22 results on '"Pitzer, Virginia E"'
Search Results
2. Incorporating Efficacy Data from Initial Trials Into Subsequent Evaluations: Application to Vaccines Against Respiratory Syncytial Virus.
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Warren, Joshua L., Sundaram, Maria, Pitzer, Virginia E., Omer, Saad B., and Weinberger, Daniel M.
- Abstract
Background: When a randomized controlled trial fails to demonstrate statistically significant efficacy against the primary endpoint, a potentially costly new trial would need to be conducted to receive licensure. Incorporating data from previous trials might allow for more efficient follow-up trials to demonstrate efficacy, speeding the availability of effective vaccines. Methods: Based on the outcomes from a failed trial of a maternal vaccine against respiratory syncytial virus (RSV), we simulated data for a new Bayesian group-sequential trial. We analyzed the data either ignoring data from the previous trial (i.e., weakly informative prior distributions) or using prior distributions incorporating the historical data into the analysis. We evaluated scenarios where efficacy in the new trial was the same, greater than, or less than that in the original trial. For each scenario, we evaluated the statistical power and type I error rate for estimating the vaccine effect following interim analyses. Results: When we used a stringent threshold to control the type I error rate, analyses incorporating historical data had a small advantage over trials that did not. If control of type I error is less important (e.g., in a postlicensure evaluation), the incorporation of historical data can provide a substantial boost in efficiency. Conclusions: Due to the need to control the type I error rate in trials used to license a vaccine, incorporating historical data provides little additional benefit in terms of stopping the trial early. However, these statistical approaches could be promising in evaluations that use realworld evidence following licensure. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Incorporating Data from Multiple Endpoints in the Analysis of Clinical Trials: Example from RSV Vaccines.
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Prunas, Ottavia, Willemsen, Joukje E., Bont, Louis, Pitzer, Virginia E., Warren, Joshua L., and Weinberger, Daniel M.
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Background: To meet regulatory approval, interventions must demonstrate efficacy against a primary outcome in randomized clinical trials. However, when there are multiple clinically relevant outcomes, selecting a single primary outcome is challenging. Incorporating data from multiple outcomes may increase statistical power in clinical trials. We examined methods for analyzing data on multiple endpoints, inspired by real-world trials of interventions against respiratory syncytial virus (RSV). Method: We developed a novel permutation test representing a weighted average of individual outcome test statistics (wavP) to evaluate intervention efficacy in a multiple endpoint analysis. We compared the power and type I error rate of this approach to the Bonferroni correction (bonfT) and the minP permutation test. We evaluated the different approaches using simulated data from three hypothetical trials varying the intervention efficacy, correlation, and incidence of the outcomes, and data from a real-world RSV clinical trial. Results: When the vaccine efficacy against different outcomes was similar, wavP yielded higher power than bonfT and minP ; in some scenarios the improvement in power was substantial. In settings where vaccine efficacy was notably larger against one endpoint compared with the others, all three methods had similar power. We developed an R package, PERmutation basEd ANalysis of mulTiple Endpoints (PERMEATE), to guide the selection of the most appropriate method for analyzing multiple endpoints in clinical trials. Conclusions: Analyzing multiple endpoints using a weighted permutation method can increase power, whereas controlling the type I error rate compared with established methods under conditions mirroring real-world RSV clinical trials. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Incorporating Data from Multiple Endpoints in the Analysis of Clinical Trials: Example from RSV Vaccines
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Prunas, Ottavia, Willemsen, Joukje E., Bont, Louis, Pitzer, Virginia E., Warren, Joshua L., and Weinberger, Daniel M.
