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Immunization Schedule

The Immunization Schedule refers to the recommended schedule of vaccines and immunizations for individuals, typically based on age, health status, and other factors.
This schedule aims to provide protection against various infectious diseases, such as influenza, measles, and polio, through timely administration of vaccines.
The schedule is developed and updated by health authorities, like the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO), to ensure optimal immune response and disease prevention.
Adhering to the Immunization Schedule is crucial for maintaining individual and community health, as well as preventing the spread of vaccine-preventeble illneses.
Healthcare providers can use this schedule to guide their patients and ensure they receive the appropriate immunizations at the right times.

Most cited protocols related to «Immunization Schedule»

The local community of approximately 200 000 people is of low socio-economic status, live in informal housing or crowded conditions and have high levels of unemployment. Infectious diseases including pneumonia, HIV (antenatal prevalence approximately 30%) and tuberculosis (annual reported incidence 293/100 000) are common. There is a high prevalence of tobacco smoke exposure, alcohol misuse, malnutrition and other poverty-related exposures. Pneumonia is the predominant cause of childhood hospitalisation and death, with the estimated incidence similar to the reported LMIC incidence of 0.22 per child-year in early life.2 (link) The population is stable, with little immigration or emigration. More than 90% of the population access healthcare in the public sector including antenatal and child health services. The public health system comprises 23 primary health clinics and one hospital, Paarl Hospital, where all births and hospital care occur. The well-established, free primary healthcare system provides childhood immunisations including 13-valent pneumococcal and H influenzae b vaccines as part of the national immunisation schedule.
Consenting pregnant women are enrolled from two primary health clinics serving different populations—TC Newman (serving a mixed race population) and Mbekweni (serving a black African population). Pregnant women who are not enrolled are included in a control cohort; these mother–infant pairs are followed annually to compare outcomes with the active cohort.
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Publication 2014
Child Child Health Services Communicable Diseases Ethanol Haemophilus Vaccines Immunization Immunization Schedule Infant Malnutrition Mothers Negroid Races Pneumonia Pregnant Women Public Sector Racial Groups Smoke Tobacco Products Tuberculosis Vaccine, Pneumococcal Polysaccharide
The ZOster ecoNomic Analysis (ZONA) model (Fig. 5) was developed in MS Excel. It is a static multi-cohort Markov model. Cohorts are split into 5 age groups for people aged 50+ years (i.e., 50–59, 60–64, 65–69, 70–79, 80+). If the “50+ years combined” option is selected, the model assumes that all of the subjects in the 50–59, 60–64, 65–69, 70–79 and 80+ age cohorts are vaccinated, as in a one-off ‘catch-up’ campaign, at an age of 50, 60, 65, 70 and 80 y respectively. The model follows all subjects within a cohort over their remaining life-time from the year of vaccination with annual cycle lengths. As such all subjects remain in their initial cohort and all subsequent events are counted in that cohort only. Three different HZ vaccination strategies are compared; no vaccination (control), vaccination with ZVL, and vaccination with HZ/su. Within each vaccine arm/strategy, individuals can be fully compliant with the vaccine dosing schedule, partially compliant or not vaccinated at all, depending on the corresponding vaccine coverage and compliance rates assumed. An overview of the model structure is presented in Fig. 5. Transition probabilities between the health states HZ, natural death, HZ related deaths, recover, recurrent HZ,.. occur using an annual time step. PHN and NON-PHN complications are health states which occur within a HZ episode and as such occur within this annual time step. Probabilities of moving between health states are derived from Germany specific literature and are age-group specific.

Schematic overview of Markov structure – ZONA model. HZ: herpes zoster; PHN: postherpetic neuralgia.

