Marc Lipsitch
Datos Biográficos
| ID | 6082282 |
|---|---|
| NOMBRE | Marc Lipsitch |
| NOMBRES | Marc |
| APELLIDO | Lipsitch |
| FIRMA | LIPSITCH M |
| AFILIACIONES | Center for Disease Dynamics, Economics & Policy |
| ORCID | 0000-0003-1504-9213 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 13 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 13 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2007 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Observational research in epidemic settings
Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring the data produced by these studies are scientifically robust and socially valuable. Resolving these challenges requires careful attention to prioritising the most valuable research questions, ensuring robust study design, strong data management practices, expansive community engagement, and access and benefit sharing of resul…
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 …
Fairness and efficiency considerations in Covid-19 vaccine allocation strategies
The COVID-19 epidemic in the United States has been characterized by two stark disparities. COVID-19 burden has been unequally distributed among racial and ethnic groups and at the same time the mortality rates have been sharply higher among older age groups. These disparities have led some to suggest that inequalities could be reduced by vaccinating front-line workers before vaccinating older individuals, as older individuals in the US are dispr…
Learning From Covid-19 to Improve Surveillance for Emerging Threats
Learning From COVID-19 to Improve Surveillance for Emerging Threats Daniel B. Jernigan MD, MPH, Dylan George PhD, and Marc Lipsitch DPhil Affiliation Daniel B. Jernigan is the director for the National Center for Emerging and Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention (CDC), Atlanta, GA, and is former deputy director for public health science and surveillance, CDC. Dylan George is the director of operations for th…
Wrong question and the wrong standard of proof
BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting
BACKGROUND: As mass vaccination campaigns against coronavirus disease 2019 (Covid-19) commence worldwide, vaccine effectiveness needs to be assessed for a range of outcomes across diverse populations in a noncontrolled setting. In this study, data from Israel's largest health care organization were used to evaluate the effectiveness of the BNT162b2 mRNA vaccine. METHODS: All persons who were newly vaccinated during the period from December 20, 20…
Projecting the transmission dynamics of Sars-CoV-2 through the postpandemic period
What happens next? Four months into the severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) outbreak, we still do not know enough about postrecovery immune protection and environmental and seasonal influences on transmission to predict transmission dynamics accurately. However, we do know that humans are seasonally afflicted by other, less severe coronaviruses. Kissler et al. used existing data to build a deterministic model of multiyear…
Estimating clinical severity of Covid-19 from the transmission dynamics in Wuhan, China
Defining the Epidemiology of Covid-19 — Studies Needed
Defining the Epidemiology of Covid-19 Experience with MERS, pandemic influenza, and other outbreaks has shown that as an epidemic evolves, we face an urgent need to expand public health activities ...
Aggregated mobility data could help fight Covid-19
Introduction to the article: As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding the effectiveness of public messaging and large-scale social distancing interventions is critical. The research and public health response communities can and should use population mobility data collected by private companies, with appropriate legal, organizational, and computational safeguards in place. When aggregated, these data can help ref…
Levels of outpatient prescribing for four major antibiotic classes and rates of septicemia hospitalization in adults in different US states - a statistical analysis
Our results suggest positive associations between the rates of prescribing for penicillins and the rates of hospitalization with septicemia in US adults aged 50-84y. Further studies are needed to better understand the potential effect of antibiotic replacement in the treatment of various syndromes, including the potential impact of the recent US FDA guidelines on restriction of fluoroquinolone use, as well as the potential effect of changes in th…
Negative Controls
Noncausal associations between exposures and outcomes are a threat to validity of causal inference in observational studies. Many techniques have been developed for study design and analysis to identify and eliminate such errors. Such problems are not expected to compromise experimental studies, where careful standardization of conditions (for laboratory work) and randomization (for population studies) should, if applied properly, eliminate most …
Public health interventions and epidemic intensity during the 1918 influenza pandemic
Nonpharmaceutical interventions (NPIs) intended to reduce infectious contacts between persons form an integral part of plans to mitigate the impact of the next influenza pandemic. Although the potential benefits of NPIs are supported by mathematical models, the historical evidence for the impact of such interventions in past pandemics has not been systematically examined. We obtained data on the timing of 19 classes of NPI in 17 U.S. cities durin…
Sin obras prominentes en esta página.
