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2.
Indian J Med Microbiol ; 40(1): 166-168, 2022.
Article in English | MEDLINE | ID: covidwho-1545055

ABSTRACT

A healthcare worker presented with fever, cough, headache and tested positive by SARS-CoV-2 real time reverse transcriptase polymerase chain reaction (qRT-PCR). He got admitted to hospital and recovered after 14 days. After 2 months, as a screening protocol considering the high risk setup he got tested and again found to be positive for SARS-CoV-2 by qRT-PCR. Our patient had detectable levels of Anti-SARS-CoV-2 IgG antibodies during the reinfection but found negative for Neutralizing antibodies (NAb). Our findings suggest that the person after the initial infection might not develop the desired protective immunity to prevent the reinfection as demonstrated by absence of NAb.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Neutralizing , Antibodies, Viral , COVID-19/diagnosis , Humans , Male , Reinfection/diagnosis
3.
Vector Borne Zoonotic Dis ; 21(11): 900-909, 2021 11.
Article in English | MEDLINE | ID: covidwho-1532426

ABSTRACT

Background: A wide range of insect-specific viruses (ISVs) have been reported worldwide. There are no studies from India that have reported ISVs. The current study describes the identification of Phasi Charoen-like virus (PCLV) from Aedes aegypti mosquito-pools from six districts of Karnataka state, India. Materials and Methods: During the Chikungunya virus (CHIKV) outbreak in the Bangalore Urban district in 2019, using conventional PCR, it was found that both human and mosquito samples were positive for CHIKV. For retrieve the complete genome sequence, mosquito samples were subjected to next generation sequencing (NGS) analysis and PCLV was also found. During 2019, as part of a vector-borne disease surveillance, we received 50 mosquito pool samples from 6 districts of the state, all of them were subjected to NGS to identify PCLV. Results: The A. aegypti mosquito-pools samples were subjected to the NGS platform that led to identification of an ISV, PCLV. PCLV was identified in 26 A. aegypti mosquito-pools collected from 6 districts. We also found mixed infection of PCLV with the Dengue virus (DENV; genotypes 1 and 3) and CHIKV from five pools. The nucleotide identity for the L gene of Indian PCLV sequences ranged between 97.1% and 98.3% in comparison with the Thailand sequences. Conclusions: To the best of our knowledge, this is the first report of PCLV dual infection with DENV and CHIKV in India. The present study confirms the presence of PCLV in A. aegypti mosquitoes from Karnataka state. The study adds India in the global geographical distribution of PCLV.


Subject(s)
Aedes , Chikungunya virus , RNA Viruses , Animals , Chikungunya virus/genetics , India/epidemiology , Mosquito Vectors
4.
IJID Reg ; 1: 107-116, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1487759

ABSTRACT

Objective: Demonstrate the feasibility of using the existing sentinel surveillance infrastructure to conduct the second round of the serial cross-sectional sentinel-based population survey. Assess active infection, seroprevalence, and their evolution in the general population across Karnataka. Identify local variations for locally appropriate actions. Additionally, assess the clinical sensitivity of the testing kit used on account of variability of antibody levels in the population. Methods: The cross-sectional study of 41,228 participants across 290 healthcare facilities in all 30 districts of Karnataka was done among three groups of participants (low, moderate, and high-risk). The geographical spread was sufficient to capture local variations. Consenting participants were subjected to real-time reverse transcription-polymerase chain reaction (RT-PCR) testing, and antibody (IgG) testing. Clinical sensitivity was assessed by conducting a longitudinal study among participants identified as COVID-19 positive in the first survey round. Results: Overall weighted adjusted seroprevalence of IgG was 15.6% (95% CI: 14.9-16.3), crude IgG prevalence was 15.0% and crude active infection was 0.5%. Statewide infection fatality rate (IFR) was estimated as 0.11%, and COVID-19 burden estimated between 26.1 to 37.7% (at 90% confidence). Further, Cases-to-infections ratio (CIR) varied 3-35 across units and IFR varied 0.04-0.50% across units. Clinical sensitivity of the IgG ELISA test kit was estimated as ≥38.9%. Conclusion: We demonstrated the feasibility and simplicity of sentinel-based population survey in measuring variations in subnational and local data, useful for locally appropriate actions in different locations. The sentinel-based population survey thus helped identify districts that needed better testing, reporting, and clinical management. The state was far from attaining natural immunity during the survey and hence must step up vaccination coverage and enforce public health measures to prevent the spread of COVD-19.