In this analysis 3 age cohorts were considered, i.e., 50–59, 60–69 and 70+ years, i.e., combining results from the 60–64 and 65–69 cohorts and the 70–79 and 80+ cohorts, respectively, for presentation purposes. The age cohorts were selected to capture age-dependent differences in disease incidence, complications, outcomes, costs and potential public health decision making.
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Publication 2017
Age Groups Health Transition Herpes Zoster Human Herpesvirus 3 Immunization Schedule Postherpetic Neuralgia Vaccination Vaccines

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Publication 2020
Allergic Reaction Anus Axilla Conferences CoronaVac Ethics Committees Immunization Schedule Pharynx Placebos Safety SARS-CoV-2 Serum Treatment Protocols Vaccination Vaccines

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Publication 2009
Animals Bites Dental Occlusion Face Foot Head Homo sapiens Human Body Immunization Schedule Injuries Neck Patients Treatment Protocols Trees Vaccines

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Publication 2009
Anemia, Sickle Cell Bacteremia Child Diagnosis Diphtheria Escherichia coli Haemophilus influenzae Haemophilus influenzae type b Haemophilus influenzae type b polysaccharide vaccine Hepatitis B HIV Infections Immunization Schedule Infection Malaria Pentavalent Vaccines Pertussis Pneumococcal Vaccine Salmonella typhi Staphylococcus aureus Infection Streptococcus pneumoniae Toxoid, Tetanus Youth

Most recents protocols related to «Immunization Schedule»

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Publication 2023
Aftercare BNT162B2 COVID 19 Dagan Dietary Fiber Hospitalization Immunization Immunization Schedule Infection mRNA Vaccine Protective Agents Vaccination Vaccine, Pfizer Covid-19 Vaccines

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Publication 2023
COVID-19 Vaccines COVID 19 Immunization Schedule Secondary Immunization Vaccination Vaccines
The 2013–2014 DHS, a nationally representative survey based on a stratified 2-stage cluster design, occurred from November 2013 to February 2014. The first stage of the survey consisted of Enumeration Area formation in which a stratified sample of geographic locations, or clusters (n = 540), was selected with proportional probability according to size. The second stage involved sampling households from each Enumeration Area; complete listings of households were created within each cluster, and households (n = 9000) were selected with equal probability.14 –17 Within the selected households, individuals interviewed included 18,827 women 15–49 years old (all selected households) and 8656 men 15–59 years old (50% of selected households). The DHS collected biomarker data only on children from households in which men were interviewed. In our dataset, there were 812 children 9–59 months old with written (and dated) record of receiving the full 3-dose tetanus vaccine series and who also had anthropometric, measles and tetanus IgG serology data available, and of these, 713 children had data on measles that occurred following DTwPHibHepB vaccination as well as all other covariates of interest. Four of these children who met measles case criteria had had measles less than 2 months before dried blood spot (DBS) collection and so were removed from analyses to prevent associations due to acute measles-induced immune suppression in this study, bringing the final total to 711 children (this total incorporates complex survey weighting methods utilized by the 2013–2014 DRC DHS).
Information was collected on weight, health outcomes, vaccination history and vaccine-preventable disease serology. After parental consent, DBSs were collected from participants to assess immunity to vaccine-preventable diseases and processed at the University of California, Los Angeles (UCLA)—DRC laboratory at the National Laboratory for Biomedical Research in Kinshasa. All survey data were transferred from paper questionnaires to an electronic format using the Census and Survey Processing System (U.S. Census Bureau, ICF Macro). Data were double entered and verified by comparison of both datasets.
At the time of interview, if mothers possessed a health care worker-provided vaccination card indicating the date the child was vaccinated, this was considered a “dated card” report. Since “dated card” reports are considered most reliable, we utilized only this type of report when categorizing a child as vaccinated, whether the vaccination was against tetanus or measles. Children classified as “unvaccinated” in this study were those reported as such in the 2013–2014 DHS. Tetanus vaccination status was obtained via dated vaccination card and limited to children receiving the complete 3-dose vaccination series (all other children were removed from analyses). Due to concern of live versus killed vaccines resulting in nonspecific effects on vaccinees,18 (link) we examined whether the DTwPHibHepB versus measles vaccine was given last within the sample of participating children. Of the 649 children who received both DTwPHibHepB and measles vaccines, 5 (0.1%) children received DTwPHibHepB after the measles vaccine (indicating an incorrect vaccination schedule), 22 (3.3%) children received both vaccines within the same month and 622 (96%) received the measles vaccine after DTwPHibHepB. We did not examine other vaccines a child may have received.
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Publication 2023
Biological Markers Blood Child Health Personnel Households Immunization Schedule Immunosuppression Measles Measles Vaccine Mothers Only Child Response, Immune Toxoid, Tetanus Vaccination Vaccine-Preventable Diseases Vaccines Vaccines, Inactivated Woman
Patients who received at least one dose of the COVID-19 vaccine were classified as “vaccinated”, and those who did not complete the vaccination schedule were classified as “partially vaccinated”. Patients were categorized as “fully vaccinated” if they have received the required dose(s) of a COVID-19 vaccine at least 14 days from the single-dose vaccine or the second dose in the two-doses vaccines. The partially or unvaccinated patients were categorized as “not fully vaccinated” group. Patients who acquire SARS-CoV-2 infection after being fully vaccinated are termed “patients with VBT”.
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Publication 2023
COVID-19 Vaccines COVID 19 Immunization Schedule Patients Secondary Immunization Vaccines
We implemented a sequential exploratory mixed methods study design with a quantitative component preceding the qualitative interviews. In the quantitative component, the children’s demographic details and immunization history were recorded by trained study staff using iDSS. The iDSS used this information to formulate an age-appropriate immunization schedule for the children, and it was recorded on the back end and was not visible to the study staff (or vaccinators). Simultaneously, the study staff also captured the manually constructed immunization schedules determined by the vaccinators as indicated on the child’s government-issued immunization cards. Through this process, we were able to capture both the iDSS and vaccinator schedules simultaneously for the same child (antigen doses). We used this information to assess the diagnostic accuracy of the iDSS algorithm by comparing the age-appropriate immunization schedules constructed by the iDSS for children aged 0 to 23 months with the gold standard of evaluation (WHO-recommended EPI schedule constructed by a vaccine expert). We also independently compared the vaccine schedules constructed manually by the vaccinators for the same children with the gold standard. This allowed us to generate preliminary evidence of MOVs resulting from inaccurate vaccination schedules constructed by vaccinators. This phase was followed by a qualitative phase in which the vaccinators were provided with iDSS-enabled study phones. After vaccinators had a chance to use the iDSS, we conducted in-depth interviews with vaccinators at the participating immunization centers regarding their experience of using the iDSS, its perceived utility, and acceptability.
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Publication 2023
Antigens Child Diagnosis Gold IDS protein, human Immunization Immunization Schedule Vaccines