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- 2024
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5. Expanded Programme on Immunization at 50 years: its legacy and future
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Wahl, Brian and Pitzer, Virginia E
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- 2024
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6. Floods and Diarrhea Risk in Young Children in Low- and Middle-Income Countries
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Wang, Pin, Asare, Ernest O., Pitzer, Virginia E., Dubrow, Robert, and Chen, Kai
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IMPORTANCE: Climate change is associated with more frequent and intense floods. Current research on the association between flood exposure and diarrhea risk is limited mainly to short-term and event-specific analyses. Moreover, how prior drought or water, sanitation, and hygiene (WaSH) practices influence this association remains largely unknown. OBJECTIVE: To examine the association between flood exposure and diarrhea risk among children younger than 5 years and to evaluate the compounding influence of prior drought and effect modification by WaSH. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included multicluster surveys conducted by the Demographic and Health Surveys Program in 43 low- and middle-income countries during 2009 through 2019. This study included children younger than 5 years in all households from each survey cluster. Collected data were analyzed between September 1 and December 31, 2022. EXPOSURES: Historical flood events during 2009 through 2019 were obtained from the Dartmouth Flood Observatory. MAIN OUTCOME AND MEASURES: The main outcome was diarrhea prevalence among children younger than 5 years in the 2 weeks before the survey was conducted. Results were analyzed by binomial generalized linear mixed-effects logistic regression models with nested random intercepts for country and survey cluster. RESULTS: Among 639 250 children making up the complete data series (excluding 274 847 children with missing values for diarrhea or baseline characteristics), 6365 (mean [SD] age, 28.9 [17.2] months; 3214 boys [50.5%]; 3151 girls [49.5%]) were exposed to floods during the 8 weeks after a flood started. The prevalence of diarrhea was 13.2% (n = 839) among exposed children and 12.7% (n = 80 337) among unexposed children. Exposure to floods was associated with increased diarrhea risk, with the highest odds ratio (OR) observed during the second to fourth weeks after floods started (OR, 1.35; 95% CI, 1.05-1.73). When floods were stratified by severity and duration, significant associations were observed only for extreme floods (OR during the third to fifth weeks, 2.07; 95% CI, 1.37-3.11) or floods lasting more than 2 weeks (OR during the second to fourth weeks, 1.47; 95% CI, 1.13-1.92), with significantly stronger associations than for less extreme floods or shorter-duration floods, respectively. The OR during the first 4 weeks after the start of floods was significantly higher for floods preceded by a 6-month or longer drought (12-month drought OR, 1.96; 95% CI, 1.53-2.52) than for floods not preceded by a 6-month or longer drought (12-month drought OR, 1.00; 95% CI, 0.79-1.27). CONCLUSIONS: These findings suggest that floods, especially severe floods, long-duration floods, and floods preceded by drought, are associated with an increased risk of diarrhea among children younger than 5 years living in low- and middle-income countries. With the projected increasing frequency and intensity of floods and drought under climate change, greater collective efforts are needed to protect children’s health from these compounding events.
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- 2023
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7. Odds of Testing Positive for SARS-CoV-2 Following Receipt of 3 vs 2 Doses of the BNT162b2 mRNA Vaccine
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Patalon, Tal, Gazit, Sivan, Pitzer, Virginia E., Prunas, Ottavia, Warren, Joshua L., and Weinberger, Daniel M.
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IMPORTANCE: With the evidence of waning immunity of the mRNA vaccine BNT162b2 (Pfizer-BioNTech), a nationwide third-dose (booster) vaccination campaign was initiated in Israel during August 2021; other countries have begun to administer a booster shot as well. OBJECTIVE: To evaluate the initial short-term additional benefit of a 3-dose vs a 2-dose regimen against infection of SARS-CoV-2. DESIGN, SETTING, AND PARTICIPANTS: This preliminary retrospective case-control study used 2 complementary approaches: a test-negative design and a matched case-control design. Participants were included from the national centralized database of Maccabi Healthcare Services, an Israeli healthcare maintenance organization covering 2.5 million members. Data were collected between March 1, 2020, and October 4, 2021, and analyses focused on the period from August 1, 2021, to October 4, 2021, because the booster dose was widely administered from August 1 onward. EXPOSURES: Either 2 doses or 3 doses of the BNT162b2 vaccine. MAIN OUTCOMES AND MEASURES: The reduction in the odds of a positive SARS-CoV-2 polymerase chain reaction (PCR) test at different time intervals following receipt of the booster dose (0-6, 7-13, 14-20, 21-27, and 28-65 days) compared with receiving only 2 doses. RESULTS: The study population included 306 710 members of Maccabi Healthcare Services who were 40 years and older (55% female) and received either 2 or 3 doses of the BNT162b2 vaccine and did not have a positive PCR test result for SARS-CoV-2 prior to the start of the follow-up period. During this period, there were 500 232 PCR tests performed, 227 380 among those who received 2 doses and 272 852 among those who received 3 doses, with 14 989 (6.6%) and 4941 (1.8%) positive test results in each group, respectively. Comparing those who received a booster and those who received 2 doses, there was an estimated odds ratio of 0.14 (95% CI, 0.13-0.15) 28 to 65 days following receipt of the booster (86% reduction in the odds of testing positive for SARS-CoV-2). CONCLUSION AND RELEVANCE: Previous studies have demonstrated that vaccine-derived protection against SARS-CoV-2 wanes over time. In this case-control analysis, we showed an association between receipt of the booster dose and a reduction in the odds of testing positive for SARS-CoV-2, potentially counteracting waning immunity in the short term. Further monitoring of data from this population is needed to determine the duration of immunity following the booster.
