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Dive into the research topics where Sheng I. Chen is active.

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Featured researches published by Sheng I. Chen.


Vaccine | 2010

Single versus multi-dose vaccine vials: an economic computational model.

Bruce Y. Lee; Bryan A. Norman; Tina Marie Assi; Sheng I. Chen; Rachel R. Bailey; Jayant Rajgopal; Shawn T. Brown; Ann E. Wiringa; Donald S. Burke

Single-dose vaccine formats can prevent clinic-level vaccine wastage but may incur higher production, medical waste disposal, and storage costs than multi-dose formats. To help guide vaccine developers, manufacturers, distributors, and purchasers, we developed a computational model to predict the potential economic impact of various single-dose versus multi-dose measles (MEA), hemophilus influenzae type B (Hib), Bacille Calmette-Guérin (BCG), yellow fever (YF), and pentavalent (DTP-HepB-Hib) vaccine formats. Lower patient demand favors fewer dose formats. The mean daily patient arrival thresholds for each vaccine format are as follows: for the MEA vaccine, 2 patients/day (below which the single-dose vial and above which the 10-dose vial are least costly); BCG vaccine, 6 patients/day (below, 10-dose vial; above, 20-dose vial); Hib vaccine, 5 patients/day (below, single-dose vial; above, 10-dose vial); YF vaccine, 33 patients/day (below, 5-dose vials; above 50-dose vial); and DTP-HepB-Hib vaccine, 5 patients/day (below, single-dose vial; above, 10-dose vial).


BMC Public Health | 2011

Impact of changing the measles vaccine vial size on Niger's vaccine supply chain: a computational model

Tina Marie Assi; Shawn T. Brown; Ali Djibo; Bryan A. Norman; Jayant Rajgopal; Joel S. Welling; Sheng I. Chen; Rachel R. Bailey; Souleymane Kone; Hailu Kenea; Diana L. Connor; Angela R. Wateska; Anirban Jana; Stephen R. Wisniewski; Willem G. van Panhuis; Donald S. Burke; Bruce Y. Lee

BackgroundMany countries, such as Niger, are considering changing their vaccine vial size presentation and may want to evaluate the subsequent impact on their supply chains, the series of steps required to get vaccines from their manufacturers to patients. The measles vaccine is particularly important in Niger, a country prone to measles outbreaks.MethodsWe developed a detailed discrete event simulation model of the vaccine supply chain representing every vaccine, storage location, refrigerator, freezer, and transport device (e.g., cold trucks, 4 × 4 trucks, and vaccine carriers) in the Niger Expanded Programme on Immunization (EPI). Experiments simulated the impact of replacing the 10-dose measles vial size with 5-dose, 2-dose and 1-dose vial sizes.ResultsSwitching from the 10-dose to the 5-dose, 2-dose and 1-dose vial sizes decreased the average availability of EPI vaccines for arriving patients from 83% to 82%, 81% and 78%, respectively for a 100% target population size. The switches also changed transport vehicles utilization from a mean of 58% (range: 4-164%) to means of 59% (range: 4-164%), 62% (range: 4-175%), and 67% (range: 5-192%), respectively, between the regional and district stores, and from a mean of 160% (range: 83-300%) to means of 161% (range: 82-322%), 175% (range: 78-344%), and 198% (range: 88-402%), respectively, between the district to integrated health centres (IHC). The switch also changed district level storage utilization from a mean of 65% to means of 64%, 66% and 68% (range for all scenarios: 3-100%). Finally, accounting for vaccine administration, wastage, and disposal, replacing the 10-dose vial with the 5 or 1-dose vials would increase the cost per immunized patient from


American Journal of Public Health | 2012

Impact of introducing the pneumococcal and rotavirus vaccines into the routine immunization program in Niger

Bruce Y. Lee; Tina Marie Assi; Jayant Rajgopal; Bryan A. Norman; Sheng I. Chen; Shawn T. Brown; Rachel B. Slayton; Souleymane Kone; Hailu Kenea; Joel S. Welling; Diana L. Connor; Angela R. Wateska; Anirban Jana; Ann E. Wiringa; Willem G. van Panhuis; Donald S. Burke

0.47US to


PLOS ONE | 2013

Augmenting Transport versus Increasing Cold Storage to Improve Vaccine Supply Chains

Leila A. Haidari; Diana L. Connor; Angela R. Wateska; Shawn T. Brown; Leslie E. Mueller; Bryan A. Norman; Michelle M. Schmitz; Proma Paul; Jayant Rajgopal; Joel S. Welling; Jim Leonard; Sheng I. Chen; Bruce Y. Lee

0.71US and


Vaccine | 2011

The optimal number of routine vaccines to order at health clinics in low or middle income countries.

