How mathematical modelling can inform outbreak response vaccination DOI Creative Commons

Manjari Shankar,

Anna-Maria Hartner, Callum Arnold

et al.

BMC Infectious Diseases, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 1, 2024

Abstract Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns disease spread, simulate control options public health authorities decision-making, and longer-term operational financial planning. In the context of vaccine-preventable diseases (VPDs), vaccines one most-cost effective response interventions, with potential avert significant morbidity mortality through timely delivery. Models can contribute design vaccine by investigating importance timeliness, identifying high-risk areas, prioritising use limited supply, highlighting surveillance gaps reporting, determining short- long-term benefits. this review, we examine how have been used inform for 10 VPDs, provide additional insights into challenges modelling, such as data gaps, key vaccine-specific considerations, communication between modellers stakeholders. We illustrate that while policy-oriented response, they only be good them.

Language: Английский

Why does research matter to psychiatrists? DOI Creative Commons
Lindsey I. Sinclair,

Laura Ajram,

Gertrude Seneviratne

et al.

Brain and Neuroscience Advances, Journal Year: 2025, Volume and Issue: 9

Published: Jan. 1, 2025

Language: Английский

Citations

1
Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS) DOI Creative Commons
Youqi Yang, Walter Dempsey,

Peisong Han

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(22)

Published: May 31, 2024

Selection bias poses a substantial challenge to valid statistical inference in nonprobability samples. This study compared estimates of the first-dose COVID-19 vaccination rates among Indian adults 2021 from large sample, Trends and Impact Survey (CTIS), small probability survey, Center for Voting Options Election Research (CVoter), against national benchmark data COVID Vaccine Intelligence Network. Notably, CTIS exhibits larger estimation error on average (0.37) CVoter (0.14). Additionally, we explored accuracy (regarding mean squared error) estimating successive differences (over time) subgroup (for females versus males) vaccine uptakes. Compared overall rates, targeting these alternative estimands comparing or relative two means increased effective sample size. These results suggest that Big Data Paradox can manifest countries beyond United States may not apply equally every estimand interest.

Language: Английский

Citations

4
STRUCTURE AND CHARACTERISTICS OF THE THIRD MODULE OF THE EDUCATIONAL COMPONENT “INDIVIDUAL SCIENTIFIC WORK” IN THE EDUCATIONAL AND PROFESSIONAL PROGRAM "MEDICINE" DOI Open Access
O. Ye. Akimov,

A.V. Mischenko,

N.V. Solovyova

et al.

Актуальні проблеми сучасної медицини Вісник Української медичної стоматологічної академії, Journal Year: 2025, Volume and Issue: 25(1), P. 186 - 190

Published: March 31, 2025

The United Nations (UN) has identified the following two among 17 Sustainable Development Goals: Goal No. 4, “Quality Education”, which pertains to individuals pursuing II (Master”s) educational level, and 9, “Innovation Infrastructure”, which, in addition fostering industrialization enhancing role of industrial production society, also supports scientific research, necessitating specialists who have completed III (educational scientific) level education. In Ukraine, training Master’s students field knowledge 22 “Health Care” does not mandate acquisition competencies. However, for admission (postgraduate studies), having prior achievements (such as published articles, theses, other academic publications) is highly desirable, it enhances applicant’s competitive ranking. Objective. purpose this study was analyze characteristics structure third module component “Individual Scientific Work” within professional program “Medicine”. Materials Methods. based on employing general theoretical research methods, including analysis, synthesis, concept comparison, abstraction, generalization. Results Discussion. primary objective Module 3 “Principles Pathogenetic Correction Typical Pathological Processes” develop students’ skills medical methodology. thematic plan includes topics: Functional Disorders Various Organs Systems”; Metabolic at Systemic, Organ, Cellular Levels”; Methods Combating Oxidative Stress”, “Influence Production Gasotransmitters (NO, H₂S, CO) a Method Correcting Processes”. inclusion these topics significantly quality education by equipping them with essential competencies necessary further progression level. integration foundational applied pathogenetic correction principles ensures that gain comprehensive understanding methodology, instrumental advancing their future careers. Furthermore, structured approach provides strong practical basis conducting pathophysiology, clinical medicine, translational science. Thus, serves crucial bridge between supporting acquiring inquiry evidence-based medicine.

Language: Английский

Citations

0
Correction: The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic DOI Creative Commons
Richard Grieve, Youqi Yang, Sam Abbott

et al.

PLOS Global Public Health, Journal Year: 2024, Volume and Issue: 4(6), P. e0003402 - e0003402

Published: June 14, 2024

[This corrects the article DOI: 10.1371/journal.pgph.0002601.].

Language: Английский

Citations

0
Liebe Leserinnen und Leser, DOI

Gerd Rasp

Laryngo-Rhino-Otologie, Journal Year: 2024, Volume and Issue: 103(08), P. 556 - 557

Published: Aug. 1, 2024

es ist mir eine besondere Freude, sie zu dieser Sommerausgabe der Laryngo-Rhino-Otologie begrüßen.

Citations

0
Future perspectives: preventing the next pandemic DOI
Catia Cillóniz, Juan M. Pericàs, Rok Čivljak

et al.

European Respiratory Society eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 300 - 320

Published: Aug. 27, 2024

Language: Английский

Citations

0
How mathematical modelling can inform outbreak response vaccination DOI Creative Commons

Manjari Shankar,

Anna-Maria Hartner, Callum Arnold

et al.

BMC Infectious Diseases, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 1, 2024

Abstract Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns disease spread, simulate control options public health authorities decision-making, and longer-term operational financial planning. In the context of vaccine-preventable diseases (VPDs), vaccines one most-cost effective response interventions, with potential avert significant morbidity mortality through timely delivery. Models can contribute design vaccine by investigating importance timeliness, identifying high-risk areas, prioritising use limited supply, highlighting surveillance gaps reporting, determining short- long-term benefits. this review, we examine how have been used inform for 10 VPDs, provide additional insights into challenges modelling, such as data gaps, key vaccine-specific considerations, communication between modellers stakeholders. We illustrate that while policy-oriented response, they only be good them.

Language: Английский

Citations

0