Queing Theory, a Tool for Polio Eradication in Nigeria
Raphael Ayan Adeleke, Ibrahim Ismaila Itopa, Sule Omeiza Bashiru
Asian Journal of Probability and Statistics · pp. 123–133 · Published 13 Dec 2021
10.9734/ajpas/2021/v15i430369Abstract
To curb the spread of contagious diseases and the recent polio outbreak in Nigeria, health departments must set up and operate clinics to dispense medications or vaccines. Residents arrive according to an external (not necessarily Poisson) Arrival process to the clinic. When a resident arrives, he goes to the first workstation, based on his or her information, the resident moves from one workstation to another in the clinic. The queuing network is decomposed by estimating the performance of each workstation using a combination of exact and approximate models. A key contribution of this research is to introduce approximations for workstations with batch arrivals and multiple parallel servers, for workstations with batch service processes and multiple parallel servers, and for self service workstations. We validated the models for likely scenarios using data collected from one of the states vaccination clinics in the country during the vaccination exercises.
Cited by 0
No indexed citations yet.
Related research
- Exploring the Factors Influencing Home Delivery: A Cross Sectional Study among Rural Residents in Tamale Metropolis — shares topic coverage
- Shoulder Dystocia — shares topic coverage
- Socio-Economic Attributes of Residents as Drivers of Adaptation to Climate Change Effects in a Nigerian Traditional Urban Center — shares topic coverage
- Perceptions on the Performance of Media against Corruption in Tanzania: A Survey of Ubungo Municipality Residents in Dar es Salaam — shares topic coverage
- A Regression Analysis of Residents’ Socio-economic and Subjective Wellbeing Attributes in Nigeria Western Border Settlements — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.