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1. Proteomic studies of VEGFR2 in human placentas reveal protein associations with preeclampsia, diabetes, gravidity, and labor

Author

Ho, Shannon J., Chaput, Dale, Sinkey, Rachel G., Garces, Amanda H., New, Erika P., Okuka, Maja, Sang, Peng, Arlier, Sefa, Semerci, Nihan, Steffensen, Thora S., Rutherford, Thomas J., Alsina, Angel E., Cai, Jianfeng, Anderson, Matthew L., Magness, Ronald R., Uversky, Vladimir N., Cummings, Derek A. T., and Tsibris, John C. M.

Published
2024
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7. Immunogenicity and safety of fractional doses of 17D-213 yellow fever vaccine in children (YEFE): a randomised, double-blind, non-inferiority substudy of a phase 4 trial

Author

Juan-Giner, Aitana, Namulwana, Maria L, Kimathi, Derick, Grantz, Kyra H, Fall, Gamou, Dia, Moussa, Bob, Ndeye S, Sall, Amadou Alpha, Nerima, Caroline, Sahani, Mateus Kambale, Mulogo, Edgar M, Ampeire, Immaculate, Hombach, Joachim, Nanjebe, Deborah, Mwanga-Amumpaire, Juliet, Cummings, Derek A T, Bejon, Philip, Warimwe, George M, and Grais, Rebecca F

Published
2023
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8. Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?

Author

Vasconcelos, Andreia, primary, King, Jonathan D, additional, Nunes-Alves, Cláudio, additional, Anderson, Roy, additional, Argaw, Daniel, additional, Basáñez, Maria-Gloria, additional, Bilal, Shakir, additional, Blok, David J, additional, Blumberg, Seth, additional, Borlase, Anna, additional, Brady, Oliver J, additional, Browning, Raiha, additional, Chitnis, Nakul, additional, Coffeng, Luc E, additional, Crowley, Emily H, additional, Cucunubá, Zulma M, additional, Cummings, Derek A T, additional, Davis, Christopher Neil, additional, Davis, Emma Louise, additional, Dixon, Matthew, additional, Dobson, Andrew, additional, Dyson, Louise, additional, French, Michael, additional, Fronterre, Claudio, additional, Giorgi, Emanuele, additional, Huang, Ching-I, additional, Jain, Saurabh, additional, James, Ananthu, additional, Kim, Sung Hye, additional, Kura, Klodeta, additional, Lucianez, Ana, additional, Marks, Michael, additional, Mbabazi, Pamela Sabina, additional, Medley, Graham F, additional, Michael, Edwin, additional, Montresor, Antonio, additional, Mutono, Nyamai, additional, Mwangi, Thumbi S, additional, Rock, Kat S, additional, Saboyá-Díaz, Martha-Idalí, additional, Sasanami, Misaki, additional, Schwehm, Markus, additional, Spencer, Simon E F, additional, Srivathsan, Ariktha, additional, Stawski, Robert S, additional, Stolk, Wilma A, additional, Sutherland, Samuel A, additional, Tchuenté, Louis-Albert Tchuem, additional, de Vlas, Sake J, additional, Walker, Martin, additional, Brooker, Simon J, additional, Hollingsworth, T Déirdre, additional, Solomon, Anthony W, additional, and Fall, Ibrahima Socé, additional

Published
2024
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9. Effectiveness of CoronaVac, ChAdOx1 nCoV-19, BNT162b2, and Ad26.COV2.S among individuals with previous SARS-CoV-2 infection in Brazil: a test-negative, case-control study

Author

Cerqueira-Silva, Thiago, Andrews, Jason R, Boaventura, Viviane S, Ranzani, Otavio T, de Araújo Oliveira, Vinicius, Paixão, Enny S, Júnior, Juracy Bertoldo, Machado, Tales Mota, Hitchings, Matt D T, Dorion, Murilo, Lind, Margaret L, Penna, Gerson O, Cummings, Derek A T, Dean, Natalie E, Werneck, Guilherme Loureiro, Pearce, Neil, Barreto, Mauricio L, Ko, Albert I, Croda, Julio, and Barral-Netto, Manoel

