The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology

KH Grantz, HR Meredith, DAT Cummings… - Nature …, 2020 - nature.com
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of
the use of mobile phone data in outbreak response. Mobile phone data have been proposed …

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

S Lai, A Farnham, NW Ruktanonchai… - Journal of travel …, 2019 - academic.oup.com
Rationale for review The increasing mobility of populations allows pathogens to move
rapidly and far, making endemic or epidemic regions more connected to the rest of the world …

Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data

NB Masters, MC Eisenberg… - Proceedings of the …, 2020 - National Acad Sciences
The United States experienced historically high numbers of measles cases in 2019, despite
achieving national measles vaccination rates above the World Health Organization …

Mathematical analysis for a new nonlinear measles epidemiological system using real incidence data from Pakistan

Z Memon, S Qureshi, BR Memon - The European Physical Journal Plus, 2020 - Springer
Modeling of infectious diseases is essential to comprehend dynamic behavior for the
transmission of an epidemic. This research study consists of a newly proposed mathematical …

Periodic dynamics of rubella epidemic under standard and fractional Caputo operator with real data from Pakistan

S Qureshi - Mathematics and Computers in Simulation, 2020 - Elsevier
Memory effects of epidemics play a vital role in mathematical models of infectious diseases.
In this research study, an epidemiological SEIR (Susceptible, Exposed, Infectious …

The duration of travel impacts the spatial dynamics of infectious diseases

JR Giles, E zu Erbach-Schoenberg… - Proceedings of the …, 2020 - National Acad Sciences
Humans can impact the spatial transmission dynamics of infectious diseases by introducing
pathogens into susceptible environments. The rate at which this occurs depends in part on …

[HTML][HTML] Using models to shape measles control and elimination strategies in low-and middle-income countries: a review of recent applications

FT Cutts, E Dansereau, MJ Ferrari, M Hanson… - Vaccine, 2020 - Elsevier
After many decades of vaccination, measles epidemiology varies greatly between and within
countries. National immunization programs are therefore encouraged to conduct regular …

The measles epidemic model assessment under real statistics: an application of stochastic optimal control theory

P Liu, R Ikram, A Khan, A Din - Computer Methods in …, 2023 - Taylor & Francis
A stochastic epidemic model with random noise transmission is taken into account,
describing the dynamics of the measles viral infection. The basic reproductive number is …

[HTML][HTML] Challenges in modeling the emergence of novel pathogens

EE Glennon, M Bruijning, J Lessler, IF Miller, BL Rice… - Epidemics, 2021 - Elsevier
The emergence of infectious agents with pandemic potential present scientific challenges
from detection to data interpretation to understanding determinants of risk and forecasts …

A fractional measles model having monotonic real statistical data for constant transmission rate of the disease

R Almeida, S Qureshi - Fractal and Fractional, 2019 - mdpi.com
Non-Markovian effects have a vital role in modeling the processes related with natural
phenomena such as epidemiology. Various infectious diseases have long-range memory …