- COVID-19 epidemiological studies
- Mosquito-borne diseases and control
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Influenza Virus Research Studies
- Viral Infections and Vectors
- Evolution and Genetic Dynamics
- Viral Infections and Outbreaks Research
- Respiratory viral infections research
- Data-Driven Disease Surveillance
- Glass properties and applications
- Zoonotic diseases and public health
- Recycling and utilization of industrial and municipal waste in materials production
- Nuclear materials and radiation effects
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Insect and Pesticide Research
- Zeolite Catalysis and Synthesis
- Health, Environment, Cognitive Aging
- Machine Learning in Healthcare
- Virology and Viral Diseases
- Animal Disease Management and Epidemiology
- Human Mobility and Location-Based Analysis
- Luminescence Properties of Advanced Materials
- Dengue and Mosquito Control Research
- Graphite, nuclear technology, radiation studies
Indiana University Bloomington
2023-2024
Indiana University
2023-2024
Universidade de São Paulo
1985-2023
Universidade Federal de São Carlos
2023
Consejo Nacional de Investigaciones Científicas y Técnicas
2020
Instituto de Fisica de Liquidos y Sistemas Biologicos
2020
Accurate forecasts can enable more effective public health responses during seasonal influenza epidemics. For the 2021-22 and 2022-23 seasons, 26 forecasting teams provided national jurisdiction-specific probabilistic predictions of weekly confirmed hospital admissions for one-to-four weeks ahead. Forecast skill is evaluated using Weighted Interval Score (WIS), relative WIS, coverage. Six out 23 models outperform baseline model across forecast locations in 12 18 2022-23. Averaging all...
ABSTRACT Background Human contact patterns are a key determinant driving the spread of respiratory infectious diseases. However, relationship between and seasonality as well their possible association with diseases is yet to be clarified. Methods We investigated temperature human using data collected through cross‐sectional diary‐based survey in Shanghai, China, December 24, 2017, May 30, 2018. then developed compartmental model influenza transmission informed by derived seasonal trends...
Nowadays, one of the challenges we face when carrying out modeling epidemic spreading is to develop methods control disease transmission. In this article study how knowledge a affects propagation that in population interacting individuals. For that, analyze interaction between two different processes on multiplex networks: an using susceptible-infected-susceptible dynamics and dissemination information about disease---and its prevention methods---using unaware-aware-unaware dynamics, so...
To contain the propagation of emerging diseases that are transmissible from human to human, non-pharmaceutical interventions (NPIs) aimed at reducing interactions between humans usually implemented. One example latter kind measures is social distancing, which can be either policy-driven or arise endogenously in population as a consequence fear infection. However, if NPIs lifted before reaches herd immunity, further re-introductions pathogen would lead secondary infections. Here we study...
Abstract Considerable uncertainty surrounds the seasonality of respiratory infectious diseases. To which extent observed is associated with biological reasons (e.g., virus survival rates, host immune dynamics) or human behavior remains unclear. Here, we investigate association between temperature and contact patterns using data collected through a diary-based survey December 24, 2017, May 30, 2018, in Shanghai, China. We identified significant inverse relationship number contacts both...
Abstract The southern US has a large presence of mosquito vector species for dengue virus (DENV) and experiences thousands DENV importations every year, which have led to several local outbreaks. Adulticide spraying targeting active mosquitoes is one the most common insecticide strategies used as response an outbreak. aim this study evaluate effectiveness adulticide conducted at different times day curb transmission. Based on unique dataset Aedes aegypti diel activity patterns in Miami-Dade...
Accurate forecasts can enable more effective public health responses during seasonal influenza epidemics. Forecasting teams were asked to provide national and jurisdiction-specific probabilistic predictions of weekly confirmed hospital admissions for one through four weeks ahead the 2021-22 2022-23 seasons. Across both seasons, 26 submitted forecasts, with submitting varying between Forecast skill was evaluated using Weighted Interval Score (WIS), relative WIS, coverage. Six out 23 models...