Published
2022
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10. Effectiveness of an inactivated Covid-19 vaccine with homologous and heterologous boosters against Omicron in Brazil

Author

Ranzani, Otavio T., Hitchings, Matt D. T., de Melo, Rosana Leite, de França, Giovanny V. A., Fernandes, Cássia de Fátima R., Lind, Margaret L., Torres, Mario Sergio Scaramuzzini, Tsuha, Daniel Henrique, David, Leticia C. S., Said, Rodrigo F. C., Almiron, Maria, de Oliveira, Roberto D., Cummings, Derek A. T., Dean, Natalie E., Andrews, Jason R., Ko, Albert I., and Croda, Julio

Published
2022
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11. EVITA Dengue: a cluster-randomized controlled trial to EValuate the efficacy of Wolbachia-InfecTed Aedes aegypti mosquitoes in reducing the incidence of Arboviral infection in Brazil

Author

Collins, Matthew H., Potter, Gail E., Hitchings, Matt D. T., Butler, Ellie, Wiles, Michelle, Kennedy, Jessie K., Pinto, Sofia B., Teixeira, Adla B. M., Casanovas-Massana, Arnau, Rouphael, Nadine G., Deye, Gregory A., Simmons, Cameron P., Moreira, Luciano A., Nogueira, Mauricio L., Cummings, Derek A. T., Ko, Albert I., Teixeira, Mauro M., and Edupuganti, Srilatha

Published
2022
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13. Integration of population-level data sources into an individual-level clinical prediction model for dengue virus test positivity

Author

Williams, Robert J., primary, Brintz, Ben J., additional, Ribeiro Dos Santos, Gabriel, additional, Huang, Angkana T., additional, Buddhari, Darunee, additional, Kaewhiran, Surachai, additional, Iamsirithaworn, Sopon, additional, Rothman, Alan L., additional, Thomas, Stephen, additional, Farmer, Aaron, additional, Fernandez, Stefan, additional, Cummings, Derek A. T., additional, Anderson, Kathryn B., additional, Salje, Henrik, additional, and Leung, Daniel T., additional

Published
2024
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14. Overestimation of Severe Acute Respiratory Syndrome Coronavirus 2 Household Transmission in Settings of High Community Transmission: Insights From an Informal Settlement Community in Salvador, Brazil

Author

Aguilar Ticona, Juan P, primary, Nery, Nivison, additional, Hitchings, Matt, additional, Belitardo, Emilia M M Andrade, additional, Fofana, Mariam O, additional, Dorión, Murilo, additional, Victoriano, Renato, additional, Cruz, Jaqueline S, additional, Oliveira Santana, Juliet, additional, de Moraes, Laise Eduarda Paixão, additional, Cardoso, Cristiane W, additional, Ribeiro, Guilherme S, additional, Reis, Mitermayer G, additional, Khouri, Ricardo, additional, Costa, Federico, additional, Ko, Albert I, additional, and Cummings, Derek A T, additional

Published
2024
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16. An open challenge to advance probabilistic forecasting for dengue epidemics

