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1.
Indian J Med Microbiol ; 45: 100384, 2023.
Article in English | MEDLINE | ID: mdl-37573057

ABSTRACT

PURPOSE: Compared to nasopharyngeal/oropharyngeal swabs (N/OPS-VTM), non-invasive saliva samples have enormous potential for scalability and routine population screening of SARS-CoV-2. In this study, we investigate the efficacy of saliva samples relative to N/OPS-VTM for use as a direct source for RT-PCR based SARS-CoV-2 detection. METHODS: We collected paired nasopharyngeal/oropharyngeal swabs and saliva samples from suspected positive SARS-CoV-2 patients and tested using RT-PCR. We used generalized linear models to investigate factors that explain result agreement. Further, we used simulations to evaluate the effectiveness of saliva-based screening in restricting the spread of infection in a large campus such as an educational institution. RESULTS: We observed a 75.4% agreement between saliva and N/OPS-VTM, that increased drastically to 83% in samples stored for less than three days. Such samples processed within two days of collection showed 74.5% test sensitivity. Our simulations suggest that a test with 75% sensitivity, but high daily capacity can be very effective in limiting the size of infection clusters in a workspace. Guided by these results, we successfully implemented a saliva-based screening in the Bangalore Life Sciences Cluster (BLiSC) campus. CONCLUSION: These results suggest that saliva may be a viable alternate source for SARS-CoV-2 surveillance if samples are processed immediately. Although saliva shows slightly lower sensitivity levels when compared to N/OPS-VTM, saliva collection is logistically advantageous. We strongly recommend the implementation of saliva-based screening strategies for large workplaces and in schools, as well as for population-level screening and routine surveillance as we learn to live with the SARS-CoV-2 virus.


Subject(s)
COVID-19 , Saliva , Humans , SARS-CoV-2 , Cost-Benefit Analysis , COVID-19/diagnosis , India , Nasopharynx , Specimen Handling
3.
PLoS Negl Trop Dis ; 15(3): e0009178, 2021 03.
Article in English | MEDLINE | ID: mdl-33705398

ABSTRACT

Bartonella species are recognized globally as emerging zoonotic pathogens. Small mammals such as rodents and shrews are implicated as major natural reservoirs for these microbial agents. Nevertheless, in several tropical countries, like India, the diversity of Bartonella in small mammals remain unexplored and limited information exists on the natural transmission cycles (reservoirs and vectors) of these bacteria. Using a multi-locus sequencing approach, we investigated the prevalence, haplotype diversity, and phylogenetic affinities of Bartonella in small mammals and their associated mites in a mixed-use landscape in the biodiverse Western Ghats in southern India. We sampled 141 individual small mammals belonging to eight species. Bartonella was detected in five of the eight species, including three previously unknown hosts. We observed high interspecies variability of Bartonella prevalence in the host community. However, the overall prevalence (52.5%) and haplotype diversity (0.9) was high for the individuals tested. Of the seven lineages of Bartonella identified in our samples, five lineages were phylogenetically related to putative zoonotic species-B. tribocorum, B. queenslandensis, and B. elizabethae. Haplotypes identified from mites were identical to those identified from their host species. This indicates that these Bartonella species may be zoonotic, but further work is necessary to confirm whether these are pathogenic and pose a threat to humans. Taken together, these results emphasize the presence of hitherto unexplored diversity of Bartonella in wild and synanthropic small mammals in mixed-use landscapes. The study also highlights the necessity to assess the risk of spillover to humans and other incidental hosts.


Subject(s)
Bartonella Infections/veterinary , Bartonella/classification , Mammals/microbiology , Mites/microbiology , Animals , Bartonella/genetics , Bartonella Infections/epidemiology , DNA, Bacterial , Haplotypes/genetics , India/epidemiology , Mammals/parasitology , Mite Infestations/veterinary , Phylogeny , Polymerase Chain Reaction , Prevalence
4.
J Indian Inst Sci ; 100(4): 701-716, 2020.
Article in English | MEDLINE | ID: mdl-33100615

ABSTRACT

Health Heatmap of India is an open data platform built for bringing together data from diverse sources and facilitating visualization, analysis, and insight building from such data. In this paper, we describe the context and need for such an open data platform and describe the technical aspects of building it. The beta site of the portal is available at https://healthheatmapindia.org.

5.
PLoS Negl Trop Dis ; 13(10): e0007733, 2019 10.
Article in English | MEDLINE | ID: mdl-31671094

ABSTRACT

Bats are reservoirs for several zoonotic pathogens, including filoviruses. Recent work highlights the diversity of bat borne filoviruses in Asia. High risk activities at the bat-human interface pose the threat of zoonotic virus transmission. We present evidence for prior exposure of bat harvesters and two resident fruit bat species to filovirus surface glycoproteins by screening sera in a multiplexed serological assay. Antibodies reactive to two antigenically distinct filoviruses were detected in human sera and to three individual filoviruses in bats in remote Northeast India. Sera obtained from Eonycteris spelaea bats showed similar patterns of cross-reactivity as human samples, suggesting them as the species responsible for the spillover. In contrast, sera from Rousettus leschenaultii bats reacted to two different virus glycoproteins. Our results indicate circulation of several filoviruses in bats and the possibility for filovirus transmission from bats to humans.


Subject(s)
Antibodies, Viral/blood , Chiroptera/immunology , Chiroptera/virology , Disease Reservoirs/virology , Filoviridae Infections/epidemiology , Filoviridae Infections/veterinary , Filoviridae/immunology , Adolescent , Adult , Animals , Chiroptera/blood , Ebolavirus/immunology , Filoviridae/classification , Filoviridae/isolation & purification , Filoviridae Infections/immunology , Filoviridae Infections/virology , Geographic Mapping , Glycoproteins/immunology , Humans , India/epidemiology , Membrane Glycoproteins , Middle Aged , Phylogeny , Seroepidemiologic Studies , Young Adult
6.
Zootaxa ; 3640: 177-99, 2013.
Article in English | MEDLINE | ID: mdl-26000411

ABSTRACT

Amphibian diversity in the Western Ghats-Sri Lanka biodiversity hotspot is extremely high, especially for such a geographically restricted area. Frogs in particular dominate these assemblages, and the family Rhacophoridae is chief among these, with hundreds of endemic species. These taxa continue to be described at a rapid pace, and several groups have recently been found to represent unique evolutionary clades at the genus level. Here, we report DNA sequences, larval and breeding data for two species of rhacophorid treefrog (Polypedates bijui and a new, hitherto undescribed species). Remarkably, they represent unique, independent clades which form successive sister groups to the Pseudophilautus (Sri Lanka) + Raorchestes (India, China & Indochina) clades. We place these species into two new genera (Beddomixalus gen. nov. and Mercurana gen. nov.). Both of these genera exhibit a distinct reproductive mode among Rhacophoridae of peninsular India and Sri Lanka, with explosive breeding and semiterrestrial, unprotected, non-pigmented eggs oviposited in seasonal swamp pools, which hatch into exotrophic, free-living aquatic tadpoles. Relationships and representation of reproductive modes in sister taxa within the larger clade into which these novel genera are placed, is also discussed. These results suggest that more undescribed taxa may remain to be discovered in South Asia, and the crucial importance of conserving remaining viable habitats.


Subject(s)
Anura/classification , Amphibian Proteins/genetics , Animal Distribution , Animal Structures/anatomy & histology , Animals , Anura/anatomy & histology , Anura/genetics , Female , India , Male , Molecular Sequence Data , Phylogeny
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