Jayant Rajgopal; Diana L. Connor; Tina Marie Assi; Bryan A. Norman; Sheng I. Chen; Rachel R. Bailey; Adrienne R. Long; Angela R. Wateska; Kristina M. Bacon; Shawn T. Brown; Donald S. Burke; Bruce Y. Lee

1.26US, respectively.ConclusionsThe switch from the 10-dose measles vaccines to smaller vial sizes could overwhelm the capacities of many storage facilities and transport vehicles as well as increase the cost per vaccinated child.


Vaccine | 2012

How Influenza Vaccination Policy May affect Vaccine Logistics

Tina Marie Assi; Korngamon Rookkapan; Jayant Rajgopal; Vorasith Sornsrivichai; Shawn T. Brown; Joel S. Welling; Bryan A. Norman; Diana L. Connor; Sheng I. Chen; Rachel B. Slayton; Yongjua Laosiritaworn; Angela R. Wateska; Stephen R. Wisniewski; Bruce Y. Lee

OBJECTIVES We investigated whether introducing the rotavirus and pneumococcal vaccines, which are greatly needed in West Africa, would overwhelm existing supply chains (i.e., the series of steps required to get a vaccine from the manufacturers to the target population) in Niger. METHODS As part of the Bill and Melinda Gates Foundation-funded Vaccine Modeling Initiative, we developed a computational model to determine the impact of introducing these new vaccines to Nigers Expanded Program on Immunization vaccine supply chain. RESULTS Introducing either the rotavirus vaccine or the 7-valent pneumococcal conjugate vaccine could overwhelm available storage and transport refrigerator space, creating bottlenecks that would prevent the flow of vaccines down to the clinics. As a result, the availability of all World Health Organization Expanded Program on Immunization vaccines to patients might decrease from an average of 69% to 28.2% (range = 10%-51%). Addition of refrigerator and transport capacity could alleviate this bottleneck. CONCLUSIONS Our results suggest that the effects on the vaccine supply chain should be considered when introducing a new vaccine and that computational models can help assess evolving needs and prevent problems with vaccine delivery.


Journal of Public Health Management and Practice | 2013

Only adding stationary storage to vaccine supply chains may create and worsen transport bottlenecks.

Leila A. Haidari; Diana L. Connor; Angela R. Wateska; Shawn T. Brown; Leslie E. Mueller; Bryan A. Norman; Michelle M. Schmitz; Proma Paul; Jayant Rajgopal; Joel S. Welling; Jim Leonard; Erin Claypool; Yu Ting Weng; Sheng I. Chen; Bruce Y. Lee

Background When addressing the urgent task of improving vaccine supply chains, especially to accommodate the introduction of new vaccines, there is often a heavy emphasis on stationary storage. Currently, donations to vaccine supply chains occur largely in the form of storage equipment. Methods This study utilized a HERMES-generated detailed, dynamic, discrete event simulation model of the Niger vaccine supply chain to compare the impacts on vaccine availability of adding stationary cold storage versus transport capacity at different levels and to determine whether adding stationary storage capacity alone would be enough to relieve potential bottlenecks when pneumococcal and rotavirus vaccines are introduced by 2015. Results Relieving regional level storage bottlenecks increased vaccine availability (by 4%) more than relieving storage bottlenecks at the district (1% increase), central (no change), and clinic (no change) levels alone. Increasing transport frequency (or capacity) yielded far greater gains (e.g., 15% increase in vaccine availability when doubling transport frequency to the district level and 18% when tripling). In fact, relieving all stationary storage constraints could only increase vaccine availability by 11%, whereas doubling the transport frequency throughout the system led to a 26% increase and tripling the frequency led to a 30% increase. Increasing transport frequency also reduced the amount of stationary storage space needed in the supply chain. The supply chain required an additional 61,269L of storage to relieve constraints with the current transport frequency, 55,255L with transport frequency doubled, and 51,791L with transport frequency tripled. Conclusions When evaluating vaccine supply chains, it is important to understand the interplay between stationary storage and transport. The HERMES-generated dynamic simulation model showed how augmenting transport can result in greater gains than only augmenting stationary storage and can reduce stationary storage needs.


