Article
Multidisciplinary Sciences
Dina Mistry, Maria Litvinova, Ana Pastore y Piontti, Matteo Chinazzi, Laura Fumanelli, Marcelo F. C. Gomes, Syed A. Haque, Quan-Hui Liu, Kunpeng Mu, Xinyue Xiong, M. Elizabeth Halloran, Ira M. Longini, Stefano Merler, Marco Ajelli, Alessandro Vespignani
Summary: Mathematical and computational modeling approaches are increasingly used in analyzing and predicting infectious disease epidemics. A data-driven approach has been proposed to generate effective population-level contact matrices, improving the realism in addressing complex public health questions.
NATURE COMMUNICATIONS
(2021)
Article
Immunology
Elena Gianchecchi, Virginia Cianchi, Alessandro Torelli, Emanuele Montomoli
Summary: Despite the availability of an effective vaccine, yellow fever virus remains a major threat in low resource countries in South America and Africa. Factors such as globalization, population growth, urbanization, inadequate public health infrastructure, and climate change contribute to the spread of the virus to mosquito-infested tropical and subtropical areas. In addition to surveillance, routine immunization, vaccination campaigns, and innovative mosquito control technologies are urgently needed to minimize the risk of new outbreaks and the global burden of yellow fever in the future.
Article
Biology
Rongping Zhang, Boli Xie, Yun Kang, Maoxing Liu
Summary: This article proposes a two-layer network model combining infectious disease transmission and human behavior dynamics based on game theory. The basic reproduction number of the infectious disease in our model is obtained using the next-generation matrix method, and the stability of the disease-free equilibrium is analyzed. Theoretical results show that the spread of infectious diseases can be controlled when a certain proportion of individuals voluntarily quarantine. Sensitivity analysis of the parameters through simulations reveals that increasing propaganda can directly accelerate quarantine, and reducing the relative cost of quarantine significantly prevents infectious diseases. Increasing the detection rate leads to an overestimation of the proportion of undiagnosed infected individuals while also promoting individuals to quarantine.
JOURNAL OF BIOLOGICAL SYSTEMS
(2023)
Article
Physics, Multidisciplinary
Yushu Chen, Ying Liu, Ming Tang, Ying-Cheng Lai
Summary: Human travel is a contributing factor to epidemic spreading. By studying the impact of non-Markovian travel on epidemic dynamics, the authors find that the epidemic threshold can be maximized by a proper travel level and exhibits a two-threshold phenomenon, which provides insight into understanding and controlling real epidemics.
COMMUNICATIONS PHYSICS
(2023)
Article
Multidisciplinary Sciences
Krishna N. Balasubramaniam, Nalina Aiempichitkijkarn, Stefano S. K. Kaburu, Pascal R. Marty, Brianne A. Beisner, Eliza Bliss-Moreau, Malgorzata E. Arlet, Edward Atwill, Brenda McCowan
Summary: This study investigates the influence of human-wildlife interactions on disease outbreaks using social network analysis and epidemiological modeling. The findings suggest that wildlife aggregations around anthropogenic factors make them more vulnerable to zooanthroponotic outbreaks than their social structure.
SCIENTIFIC REPORTS
(2022)
Article
Mathematics, Interdisciplinary Applications
C. Udriste, I Tevy, A. S. Rasheed
Summary: This paper studies the trends of the evolution of different infections using various mathematical models, aiming to provide guidelines for strategizing optimal sociopolitical countermeasures to mitigate infectious diseases.
Article
Engineering, Multidisciplinary
Yinxue Yi, Zufan Zhang, Laurence T. Yang, Chenquan Gan, Xianjun Deng, Lingzhi Yi
Summary: This paper investigates the dissemination of intelligent information in social networks, introducing a new uncertain psychological state and simulating the spread in various social network datasets. Results indicate that the spread of intelligent information is influenced by the propagation threshold and may either disappear or propagate.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Yung-Yu Tsai, Tzu-Ting Yang
Summary: During the COVID-19 pandemic, people voluntarily reduced their healthcare demand due to fears of contagion or COVID-related precautionary behaviors. The decline in healthcare utilization was greater and more persistent for Influenza-like illness compared to non-ILI, indicating the positive public health externality of prevention measures for COVID-19.
