Evidence map›Paper›PMID 35359775›Full record

ReviewFrontiers in public health2022

A Survey of Location-Allocation of Points of Dispensing During Public Health Emergencies.

Nusaybah Alghanmi, Reem Alotaibi, Sultanah Alshammari, Areej Alhothali, Omaimah Bamasag, Kamil Faisal

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pharmacy-based immunization: a systematic review.Frontiers in public health · 2023
    Pooled it
  2. Article
  3. Optimizing the Selection of Mass Vaccination Sites: Access and Equity Consideration.International journal of environmental research and public health · 2024
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nusaybah AlghanmiDepartment of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Reem AlotaibiDepartment of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Sultanah AlshammariDepartment of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Areej AlhothaliDepartment of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Omaimah BamasagDepartment of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Kamil FaisalDepartment of Geomatics, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health emergencies such as disease outbreaks and bioterrorism attacks require immediate response to ensure the safety and well-being of the affected community and prevent the further spread of infection. The standard method to increase the efficiency of mass dispensing during health emergencies is to create emergency points called points of dispensing (PODs). PODs are sites for distributing medical services such as vaccines or drugs to the affected population within a specific time constraint. These PODs need to be sited in optimal locations and have people (demand points) assigned to them simultaneously; this is known as the location-allocation problem. PODs may need to be selected to serve the entire population (full allocation) or different priority or needs groups (partial allocation). Several previous studies have focused on location problems in different application domains, including healthcare. However, some of these studies focused on healthcare facility location problems without specifying location-allocation problems or the exact domain. This study presents a survey of the PODs location-allocation problem during public health emergencies. This survey aims to review and analyse the existing models for PODs location-allocation during public health emergencies based on full and partial demand points allocation. Moreover, it compares existing models based on their key features, strengths, and limitations. The challenges and future research directions for PODs location-allocation models are also discussed. The results of this survey demonstrated a necessity to develop a variety of techniques to analyse, define and meet the demand of particular groups. It also proved essential that models be developed for different countries, including accounting for variations in population size and density. Moreover, the model constraints, such as those relating to time or prioritizing certain groups, need to be considered in the solution. Finally, additional comparative studies are required to clarify which methods or models are adequate based on predefined criteria.

Indexed as

EmergenciesEmergency Medical ServicesPublic HealthDisease OutbreaksHumansSurveys and Questionnairesdisaster response and managementhealthcarelocation-allocationpoints of dispensingpublic health emergency

Identifiers

PMID35359775
PMCPMC8960142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.