Author

Johansson, Michael A., Apfeldorf, Karyn M., Dobson, Scott, Devita, Jason, Buczak, Anna L., Baugher, Benjamin, Moniz, Linda J., Bagley, Thomas, Babin, Steven M., Guven, Erhan, Yamana, Teresa K., Shaman, Jeffrey, Moschou, Terry, Lothian, Nick, Lane, Aaron, Osborne, Grant, Jiang, Gao, Brooks, Logan C., Farrow, David C., Hyun, Sangwon, Tibshirani, Ryan J., Rosenfeld, Roni, Lessler, Justin, Reich, Nicholas G., Cummings, Derek A. T., Lauer, Stephen A., Moore, Sean M., Clapham, Hannah E., Lowe, Rachel, Bailey, Trevor C., García-Díez, Markel, Carvalho, Marilia Sá, Rodó, Xavier, Sardar, Tridip, Paul, Richard, Ray, Evan L., Sakrejda, Krzysztof, Brown, Alexandria C., Meng, Xi, Osoba, Osonde, Vardavas, Raffaele, Manheim, David, Moore, Melinda, Rao, Dhananjai M., Porco, Travis C., Ackley, Sarah, Liu, Fengchen, Worden, Lee, Convertino, Matteo, Liu, Yang, Reddy, Abraham, Ortiz, Eloy, Rivero, Jorge, Brito, Humberto, Juarrero, Alicia, Johnson, Leah R., Gramacy, Robert B., Cohen, Jeremy M., Mordecai, Erin A., Murdock, Courtney C., Rohr, Jason R., Ryan, Sadie J., Stewart-Ibarra, Anna M., Weikel, Daniel P., Jutla, Antarpreet, Khan, Rakibul, Poultney, Marissa, Colwell, Rita R., Rivera-García, Brenda, Barker, Christopher M., Bell, Jesse E., Biggerstaff, Matthew, Swerdlow, David, Mier-y-Teran-Romero, Luis, Forshey, Brett M., Trtanj, Juli, Asher, Jason, Clay, Matt, Margolis, Harold S., Hebbeler, Andrew M., George, Dylan, and Chretien, Jean-Paul

Published
2019

17. Infrastructure and methods for real-time predictions of the 2014 dengue fever season in Thailand

Author

Reich, Nicholas G., Lauer, Stephen A., Sakrejda, Krzysztof, Iamsirithaworn, Sopon, Hinjoy, Soawapak, Suangtho, Paphanij, Suthachana, Suthanun, Clapham, Hannah E., Salje, Henrik, Cummings, Derek A. T., and Lessler, Justin

Subjects
Statistics - Applications
Abstract

Epidemics of communicable diseases place a huge burden on public health infrastructures across the world. Producing accurate and actionable forecasts of infectious disease incidence at short and long time scales will improve public health response to outbreaks. However, scientists and public health officials face many obstacles in trying to create accurate and actionable real-time forecasts of infectious disease incidence. Dengue is a mosquito-borne virus that annually infects over 400 million people worldwide. We developed a real-time forecasting model for dengue hemorrhagic fever in the 77 provinces of Thailand. We created an operational and computational infrastructure that generated multi-step predictions of dengue incidence in Thai provinces every two weeks throughout 2014. These predictions show mixed performance across provinces, out-performing na\"ive seasonal models in over half of provinces at a 1.5 month horizon. Additionally, to assess the degree to which delays in case reporting make long-range prediction a challenging task, we compared the performance of our real-time predictions with predictions made with fully reported data. This paper provides valuable lessons for the implementation of real-time predictions in the context of public health decision making.

Published
2015

20. Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case-control analysis

Author

Lind, Margaret L., Robertson, Alexander J., Silva, Julio, Warner, Frederick, Coppi, Andreas C., Price, Nathan, Duckwall, Chelsea, Sosensky, Peri, Di Giuseppe, Erendira C., Borg, Ryan, Fofana, Mariam O., Ranzani, Otavio T., Dean, Natalie E., Andrews, Jason R., Croda, Julio, Iwasaki, Akiko, Cummings, Derek A. T., Ko, Albert I., Hitchings, Matt D. T., and Schulz, Wade L.

