Evidence map›Paper›PMID 34372929›Full record

ArticleInfectious diseases of poverty2021

Impact of vaccine supplies and delays on optimal control of the COVID-19 pandemic: mapping interventions for the Philippines.

Carlo Delfin S Estadilla, Joshua Uyheng, Elvira P de Lara-Tuprio, Timothy Robin Teng, Jay Michael R Macalalag, Maria Regina Justina E Estuar

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Aging in Southeast Asia and Japan: Challenges and opportunities.Geriatrics & gerontology international · 2025
    Review
  3. Optimality of Maximal-Effort Vaccination.Bulletin of mathematical biology · 2023
    Article
  4. Article
  5. Review
  6. Article
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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 at 2 institutions in 1 country.

Carlo Delfin S EstadillaDepartment of Mathematics, Ateneo de Manila University, Katipunan Ave., Brgy. Loyola Heights, 1102, Quezon City, Philippines. cestadilla@ateneo.edu.ORCID http://orcid.org/0000-0003-3444-0242
Joshua UyhengDepartment of Psychology, Ateneo de Manila University, Quezon City, Philippines.
Elvira P de Lara-TuprioDepartment of Mathematics, Ateneo de Manila University, Katipunan Ave., Brgy. Loyola Heights, 1102, Quezon City, Philippines.
Timothy Robin TengDepartment of Mathematics, Ateneo de Manila University, Katipunan Ave., Brgy. Loyola Heights, 1102, Quezon City, Philippines.
Jay Michael R MacalalagDepartment of Mathematics, Caraga State University, Butuan City, Philippines.
Maria Regina Justina E EstuarDepartment of Information Systems and Computer Science, Ateneo de Manila University, Quezon City, Philippines.
Ateneo de Manila University · PHCaraga State University · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAround the world, controlling the COVID-19 pandemic requires national coordination of multiple intervention strategies. As vaccinations are globally introduced into the repertoire of available interventions, it is important to consider how changes in the local supply of vaccines, including delays in administration, may be addressed through existing policy levers. This study aims to identify the optimal level of interventions for COVID-19 from 2021 to 2022 in the Philippines, which as a developing country is particularly vulnerable to shifting assumptions around vaccine availability. Furthermore, we explore optimal strategies in scenarios featuring delays in vaccine administration, expansions of vaccine supply, and limited combinations of interventions.

methodsEmbedding our work within the local policy landscape, we apply optimal control theory to the compartmental model of COVID-19 used by the Philippine government's pandemic surveillance platform and introduce four controls: (a) precautionary measures like community quarantines, (b) detection of asymptomatic cases, (c) detection of symptomatic cases, and (d) vaccinations. The model is fitted to local data using an L-BFGS minimization procedure. Optimality conditions are identified using Pontryagin's minimum principle and numerically solved using the forward-backward sweep method.

resultsSimulation results indicate that early and effective implementation of both precautionary measures and symptomatic case detection is vital for averting the most infections at an efficient cost, resulting in [Formula: see text] reduction of infections compared to the no-control scenario. Expanding vaccine administration capacity to 440,000 full immunizations daily will reduce the overall cost of optimal strategy by [Formula: see text], while allowing for a faster relaxation of more resource-intensive interventions. Furthermore, delays in vaccine administration require compensatory increases in the remaining policy levers to maintain a minimal number of infections. For example, delaying the vaccines by 180 days (6 months) will result in an [Formula: see text] increase in the cost of the optimal strategy.

conclusionWe conclude with practical insights regarding policy priorities particularly attuned to the Philippine context, but also applicable more broadly in similar resource-constrained settings. We emphasize three key takeaways of (a) sustaining efficient case detection, isolation, and treatment strategies; (b) expanding not only vaccine supply but also the capacity to administer them, and; (c) timeliness and consistency in adopting policy measures.

Indexed as

AlgorithmsCOVID-19COVID-19 VaccinesDeveloping CountriesHumansModels, StatisticalPhilippinesPopulation SurveillanceCOVID-19 VaccinesCOVID-19 pandemicNon-pharmaceutical interventionsOptimal controlPhilippinesVaccines

Identifiers

PMID34372929
PMCPMC8352160
OpenAlexW3188076884

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.