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- 2022
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8. Protection by vaccination of children against typhoid fever with a Vi-tetanus toxoid conjugate vaccine in urban Bangladesh: a cluster-randomised trial
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Qadri, Firdausi, Khanam, Farhana, Liu, Xinxue, Theiss-Nyland, Katherine, Biswas, Prasanta Kumar, Bhuiyan, Amirul Islam, Ahmmed, Faisal, Colin-Jones, Rachel, Smith, Nicola, Tonks, Susan, Voysey, Merryn, Mujadidi, Yama F, Mazur, Olga, Rajib, Nazmul Hasan, Hossen, Md Ismail, Ahmed, Shams Uddin, Khan, Arifuzzaman, Rahman, Nazia, Babu, Golap, Greenland, Melanie, Kelly, Sarah, Ireen, Mahzabeen, Islam, Kamrul, O'Reilly, Peter, Scherrer, Karin Sofia, Pitzer, Virginia E, Neuzil, Kathleen M, Zaman, K, Pollard, Andrew J, and Clemens, John D
- Abstract
Typhoid fever remains a major cause of morbidity and mortality in low-income and middle-income countries. Vi-tetanus toxoid conjugate vaccine (Vi-TT) is recommended by WHO for implementation in high-burden countries, but there is little evidence about its ability to protect against clinical typhoid in such settings.
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- 2021
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9. Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020
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Weinberger, Daniel M., Chen, Jenny, Cohen, Ted, Crawford, Forrest W., Mostashari, Farzad, Olson, Don, Pitzer, Virginia E., Reich, Nicholas G., Russi, Marcus, Simonsen, Lone, Watkins, Anne, and Viboud, Cecile
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IMPORTANCE: Efforts to track the severity and public health impact of coronavirus disease 2019 (COVID-19) in the United States have been hampered by state-level differences in diagnostic test availability, differing strategies for prioritization of individuals for testing, and delays between testing and reporting. Evaluating unexplained increases in deaths due to all causes or attributed to nonspecific outcomes, such as pneumonia and influenza, can provide a more complete picture of the burden of COVID-19. OBJECTIVE: To estimate the burden of all deaths related to COVID-19 in the United States from March to May 2020. DESIGN, SETTING, AND POPULATION: This observational study evaluated the numbers of US deaths from any cause and deaths from pneumonia, influenza, and/or COVID-19 from March 1 through May 30, 2020, using public data of the entire US population from the National Center for Health Statistics (NCHS). These numbers were compared with those from the same period of previous years. All data analyzed were accessed on June 12, 2020. MAIN OUTCOMES AND MEASURES: Increases in weekly deaths due to any cause or deaths due to pneumonia/influenza/COVID-19 above a baseline, which was adjusted for time of year, influenza activity, and reporting delays. These estimates were compared with reported deaths attributed to COVID-19 and with testing data. RESULTS: There were approximately 781 000 total deaths in the United States from March 1 to May 30, 2020, representing 122 300 (95% prediction interval, 116 800-127 000) more deaths than would typically be expected at that time of year. There were 95 235 reported deaths officially attributed to COVID-19 from March 1 to May 30, 2020. The number of excess all-cause deaths was 28% higher than the official tally of COVID-19–reported deaths during that period. In several states, these deaths occurred before increases in the availability of COVID-19 diagnostic tests and were not counted in official COVID-19 death records. There was substantial variability between states in the difference between official COVID-19 deaths and the estimated burden of excess deaths. CONCLUSIONS AND RELEVANCE: Excess deaths provide an estimate of the full COVID-19 burden and indicate that official tallies likely undercount deaths due to the virus. The mortality burden and the completeness of the tallies vary markedly between states.