Subjects
Company distribution practices, Biological sciences
Abstract

Background The benefit of primary and booster vaccination in people who experienced a prior Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection remains unclear. The objective of this study was to estimate the effectiveness of primary (two-dose series) and booster (third dose) mRNA vaccination against Omicron (lineage BA.1) infection among people with a prior documented infection. Methods and findings We conducted a test-negative case-control study of reverse transcription PCRs (RT-PCRs) analyzed with the TaqPath (Thermo Fisher Scientific) assay and recorded in the Yale New Haven Health system from November 1, 2021, to April 30, 2022. Overall, 11,307 cases (positive TaqPath analyzed RT-PCRs with S-gene target failure [SGTF]) and 130,041 controls (negative TaqPath analyzed RT-PCRs) were included (median age: cases: 35 years, controls: 39 years). Among cases and controls, 5.9% and 8.1% had a documented prior infection (positive SARS-CoV-2 test record [greater than or equal to]90 days prior to the included test), respectively. We estimated the effectiveness of primary and booster vaccination relative to SGTF-defined Omicron (lineage BA.1) variant infection using a logistic regression adjusted for date of test, age, sex, race/ethnicity, insurance, comorbidities, social venerability index, municipality, and healthcare utilization. The effectiveness of primary vaccination 14 to 149 days after the second dose was 41.0% (95% confidence interval (CI): 14.1% to 59.4%, p 0.006) and 27.1% (95% CI: 18.7% to 34.6%, p < 0.001) for people with and without a documented prior infection, respectively. The effectiveness of booster vaccination ([greater than or equal to]14 days after booster dose) was 47.1% (95% CI: 22.4% to 63.9%, p 0.001) and 54.1% (95% CI: 49.2% to 58.4%, p < 0.001) in people with and without a documented prior infection, respectively. To test whether booster vaccination reduced the risk of infection beyond that of the primary series, we compared the odds of infection among boosted ([greater than or equal to]14 days after booster dose) and booster-eligible people ([greater than or equal to]150 days after second dose). The odds ratio (OR) comparing boosted and booster-eligible people with a documented prior infection was 0.79 (95% CI: 0.54 to 1.16, p 0.222), whereas the OR comparing boosted and booster-eligible people without a documented prior infection was 0.54 (95% CI: 0.49 to 0.59, p < 0.001). This study's limitations include the risk of residual confounding, the use of data from a single system, and the reliance on TaqPath analyzed RT-PCR results. Conclusions In this study, we observed that primary vaccination provided significant but limited protection against Omicron (lineage BA.1) infection among people with and without a documented prior infection. While booster vaccination was associated with additional protection against Omicron BA.1 infection in people without a documented prior infection, it was not found to be associated with additional protection among people with a documented prior infection. These findings support primary vaccination in people regardless of documented prior infection status but suggest that infection history may impact the relative benefit of booster doses., Author(s): Margaret L. Lind 1,*, Alexander J. Robertson 1, Julio Silva 2, Frederick Warner 3,4, Andreas C. Coppi 3,4, Nathan Price 3,4, Chelsea Duckwall 1, Peri Sosensky 1, Erendira C. [...]

Published
2022
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22. Antigenic distance between primary and secondary dengue infections correlates with disease risk.

Author

Wang, Lin, Huang, Angkana T., Katzelnick, Leah C., Lefrancq, Noémie, Escoto, Ana Coello, Duret, Loréna, Chowdhury, Nayeem, Jarman, Richard, Conte, Matthew A., Berry, Irina Maljkovic, Fernandez, Stefan, Klungthong, Chonticha, Thaisomboonsuk, Butsaya, Suntarattiwong, Piyarat, Vandepitte, Warunee, Whitehead, Stephen S., Cauchemez, Simon, Cummings, Derek A. T., and Salje, Henrik

