Steven Riley
Biographic Data
| ID | 6076953 |
|---|---|
| NAME | Steven Riley |
| GIVEN NAMES | Steven |
| FAMILY NAME | Riley |
| SIGNATURE | RILEY S |
| AFFILIATIONS | Imperial College London |
| ORCID | 0000-0001-7904-4804 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Infectious disease surveillance needs for the United States
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to …
Design and Implementation of a National Program to Monitor the Prevalence of Sars-CoV-2 IgG Antibodies in England Using Self-Testing
Data System. The UK Department of Health and Social Care funded the REal-time Assessment of Community Transmission-2 (REACT-2) study to estimate community prevalence of SARS-CoV-2 IgG (immunoglobulin G) antibodies in England. Data Collection/Processing. We obtained random cross-sectional samples of adults from the National Health Service (NHS) patient list (near-universal coverage). We sent participants a lateral flow immunoassay (LFIA) self-test…
Design and Implementation of a National Sars-CoV-2 Monitoring Program in England
Data System. The REal-time Assessment of Community Transmission-1 (REACT-1) Study was funded by the Department of Health and Social Care in England to provide reliable and timely estimates of prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection over time, by person and place. Data Collection/Processing. The study team (researchers from Imperial College London and its logistics partner Ipsos) wrote to named individu…
Population Monitoring of Sars-CoV-2 Infections via Random Sampling During the Covid-19 Pandemic
A s the COVID-19 pandemic took hold in early 2020, most countries were poorly equipped to deal with it.Despite the entreaties of the World Health Organization to "test, test, test," 1 few countries had the infrastructure, test equipment, laboratories, or resources to implement wide-scale testing.With the growing realization that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could be transmitted by those with mild symptoms…
Reduction in mobility and Covid-19 transmission
In response to the COVID-19 pandemic, countries have sought to control SARS-CoV-2 transmission by restricting population movement through social distancing interventions, thus reducing the number of contacts. Mobility data represent an important proxy measure of social distancing, and here, we characterise the relationship between transmission and mobility for 52 countries around the world. Transmission significantly decreased with the initial re…
Estimating the effects of non-pharmaceutical interventions on Covid-19 in Europe
Estimates of the severity of coronavirus disease 2019
BACKGROUND: In the face of rapidly changing data, a range of case fatality ratio estimates for coronavirus disease 2019 (COVID-19) have been produced that differ substantially in magnitude. We aimed to provide robust estimates, accounting for censoring and ascertainment biases. METHODS: We collected individual-case data for patients who died from COVID-19 in Hubei, mainland China (reported by national and provincial health commissions to Feb 8, 2…
Risky business
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
BACKGROUND: Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing p…
A cross-sectional study of the prevalence of intensity of infection with Schistosoma japonicumin 50 irrigated and rain-fed villages in Samar Province, the Philippines
We found very important village-to-village variation in prevalence of infection intensity. This variation is probably due to village-level variables other than that explained by a crude classification of villages into the irrigated and non-irrigated categories. We are planning to capture this spatial heterogeneity by updating our initial transmission dynamics model with the data reported here combined with 1-year post-treatment follow-up of study…
Strategies for containing an emerging influenza pandemic in Southeast Asia
Design and Implementation of a National Sars-CoV-2 Monitoring Program in England
Data System. The REal-time Assessment of Community Transmission-1 (REACT-1) Study was funded by the Department of Health and Social Care in England to provide reliable and timely estimates of prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection over time, by person and place. Data Collection/Processing. The study team (researchers from Imperial College London and its logistics partner Ipsos) wrote to named individu…
Risky business
Strategies for containing an emerging influenza pandemic in Southeast Asia
A cross-sectional study of the prevalence of intensity of infection with Schistosoma japonicumin 50 irrigated and rain-fed villages in Samar Province, the Philippines
We found very important village-to-village variation in prevalence of infection intensity. This variation is probably due to village-level variables other than that explained by a crude classification of villages into the irrigated and non-irrigated categories. We are planning to capture this spatial heterogeneity by updating our initial transmission dynamics model with the data reported here combined with 1-year post-treatment follow-up of study…
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
BACKGROUND: Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing p…
Risky business
Estimating the effects of non-pharmaceutical interventions on Covid-19 in Europe
Estimates of the severity of coronavirus disease 2019
BACKGROUND: In the face of rapidly changing data, a range of case fatality ratio estimates for coronavirus disease 2019 (COVID-19) have been produced that differ substantially in magnitude. We aimed to provide robust estimates, accounting for censoring and ascertainment biases. METHODS: We collected individual-case data for patients who died from COVID-19 in Hubei, mainland China (reported by national and provincial health commissions to Feb 8, 2…
Reduction in mobility and Covid-19 transmission
In response to the COVID-19 pandemic, countries have sought to control SARS-CoV-2 transmission by restricting population movement through social distancing interventions, thus reducing the number of contacts. Mobility data represent an important proxy measure of social distancing, and here, we characterise the relationship between transmission and mobility for 52 countries around the world. Transmission significantly decreased with the initial re…
Design and Implementation of a National Program to Monitor the Prevalence of Sars-CoV-2 IgG Antibodies in England Using Self-Testing
Data System. The UK Department of Health and Social Care funded the REal-time Assessment of Community Transmission-2 (REACT-2) study to estimate community prevalence of SARS-CoV-2 IgG (immunoglobulin G) antibodies in England. Data Collection/Processing. We obtained random cross-sectional samples of adults from the National Health Service (NHS) patient list (near-universal coverage). We sent participants a lateral flow immunoassay (LFIA) self-test…
Design and Implementation of a National Sars-CoV-2 Monitoring Program in England
Data System. The REal-time Assessment of Community Transmission-1 (REACT-1) Study was funded by the Department of Health and Social Care in England to provide reliable and timely estimates of prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection over time, by person and place. Data Collection/Processing. The study team (researchers from Imperial College London and its logistics partner Ipsos) wrote to named individu…
Population Monitoring of Sars-CoV-2 Infections via Random Sampling During the Covid-19 Pandemic
A s the COVID-19 pandemic took hold in early 2020, most countries were poorly equipped to deal with it.Despite the entreaties of the World Health Organization to "test, test, test," 1 few countries had the infrastructure, test equipment, laboratories, or resources to implement wide-scale testing.With the growing realization that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could be transmitted by those with mild symptoms…
Infectious disease surveillance needs for the United States
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to …
Medicine (10 works) · Coronavirus disease 2019 (COVID-19) (8 works) · COVID-19 epidemiological studies (8 works) · Disease (8 works) · Infectious disease (medical specialty) (8 works) · Pandemic (7 works) · Environmental health (6 works) · Demography (5 works) · Public health (5 works) · Computer Science (4 works)