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- 2020
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10. Diarrhea Patterns and Climate: A Spatiotemporal Bayesian Hierarchical Analysis of Diarrheal Disease in Afghanistan.
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Anwar, Mohammad Y., Warren, Joshua L., and Pitzer, Virginia E.
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- 2019
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11. Temporally Varying Relative Risks for Infectious Diseases: Implications for Infectious Disease Control.
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Goldstein, Edward, Pitzer, Virginia E., O’Hagan, Justin J., Lipsitch, Marc, and O'Hagan, Justin J
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INFLUENZA prevention ,INFLUENZA vaccines ,WHOOPING cough vaccines ,INFLUENZA epidemiology ,PREVENTION of communicable diseases ,EPIDEMICS ,INFECTION ,PROBABILITY theory ,SEASONS ,TIME ,WHOOPING cough ,PREVENTION ,VACCINATION ,THERAPEUTICS - Abstract
Risks for disease in some population groups relative to others (relative risks) are usually considered to be consistent over time, although they are often modified by other, nontemporal factors. For infectious diseases, in which overall incidence often varies substantially over time, the patterns of temporal changes in relative risks can inform our understanding of basic epidemiologic questions. For example, recent studies suggest that temporal changes in relative risks of infection over the course of an epidemic cycle can both be used to identify population groups that drive infectious disease outbreaks, and help elucidate differences in the effect of vaccination against infection (that is relevant to transmission control) compared with its effect against disease episodes (that reflects individual protection). Patterns of change in the age groups affected over the course of seasonal outbreaks can provide clues to the types of pathogens that could be responsible for diseases for which an infectious cause is suspected. Changing apparent efficacy of vaccines during trials may provide clues to the vaccine's mode of action and/or indicate risk heterogeneity in the trial population. Declining importance of unusual behavioral risk factors may be a signal of increased local transmission of an infection. We review these developments and the related public health implications. [ABSTRACT FROM AUTHOR]
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- 2017
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12. Temporally Varying Relative Risks for Infectious Diseases
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Goldstein, Edward, Pitzer, Virginia E., O’Hagan, Justin J., and Lipsitch, Marc
- Abstract
Risks for disease in some population groups relative to others (relative risks) are usually considered to be consistent over time, although they are often modified by other, nontemporal factors. For infectious diseases, in which overall incidence often varies substantially over time, the patterns of temporal changes in relative risks can inform our understanding of basic epidemiologic questions. For example, recent studies suggest that temporal changes in relative risks of infection over the course of an epidemic cycle can both be used to identify population groups that drive infectious disease outbreaks, and help elucidate differences in the effect of vaccination against infection (that is relevant to transmission control) compared with its effect against disease episodes (that reflects individual protection). Patterns of change in the age groups affected over the course of seasonal outbreaks can provide clues to the types of pathogens that could be responsible for diseases for which an infectious cause is suspected. Changing apparent efficacy of vaccines during trials may provide clues to the vaccine’s mode of action and/or indicate risk heterogeneity in the trial population. Declining importance of unusual behavioral risk factors may be a signal of increased local transmission of an infection. We review these developments and the related public health implications.
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- 2017
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13. Global Seasonality of Rotavirus Disease
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Patel, Manish M., Pitzer, Virginia E., Alonso, Wladimir J., Vera, David, Lopman, Ben, Tate, Jacqueline, Viboud, Cecile, and Parashar, Umesh D.
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A substantial number of surveillance studies have documented rotavirus prevalence among children admitted for dehydrating diarrhea. We sought to establish global seasonal patterns of rotavirus disease before the introduction of widespread vaccination.
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- 2013
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14. Influence of birth rates and transmission rates on the global seasonality of rotavirus incidence
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Pitzer, Virginia E., Viboud, Cécile, Lopman, Ben A., Patel, Manish M., Parashar, Umesh D., and Grenfell, Bryan T.