Iie Transactions | 2014

A planning model for the WHO-EPI vaccine distribution network in developing countries

Sheng I. Chen; Bryan A. Norman; Jayant Rajgopal; Tina M. Assi; Bruce Y. Lee; Shawn T. Brown

In a low or middle income country, determining the correct number of routine vaccines to order at a health clinic can be difficult, especially given the variability in the number of patients arriving, minimal vaccination days and resource (e.g., information technology and refrigerator space) constraints. We developed a spreadsheet model to determine the potential impact of different ordering policies, basing orders on the arrival rates seen in the previous 1, 3, 6, or 12 sessions, or on long-term historical averages (where these might be available) along with various buffer stock levels (range: 5-50%). Experiments varied patient arrival rates (mean range: 1-30 per session), arrival rate distributions (Poisson, Normal, and Uniform) and vaccine vial sizes (range: 1-dose to 10-dose vials). It was found that when the number of doses per vial is small and the expected number of patients is low, the ordering policy has a more significant impact on the ability to meet demand. Using data from more prior sessions to determine arrival rates generally equates to a better ability to meet demand, although the marginal benefit is relatively small after more than 6 sessions are averaged. As expected, the addition of more buffer is helpful in obtaining better performance; however, this advantage also has notable diminishing returns. In general, the long-term demand rate, the vial sizes of the vaccines used and the method of determining the patient arrival rate all have an effect on the ability of a clinic to maximize the demand that is met.


Annals of Operations Research | 2015

Passive cold devices for vaccine supply chains

Sheng I. Chen; Bryan A. Norman; Jayant Rajgopal; Bruce Y. Lee

BACKGROUND When policymakers make decision about the target populations and timing of influenza vaccination, they may not consider the impact on the vaccine supply chains, which may in turn affect vaccine availability. PURPOSE Our goal is to explore the effects on the Thailand vaccine supply chain of introducing influenza vaccines and varying the target populations and immunization time-frames. METHODS We Utilized our custom-designed software HERMES (Highly Extensible Resource for Modeling Supply Chains), we developed a detailed, computational discrete-event simulation model of the Thailands National Immunization Program (NIP) supply chain in Trang Province, Thailand. A suite of experiments simulated introducing influenza vaccines for different target populations and over different time-frames prior to and during the annual influenza season. RESULTS Introducing influenza vaccines creates bottlenecks that reduce the availability of both influenza vaccines as well as the other NIP vaccines, with provincial to district transport capacity being the primary constraint. Even covering only 25% of the Advisory Committee on Immunization Practice-recommended population while administering the vaccine over six months hinders overall vaccine availability so that only 62% of arriving patients can receive vaccines. Increasing the target population from 25% to 100% progressively worsens these bottlenecks, while increasing influenza vaccination time-frame from 1 to 6 months decreases these bottlenecks. CONCLUSION Since the choice of target populations for influenza vaccination and the time-frame to deliver this vaccine can substantially affect the flow of all vaccines, policy-makers may want to consider supply chain effects when choosing target populations for a vaccine.


Vaccine | 2011

Replacing the measles ten-dose vaccine presentation with the single-dose presentation in Thailand

Bruce Y. Lee; Tina Marie Assi; Korngamon Rookkapan; Diana L. Connor; Jayant Rajgopal; Vorasith Sornsrivichai; Shawn T. Brown; Joel S. Welling; Bryan A. Norman; Sheng I. Chen; Rachel R. Bailey; Ann E. Wiringa; Angela R. Wateska; Anirban Jana; Willem G. van Panhuis; Donald S. Burke

Although vaccine supply chains in many countries require additional stationary storage and transport capacity to meet current and future needs, international donors tend to donate stationary storage devices far more often than transport equipment. To investigate the impact of only adding stationary storage equipment on the capacity requirements of transport devices and vehicles, we used HERMES (Highly Extensible Resource for Modeling Supply Chains) to construct a discrete event simulation model of the Niger vaccine supply chain. We measured the transport capacity requirement for each mode of transport used in the Niger vaccine cold chain, both before and after adding cold rooms and refrigerators to relieve all stationary storage constraints in the system. With the addition of necessary stationary storage, the average transport capacity requirement increased from 88% to 144% for cold trucks, from 101% to 197% for pickup trucks, and from 366% to 420% for vaccine carriers. Therefore, adding stationary storage alone may worsen or create new transport bottlenecks as more vaccines flow through the system, preventing many vaccines from reaching their target populations. Dynamic modeling can reveal such relationships between stationary storage capacity and transport constraints.

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Bruce Y. Lee

Johns Hopkins University

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Shawn T. Brown

Pittsburgh Supercomputing Center

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Joel S. Welling

Pittsburgh Supercomputing Center

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