An Approach to, and Tool for, Predicting the Time Course of an Infectious Disease Outbreak as a Function of Behavioral Interventions by Abebe HT, Siraj A, Berhane K, Siraj D, Van Breukelen GJ

“…Combining social distancing with 80% coverage of face masks and hand washing reduced transmission and death by 99.96% and 99.98%, respectively, compared to no preventive measures.Conclusion: This interactive computer program aids epidemiologists, public health experts, and decision-makers in understanding and predicting infectious transmission. …”
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Christianity, ‘supernatural’ beliefs and COVID-19 by E. Shoko

“…Neo-Pentecostal church leaders had mixed messages on the possible cure for COVID-19, with some emphasising miracles as the panacea for COVID-19, and a minority believing that God exhibits his power through epidemiologists. Prayer was also viewed as a tool for Christians to protect themselves from contracting COVID-19 through the invocation of divine powers. …”
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RSero: A user-friendly R package to reconstruct pathogen circulation history from seroprevalence studies. by Nathanaël Hozé, Margarita Pons-Salort, C Jessica E Metcalf, Michael White, Henrik Salje, Simon Cauchemez

“…This package provides a standard framework to epidemiologists and modellers to study the dynamics of past pathogen circulation from cross-sectional serological survey data.…”
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Emotional Experiences of Mental Health First Aid Trainees: A Qualitative Study by Alexander E. Chan, Emma T. Kniola, Raya Francis

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On the Role of Global and Regional Factors in the Development of the Epidemic Process of Anthroponotic Infections by A. A. Yakovlev

“…The current situation is largely due to the fact that the methodology of such studies is not sufficiently developed. Epidemiologists do not always have a clear idea of what influence certain factors have on the manifestations of the epidemic process in various infections. …”
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We Need Epidemiological Study from Our Own Population by Laurentius Aswin Pramono

“…It is the responsibility of clinicians, researchers, and epidemiologists to delve into the intricacies of the population and study its health problems comprehensively. …”
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The CRACK programme: a scientific alliance for bridging healthcare research and public health policies in Italy by Giovanni Corrao, Giancarlo Cesana, Carlo La Vecchia, Giorgio Vittadini, Alberico Catapano, Giuseppe Mancia, Ovidio Brignoli, Alessandro Filippi, Luigi Cantarutti, Luca Merlino, Carlo Zocchetti, Flavia Carle

“…By extensively using electronically stored data, epidemiologists, biostatisticians, pharmacologists and clinicians applied methods and evidence to several issues of healthcare research. …”
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Designing a Minimum Dataset for the Cow's Milk Protein Allergy in Children: Identifying and Evaluating the Key Factors in Managing, Controlling and Monitoring the Cow's Milk Protei... by Farzaneh Asadilari, Sadrieh Hajesmaeel‐Gohari, Roghayeh Ershad Sarabi, Nasrin Bazargan, Sarehsadat Ebrahimi

“…It can provide standardized data elements helping health managers identify the necessary information to create a successful system, also for epidemiologists, researchers and health policy makers obtaining the necessary statistics and information.…”
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How does learning happen in field epidemiology training programmes? A qualitative study by Matthew Myers Griffith, Emma Field, Angela Song-En Huang, Tomoe Shimada, Munkhzul Battsend, Tambri Housen, Barbara Pamphilon, Martyn David Kirk

“…The study aimed to understand the learning processes in four FETPs by describing training approaches for field epidemiologists, outlining learning strategies among trainees, and examining principles and practices that align training approaches and learning strategies. …”
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The Herpes Zoster Patient Pathway and Gaps in Current Vaccination Guidelines in Southeast Asia: Summary of a Zoster Experts’ Network Scientific Workshop by Gyneth Lourdes G. Bibera, Peter San Martin, Desiree A. M. van Oorschot, Afif Nurul Hidayati, Deliana Permatasari, Sasheela Sri La Sri Ponnampalavanar, Kughan Govinden, Maria Christina Filomena Batac, Joselito Javier, Terapong Tantawichien, Phatu Boonmahittisut, Trinh Minh Trang, Thanh Tuyen Dang Thi