Abstract

Many pathogens continuously change their protein structure in response to immune-driven selection, resulting in weakened protection even in previously exposed individuals. In addition, for some pathogens, such as dengue virus, poorly targeted immunity is associated with increased risk of severe disease through a mechanism known as antibody-dependent enhancement. However, it remains unclear whether the antigenic distances between an individual's first infection and subsequent exposures dictate disease risk, explaining the observed large-scale differences in dengue hospitalizations across years. Here, we develop a framework that combines detailed antigenic and genetic characterization of viruses with details on hospitalized cases from 21 years of dengue surveillance in Bangkok, Thailand, to identify the role of the antigenic profile of circulating viruses in determining disease risk. We found that the risk of hospitalization depended on both the specific order of infecting serotypes and the antigenic distance between an individual's primary and secondary infections, with risk maximized at intermediate antigenic distances. These findings suggest that immune imprinting helps determine dengue disease risk and provide a pathway to monitor the changing risk profile of populations and to quantifying risk profiles of candidate vaccines. Editor's summary: It is established that a secondary dengue virus (DENV) infection can cause severe disease through antibody-dependent enhancement, but much of this work has considered DENV serotypes as a single entity. To provide a more granular look at how between- and within-serotype variability can influence risk of severe dengue, Wang et al. developed a framework combining antigenic and genetic characterization of DENV isolates with dengue case data. The authors found that disease severity correlated with the order of infecting serotypes as well as the antigenic distance between the infecting viruses. Intermediate antigenic distances seemed to result in more severe disease. This framework, coupled with real-world data, could both help predict future outbreaks of severe disease and inform vaccine design. —Courtney Malo [ABSTRACT FROM AUTHOR]

Published
2024
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24. Lying in wait: the resurgence of dengue virus after the Zika epidemic in Brazil

Author

Brito, Anderson Fernandes, Machado, Lais Ceschini, Oidtman, Rachel J., Siconelli, Márcio Junio Lima, Tran, Quan Minh, Fauver, Joseph R., Carvalho, Rodrigo Dias de Oliveira, Dezordi, Filipe Zimmer, Pereira, Mylena Ribeiro, de Castro-Jorge, Luiza Antunes, Minto, Elaine Cristina Manini, Passos, Luzia Márcia Romanholi, Kalinich, Chaney C., Petrone, Mary E., Allen, Emma, España, Guido Camargo, Huang, Angkana T., Cummings, Derek A. T., Baele, Guy, Franca, Rafael Freitas Oliveira, da Fonseca, Benedito Antônio Lopes, Perkins, T. Alex, Wallau, Gabriel Luz, and Grubaugh, Nathan D.

Published
2021
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25. Reconstructing unseen transmission events to infer dengue dynamics from viral sequences

Author

Salje, Henrik, Wesolowski, Amy, Brown, Tyler S., Kiang, Mathew V., Berry, Irina Maljkovic, Lefrancq, Noemie, Fernandez, Stefan, Jarman, Richard G., Ruchusatsawat, Kriangsak, Iamsirithaworn, Sopon, Vandepitte, Warunee P., Suntarattiwong, Piyarat, Read, Jonathan M., Klungthong, Chonticha, Thaisomboonsuk, Butsaya, Engø-Monsen, Kenth, Buckee, Caroline, Cauchemez, Simon, and Cummings, Derek A. T.

Published
2021
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28. Structural factors associated with SARS-CoV-2 infection risk in an urban slum setting in Salvador, Brazil: A cross-sectional survey

Author

Fofana, Mariam O., Nery, Nivison, Aguilar Ticona, Juan P., de Andrade Belitardo, Emilia M. M., Victoriano, Renato, Anjos, Rôsangela O., Portilho, Moyra M., de Santana, Mayara C., dos Santos, Laiara L., de Oliveira, Daiana, Cruz, Jaqueline S., Muenker, M. Catherine, Khouri, Ricardo, Wunder, Elsio A., Hitchings, Matt D. T., Johnson, Olatunji, Reis, Mitermayer G., Ribeiro, Guilherme S., Cummings, Derek A. T., Costa, Federico, and Ko, Albert I.