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Rotavirus is a major cause of mortality in developing countries, and yet the dynamics of rotavirus in such settings are poorly understood. Rotavirus is typically less seasonal in the tropics, although recent observational studies have challenged the universality of this pattern. While numerous studies have examined the association between environmental factors and rotavirus incidence, here we explore the role of intrinsic factors. By fitting a mathematical model of rotavirus transmission dynamics to published age distributions of cases from 15 countries, we obtain estimates of local transmission rates. Model-predicted patterns of seasonal incidence based solely on differences in birth rates and transmission rates are significantly correlated with those observed (Spearman's ρ= 0.65, p< 0.05). We then examine seasonal patterns of rotavirus predicted across a range of different birth rates and transmission rates and explore how vaccination may impact these patterns. Our results suggest that the relative lack of rotavirus seasonality observed in many tropical countries may be due to the high birth rates and transmission rates typical of developing countries rather than being driven primarily by environmental conditions. While vaccination is expected to decrease the overall burden of disease, it may increase the degree of seasonal variation in the incidence of rotavirus in some settings.
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- 2011
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15. Short term, relative effectiveness of four doses versus three doses of BNT162b2 vaccine in people aged 60 years and older in Israel: retrospective, test negative, case-control study
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Gazit, Sivan, Saciuk, Yaki, Perez, Galit, Peretz, Asaf, Pitzer, Virginia E, and Patalon, Tal
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ObjectiveTo examine the relative effectiveness of a fourth dose of the Pfizer-BioNTech mRNA (BNT162b2) vaccine compared with three vaccine doses over the span of 10 weeks.DesignRetrospective, test negative, case-control study, with a matched analysis and an unmatched multiple tests analysis.SettingNationally centralised database of Maccabi Healthcare Services, an Israeli national health fund for 2.5 million people; from 10 January 2022 (seven days after the fourth dose was first given to eligible individuals) to 13 March 2022, an omicron dominant period in Israel.Participants97 499 Maccabi Healthcare Services members aged 60 years and older, who were eligible to receive a fourth vaccine dose and obtained at least one polymerase chain reaction (PCR) test during the study.Main outcome measuresBreakthrough SARS-CoV-2 infection, defined as a positive PCR test performed seven or more days after inoculation with the BNT162b2 vaccine; and breakthrough SARS-CoV-2 infection resulting in severe covid-19 disease, defined as hospital admission or death related to covid-19.Results27 876 participants received the fourth BNT162b2 vaccine dose and 69 623 received three doses only. Of 106 participants who died during the follow-up period, 77 had had their third doses only and 23 had had their fourth doses during the first three weeks after inoculation. In the first three weeks, a fourth dose provided additional protection against both SARS-CoV-2 infection and severe disease relative to three doses of the vaccine. However, relative vaccine effectiveness against infection quickly decreased over time, peaking during the third week at 65.1% (95% confidence interval 63.0% to 67.1%) and falling to 22.0% (4.9% to 36.1%) by the end of the 10 week follow-up period. Unlike relative effectiveness against SARS-CoV-2 infection, the relative effectiveness of a fourth dose against severe covid-19 was maintained at a high level (>72%) throughout follow-up. However, severe disease was a relatively rare event, occurring in <1% of study participants who received four doses or three doses only.ConclusionsA fourth dose of the BNT162b2 vaccine appears to have provided additional protection against both SARS-CoV-2 infection and severe covid-19 disease relative to three vaccine doses. However, relative effectiveness of the fourth dose against infection appears to wane sooner than that of the third dose.
