Evidence map›Paper›PMID 34544423›Full record

ArticleBMC public health2021

Local government responses for COVID-19 management in the Philippines.

Dylan Antonio S Talabis, Ariel L Babierra, Christian Alvin H Buhat, Destiny S Lutero, Kemuel M Quindala, Jomar F Rabajante

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

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  18. The Environment Encouraging COVID-19 Response at Public Health Centers and Future Challenges in Japan.International journal of environmental research and public health · 2022
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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.

Dylan Antonio S TalabisInstitute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines. dstalabis1@up.edu.ph.
Ariel L BabierraInstitute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines.
Christian Alvin H BuhatInstitute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines.
Destiny S LuteroInstitute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines.
Kemuel M QuindalaInstitute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines.
Jomar F RabajanteInstitute of Mathematical Sciences and Physics, University of the Philippines Los Baños, Laguna, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResponses of subnational government units are crucial in the containment of the spread of pathogens in a country. To mitigate the impact of the COVID-19 pandemic, the Philippine national government through its Inter-Agency Task Force on Emerging Infectious Diseases outlined different quarantine measures wherein each level has a corresponding degree of rigidity from keeping only the essential businesses open to allowing all establishments to operate at a certain capacity. Other measures also involve prohibiting individuals at a certain age bracket from going outside of their homes. The local government units (LGUs)-municipalities and provinces-can adopt any of these measures depending on the extent of the pandemic in their locality. The purpose is to keep the number of infections and mortality at bay while minimizing the economic impact of the pandemic. Some LGUs have demonstrated a remarkable response to the COVID-19 pandemic. The purpose of this study is to identify notable non-pharmaceutical interventions of these outlying LGUs in the country using quantitative methods.

methodsData were taken from public databases such as Philippine Department of Health, Philippine Statistics Authority Census, and Google Community Mobility Reports. These are normalized using Z-transform. For each locality, infection and mortality data (dataset Y) were compared to the economic, health, and demographic data (dataset X) using Euclidean metric d=(x-y)

resultsOur results showed that cluster of cities and provinces in Central Luzon (Region III), CALABARZON (Region IV-A), the National Capital Region (NCR), and Central Visayas (Region VII) are the 'good' outliers with respect to factors such as working population, population density, ICU beds, doctors on quarantine, number of frontliners and gross regional domestic product. Among metropolitan cities, Davao was a 'good' outlier with respect to demographic factors.

conclusionsStrict border control, early implementation of lockdowns, establishment of quarantine facilities, effective communication to the public, and monitoring efforts were the defining factors that helped these LGUs curtail the harm that was brought by the pandemic. If these policies are to be standardized, it would help any country's preparedness for future health emergencies.

Indexed as

COVID-19PandemicsCommunicable Disease ControlHumansLocal GovernmentPhilippinesSARS-CoV-2COVID-19Local governmentOutlierPoliciesQuantitative methods

Identifiers

PMID34544423
PMCPMC8452379

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.