Subjects
Epidemics -- Social aspects -- Brazil, Slums -- Health aspects, Disease transmission -- Risk factors -- Environmental aspects -- Social aspects, Urban poor -- Health aspects, Biological sciences
Abstract

Background The structural environment of urban slums, including physical, demographic, and socioeconomic attributes, renders inhabitants more vulnerable to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Yet, little is known about the specific determinants that contribute to high transmission within these communities. We therefore aimed to investigate SARS-CoV-2 seroprevalence in an urban slum in Brazil. Methods and findings We performed a cross-sectional serosurvey of an established cohort of 2,041 urban slum residents from the city of Salvador, Brazil between November 2020 and February 2021, following the first Coronavirus Disease 2019 (COVID-19) pandemic wave in the country and during the onset of the second wave. The median age in this population was 29 years (interquartile range [IQR] 16 to 44); most participants reported their ethnicity as Black (51.5%) or Brown (41.7%), and 58.5% were female. The median size of participating households was 3 (IQR 2 to 4), with a median daily per capita income of 2.32 (IQR 0.33-5.15) US Dollars. The main outcome measure was presence of IgG against the SARS-CoV-2 spike protein. We implemented multilevel models with random intercepts for each household to estimate seroprevalence and associated risk factors, adjusting for the sensitivity and specificity of the assay, and the age and gender distribution of our study population. We identified high seroprevalence (47.9%, 95% confidence interval [CI] 44.2% to 52.1%), particularly among female residents (50.3% [95% CI 46.3% to 54.8%] versus 44.6% [95% CI 40.1% to 49.4%] among male residents, p < 0.01) and among children (54.4% [95% CI 49.6% to 59.3%] versus 45.4% [95% CI 41.5% to 49.7%] among adults, p < 0.01). Adults residing in households with children were more likely to be seropositive (48.6% [95% CI 44.8% to 52.3%] versus 40.7% [95% CI 37.2% to 44.3%], p < 0.01). Women who were unemployed and living below the poverty threshold (daily per capita household income Conclusions Prior to the peak of the second wave of the COVID-19 pandemic, cumulative incidence as assessed by serology approached 50% in a Brazilian urban slum population. In contrast to observations from industrialized countries, SARS-CoV-2 incidence was highest among children, as well as women living in extreme poverty. These findings emphasize the need for targeted interventions that provide safe environments for children and mitigate the structural risks posed by crowding and poverty for the most vulnerable residents of urban slum communities., Author(s): Mariam O. Fofana 1,*, Nivison Nery 2,3, Juan P. Aguilar Ticona 1,2,3, Emilia M. M. de Andrade Belitardo 3, Renato Victoriano 3, Rôsangela O. Anjos 3, Moyra M. Portilho [...]

Published
2022
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30. Disease Persistence in Epidemiological Models: The Interplay between Vaccination and Migration

Author

Burton, Jackson, Billings, Lora, Cummings, Derek A. T., and Schwartz, Ira B.

Subjects
Physics - Biological Physics, Quantitative Biology - Populations and Evolution
Abstract

We consider the interplay of vaccination and migration rates on disease persistence in epidemiological systems. We show that short-term and long-term migration can inhibit disease persistence. As a result, we show how migration changes how vaccination rates should be chosen to maintain herd immunity. In a system of coupled SIR models, we analyze how disease eradication depends explicitly on vaccine distribution and migration connectivity. The analysis suggests potentially novel vaccination policies that underscore the importance of optimal placement of finite resources.

Published
2012

31. Overestimation of Severe Acute Respiratory Syndrome Coronavirus 2 Household Transmission in Settings of High Community Transmission: Insights From an Informal Settlement Community in Salvador, Brazil.

Author

Ticona, Juan P Aguilar, Nery, Nivison, Hitchings, Matt, Belitardo, Emilia M M Andrade, Fofana, Mariam O, Dorión, Murilo, Victoriano, Renato, Cruz, Jaqueline S, Santana, Juliet Oliveira, Moraes, Laise Eduarda Paixão de, Cardoso, Cristiane W, Ribeiro, Guilherme S, Reis, Mitermayer G, Khouri, Ricardo, Costa, Federico, Ko, Albert I, and Cummings, Derek A T

