The DOI matches its Crossref record.
Outbreak Investigation of Nipah Virus Disease in Kerala, India, 2018
Open accessAbstract
BACKGROUND: Nipah Virus (NiV) is a highly fatal emerging zoonotic virus and a potential threat to global health security. Here we describe the characteristics of the NiV outbreak that occurred in Kerala, India, during May-June 2018. METHODS: We used real-time reverse transcription polymerase chain reaction analysis of throat swab, blood, urine, and cerebrospinal fluid specimens to detect NiV. Further, the viral genome was sequenced and subjected to phylogenetic analysis. We conducted an epidemiologic investigation to describe the outbreak and elucidate the dynamics of NiV transmission. RESULTS: During 2-29 May 2018, 23 cases were identified, including the index case; 18 were laboratory confirmed. The lineage of the NiV responsible for this outbreak was closer to the Bangladesh lineage. The median age of cases was 45 years; the sex of 15 (65%) was male. The median incubation period was 9.5 days (range, 6-14 days). Of the 23 cases, 20 (87%) had respiratory symptoms. The case-fatality rate was 91%; 2 cases survived. Risk factors for infection included close proximity (ie, touching, feeding, or nursing a NiV-infected person), enabling exposure to droplet infection. The public health response included isolation of cases, contact tracing, and enforcement of hospital infection control practices. CONCLUSION: This is the first recorded NiV outbreak in South India. Early laboratory confirmation and an immediate public health response contained the outbreak.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nipah Virus: Past Outbreaks and Future Containment
Soman Pillai, V., Krishna, G., & Valiya Veettil, M. (2020) · Viruses · doi:10.3390/v12040465 · Cited by 194
Madera, S., Kistler, A., Ranaivoson, H. C., Ahyong, V., Andrianiaina, A., Andry, S., Raharinosy, V., Randriambolamanantsoa, T. H., Ravelomanantsoa, N. A. F., Tato, C. M., et al. (2022) · Journal of Virology · doi:10.1128/jvi.00921-22 · Cited by 74
Common and potential emerging foodborne viruses: a comprehensive review
Olaimat, A., Taybeh, A., Al-Nabulsi, A., Al-Holy, M., Hatmal, M., Alzyoud, J., Aolymat, I., Abughoush, M., Shahbaz, H., Alzyoud, A., et al. (2024) · Life · doi:10.3390/life14020190 · Cited by 52
Structure and design of Langya virus glycoprotein antigens
Wang, Z., McCallum, M., Yan, L., Gibson, C. A., Sharkey, W., Park, Y.-J., Dang, H. V., Amaya, M., Person, A., Broder, C. C., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2314990121 · Cited by 32
Griffin, B. D., Leung, A., Chan, M., Warner, B. M., Ranadheera, C., Tierney, K., Audet, J., Frost, K. L., Safronetz, D., Embury-Hyatt, C., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-47549-y · Cited by 26
Metadata
- Authors
- Arunkumar, G., Chandni, R., Mourya, D. T., Singh, S. K., Sadanandan, R., Sudan, P., Bhargava, B., Nipah Investigators People and Health Study Group, Gangakhedkar, R. R., Gupta, N., Bhargava, B., Mourya, D. T., Yadav, P. D., Shete, A. M., Sahay, R., Sudeep, A., Bharadwaj, S., Sugunan, A. P., Manickam, P., Bhatnagar, T., Murhekar, M., Arunkumar, G., Abdulmajeed, J., Aswathyraj, S., Santhosha, D., Anup, J., Sudheesh, N., Anitha, J., Robin, S., Sabeena, S., Shakir, M., Sarthak, P., Suresh, P., Maity, H., Sheik, S., Shilpa, C., Karunakaran, K., Anjali, A., Kumar, S., Venkatesh, S., Ravindran, P., Singh, S. K., Gupta, N., Kulkarni, S., Raghu, K., Ali, M. K. S., Jain, R., Chandra, R., Kiran, J., Khasnobis, P., Jain, S. K., Reddy, S. E., Sadanandan, R., Naveen, A., Arjun, C. M., Rajendran, N., Akhilesh, K., Latheesh, K. V., Bijoy, E., Asha, D., Ismail, M., Sukumaran, A., Amar, F., Sakeena, K., Jayasree, V., Reena, K. J., Sarita, R. L., Kumar, K., Sreejith, M. K., Kuriakose, K. M., Beena, P., Ponnuthambi, S., Lilabi, M. P., Bina, T., Chandni, R., Kumar, K. G. S., Rajendran, V. R., Gopakumar, R. S., Michael, C. J., Indu, P. S., Mohandas, A. C., Zachariah, A., Jose, U. V., Meena, A., Devadasan, N., Kumar, A. S. A., & Ghafur, A.
- Venue
- The Journal of Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-26
- Volume
- 219
- Issue
- 12
- Pages
- 1867-1878
- ISSN
- 0022-1899 (ISSN-L)
- 1537-6613
- OpenAlex
- W2898253361
- Cited by
- 329
- References
- 0
- FWCI
- 19.77
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