5.
Viruses ; 13(9)2021 09 07.
Article in English | MEDLINE | ID: covidwho-1430972

ABSTRACT

From March to June 2021, India experienced a deadly second wave of COVID-19, with an increased number of post-vaccination breakthrough infections reported across the country. To understand the possible reason for these breakthroughs, we collected 677 clinical samples (throat swab/nasal swabs) of individuals from 17 states/Union Territories of the country who had received two doses (n = 592) and one dose (n = 85) of vaccines and tested positive for COVID-19. These cases were telephonically interviewed and clinical data were analyzed. A total of 511 SARS-CoV-2 genomes were recovered with genome coverage of higher than 98% from both groups. Analysis of both groups determined that 86.69% (n = 443) of them belonged to the Delta variant, along with Alpha, Kappa, Delta AY.1, and Delta AY.2. The Delta variant clustered into four distinct sub-lineages. Sub-lineage I had mutations in ORF1ab A1306S, P2046L, P2287S, V2930L, T3255I, T3446A, G5063S, P5401L, and A6319V, and in N G215C; Sub-lineage II had mutations in ORF1ab P309L, A3209V, V3718A, G5063S, P5401L, and ORF7a L116F; Sub-lineage III had mutations in ORF1ab A3209V, V3718A, T3750I, G5063S, and P5401L and in spike A222V; Sub-lineage IV had mutations in ORF1ab P309L, D2980N, and F3138S and spike K77T. This study indicates that majority of the breakthrough COVID-19 clinical cases were infected with the Delta variant, and only 9.8% cases required hospitalization, while fatality was observed in only 0.4% cases. This clearly suggests that the vaccination does provide reduction in hospital admission and mortality.


Subject(s)
COVID-19/epidemiology , COVID-19/virology , Genome, Viral , Genomics , SARS-CoV-2/genetics , Adult , COVID-19/diagnosis , Comorbidity , Disease Outbreaks , Female , Geography, Medical , High-Throughput Nucleotide Sequencing , Humans , India/epidemiology , Male , Middle Aged , Phylogeny , Public Health Surveillance , SARS-CoV-2/classification
7.
Int J Infect Dis ; 108: 27-36, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1351699

ABSTRACT

OBJECTIVE: To estimate the burden of active infection and anti-SARS-CoV-2 IgG antibodies in Karnataka, India, and to assess variation across geographical regions and risk groups. METHODS: A cross-sectional survey of 16,416 people covering three risk groups was conducted between 3-16 September 2020 using the state of Karnataka's infrastructure of 290 healthcare facilities across all 30 districts. Participants were further classified into risk subgroups and sampled using stratified sampling. All participants were subjected to simultaneous detection of SARS-CoV-2 IgG using a commercial ELISA kit, SARS-CoV-2 antigen using a rapid antigen detection test (RAT) and reverse transcription-polymerase chain reaction (RT-PCR) for RNA detection. Maximum-likelihood estimation was used for joint estimation of the adjusted IgG, active and total prevalence (either IgG or active or both), while multinomial regression identified predictors. RESULTS: The overall adjusted total prevalence of COVID-19 in Karnataka was 27.7% (95% CI 26.1-29.3), IgG 16.8% (15.5-18.1) and active infection fraction 12.6% (11.5-13.8). The case-to-infection ratio was 1:40 and the infection fatality rate was 0.05%. Influenza-like symptoms or contact with a COVID-19-positive patient were good predictors of active infection. RAT kits had higher sensitivity (68%) in symptomatic people compared with 47% in asymptomatic people. CONCLUSION: This sentinel-based population survey was the first comprehensive survey in India to provide accurate estimates of the COVID-19 burden. The findings provide a reasonable approximation of the population immunity threshold levels. Using existing surveillance platforms coupled with a syndromic approach and sampling framework enabled this model to be replicable.


