Correction to: First COVID-19 infections in the Philippines: a case report

Edrada, Edna M.; López, Esperanza; Villarama, Jose Benito; Villarama, Eumelia P. Salva; Dagoc, Bren F.; Smith, Chris; Sayo, Ana Ria; Verona, Jeffrey A.; Trifalgar-Arches, Jamie; Lazaro, Jezreel; Balinas, Ellen Grace M.; Telan, Elizabeth Freda O.; Roy, Lynsil; Galon, Myvie; Florida, Carl Hill N.; Ukawa, Tatsuya; Villanueva, Annavi Marie G.; Saito, Nobuo; Nepomuceno, Jean Raphael; Ariyoshi, Koya; Carlos, Celia; Nicolasora, Amalea Dulcene; Solante, Rontgene

doi:10.1186/s41182-020-00218-7

Cited by 14 publications

(4 citation statements)

References 1 publication

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“…12 In the Philippines, the first case of COVID-19 pandemic was detected in January 2020 and a total of 460,000 infections were reported by the end of 2020. 13 On March 15, 2020, the virus made its way to the Davao Region after the first instance of the illness was identified in Davao del Norte, Tagum City. 14 By that time, Davao City and all the provinces have at least one verified COVID-19 pandemic case each.…”

Section: Methodsmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Blood Supply

Yap,

Fedoc-Minguito

2023

Phil Journal Path

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Objective. The study aimed to determine the impact of the COVID-19 pandemic on local blood supply management in the Davao Region, Philippines from 2019 to 2021 through the analysis of trends in blood supply in Davao Region, Philippines.Methodology. Secondary data from two blood centers in the Davao Region for the years 2019 to 2021 were used to determine the trends on blood donation supply. To evaluate trends, the overall number of blood donors and the quantities of various types of blood components in whole blood, packed red blood cells (PRBCs), fresh frozen plasma (FFPs) and platelet concentrate have been compared between pre-pandemic, pandemic periods and as restrictions eased. Results.A substantial decrease of 51.6% in the number of blood donors was seen during 2021 in comparison with 2019. The trend in collection by blood components also showed a significant trend from 2019 to 2021, whole blood (200.8%), packed RBCs (37.1%), fresh frozen plasma (113.6%). While the platelet concentrate supply declined by 34.9% from 2019 to 2020, an increase of 10.7% was noted onwards to 2021. Conclusion.The results demonstrate that during the COVID-19 pandemic, there was a major reduction in donation and supply of blood. The challenges faced by blood banks in ensuring a stable and sufficient blood supply are highlighted by the decrease in the number of donors and by the different trends in the supply of blood components. The targeted efforts to promote blood donation and enhance the resilience of the blood supply during and after the pandemic is important.

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Section: Methodsmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Blood Supply

Yap,

Fedoc-Minguito

2023

Phil Journal Path

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“…Due to the longer and stricter quarantine in Cebu, the lockdown had a greater impact here than in other areas where restrictions were eased earlier. [31] Dumaguete was one of the destinations of the first COVID case in the Philippines [32], their local government was able to keep infections at bay early on. Siquijor was also COVID-19-free for 6 months.…”

Section: Outliersmentioning

confidence: 99%

Local Government Responses for COVID-19 Management in the Philippines

Talabis

Babierra

Buhat

et al. 2021

Preprint

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Background: Responses 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 tooperate 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.Methods: Data come 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 ) are compared to the economic, health, and demographic data (dataset X) using Euclidean metric d = (x - y)2, where x ∈ X and y ∈ Y . If a data pair (x; y) exceeds, by two standard deviations, themean of the Euclidean metric values between the sets X and Y , the pair is assumed to be a 'good' outlier.Results: Our 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. Conclusions: Strict 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.

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“…The Philippines diagnosed its first COVID-19 case last January 30, 2020 from a visiting couple from China [ 1 ]. The first local transmission of the virus was confirmed March 7, 2020 [ 2 ].…”

Section: Introductionmentioning

confidence: 99%