These data describe pneumococcal polysaccharide vaccine (PPV) uptake for the survey year, for those aged 65 years and over.RationaleVaccination coverage is the best indicator of the level of protection a population will have against vaccine preventable communicable diseases. Coverage is closely related to levels of disease. Monitoring coverage identifies possible drops in immunity before levels of disease rise. Pneumococcal disease is a significant cause of morbidity and mortality. Certain groups are at risk for severe pneumococcal disease, these include young children, the elderly and people who are in clinical risk groups2. Pneumococcal infections can be non invasive such as bronchitis, otitis media or invasive such as septicaemia, pneumonia, meningitis. Cases of invasive pneumococcal infection usually peak in the winter during December and January. The pneumococcal polysaccharide vaccine (PPV) protects against 23 types of Streptococcus pneumoniae bacterium. It is thought that the PPV is around 50 percent to 70 percent effective at preventing more serious types of invasive pneumococcal infection2.Since 1992 the 23 valent PPV has been recommended for people in the clinical risk groups and since 2003, the PPV vaccination programme has expanded to include immunisation to all those aged 65 years and over in England1This indicator was judged to be a valid and an important measure of public health and was therefore included in the public health outcomes framework. Inclusion of these indicators will encourage the continued prioritisation and evaluation and the effectiveness of the PPV vaccination programme and give an indication of uptake at an upper tier Local Authority level. The vaccination surveys measure the proportion of eligible people that have received PPV at any time and the proportion that received PPV during the previous year, providing an opportunity to assess the delivery of the immunisation programme11 Pneumococcal Polysaccharide Vaccine (PPV) coverage report, England, April 2013 to March 2014 [online]. 2015 [cited 2015 Mar]. Available from URL: https://www.gov.uk/government/publications/pneumococcal-polysaccharide-vaccine-ppv-vaccine-coverage-estimates 2 Pneumococcal infections, NHS Choices [online]. 2013 [cited 2013 Dec]. Available from URL: http://www.nhs.uk/conditions/vaccinations/pages/pneumococcal-vaccination.aspxDefinition of numeratorUKHSA provided UTLA level data. Clinical commissioning group (CCG) data is available from https://www.gov.uk/government/collections/vaccine-uptake#ppv-vaccine-uptakeDefinition of denominatorNumber of adults aged 65 years and over. Data from 2013 to 2014 are now available at source at a local authority level. Data prior to 2013 to 2014 were collected at a PCT level and converted to LA level for inclusion in PHOF using the criteria as defined below:Denominators for local authorities are estimated from denominators for PCTs. Denominators for PCTs include all people registered with practices accountable to the PCT, and no data are available to provide resident-based figures. Denominators for local authorities are estimated as follows: (For local authorities that have exactly the same boundary as a PCT, the PCT figure is used as it is the only estimate available for the residents of the PCT and local authority. For local authorities whose boundary is contained wholly within a single PCT, but is not equal to the whole PCT, the LA denominator is estimated as a proportion of the PCT figure, with the exceptions of Isles of Scilly, City of London, Rutland, Cornwall, Hackney and Leicestershire (see below). For local authorities whose boundaries include all or part of more than one PCT, the local authority denominator is estimated by aggregating the appropriate proportions of the denominators for the PCTs whose boundaries include part of the local authority. The appropriate proportions in cases ii and iii are defined according to the resident population (in the appropriate age group) in the calendar year overlapping most of the period of the indicator value (or the most recent available): resident population by Lower Layer Super Output Area were extracted and used to calculate the population resident in every LA PCT overlapping block.To calculate the denominator, each LA PCT overlap is calculated as a proportion of the PCT resident population, and then multiplied by the denominator for the PCT. A LA may overlap several PCTs: the appropriate portions of all the PCTs’ denominators are aggregated to give the denominator estimate for the LA. Expressed as an equation the denominator is calculated as follows: DenominatorLA = ∑ (DenominatorPCT × n/N) summed over all PCTs overlapping the LA where: DenominatorLA = Estimated denominator in the LA n = Population resident in the LA-PCT overlapping block N = Population resident in the PCT DenominatorPCT = Denominator in the PCT For Isles of Scilly, City of London and Rutland, no indicator data are presented (prior to 2013 to 2014), as the local authority makes up a very small proportion of the PCT, and estimates for the LAs based on the PCT figures are unlikely to be representative as they are swamped by the much larger local authority within the same PCT. The estimates for Cornwall, Hackney and Leicestershire local authorities are combined data for Cornwall and Isles of Scilly, City of London and Hackney, and Leicestershire and Rutland respectively in order to ensure that all valid PCT data are included in the England total.Denominators for Cornwall and Isles of Scilly, City of London and Hackney, and Leicestershire and Rutland are not combined for the 2019 to 2020 annual local authority level data."CaveatsThe pneumococcal vaccine uptake collection is a snapshot of GP patients vaccinated currently registered at the time of data extraction. The proportion of GP practices who provided data for the surveys are available from the uptake reports. Data will exclude patients who have received the vaccine but have subsequently died, patients who have since moved, or patients that are vaccinated but have not had their electronic patient record updated by the time of data extraction. Data for local authorities prior to 2013 to 2014 have been estimated from registered PCT level indicators. While the majority of patients registered with practices accountable to a PCT tend to be resident within that PCT, there are, in some PCTs, significant differences between their resident and registered populations. Therefore the estimates for LAs may not always accurately reflect the resident population of the local authority (LA). Please note that the PCT response rate should be checked for data completeness as this will have a knock on effect to the LA values.