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More about "Immunization Schedule"

The Immunization Schedule is a crucial aspect of healthcare, providing a recommended timeline for administering various vaccines and immunizations.
This schedule, developed by leading health authorities like the CDC and WHO, aims to protect individuals and communities from an array of infectious diseases, including influenza, measles, and polio.
The Immunization Schedule is typically based on factors such as age, health status, and other relevant considerations, ensuring optimal immune response and disease prevention.
Adhering to this schedule is vital for maintaining individual and community well-being, as well as preventing the spread of vaccine-preventable illnesses.
Healthcare providers can utilize the Immunization Schedule to guide their patients, ensuring they receive the appropriate immunizations at the right times.
This helps to optimize the effectiveness of vaccines, such as BNT162b2, MRNA-1273, and AZD1222, which have been developed using innovative technologies like mRNA and adenovirus-based platforms.
Adjuvants, such as Complete Freund's adjuvant and Incomplete Freund's adjuvant, can also play a crucial role in enhancing the immune response to vaccines, particularly in animal models like Female BALB/c mice.
Additionally, vaccines like Varivax are designed to provide protection against specific diseases, further emphasizing the importance of the Immunization Schedule.
By understanding the Immunization Schedule and its related concepts, researchers and healthcare professionals can optimize their protocols and procedures, leveraging tools like Prism 9 to enhance the reproducibility and accuracy of their immunization research.
This holistic approach to immunization helps to safeguard the health and well-being of individuals and communities worldwide.