diseases
In the spring of 2013, a newly pathogenic H7N9 influenza virus emerged in people in China, likely associated with wild and domestic birds (Kageyama et al. 2013). Marking the exact scenario that public health experts had feared—people were being infected, getting sick, and dying without the source of the virus being rapidly and definitively identified. In the absence of a clear understanding of the mode of transmission, early control of this epide…
Overlap between harm reduction and HIV service utilisation among PWID in India
The use of mobile phone data to inform analysis of Covid-19 pandemic epidemiology
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of the use of mobile phone data in outbreak response. Mobile phone data have been proposed to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of spatiotemporal spread, and to support contact tracing efforts. While these data may be an important part of COVID-19 response, their use must be considered alongside a careful underst…
Age-specific mortality and immunity patterns of Sars-CoV-2
Closing the health inequity gap during the pandemic
Temporal trends in COVID-19-related deaths and mortality among the Connecticut population residing in congregate and non-congregate settings, according to composite race and ethnic groups, March 2020 to December 2021. (A) Monthly COVID-19 deaths by race/ethnicity and residency status. (B) Age-adjusted monthly COVID-19 mortality (deaths per 100 000 population-months) by composite race and ethnic groups in the population residing in non-congregate …
The infected and the affected
Objectives: To identify risk factors associated with symptoms of anxiety, depression, and obsessive-compulsive disorder (OCD) among children during the 1st year of the COVID-19 pandemic. Methods: = 116)] was conducted at a K-12 public school in Florida. Infection and sero-positivity for SARS-CoV-2 was determined by molecular and serologic approaches. Adjusted odds ratios using mixed effect logistic regression models for symptom-derived indicators…
Covid-19 vaccine acceptance among individuals incarcerated in Connecticut state jails
Fine scale human mobility changes within 26 US cities in 2020 in response to the Covid-19 pandemic were associated with distance and income
Human mobility patterns changed greatly due to the COVID-19 pandemic. Despite many analyses investigating general mobility trends, there has been less work characterising changes in mobility on a fine spatial scale and developing frameworks to model these changes. We analyse zip code-level within-city mobility data from 26 US cities between February 2 –August 31, 2020. We use Bayesian models to characterise the initial decrease in mobility and mo…
Comparing lagged impacts of mobility changes and environmental factors on Covid-19 waves in rural and urban India
Previous research in India has identified urbanisation, human mobility and population demographics as key variables associated with higher district level COVID-19 incidence. However, the spatiotemporal dynamics of mobility patterns in rural and urban areas in India, in conjunction with other drivers of COVID-19 transmission, have not been fully investigated. We explored travel networks within India during two pandemic waves using aggregated and a…
Improving mobility data for infectious disease research
Medicine (15 obras) · Pandemic (10 obras) · COVID-19 epidemiological studies (8 obras) · Disease (8 obras) · Coronavirus disease 2019 (COVID-19) (6 obras) · Infectious disease (medical specialty) (6 obras) · Outbreak (6 obras) · Virology (6 obras) · Biology (5 obras) · Computer Science (5 obras)