Subject(s)
COVID-19 , Antibodies, Viral , Cross-Sectional Studies , Humans , Immunoglobulin G , India/epidemiology , Prevalence , SARS-CoV-2
8.
Viruses ; 13(5)2021 05 17.
Article in English | MEDLINE | ID: covidwho-1234829

ABSTRACT

The number of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) cases is increasing in India. This study looks upon the geographic distribution of the virus clades and variants circulating in different parts of India between January and August 2020. The NPS/OPS from representative positive cases from different states and union territories in India were collected every month through the VRDLs in the country and analyzed using next-generation sequencing. Epidemiological analysis of the 689 SARS-CoV-2 clinical samples revealed GH and GR to be the predominant clades circulating in different states in India. The northern part of India largely reported the 'GH' clade, whereas the southern part reported the 'GR', with a few exceptions. These sequences also revealed the presence of single independent mutations-E484Q and N440K-from Maharashtra (first observed in March 2020) and Southern Indian States (first observed in May 2020), respectively. Furthermore, this study indicates that the SARS-CoV-2 variant (VOC, VUI, variant of high consequence and double mutant) was not observed during the early phase of virus transmission (January-August). This increased number of variations observed within a short timeframe across the globe suggests virus evolution, which can be a step towards enhanced host adaptation.


Subject(s)
COVID-19/epidemiology , Phylogeography/methods , SARS-CoV-2/genetics , Adult , COVID-19/genetics , Female , Genome, Viral/genetics , Genomics/methods , High-Throughput Nucleotide Sequencing/methods , Humans , India/epidemiology , Male , Middle Aged , Mutation/genetics , Phylogeny , SARS-CoV-2/pathogenicity
10.
Indian J Med Res ; 151(2 & 3): 216-225, 2020.
Article in English | MEDLINE | ID: covidwho-32576

ABSTRACT

Background & objectives: An outbreak of respiratory illness of unknown aetiology was reported from Hubei province of Wuhan, People's Republic of China, in December 2019. The outbreak was attributed to a novel coronavirus (CoV), named as severe acute respiratory syndrome (SARS)-CoV-2 and the disease as COVID-19. Within one month, cases were reported from 25 countries. In view of the novel viral strain with reported high morbidity, establishing early countrywide diagnosis to detect imported cases became critical. Here we describe the role of a countrywide network of VRDLs in early diagnosis of COVID-19. Methods: The Indian Council of Medical Research (ICMR)-National Institute of Virology (NIV), Pune, established screening as well as confirmatory assays for SARS-CoV-2. A total of 13 VRDLs were provided with the E gene screening real-time reverse transcription-polymerase chain reaction (rRT-PCR) assay. VRDLs were selected on the basis of their presence near an international airport/seaport and their past performance. The case definition for testing included all individuals with travel history to Wuhan and symptomatic individuals with travel history to other parts of China. This was later expanded to include symptomatic individuals returning from Singapore, Japan, Hong Kong, Thailand and South Korea. Results: Within a week of standardization of the test at NIV, all VRDLs could initiate testing for SARS-CoV-2. Till February 29, 2020, a total of 2,913 samples were tested. This included both 654 individuals quarantined in the two camps and others fitting within the case definition. The quarantined individuals were tested twice - at days 0 and 14. All tested negative on both occasions. Only three individuals belonging to different districts in Kerala were found to be positive. Interpretation & conclusions: Sudden emergence of SARS-CoV-2 and its potential to cause a pandemic posed an unsurmountable challenge to the public health system of India. However, concerted efforts of various arms of the Government of India resulted in a well-coordinated action at each level. India has successfully demonstrated its ability to establish quick diagnosis of SARS-CoV-2 at NIV, Pune, and the testing VRDLs.


Subject(s)
Clinical Laboratory Techniques/standards , Coronavirus Infections/diagnosis , Mass Screening/organization & administration , Pneumonia, Viral/diagnosis , Adolescent , Adult , Aged , Betacoronavirus , COVID-19 , COVID-19 Testing , COVID-19 Vaccines , Child , Child, Preschool , Female , Humans , India , Infant , Male , Middle Aged , Pandemics , Quality Control , Real-Time Polymerase Chain Reaction/standards , Reverse Transcriptase Polymerase Chain Reaction/standards , SARS-CoV-2 , Specimen Handling , Young Adult
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