Public health interventions and epidemic intensity during the 1918 influenza pandemic
Nonpharmaceutical interventions (NPIs) intended to reduce infectious contacts between persons form an integral part of plans to mitigate the impact of the next influenza pandemic. Although the potential benefits of NPIs are supported by mathematical models, the historical evidence for the impact of such interventions in past pandemics has not been systematically examined. We obtained data on the timing of 19 classes of NPI in 17 U.S. cities durin…
Negative Controls
Noncausal associations between exposures and outcomes are a threat to validity of causal inference in observational studies. Many techniques have been developed for study design and analysis to identify and eliminate such errors. Such problems are not expected to compromise experimental studies, where careful standardization of conditions (for laboratory work) and randomization (for population studies) should, if applied properly, eliminate most …
Levels of outpatient prescribing for four major antibiotic classes and rates of septicemia hospitalization in adults in different US states - a statistical analysis
Our results suggest positive associations between the rates of prescribing for penicillins and the rates of hospitalization with septicemia in US adults aged 50-84y. Further studies are needed to better understand the potential effect of antibiotic replacement in the treatment of various syndromes, including the potential impact of the recent US FDA guidelines on restriction of fluoroquinolone use, as well as the potential effect of changes in th…
Projecting the transmission dynamics of Sars-CoV-2 through the postpandemic period
What happens next? Four months into the severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) outbreak, we still do not know enough about postrecovery immune protection and environmental and seasonal influences on transmission to predict transmission dynamics accurately. However, we do know that humans are seasonally afflicted by other, less severe coronaviruses. Kissler et al. used existing data to build a deterministic model of multiyear…
Estimating clinical severity of Covid-19 from the transmission dynamics in Wuhan, China
Defining the Epidemiology of Covid-19 — Studies Needed
Defining the Epidemiology of Covid-19 Experience with MERS, pandemic influenza, and other outbreaks has shown that as an epidemic evolves, we face an urgent need to expand public health activities ...
Aggregated mobility data could help fight Covid-19
Introduction to the article: As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding the effectiveness of public messaging and large-scale social distancing interventions is critical. The research and public health response communities can and should use population mobility data collected by private companies, with appropriate legal, organizational, and computational safeguards in place. When aggregated, these data can help ref…
BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting
BACKGROUND: As mass vaccination campaigns against coronavirus disease 2019 (Covid-19) commence worldwide, vaccine effectiveness needs to be assessed for a range of outcomes across diverse populations in a noncontrolled setting. In this study, data from Israel's largest health care organization were used to evaluate the effectiveness of the BNT162b2 mRNA vaccine. METHODS: All persons who were newly vaccinated during the period from December 20, 20…
Wrong question and the wrong standard of proof
Fairness and efficiency considerations in Covid-19 vaccine allocation strategies
The COVID-19 epidemic in the United States has been characterized by two stark disparities. COVID-19 burden has been unequally distributed among racial and ethnic groups and at the same time the mortality rates have been sharply higher among older age groups. These disparities have led some to suggest that inequalities could be reduced by vaccinating front-line workers before vaccinating older individuals, as older individuals in the US are dispr…
Learning From Covid-19 to Improve Surveillance for Emerging Threats
Learning From COVID-19 to Improve Surveillance for Emerging Threats Daniel B. Jernigan MD, MPH, Dylan George PhD, and Marc Lipsitch DPhil Affiliation Daniel B. Jernigan is the director for the National Center for Emerging and Zoonotic Infectious Diseases, US Centers for Disease Control and Prevention (CDC), Atlanta, GA, and is former deputy director for public health science and surveillance, CDC. Dylan George is the director of operations for th…
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 …
Observational research in epidemic settings
Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring the data produced by these studies are scientifically robust and socially valuable. Resolving these challenges requires careful attention to prioritising the most valuable research questions, ensuring robust study design, strong data management practices, expansive community engagement, and access and benefit sharing of resul…
Medicine (12 obras) · Computer Science (8 obras) · Public health (8 obras) · Coronavirus disease 2019 (COVID-19) (7 obras) · COVID-19 epidemiological studies (7 obras) · Disease (7 obras) · 2019-20 coronavirus outbreak (6 obras) · Infectious disease (medical specialty) (6 obras) · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (6 obras) · Virology (6 obras)