Article
Multidisciplinary Sciences
Caroline E. Wagner, Chadi M. Saad-Roy, Sinead E. Morris, Rachel E. Baker, Michael J. Mina, Jeremy Farrar, Edward C. Holmes, Oliver G. Pybus, Andrea L. Graham, Ezekiel J. Emanuel, Simon A. Levin, C. Jessica E. Metcalf, Bryan T. Grenfell
Summary: Unequal vaccine distribution may lead to an increase in cases and the emergence of new variants, emphasizing the importance of rapid and equitable vaccine distribution for global pandemic control.
Article
Mechanics
Chiara Ceccato, August Brandberg, Artem Kulachenko, Christophe Barbier
Summary: This study investigates the compaction process of paperboard using micro-mechanical methods and finds that the normal fiber-to-fiber interactions have a dominant response, while the impact of frictional interactions between fibers is surprisingly low. The research provides insights into the structural changes during compaction and suggests potentially limited impact of surface modifications targeting friction.
Article
Physics, Fluids & Plasmas
Abbas K. Rizi, Ali Faqeeh, Arash Badie-Modiri, Mikko Kivela
Summary: Contact tracing via digital tracking applications is an important tool for controlling epidemic spreading. This study shows that the effectiveness of this tool is influenced by various parameters such as degree distributions, number of users, and quarantine failure probabilities. The results indicate that different parameter values can result in major differences in epidemic size and spread probabilities. Degree heterogeneity is particularly important for the epidemic threshold. Both homophily and heterophily with regard to application adoption can have detrimental effects. Overall, the dynamics of epidemics are highly sensitive to parameter values, making the estimation of the effect of digital contact tracing a multidimensional problem.
Article
Immunology
Maximo O. Brito, Caitlin M. Dugdale, Michelle Collins-Ogle, Jessica Snowden, David A. Wheeler
Summary: ID/HIV physicians and other healthcare professionals advocate within the healthcare system to ensure effective treatment for patients, inform policies to improve healthcare systems and public health, and provide valuable input to federal policymakers on programs and policies benefiting patients and public health. Key issues include funding for ID/HIV programs, protection of public health and access to healthcare, improving research opportunities, and supporting the next generation of ID/HIV clinicians.
CLINICAL INFECTIOUS DISEASES
(2021)
Review
Biochemistry & Molecular Biology
Maria Raza Tokatli, Leuconoe Grazia Sisti, Eleonora Marziali, Lorenza Nachira, Maria Francesca Rossi, Carlotta Amantea, Umberto Moscato, Walter Malorni
Summary: This article provides a broad review of the role of hormone regulation in gender medicine and gender differences across key clinical areas. The study highlights the influence of sex differences in immune response, cardiovascular diseases, neurological disorders, cancer, and COVID-19. It also emphasizes the importance of gender implications in occupational health and health policy, calling for more personalized clinical medicine and public health approaches.
