Research Topics
| Gerardo ChowellSummaryAffiliation: Arizona State University Country: USA Publications
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Detail Information
Publications
The spatial and temporal patterns of falciparum and vivax malaria in Perú: 1994-2006Gerardo Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA
Malar J 8:142. 2009....
The 1918-19 influenza pandemic in Boyacá, ColombiaGerardo Chowell
Arizona State University, Tempe, AZ 85282, USA
Emerg Infect Dis 18:48-56. 2012..In agreement with reports from Mexico, our study found no death-sparing effect for elderly persons in Colombia. We found regional disparities in prior immunity and timing of introduction of the 1918 pandemic virus across populations...
Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009Hiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Honcho 4 1 8, Kawaguchi, Saitama, 332 0012, Japan
Theor Biol Med Model 7:1. 2010..The growth rate at the initial stage of the epidemic in Japan led to estimates for R in the range 2.0 to 2.6, capturing the intensity of the initial outbreak among school-age children in May 2009...
The 1918-1920 influenza pandemic in PeruG Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA
Vaccine 29:B21-6. 2011....
Spatial and temporal characteristics of the 2009 A/H1N1 influenza pandemic in PeruGerardo Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
PLoS ONE 6:e21287. 2011..There is little information about the spatial-temporal dynamics of pandemic influenza in South America. Here we provide a quantitative description of the age-specific morbidity pandemic patterns across administrative areas of Peru...
The influence of geographic and climate factors on the timing of dengue epidemics in Perú, 1994-2008Gerardo Chowell
Mathematical and Computational Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
BMC Infect Dis 11:164. 2011..Increasing our understanding of the heterogeneous transmission patterns of dengue at different spatial scales could have considerable public health value by guiding intervention strategies...
Characterizing the epidemiology of the 2009 influenza A/H1N1 pandemic in MexicoGerardo Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
PLoS Med 8:e1000436. 2011..In this study we analyzed the epidemiological patterns of the pandemic during April-December 2009 in Mexico and evaluated the impact of nonmedical interventions, school cycles, and demographic factors on influenza transmission...
Mortality patterns associated with the 1918 influenza pandemic in Mexico: evidence for a spring herald wave and lack of preexisting immunity in older populationsGerardo Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA
J Infect Dis 202:567-75. 2010..Here, we compiled extensive archival records to quantify the pandemic mortality patterns in 2 Mexican cities, Mexico City and Toluca...
The reproduction number of seasonal influenza epidemics in Brazil, 1996-2006Gerardo Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
Proc Biol Sci 277:1857-66. 2010..Additional epidemiological and genetic studies are warranted to further characterize the dynamics of influenza in the tropics and refine our understanding of the global circulation of influenza viruses...
Spatial and temporal dynamics of dengue fever in Peru: 1994-2006G Chowell
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
Epidemiol Infect 136:1667-77. 2008....
Adaptive vaccination strategies to mitigate pandemic influenza: Mexico as a case studyGerardo Chowell
Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
PLoS ONE 4:e8164. 2009..We explore vaccination strategies against pandemic influenza in Mexico using an age-structured transmission model calibrated against local epidemiological data from the Spring 2009 A(H1N1) pandemic...
The 1918-1919 influenza pandemic in England and Wales: spatial patterns in transmissibility and mortality impactGerardo Chowell
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA
Proc Biol Sci 275:501-9. 2008..Further studies of the geographical mortality patterns associated with the 1918-1919 influenza pandemic may be useful for pandemic planning...
Transmission dynamics and underreporting of Kala-azar in the Indian state of BiharAnuj Mubayi
Mathematical and Computational Modeling Sciences Center, Arizona State University, USA
J Theor Biol 262:177-85. 2010..In fact, seven (2003) and five (2005) of the most affected Kala-azar districts had been classified as low-risk when only reported incidence data were used...
Optimal control for pandemic influenza: the role of limited antiviral treatment and isolationSunmi Lee
Mathematical and Computational Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, PO Box 871904, Tempe, AZ 85287, USA
J Theor Biol 265:136-50. 2010..The role of isolation strategies is highlighted in this study particularly when access to antiviral resources is limited...
Modeling optimal age-specific vaccination strategies against pandemic influenzaSunmi Lee
Mathematical and Computational Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85282, USA
Bull Math Biol 74:958-80. 2012..Our results indicate that optimal age-specific vaccination rates are significantly associated with [Formula: see text], the amount of vaccines available and the timing of vaccination...
Adaptive human behavior in epidemiological modelsEli P Fenichel
School of Life Sciences and ecoSERVICES Group, Arizona State University, Tempe, AZ 85287 4501, USA
Proc Natl Acad Sci U S A 108:6306-11. 2011..Acknowledging adaptive behavior requires a shift in thinking about epidemiological processes and parameters...
PrefaceCarlos Castillo-Chavez
Mathematical, Computational, and Modeling Sciences Center, Physical Sciences A, P O Box, 871904, Tempe, AZ 85287 1904, United States
Math Biosci Eng 8:i-vi. 2011..The global reach of this novel strain became evident when a summer influenza incidence high was reached in Japan by May 16, 2009 [2, 4] just about a month after its identification in the New World...
