Siju Susan Jacob

ORCID: 0000-0002-0254-0102
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About
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Research Areas
  • Vector-Borne Animal Diseases
  • Vector-borne infectious diseases
  • Viral Infections and Vectors
  • Helminth infection and control
  • Parasitic Infections and Diagnostics
  • Parasite Biology and Host Interactions
  • Coccidia and coccidiosis research
  • Animal Disease Management and Epidemiology
  • Trypanosoma species research and implications
  • Parasites and Host Interactions
  • Parasitic infections in humans and animals
  • Plant Virus Research Studies
  • Mosquito-borne diseases and control
  • Effects of Environmental Stressors on Livestock
  • RNA and protein synthesis mechanisms
  • Microbial infections and disease research
  • Viral gastroenteritis research and epidemiology
  • Mycobacterium research and diagnosis
  • Plant Disease Resistance and Genetics
  • Bird parasitology and diseases
  • Genomics and Phylogenetic Studies
  • Zoonotic diseases and public health
  • Genetic and phenotypic traits in livestock
  • Livestock Management and Performance Improvement
  • Hemiptera Insect Studies

National Institute Of Veterinary Epidemiology And Disease Informatics
2018-2025

Indian Veterinary Research Institute
2013-2024

Indian Council of Agricultural Research
2021-2023

Amrita Vishwa Vidyapeetham
2022

National Research Centre on Mithun
2019

Sri Ramakrishna Institute of Paramedical Sciences
2006

Royal Brisbane and Women's Hospital
2000

The University of Queensland
2000

The present study on theileriosis prevalence in cattle and buffaloes of India was reckoned by systematic review meta-analysis. studies reported during the period 1984-2019, were collected using online databases, offline literature meta-analyses done R-Software. 20% [95% level, CI 16-25%, PI 2-74%], obtained 70,688 samples. increasing trend observed recent [2011-19] when compared to past years. A higher Central zone [24%] than other zones observed. state-wise analysis revealed a Puducherry...

10.56093/ijans.v91i4.114331 article EN cc-by-nc-sa The Indian Journal of Animal Sciences 2021-08-25

Lumpy skin disease (LSD) is a re-emerging viral transboundary affecting cattle and buffaloes, resulting in significant socio-economic impact on the affected regions. LSD primarily transmitted among susceptible livestock through hematophagous vectors, including ticks flies. Ticks also function as reservoirs for various haemoprotozoan parasites, increasing likelihood of coinfections animals. This study investigates comorbidity associated risk factors using diverse datasets. A total 414 samples...

10.3390/microorganisms13030472 article EN cc-by Microorganisms 2025-02-20

Abstract Background Ectoparasitic infestations, particularly lice, are a major challenge to goat farming in India, leading significant economic losses through reduced productivity and increased mortality. The most common lice species identified goats Bovicola caprae (biting louse) Linognathus africanus (sucking louse), as determined by morphological keys. This study provides the first comprehensive molecular characterization of collected from Indian goats, shedding light on their potential...

10.1186/s41936-025-00434-9 article EN cc-by The Journal of Basic and Applied Zoology 2025-03-01

Helminth infections in the mithun Bos frontalis, including liver fluke Fasciola gigantica, hepato-gastric amphistomes Explanatum explanatum, Paramphistomum epiclitum and Calicophoron calicophorum, cestodes Echinococcus granulosus E. ortleppi were studied north-east India over a 2-year period from 2012 to 2014. Cystic echinococcosis caused by was found be highly prevalent mithun, with being reported for first time. Molecular markers, internal transcribed spacer 2 (ITS-2), 28S rDNA...

10.1017/s0022149x15000772 article EN Journal of Helminthology 2015-09-07

Anthrax, a globally significant disease, poses substantial threats to both livestock and human populations. Timely identification of anthrax outbreaks is paramount mitigate its impact on animal health, public safety. This study aims construct predictive model for disease occurrence. By leveraging the potential advanced Machine-Learning techniques, we projected likelihood across India, through incorporating diverse set meteorological, remote sensing parameters. The ultimate goal establish...

10.9734/ijecc/2024/v14i34059 article EN International Journal of Environment and Climate Change 2024-03-18
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