Article
Engineering, Environmental
Andre Victor Ribeiro Amaral, Jonatan A. Gonzalez, Paula Moraga
Summary: Infectious disease modeling is crucial for understanding disease spreading and controlling it. This paper proposes a spatio-temporal modeling framework that integrates the SIR compartment and log-Gaussian Cox process (LGCP) models to characterize infectious disease dynamics. The method is validated using simulation with real and synthetic data in Sao Paulo, Brazil and applied to analyze COVID-19 dynamics in Cali, Colombia. The results demonstrate that the modified LGCP model, which incorporates information from the SIR model, outperforms equivalent models that do not consider this information. Furthermore, the proposed method allows for the incorporation of age-stratified contact information, providing valuable insights for decision-making.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Physics, Multidisciplinary
Sungchul Kwon, Jeong-Man Park
Summary: We study two meta-population models of infectious diseases in heterogeneous networks. By distinguishing between asymptomatic and symptomatic infections, we establish SIS-SIR and SIS-SIRS models to analyze the dynamics of the diseases. Our results show that both models undergo non-equilibrium continuous phase transitions and highlight the importance of controlling the proportion of asymptomatic infections to maintain the population in the disease-free phase. Additionally, social distancing and reducing asymptomatic infections are key factors to prevent epidemic outbreaks of infectious diseases.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2023)
Article
Oncology
Lusine Yaghjyan, Shannan Rich, Liang Mao, Volker Mai, Kathleen M. Egan
CANCER CAUSES & CONTROL
(2018)
Article
Public, Environmental & Occupational Health
Jue Yang, Liang Mao
Article
Environmental Sciences
Jeanne-Marie R. Stacciarini, Raffaele Vacca, Liang Mao
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2018)
Article
Environmental Sciences
Abolfazl Mollalo, Liang Mao, Parisa Rashidi, Gregory E. Glass
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Article
Environmental Sciences
Lusine Yaghjyan, Christopher R. Cogle, Guangran Deng, Jue Yang, Pauline Jackson, Nancy Hardt, Jaclyn Hall, Liang Mao
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Article
Public, Environmental & Occupational Health
Catherine A. Lippi, Liang Mao, Anna M. Stewart-Ibarra, Naveed Heydari, Efrain Beltran Ayala, Nathan D. Burkett-Cadena, Jason K. Blackburn, Sadie J. Ryan
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
(2020)
Article
Computer Science, Information Systems
Yan Yang, Sara Metcalf, Liang Mao
Summary: This article introduces a novel agent-based model that integrates social-spatial networks to study hurricane evacuation in the Florida Keys, USA. The simulation results show that adding public transportation capacity significantly reduces traffic load and evacuation time, providing a practical, accessible, and equitable route to safety for low mobility populations.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Engineering, Industrial
Faxi Yuan, Rui Liu, Liang Mao, Min Li
Summary: This research introduces an Internet of People-enabled framework to assess road network performance loss and resilience during disasters, utilizing semantic analysis of social media data to identify affected roads and road network analysis to evaluate performance loss. The findings demonstrate that the IoP framework can effectively support critical infrastructure protection for building smart and resilient city environments.
Article
Public, Environmental & Occupational Health
Yu Han, Liang Mao, Xuqi Chen, Wei Zhai, Zhong-Ren Peng, Pallab Mozumder
Summary: This study uses an agent-based modeling framework to simulate household-level flood risk mitigation, evaluating community resilience and predicting adaptation outcomes. Results show that community damage decreases significantly when agents become aware of flood risks.
Article
Environmental Sciences
Bailey Glover, Liang Mao, Yujie Hu, Jiawen Zhang
Summary: The Retail Food Environment Index (RFEI) and its variants are commonly used to assess people's accessibility to healthy food in public health. However, these indices only consider the geographic distribution of food retailers and neglect human factors, limiting their explanatory power. In this study, a hybrid approach was proposed to integrate human and environmental factors into RFEI, and this approach was demonstrated in a case study in Florida, USA. The results showed that the enhanced RFEI (eRFEI) identified underserved populations more accurately, providing policymakers with more effective intervention strategies.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Public, Environmental & Occupational Health
Anaia da Paixao Seva, Liang Mao, Fredy Galvis-Ovallos, Karenina Melo Miranda Oliveira, Francisco Bruno Souza Oliveira, George Rego Albuquerque
Summary: This study investigated and compared the spatio-temporal patterns of tegumentary and visceral leishmaniasis in Bahia, Brazil from 2007 to 2020, and their correlations with extrinsic factors. The results showed a decreasing trend in the number of cases for both diseases. The study identified different risk areas for tegumentary and visceral leishmaniasis.
SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY
(2023)
Article
Multidisciplinary Sciences
Ling Yin, Hao Zhang, Yuan Li, Kang Liu, Tianmu Chen, Wei Luo, Shengjie Lai, Ye Li, Xiujuan Tang, Li Ning, Shengzhong Feng, Yanjie Wei, Zhiyuan Zhao, Ying Wen, Liang Mao, Shujiang Mei
Summary: This study integrated mobile phone tracking, census data and building characteristics to simulate COVID-19 spread in Shenzhen City, showing that a comprehensive approach of household contact tracing, mask wearing and prompt testing can effectively suppress the probability of resurgence.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2021)
Article
Economics
Fangye Du, Liang Mao, Jiaoe Wang
Summary: The study found that age influences people's travel mode choices, while household income has different effects on different age groups. Additionally, urban development and parking issues have varying impacts on different age cohorts.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Computer Science, Interdisciplinary Applications
Yan Yang, Liang Mao, Sara S. Metcalf
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2019)
Article
Public, Environmental & Occupational Health
Liang Mao, Jue Yang, Guangran Deng
SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY
(2018)
Article
Public, Environmental & Occupational Health
Samantha Horn, Yana Litovsky, George Loewenstein
Summary: This study suggests that curiosity can be a useful tool in increasing demand for and engagement with aversive health information. By manipulating curiosity through various methods, researchers found that participants were more likely to view and engage with information about their drinking habits, cancer risk, and the sugar content in drinks. Overall, curiosity prompts provide a simple and effective way to increase engagement with aversive health information.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Sandra Gillner
Summary: Despite high expectations, the extensive and rapid adoption of AI in medical diagnostics has not been realized. This study investigates the perception and navigation of AI providers in complex healthcare systems, revealing their self-organization to increase adaptability and the practices utilized to mitigate tensions within the healthcare subsystems.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Fabian Duartea, Alvaro Jimenez-Molina
Summary: This study found that violence related to social protest has a significant impact on depressive symptoms, leading to an increase in depression among the population in Chile. The effect varies by gender and age, with a stronger influence on men and young adults.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Nick Graetz, Carl Gershenson, Sonya R. Porter, Danielle H. Sandler, Emily Lemmerman, Matthew Desmond
Summary: Investments in stable, affordable housing may be an important tool for improving population health. This study, using administrative data, found that high rent burden, increases in rent burden during midlife, and evictions were associated with increased mortality.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Wan Wei
Summary: This study explores the phenomenon of other patient participation in Traditional Chinese Medicine (TCM), uncovering the various roles that third parties can assume during medical interactions. The findings contribute to existing research on patient resistance and triadic medical interactions, providing insights into the dynamics and implications of third-party involvement in medical consultations.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Harry Scarbrough, Katie Rose M. Sanfilippo, Alexandra Ziemann, Charitini Stavropoulou
Summary: This paper examines the contribution of pilot implementation studies to the wider spread and sustainability of innovation in healthcare systems. Through an empirical examination of an innovation intermediary organization in the English NHS, the study finds that their work in mobilizing pilot-based evidence involves configuring to context, transitioning evidence, and managing the transition. The findings contribute to theory by showing how intermediary roles can support the effective transitioning of pilot-based evidence, leading to more widespread adoption and sustainability of innovation.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Marta Seiz, Leire Salazar, Tatiana Eremenko
Summary: This study examines the impact of maternal educational selection on birth outcomes during an economic recession, and finds that more educated mothers are more likely to give birth during high unemployment periods. Additionally, maternal education mitigates the adverse effects of unemployment on birth outcomes and is consistently associated with better perinatal health.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Jingyuan Shi, Hye Kyung Kim, Charles T. Salmon, Edson C. Tandoc Jr, Zhang Hao Goh
Summary: This study examines the influence of individual and collective norms on COVID-19 vaccination intention across eight Asian countries. The findings reveal nuanced patterns of how individual and collective social norms influence health behavioral decisions, depending on the degree of cultural tightness-looseness.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Elliot Friedman, Melissa Franks, Elizabeth Teas, Patricia A. Thomas
Summary: This study found that positive relations with others have a significant impact on functional limitations and longevity in aging adults, independent of social integration and social support.
SOCIAL SCIENCE & MEDICINE
(2024)
Article
Public, Environmental & Occupational Health
Zhuolin Pan, Yuqi Liu, Ye Liu, Ziwen Huo, Wenchao Han
Summary: This study examines the effects of age-friendly neighbourhood environment and functional abilities on life satisfaction among older adults in urban China. The findings highlight the importance of transportation, housing, and social and physical environment factors in influencing functional abilities and life satisfaction. The study provides valuable insights for policymakers in enhancing older adults' life satisfaction in the Chinese urban context.
SOCIAL SCIENCE & MEDICINE
(2024)