Abstract Los Angeles County, California, is one of the areas most affected by arboviruses in continental United States, reporting second highest number West Nile human cases nation and numbers imported dengue cases. Culex quinquefasciatus Aedes aegypti are primary vectors viruses, respectively. Both species present abundant creating fertile grounds for arbovirus outbreaks. In this study, we aim to provide a comprehensive assessment environmental socio-economic features associated with...
Diseases and other contagion phenomena in nature society can interact asymmetrically, such that one benefit from the other, which turn impairs first, analogy with predator-prey systems. Here, we consider two models for interacting diseaselike dynamics asymmetric interactions different associated time scales. Using rate equations homogeneously mixed populations, show stationary prevalences phase diagrams of each model behave differently respect to variations relative We also characterize...
Abstract The southern US is vulnerable to importations of dengue. Understanding the effectiveness mosquito control interventions be employed in response a dengue outbreak, such as adulticide spraying, are critical for mitigating risks posed by virus (DENV). By leveraging unique dataset diel activity patterns Ae. aegypti Miami-Dade County, FL, and Brownsville, TX, we used mechanistic model simulate local DENV outbreak assess spraying at varying times day. We then performed comparative...
Abstract The southern US has a large presence of mosquito vector species for dengue virus (DENV) and experiences thousands DENV importations every year, which have led to several local outbreaks. Adulticide spraying targeting active mosquitoes is one the most common insecticide strategies used as response an outbreak. aim this study evaluate effectiveness adulticide conducted at different times day curb transmission. Based on unique dataset Aedes aegypti diel activity patterns in Miami-Dade...
Abstract Background Mosquito-borne pathogens are transmitted through bites of female mosquito vectors that actively seeking hosts for a blood meal and hosts, when either them is infectious. Different species have different preferences the time day/night they seek meals. In United States, encounters between human primarily take place outdoors. Socioeconomic factors such as occupation income major determinants hour day total amount spent outdoors by population groups. The aim this study to...
Aedes-borne diseases represent a major public health threat and mosquito control operations key line of defense. Improving the real-time awareness authorities by providing reliable forecasts relative abundance vectors could greatly enhance efforts. To this aim, we developed an analytical tool that Aedes aegypti 1 to 4 weeks ahead. Forecasts were validated against surveillance data (2,760 points) collected over multiple years in four jurisdictions US. The symmetric absolute percentage error...
In the early stage of an infectious disease outbreak, public health strategies tend to gravitate towards non-pharmaceutical interventions (NPIs) given time required develop targeted treatments and vaccines. One most common NPIs is Test-Trace-Isolate (TTI). factors determining effectiveness TTI ability identify contacts infected individuals. this study, we propose a multi-layer temporal contact network model transmission dynamics assess impact different implementations, using SARS-CoV-2 as...
Abstract Aedes -borne diseases represent a major public health threat and mosquito control operations key line of defense. Improving the real-time awareness authorities by providing reliable forecasts relative abundance vectors could greatly enhance efforts. To this aim, we developed an analytical tool that aegypti 1 to 4 weeks ahead. Forecasts were validated against surveillance data (2,760 points) collected over multiple years in four jurisdictions US. Our consistently accurate precise for...
To contain the propagation of emerging diseases that are transmissible from human to human, non-pharmaceutical interventions (NPIs) aimed at reducing interactions between humans usually implemented. One example latter kind measures is social distancing, which can be either policy-driven or arise endogenously in population as a consequence fear infection. However, if NPIs lifted before reaches herd immunity, further re-introductions pathogen would lead secondary infections. Here we study...
Mathematical models represent one of the fundamental ways studying nature. In special, epidemic have shown to be particularly useful in understanding course diseases and planning effective control policies. A particular type model considers individuals divided into populations. When studied graphs, it is already known that graph topology can play an important role evolution disease. At same time, may want study effect presence underlying \emph{attraction landscape} vertices, apart from...