“…The workshop included practicing clinical experts and public health specialists/epidemiologists from Indonesia, Malaysia, the Philippines, Thailand, and Vietnam. …”
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Choosing Statistical Models to Assess Biological Interaction as a Departure from Additivity of Effects by Daniel Zhao, David M. Thompson

“…A hallmark of biological interaction is that the total effect, produced when factors act together, differs from the sum of effects when the factors operate independently. Epidemiologists construct statistical models to assess biological interaction. …”
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Using machine learning to understand microgeographic determinants of the Zika vector, Aedes aegypti. by Jagger Alexander, André Barretto Bruno Wilke, Alejandro Mantero, Chalmers Vasquez, William Petrie, Naresh Kumar, John C Beier

“…These results have implications for vector control experts to lead neighborhood-specific vector control strategies and for epidemiologists to guide vector-borne disease risk preparations, especially for containing the spread of vector-borne disease in response to ongoing climate change.…”
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Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study. by Alpha Forna, Ilaria Dorigatti, Pierre Nouvellet, Christl A Donnelly

“…<h4>Background</h4>Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. Epidemiologists should understand how ML algorithms behave within the context of outbreak data where missingness of data is almost ubiquitous.…”
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Seasonal influenza surveillance and vaccination policies in the WHO South-East Asian Region by Md Zakiul Hassan, Saleh Haider

“…The WHO South-East Asia Region (SEAR), with its high population density, is recognised by epidemiologists as a critical reservoir for the emergence and global dissemination of novel influenza strains, making it a potential epicentre for future influenza pandemics. …”
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Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…The presence of incomplete data significantly reduces the quality of the published data, hindering the timely analysis of data and the generation of reliable knowledge by epidemiologists, public health authorities, and researchers. …”
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Animal movement estimation and network-based epidemic modeling: Illustration for the swine industry in Iowa (US). by Qihui Yang, Beatriz Martínez-López, Sifat Afroj Moon, Jose Pablo Gomez-Vazquez, Caterina Scoglio

“…This underscores the importance for stakeholders and policymakers to continue improving animal movement records and traceability programs in the US and the value of making that data available to epidemiologists and modelers to better understand risk and inform strategies aimed to cost-effectively prevent and control disease transmission. …”
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Bayesian analysis for inference of an emerging epidemic: citrus canker in urban landscapes. by Franco M Neri, Alex R Cook, Gavin J Gibson, Tim R Gottwald, Christopher A Gilligan

“…This poses a challenge to epidemiologists: how quickly can the parameters of an emerging disease be estimated? …”
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Possibilities of using the AMRcf online registr y in patients with cystic fibrosis by Maximova E.A., Kuzmenkov A.Yu., Lyamin A.V., Kozlov A.V., Kondratyeva E.I., Kondratenko O.V.

“…Data from the AMRcf and AMRcloud online platforms can be used in routine practice by microbiologists, clinicians, and epidemiologists.…”
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Teaching inequity in vector-borne diseases management through a socioscientific issue framework by Nicole A. Scavo, Sarah Poor, Francisco C. Ferreira, Yuexun Tian, Julia Gonzalez, Jordan Salomon

“…Incorporating this lesson into curricula across multiple disciplines is an important step for developing future entomologists, parasitologists, epidemiologists, and other One Health professionals to address disparities in VBD control and help drive the field forward equitably.…”
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Experimental evolution of a pathogen confronted with innate immune memory increases variation in virulence. by Ana Korša, Moritz Baur, Nora K E Schulz, Jaime M Anaya-Rojas, Alexander Mellmann, Joachim Kurtz

“…Understanding the drivers and mechanisms of virulence evolution is still a major goal of evolutionary biologists and epidemiologists. Theory predicts that the way virulence evolves depends on the balance between the benefits and costs it provides to pathogen fitness. …”
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