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- 2022
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16. Comparative transmissibility of SARS-CoV-2 variants Delta and Alpha in New England, USA
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Earnest, Rebecca, Uddin, Rockib, Matluk, Nicholas, Renzette, Nicholas, Turbett, Sarah E., Siddle, Katherine J., Loreth, Christine, Adams, Gordon, Tomkins-Tinch, Christopher H., Petrone, Mary E., Rothman, Jessica E., Breban, Mallery I., Koch, Robert Tobias, Billig, Kendall, Fauver, Joseph R., Vogels, Chantal B.F., Bilguvar, Kaya, De Kumar, Bony, Landry, Marie L., Peaper, David R., Kelly, Kevin, Omerza, Greg, Grieser, Heather, Meak, Sim, Martha, John, Dewey, Hannah B., Kales, Susan, Berenzy, Daniel, Carpenter-Azevedo, Kristin, King, Ewa, Huard, Richard C., Novitsky, Vlad, Howison, Mark, Darpolor, Josephine, Manne, Akarsh, Kantor, Rami, Smole, Sandra C., Brown, Catherine M., Fink, Timelia, Lang, Andrew S., Gallagher, Glen R., Pitzer, Virginia E., Sabeti, Pardis C., Gabriel, Stacey, MacInnis, Bronwyn L., Altajar, Ahmad, DeJesus, Alexandra, Brito, Anderson, Watkins, Anne E., Muyombwe, Anthony, Blumenstiel, Brendan S., Neal, Caleb, Kalinich, Chaney C., Liu, Chen, Loreth, Christine, Castaldi, Christopher, Pearson, Claire, Bernard, Clare, Nolet, Corey M., Ferguson, David, Buzby, Erika, Laszlo, Eva, Reagan, Faye L., Vicente, Gina, Rooke, Heather M., Munger, Heidi, Johnson, Hillary, Tikhonova, Irina R., Ott, Isabel M., Razeq, Jafar, Meldrim, James C., Brown, Jessica, Wang, Jianhui, Vostok, Johanna, Beauchamp, John P., Grimsby, Jonna L., Hall, Joshua, Messer, Katelyn S., Larkin, Katie L., Vernest, Kyle, Madoff, Lawrence C., Green, Lisa M., Webber, Lori, Gagne, Luc, Ulcena, Maesha A., Ray, Marianne C., Fisher, Marissa E., Barter, Mary, Lee, Matthew D., DeFelice, Matthew T., Cipicchio, Michelle C., Smith, Natasha L., Lennon, Niall J., Fitzgerald, Nicholas A., Kerantzas, Nicholas, Hui, Pei, Harrington, Rachel, Downing, Randy, Haye, Rashida, Lynch, Ryan, Anderson, Scott E., Hennigan, Scott, English, Sean, Cofsky, Seana, Clancy, Selina, Mane, Shrikant, Ash, Stephanie, Baez, Stephanie, Fleming, Steve, Murphy, Steven, Chaluvadi, Sushma, Alpert, Tara, Rivard, Trevor, Schulz, Wade, Mandese, Zoe M., Tewhey, Ryan, Adams, Mark D., Park, Daniel J., Lemieux, Jacob E., and Grubaugh, Nathan D.
- Abstract
The SARS-CoV-2 Delta variant rose to dominance in mid-2021, likely propelled by an estimated 40%–80% increased transmissibility over Alpha. To investigate if this ostensible difference in transmissibility is uniform across populations, we partner with public health programs from all six states in New England in the United States. We compare logistic growth rates during each variant’s respective emergence period, finding that Delta emerged 1.37–2.63 times faster than Alpha (range across states). We compute variant-specific effective reproductive numbers, estimating that Delta is 63%–167% more transmissible than Alpha (range across states). Finally, we estimate that Delta infections generate on average 6.2 (95% CI 3.1–10.9) times more viral RNA copies per milliliter than Alpha infections during their respective emergence. Overall, our evidence suggests that Delta’s enhanced transmissibility can be attributed to its innate ability to increase infectiousness, but its epidemiological dynamics may vary depending on underlying population attributes and sequencing data availability.
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- 2022
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17. Linking data and models: the importance of statistical analyses to inform models for the transmission dynamics of infections.
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Pitzer VE, Basta NE, Pitzer, Virginia E, and Basta, Nicole E
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- 2012
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18. Commentary
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Pitzer, Virginia E. and Basta, Nicole E.
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- 2012
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19. Evaluating strategies to improve rotavirus vaccine impact during the second year of life in Malawi
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Pitzer, Virginia E., Bennett, Aisleen, Bar-Zeev, Naor, Jere, Khuzwayo C., Lopman, Benjamin A., Lewnard, Joseph A., Parashar, Umesh D., and Cunliffe, Nigel A.
