eChapters

Introduction
Infection prevention and control refers to prevention and control of infections and their transmission in healthcare settings. Healthcare Associated Infections (HAI) are one of the most common adverse events in delivery of care and a major public health problem with an impact on morbidity, mortality and quality of life. Up to 7% of patients in developed and 10% in developing countries acquire at least one HAI. These infections also present a significant economic burden for the health system.1It is evident that HAIs result in prolonged hospital stays, long-term disability, increased resistance of microorganisms to antimicrobials, additional cost on health systems, high cost for patients and their family, and preventable deaths.
The core components of IPC2
• IPC programme at the national and health facility level
• National and facility level evidence-based guidelines on IPC
• Education and training
• HAI surveillance
• Multimodal strategies
• Monitoring and audit of IPC practices and feedback
• Workload, staffing and bed occupancy
• Built environment, materials and equipment for IPC
HAI Burden
HAI are one of the most common adverse events in healthcare delivery and a major public health problem with an impact on morbidity, mortality and

Infection refers to the invasion of harmful microorganisms into the body and causing disease. The most important function of the immune system is to protect the body of the host against various viruses, bacteria, fungi and parasites. The grounds of immune surveillance stand on the basis of innate and specific immunity that build up against the evasive mechanisms of the disease causing organisms. Infectious disease is result of a complex interaction between  the host and the microbes. Evasions of protective immunity by the parasites critically determine the survival and pathogenicity of the microbes. The invasion of the body by harmful microorganisms is called infection. Infections are dangerous in any part of the body. Microorganisms spread vary easily into the blood stream and cause blood poisoning which is called septicemia.

Bacteria can be defined as a group of diverse and ubiquitous prokaryotic single cell microorganisms. The size of bacteria varies with genera/species. In cocci the diameter varies between 0.5-1 µm. The measurement of bacillus / rod shaped bacteria is 4-8 µm ? 1-1.25 µm. The surface area and volume ratio of bacteria is very high. The nutrients are absorbed through a large surface area and it is rapidly distributed into a small volume. So the growth rate and metabolism of bacteria is very high. The bacterial cell mass is packed near the surface and no circulatory system is required to distribute the nutrients. The growth and metabolism rate of bacilli are more than cocci because surface area and volume ratio of a sphere (cocci) is lowest among all the geometrical forms.

Shape of bacteria

The shape of bacteria is mostly regulated by the rigid cell wall covering the bacteria. Different shapes of bacteria are observed.

N    :    Avogadro’s number.

N    :    Nano (10^-9m).

N&M    :    Nerves and muscles.
   
N&T    :    Nose and throat.

N&V    :    Nausea and vomiting.
    
NA    :    Nucleic acid.

Reliable artificial intelligence depends on accurate, timely and multidimensional livestock data. This chapter examines the transition from manual record-keeping to sensor-based systems that capture physiological, behavioural, production and environmental information. Data sources include wearable devices, IoT monitoring networks, computer-vision systems and environmental sensors. Their applications include monitoring health, welfare, movement, feeding and productivity. The chapter also considers the integration of heterogeneous datasets and persistent challenges involving missing values, noise, interoperability, scalability and system reliability. By connecting data generation with intelligent analysis, it emphasizes that robust acquisition protocols and dependable infrastructure are essential for developing effective, evidence-based and responsive livestock-management systems.

Cloud computing and Edge AI provide complementary infrastructure for intelligent livestock management. Cloud platforms offer scalable storage, centralized analytics, model training and integration of data from sensors, cameras, automated feeders and farm-information systems. Edge AI processes information close to the farm, reducing latency, bandwidth consumption and response time. This chapter explains their architectures, workflows and applications in dairy, poultry, swine and small-ruminant production. Uses include disease detection, estrus prediction, behavioural monitoring, feeding and environmental control. Hybrid cloud-edge systems balance centralized intelligence with local autonomy. Challenges involving connectivity, interoperability, cybersecurity, cost, model reliability and ethical animal surveillance are also critically examined.

The reclassification of the order Rickettsiales was predicated upon comprehensive genetic analyses of 16S rRNA, groESL, and surface protein genes. Consequently, organisms within this order were systematically assigned to one of two families: Anaplasmataceae and Rickettsiaceae. Within the Anaplasmataceae family, phylogenetic analyses consistently delineated four genetically distinct clades: (1) Anaplasma, (2) Ehrlichia, (3) Wolbachia, and (4) Neorickettsia. Despite the obligate intracellular nature of rickettsial organisms in both families, those classified under Rickettsiaceae proliferate freely within
the host cell cytoplasm, whereas members of the Anaplasmataceae family are confined exclusively to membrane-bound vacuoles within the cytoplasm of host cells.
The first documented cases of anaplasmosis trace back to the late 19th century in South Africa. However, it wasn’t until 1910 that the causative agent of the disease was conclusively identified morphologically as “marginal points” within red blood cells by Max Theiler, later named it Anaplasma marginale. A year later, he identified another species, A. centrale, which caused a milder form of the disease in cattle. During the 1930s, Sanborn, Stiles, and Moc demonstrated the mechanical transmission of A. marginale by horse flies and stable flies. In the late 1980s, the life cycle of A. marginale was fully elucidated in ticks belonging to the genus Dermacentor.