Abstract

Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has spread globally. However, the contribution of community versus household transmission to the overall risk of infection remains unclear. Methods Between November 2021 and March 2022, we conducted an active case-finding study in an urban informal settlement with biweekly visits across 1174 households with 3364 residents. Individuals displaying coronavirus disease 2019 (COVID-19)–related symptoms were identified, interviewed along with household contacts, and defined as index and secondary cases based on reverse-transcription polymerase chain reaction (RT-PCR) and symptom onset. Results In 61 households, we detected a total of 94 RT-PCR–positive cases. Of 69 sequenced samples, 67 cases (97.1%) were attributed to the Omicron BA.1* variant. Among 35 of their households, the secondary attack rate was 50.0% (95% confidence interval [CI], 37.0%–63.0%). Women (relative risk [RR], 1.6 [95% CI,.9–2.7]), older individuals (median difference, 15 [95% CI, 2–21] years), and those reporting symptoms (RR, 1.73 [95% CI, 1.0–3.0]) had a significantly increased risk for SARS-CoV-2 secondary infection. Genomic analysis revealed substantial acquisition of viruses from the community even among households with other SARS-CoV-2 infections. After excluding community acquisition, we estimated a household secondary attack rate of 24.2% (95% CI, 11.9%–40.9%). Conclusions These findings underscore the ongoing risk of community acquisition of SARS-CoV-2 among households with current infections. The observed high attack rate necessitates swift booster vaccination, rapid testing availability, and therapeutic options to mitigate the severe outcomes of COVID-19. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Maternally derived antibody titer dynamics and risk of hospitalized infant dengue disease

Author

O’Driscoll, Megan, primary, Buddhari, Darunee, additional, Huang, Angkana T., additional, Waickman, Adam, additional, Kaewhirun, Surachai, additional, Iamsirithaworn, Sopon, additional, Khampaen, Direk, additional, Farmer, Aaron, additional, Fernandez, Stefan, additional, Rodriguez-Barraquer, Isabel, additional, Srikiatkhachorn, Anon, additional, Thomas, Stephen, additional, Endy, Timothy, additional, Rothman, Alan L., additional, Anderson, Kathryn, additional, Cummings, Derek A. T., additional, and Salje, Henrik, additional

Published
2023
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34. Proteomic studies of human placentas reveal partnerships associated with preeclampsia, diabetes, gravidity, and labor

Author

Ho, Shannon J., primary, Chaput, Dale, additional, Sinkey, Rachel G., additional, Garces, Amanda H., additional, New, Erika P., additional, Okuka, Maja, additional, Sang, Peng, additional, Arlier, Sefa, additional, Semerci, Nihan, additional, Steffensen, Thora S., additional, Rutherford, Thomas J., additional, Alsina, Angel E., additional, Cai, Jianfeng, additional, Anderson, Matthew L., additional, Magness, Ronald R., additional, Uversky, Vladimir N., additional, Cummings, Derek A. T., additional, and Tsibris, John C. M., additional

Published
2023
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37. Chaotic desynchronization of multi-strain diseases

Author

Schwartz, Ira B., Shaw, Leah B., Cummings, Derek A. T., Billings, Lora, McCrary, Marie, and Burke, Donald S.

Subjects
Physics - Biological Physics
Abstract

Multi-strain diseases are diseases that consist of several strains, or serotypes. The serotypes may interact by antibody-dependent enhancement (ADE), in which infection with a single serotype is asymptomatic, but infection with a second serotype leads to serious illness accompanied by greater infectivity. It has been observed from serotype data of dengue hemorrhagic fever that outbreaks of the four serotypes occur asynchronously. Both autonomous and seasonally driven outbreaks were studied in a model containing ADE. For sufficiently small ADE, the number of infectives of each serotype synchronizes, with outbreaks occurring in phase. When the ADE increases past a threshold, the system becomes chaotic, and infectives of each serotype desynchronize. However, certain groupings of the primary and second ary infectives remain synchronized even in the chaotic regime., Comment: 6 pages with 7 figures accepted to Physical Review E