- Abstract
Administering an additional dose of rotavirus vaccine at 9 months of age in Malawi is predicted to lead to only modest improvements in vaccine impact.
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- 2019
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20. Antimicrobial Resistance Risks of Cholera Prophylaxis for United Nations Peacekeepers
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Kunkel, Amber, Lewnard, Joseph A., Pitzer, Virginia E., and Cohen, Ted
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ABSTRACTMore than 5 years after a United Nations peacekeeping battalion introduced cholera to Haiti, over 150,000 peacekeepers continue to be deployed annually from countries where cholera is endemic. The United Nations has thus far declined to provide antimicrobial chemoprophylaxis to peacekeepers, a policy based largely on concerns that the risks of drug resistance generation and spread would outweigh the potential benefits of preventing future cholera importations. In this study, we sought to better understand the relative benefits and risks of cholera chemoprophylaxis for peacekeepers in terms of antibiotic resistance. Using a stochastic model to quantify the potential impact of chemoprophylaxis on importation and transmission of drug-resistant and drug-sensitive Vibrio cholerae, we found that chemoprophylaxis would decrease the probability of cholera importation but would increase the expected number of drug-resistant infections if an importation event were to occur. Despite this potential increase, we found that at least 10 drug-sensitive infections would likely be averted per excess drug-resistant infection under a wide range of assumptions about the underlying prevalence of drug resistance and risk of acquired resistance. Given these findings, policymakers should reconsider whether the potential resistance risks of providing antimicrobial chemoprophylaxis to peacekeepers are sufficient to outweigh the anticipated benefits.
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- 2017
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21. High turnover drives prolonged persistence of influenza in managed pig herds
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Pitzer, Virginia E., Aguas, Ricardo, Riley, Steven, Loeffen, Willie L. A., Wood, James L. N., and Grenfell, Bryan T.
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Pigs have long been hypothesized to play a central role in the emergence of novel human influenza A virus (IAV) strains, by serving as mixing vessels for mammalian and avian variants. However, the key issue of viral persistence in swine populations at different scales is ill understood. We address this gap using epidemiological models calibrated against seroprevalence data from Dutch finishing pigs to estimate the ‘critical herd size’ (CHS) for IAV persistence. We then examine the viral phylogenetic evidence for persistence by comparing human and swine IAV. Models suggest a CHS of approximately 3000 pigs above which influenza was likely to persist, i.e. orders of magnitude lower than persistence thresholds for IAV and other acute viruses in humans. At national and regional scales, we found much stronger empirical signatures of prolonged persistence of IAV in swine compared with human populations. These striking levels of persistence in small populations are driven by the high recruitment rate of susceptible piglets, and have significant implications for management of swine and for overall patterns of genetic diversity of IAV.
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- 2016
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22. Demographic buffering: titrating the effects of birth rate and imperfect immunity on epidemic dynamics
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Morris, Sinead E., Pitzer, Virginia E., Viboud, Cécile, Metcalf, C. Jessica E., Bjørnstad, Ottar N., and Grenfell, Bryan T.
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Host demography can alter the dynamics of infectious disease. In the case of perfectly immunizing infections, observations of strong sensitivity to demographic variation have been mechanistically explained through analysis of the susceptible–infected–recovered (SIR) model that assumes lifelong immunity following recovery from infection. When imperfect immunity is incorporated into this framework via the susceptible–infected–recovered–susceptible (SIRS) model, with individuals regaining full susceptibility following recovery, we show that rapid loss of immunity is predicted to buffer populations against the effects of demographic change. However, this buffering is contrary to the dependence on demography recently observed for partially immunizing infections such as rotavirus and respiratory syncytial virus. We show that this discrepancy arises from a key simplification embedded in the SIR(S) framework, namely that the potential for differential immune responses to repeat exposures is ignored. We explore the minimum additional immunological information that must be included to reflect the range of observed dependencies on demography. We show that including partial protection and lower transmission following primary infection is sufficient to capture more realistic reduced levels of buffering, in addition to changes in epidemic timing, across a range of partially and fully immunizing infections. Furthermore, our results identify key variables in this relationship, including R0.
- Published
- 2015
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