There are number of internal and external factors that affect the production performance of animals, among which parasites and parasitism are major of concern constraints to animal’s productivity especially in tropical countries. Feed intake and nutrient requirements have been recognized for long time as an important parameter for determining the efficiency of animal production. Most of the parasitic infection in domestic animals is caused by gastrointestinal nematode, which may result in depression in appetite, impairment in GI functions, alteration in protein, energy and mineral metabolism and changes in water balance. Nutrition can affect the ability of the host to cope with the consequences of parasitism and to contain and eventually to overcome parasitism. Since it is proposed that the host gives priority to the reversal of the pathophysiological consequences of parasitism over other body functions, it is to be expected that improved nutrition will always lead to improved resilience. On the other hand, it is proposed that the function of growth, pregnancy and lactation are prioritized over the expression of immunity. Improved nutrition may affect the degree of expression of immunity during these phases and can thus influence the resilience and resistance of host to parasite infection.

1    General post mortem examination and detection of date and time of death

2    Pathogenomonic lesions of different diseases

3    Livestock insurance

4    Pet-dog insurance

1665 Robert Hooke had successfully invented the microscope. Because of this discovery, Robert Hooke was the first one to have a close look of a cell appears to be. His description of these cells was published in Micrographia. However, the cell walls observed by Hooke gave no indication of the nucleus and other organelles found in most living cells.

1674 Anton van Leeuwenhoek witnessed a live cell (plant) under a microscope.

1775 Antoine Lavoisier first proposed a mechanism for photosynthesis, a process wherein plants plants take in carbon dioxide and release oxygen. Lavoisier was also the first to investigate cell respiration in animals.

1777-83 Chemistry became dominated by the phlogiston theory, or the hypothetical principle of fire wherein all the combustible material was part composed. In this principle, burning (oxidation) was caused by liberating phlogiston, with ash as the dephlogistigated substance.

1836 The proponent of the cell theory in Biology, Theodore Schwann, proposed that the process of fermentation is solely limited to living yeast cells in 1836. Liebig did not agree to this and instead, he proposed another alternative theory of fermentation.

1856 Louis Pasteur opposed Liebig’s chemical theory. In his experiment, he showed that fermentation depends highly on the physiological functions that occur in bacteria and in living yeast cells. This work of Pasteur in 1856 received general recognition.

1860s The view on the chemistry of life highly different from the chemistry of nonliving things. During this period, the view is that the gelatinous and homogenous form of matter in organisms or more commonly known as the protoplasm carries out all the intracellular processes. These include respiration, biosynthesis of molecules, and the breakdown of matter.

F    :    Faraday constant. OR Food - represents BOD in the F/M ratio. Expressed in pounds.

F factor    :    The fertility factor, a plasmid that carries the genes for bacterial conjugation and makes its E. coli host cell the gene donor during conjugation. OR A large bacterial plasmid, known as the sex-factor plasmid because it permits mating between F+ and F- bacteria. 

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Metabolomic research depends on analytical technologies capable of detecting and characterizing large numbers of chemically diverse metabolites. This chapter introduces the principal analytical platforms used for metabolite analysis, with emphasis on mass spectrometry and nuclear magnetic resonance spectroscopy. Gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, capillary electrophoresis–mass spectrometry, and NMR are examined in relation to metabolite separation, identification, and quantification. The chapter also considers sample preparation, analytical workflows, advantages and limitations of different platforms, and complementary approaches for achieving broader metabolome coverage. These techniques provide the analytical foundation for metabolic profiling, biomarker discovery, pathway analysis, and systems-level biological investigations.

The essential nutrients and their function in microbial cells

A. Answer the following.

Q.1.     How lysozyme kills Gram + and Gram – bacteria ?
Ans.     Lysozyme kills Gram + bacteria by splitting cell wall proteoglycans and Gram – bacteria in conjunction with complement.

Q.2.     Describe the different forms of leprosy ?
Ans.     Leprosy occurs in two different forms (1) tuberculoid (2) lepromatous. Tuberculoid leprosy occurs in 80% cases. Tuberculoid leprosy patients mount a strong CMI response. These patients have few organisms in their tissues and therefore few lesions. The lesions are infiltrated with macrophages and patients show a positive delayed type hypersensitivity reaction to I/D

Drugs acting on alimentary system

Drugs acting on respiratory system

Drugs acting on urinary system

Drugs acting on genital system

Drugs acting on musculoskeletal system

Antineoplastic drugs

Antimicrobials

Antifungal

Antiprotozoal

Anthelmintics

G    :    Gibbs free energy OR Guanine.

G proteins    :    G proteins are intracellular proteins that bind GTP and convert it to GDP in the process of cell signal transduction. There are two kinds of G protein, the heterotrimeric (α,β, γ) receptor-associated G proteins, and the small G proteins, such as Ras and Raf, that act downstream of many transmembrane signaling events.

K    :    Kilo (10³g).

K    :    Potassium.

KA    :    Ketoacidosis.

Karlvon Baer    :    Person who‚ in 1828‚ published on the developmental stages in mammalian eggs and showed that an undifferentiated‚ single-celled egg grows into a many-celled embryo.