Published
2005
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39. Dengue diversity across spatial and temporal scales : Local structure and the effect of host population size

Author

Salje, Henrik, Lessler, Justin, Berry, Irina Maljkovic, Melendrez, Melanie C., Endy, Timothy, Kalayanarooj, Siripen, A-Nuegoonpipat, Atchareeya, Chanama, Sumalee, Sangkijporn, Somchai, Klungthong, Chonticha, Thaisomboonsuk, Butsaya, Nisalak, Ananda, Gibbons, Robert V., Iamsirithaworn, Sopon, Macareo, Louis R., Yoon, In-Kyu, Sangarsang, Areerat, Jarman, Richard G., and Cummings, Derek A. T.

Published
2017

40. A mixture model to estimate SARS-CoV-2 seroprevalence in Chennai, India

Author

Hitchings, Matt D T, primary, Patel, Eshan U, additional, Khan, Rifa, additional, Srikrishnan, Aylur K, additional, Anderson, Mark, additional, Kumar, K S, additional, Wesolowski, Amy P, additional, Iqbal, Syed H, additional, Rodgers, Mary A, additional, Mehta, Shruti H, additional, Cloherty, Gavin, additional, Cummings, Derek A T, additional, and Solomon, Sunil S, additional

Published
2023
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45. The infected and the affected: A longitudinal study of the impact of the COVID-19 pandemic on schoolchildren in Florida

Author

McKune, Sarah L., primary, Acosta, Daniel, additional, Fujii, Yui, additional, Joyce-Beaulieu, Diana, additional, Sayeed, Md Abu, additional, Cato, Emilee, additional, Flaherty, Katelyn E., additional, Creasy-Marrazzo, Ashton, additional, Pu, Ruiyu, additional, Kariyawasam, Subhashinie, additional, Arukha, Anantha, additional, Cummings, Derek A. T., additional, Long, Maureen T., additional, Maurelli, Anthony T., additional, and Nelson, Eric J., additional

Published
2023
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47. Preschool-Aged Household Contacts as a Risk Factor for Viral Respiratory Infections in Healthcare Personnel

Author

Most, Zachary M, primary, Nyquist, Ann-Christine, additional, Radonovich, Lewis J, additional, Rodriguez-Barradas, Maria C, additional, Price, Connie Savor, additional, Simberkoff, Michael S, additional, Bessesen, Mary T, additional, Cummings, Derek A T, additional, Rattigan, Susan M, additional, Warren-Gash, Charlotte, additional, Gaydos, Charlotte A, additional, Gibert, Cynthia L, additional, Gorse, Geoffrey J, additional, and Perl, Trish M, additional

Published
2023
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49. Assessing the global threat from Zika virus

Author

Lessler, Justin, Chaisson, Lelia H., Kucirka, Lauren M., Bi, Qifang, Grantz, Kyra, Salje, Henrik, Carcelen, Andrea C., Ott, Cassandra T., Sheffield, Jeanne S., Ferguson, Neil M., Cummings, Derek A. T., Metcalf, C. Jessica E., and Rodriguez-Barraquer, Isabel

Published
2016

50. Unraveling the drivers of MERS-CoV transmission

Author

Cauchemez, Simon, Nouvellet, Pierre, Cori, Anne, Jombart, Thibaut, Garske, Tini, Clapham, Hannah, Moore, Sean, Mills, Harriet Linden, Salje, Henrik, Collins, Caitlin, Rodriquez-Barraquer, Isabel, Riley, Steven, Truelove, Shaun, Algarni, Homoud, Alhakeem, Rafat, AlHarbi, Khalid, Turkistani, Abdulhafiz, Aguas, Ricardo J., Cummings, Derek A. T., Van Kerkhove, Maria D., Donnelly, Christl A., Lessler, Justin, Fraser, Christophe, Al-Barrak, Ali, and Ferguson, Neil M.

Published
2016

Catalog

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