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Table 1. Number of available sequences by variant in the Philippines as of 31 March 2023. The variants (VOC/VUM) here only include sequences that present in the GISAID or GECO data base and fulfill the definitions of WHO at the time the report is prepared. New submission, new sequences submitted from the last report. Isolated in 3 months, sequences isolated from 1 December 2022 to 31 March 2023. Numbers in the parentheses are percentage of the category (%). Note that recombinant strains involving Omicron sublineages (e.g. XBB, XBC) are provisionally classified as “Omicron”.
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VOC (Variant of Concern): A SARS-CoV-2 variant that meets the definition of a VOI (see below) and, through a comparative assessment, has been demonstrated to be associated with (a) increase in transmissibility, (b) increase in clinical disease presentation or (c) decrease in effectiveness of public health measures including diagnostics, vaccines, therapeutics.
VOI (Variant of Interest): A SARS-CoV-2 variant: (a) with genetic changes that are predicted or known to affect virus characteristics such as transmissibility, disease severity, immune escape, diagnostic or therapeutic escape; AND (b) identified to cause significant community transmission or multiple COVID-19 clusters, in multiple countries with increasing relative prevalence alongside increasing number of cases over time.
VUM (Variant Under monitoring): A SARS-CoV-2 variant with genetic changes that are suspected to affect virus characteristics with some indication that it may pose a future risk, but evidence of phenotypic or epidemiological impact is currently unclear, requiring enhanced monitoring and repeat assessment pending new evidence.
Pango lineage: A dynamic SARS-CoV-2 naming system that uses a phylogenetic framework (methods that involve a tree-like structure inferred based on genetic information of viruses) to identify actively spreading lineages. The Pango system is designed to track the transmission and spread of SARS-CoV-2, but does not attempt to identify or define VOCs or VOIs.
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Figure 1. Temporal frequencies of SARS-CoV-2 variants in the Philippines. The figure is constructed with a subsampled genomic data set from all available sequences (methods). Different ways of classification of SARS-CoV-2 lineages isolated in the country can be visualised by selecting options for coloring in the control panel (icon on top left/right). Note that the latest available Philippine sequences were isolated on 31 January 2023, thus the frequencies after the time point could harbor great uncertainty.
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Table 1b. Number of available Omicron sequences in the Philippines as of 31 March 2023. New submission, new sequences submitted from the last report. Isolated in 3 months, sequences isolated from 1 December 2022 to 31 March 2023. Numbers in the parentheses are percentage of the category (%). Phylogenetic relationship of the sublineages of Omicron variant is available here.
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More than 70 Pango lineages have been found among Delta variants isolated in the Philippines, with >40 sublineages that have more than 2 isolated sequences as of March 2022. Phylogenetic relationship of the sublineages of Delta variant is available here.
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Table 2. Number of available sequences by administrative region in the Philippines as of 31 March 2023. New submission, new sequences submitted from the last report. Dominant variant in 3 months, the major variant isolated from 1 December 2022 to 31 March 2023. A dash indicates no sequence isolated. Isolated in 3 months, sequences isolated from 1 December 2022 to 31 March 2023. Numbers next to the dominant variant indicate percentage of the variant in the region, whereas other numbers in the parentheses are percentage of the category.
NCR, National Capital Region; CAR, Cordillera Administrative Region; BARMM, Bangsamoro Autonomous Region in Muslim Mindanao.\(~\)
Figure 2. Frequencies of SARS-CoV-2 variants by administrative region in the Philippines since 1 December 2022. The figure is constructed with a subsampled genomic data set from all available sequences as Figure 1. Frequencies of isolates in a particular time frame and frequencies classified with the Pango linage can be adjusted with the control panel (icon on top left/right).
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Figure 3. Temporal frequencies of Philippine lineages (clusters) identified by Grapevine-anywhere. Each sequence submitted to GECO database would undergo Grapevine-anywhere pipeline to detect sustain local transmission. A cluster is defined based on multiple sequences isolated in the Philippines that appeared to descend from the same introductory event on a phylogenetic tree. Phylogenetic relationships of these lineages can be found here.
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Table 3. Number of sequences by cluster identified with the Grapevine-anywhere as of 31 March 2023. A cluster is defined based on multiple sequences isolated in the Philippines that appeared to descend from the same introductory event on a phylogenetic tree. Date first identified, the isolation date of the first identified sequence. Pango lineage, the major Pango lineage of the sequences that belong to the same cluster. New submission, new sequences submitted from the last report. Isolated in 3 months, sequences isolated from 1 December 2022 to 31 March 2023.
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Figure 4. Number of COVID-19 cases and the proportion of sequenced samples in the Philippines from July 2021. The gray line indicates the mean cases in a 7 days window based on the JHU data base, whereas the red bars indicate the estimated percentage of sequenced samples among cases in a month.
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Figure 5. Mean effective reproductive number (Rt) of COVID-19 in the Philippines by region from August 2022. The reproductive number (R) is defined as the number of new infections that one infected patient can cause in a susceptible population. Here, the mean effective reproductive number (Rt) was inferred by daily number of cases reported in MOH, Philippines in a window of seven days. The horizontal line indicates one. If Rt is greater than 1, the case number in the region will likely continue to grow. If the Rt is below 1, the new cases may continue to appear at a slower rate. The R values denoted with the region name represent the most recent estimates. More regional epidemiological statistics can be found here.
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Omicron sublineage convergent sites
R346X (K: BA.1.1; T: BA.5.2, BA.2.75.2): Distribution on the Philippine isolates
K444X (R: BA.2.3.20; M: BR.1 [a BA.2.75.4.*]; T: BQ.1): Distribution on the Philippine isolates
L452X (R: BA.4/BA.5, BA.2.35; M: BA.2.3.20): Distribution on the Philippine isolates
N460X (K: BA.2.75, BQ.1 [a BA.5.3.*], BA.2.3.20): Distribution on the Philippine isolates
F486X (V: BA.4/BA.5, S: BA.2.75.2, XBB.1.5): Distribution on the Philippine isolates
R493X (Q: BA.4/BA.5, BA.2.75, BA.2.3.20): Distribution on the Philippine isolates
Other Spike protein
69-70Del (Alpha, Omicron): Distribution on the Philippine isolates
T95I (Mu, Omicron): Distribution on the Philippine isolates
144- (Alpha, Eta, Omicron): Distribution on the Philippine isolates
K417N (Beta, Omicron): Distribution on the Philippine isolates
T478K (Delta, Omicron): Distribution on the Philippine isolates
E484K (Beta, Gamma, Eta, Mu): Distribution on the Philippine isolates
N501Y (Alpha, Beta, Gamma, Mu, Omicron): Distribution on the Philippine isolates
H655Y (Gamma, Omicron): Distribution on the Philippine isolates
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Relevant functions including antibody escape (S 69-70Δ, S 144, S 346, S 417, S 484) and receptor binding (S 417, S 484, S 501). 69-70Del or 69-70Δ, deletions at positions 69-70.
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Data
Methods
References