What is he best known for?
The fields of study he is best known for:
His main research concerns Veterinary medicine, Mastitis, Herd, Dairy cattle and Subclinical infection.
The various areas that Tariq Hisham Beshara Halasa examines in his Veterinary medicine study include Meta-analysis, Epidemiology, Disease and Environmental health.
His Mastitis studies intersect with other subjects such as Somatic cell count and Economic analysis.
Tariq Hisham Beshara Halasa integrates Herd and Livestock in his studies.
Tariq Hisham Beshara Halasa has researched Subclinical infection in several fields, including Streptococcus uberis and Animal science.
He interconnects Udder and Culling in the investigation of issues within Streptococcus uberis.
His most cited work include:
- Economic effects of bovine mastitis and mastitis management: a review. (568 citations)
- Source attribution of human campylobacteriosis using a meta-analysis of case-control studies of sporadic infections. (149 citations)
- Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model (109 citations)
What are the main themes of his work throughout his whole career to date?
Tariq Hisham Beshara Halasa mainly focuses on Veterinary medicine, Herd, Mastitis, Dairy cattle and Danish.
Many of his research projects under Veterinary medicine are closely connected to Livestock and Intramammary infection with Livestock and Intramammary infection, tying the diverse disciplines of science together.
His study on Culling is often connected to Somatic cell count as part of broader study in Herd.
The Mastitis study combines topics in areas such as Subclinical infection, Incidence and Antibiotics.
His Epidemiology study incorporates themes from Infectious disease and African swine fever.
His Foot-and-mouth disease study, which is part of a larger body of work in Outbreak, is frequently linked to Demography, bridging the gap between disciplines.
He most often published in these fields:
- Veterinary medicine (53.75%)
- Herd (55.00%)
- Mastitis (29.37%)
What were the highlights of his more recent work (between 2017-2021)?
- Herd (55.00%)
- Veterinary medicine (53.75%)
- Mastitis (29.37%)
In recent papers he was focusing on the following fields of study:
Tariq Hisham Beshara Halasa spends much of his time researching Herd, Veterinary medicine, Mastitis, Danish and Dairy cattle.
His work in the fields of Dairy herds overlaps with other areas such as Indirect Transmission.
His Veterinary medicine research includes elements of Antibiotic resistance and Severe acute respiratory syndrome coronavirus 2.
His study in the field of Udder also crosses realms of Somatic cell count and Microbiological culture.
His work in Dairy cattle addresses subjects such as Incidence, which are connected to disciplines such as Milking.
Tariq Hisham Beshara Halasa focuses mostly in the field of Culling, narrowing it down to topics relating to Subclinical infection and, in certain cases, Streptococcus uberis.
Between 2017 and 2021, his most popular works were:
- SARS-CoV-2 Transmission between Mink (Neovison vison) and Humans, Denmark. (42 citations)
- Infection of pigs with African swine fever virus via ingestion of stable flies (Stomoxys calcitrans) (37 citations)
- Short time window for transmissibility of African swine fever virus from a contaminated environment (27 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Virus
- Internal medicine
His primary scientific interests are in Herd, Veterinary medicine, Mastitis, Virus and African swine fever.
His Herd research focuses on Environmental health and how it relates to Epidemiology and Sensitivity analyses.
Tariq Hisham Beshara Halasa connects Veterinary medicine with Danish in his research.
As part of his studies on Mastitis, Tariq Hisham Beshara Halasa frequently links adjacent subjects like Dairy cattle.
His Dairy cattle research is multidisciplinary, relying on both Culling and Milk production.
His African swine fever study combines topics from a wide range of disciplines, such as Zoology, Notifiable disease and Biological dispersal.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