Estimates of the risk of hospital admission for coronavirus (COVID-19) and death involving COVID-19 by vaccination status, overall and by age group, using anonymised linked data from Census 2021. Experimental Statistics.

Outcome definitions

For this analysis, we define a death as involving COVID-19 if either of the ICD-10 codes U07.1 (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified) is mentioned on the death certificate. Information on cause of death coding is available in the User Guide to Mortality Statistics. We use date of occurrance rather than date of registration to give the date of the death.

We define COVID-109 hospitalisation as an inpatient episode in Hospital Episode Statistics where the primary diagnosis was COVID-19, identified by the ICD-19 codes (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified). Where an individual had experienced more than one COVID-19 hospitalisation, the earliest that occurred within the study period was used. We define the date of COVID-19 hospitalisation as the start of the hospital episode.

ICD-10 code

U07.1 :

COVID-19, virus identified

U07.2:

COVID-19, virus not identified

Vaccination status is defined by the dose and the time since the last dose received

Unvaccinated:

no vaccination to less than 21 days post first dose

First dose 21 days to 3 months:

more than or equal to 21 days post second dose to earliest of less than 91 days post first dose or less than 21 days post second dose

First dose 3+ months:

more than or equal to 91 days post first dose to less than 21 days post second dose

Second dose 21 days to 3 months:

more than or equal to 21 days post second dose to earliest of less than 91 days post second dose or less than 21 days post third dose

Second dose 3-6 months:

more than or equal to 91 days post second dose to earliest of less than 182 days post second dose or less than 21 days post third dose

Second dose 6+ months:

more than or equal to 182 days post second dose to less than 21 days post third dose

Third dose 21 days to 3 months:

more than or equal to 21 days post third dose to less than 91 days post third dose

Third dose 3+ months:

more than or equal to 91 days post third dose

Model adjustments

Three sets of model adjustments were used

Age adjusted:

age (as a natural spline)

Age, socio-demographics adjusted:

age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status)

Fully adjusted:

age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status), plus health-related characteristics (disability, self-reported health, care home residency, number of QCovid comorbidities (grouped), BMI category, frailty flag and hospitalisation within the last 21 days.

Age

Age in years is defined on the Census day 2021 (21 March 2021). Age is included in the model as a natural spline with boundary knots at the 10th and 90th centiles and internal knots at the 25th, 50th and 75th centiles. The positions of the knots are calculated separately for the overall model and for each age group for the stratified model.

Coronavirus (COVID-19) vaccination rates among adults who live in England, including estimates by socio-demographic characteristic and Standard Occupational Classification (SOC) 2020

This statistical report, co-authored with the UK Health Security Agency (UKSHA), reports childhood vaccination coverage statistics for England in 2023-24. Data relates to the routine vaccinations offered to all children up to the age of 5 years, derived from the Cover of Vaccination Evaluated Rapidly (COVER). Additional information on children aged 2 and 3 vaccinated against seasonal flu are collected from GPs through UKHSA's ImmForm system.

Estimates of the risk of hospital admission for coronavirus (COVID-19) and death involving COVID-19 by vaccination status, in England, using anonymised linked data from Census 2021. Vaccine effectiveness estimates are given for the whole study population and stratified by age groups. Experimental Statistics.

Children for whom the local authority is responsible who completed a booster course of diphtheria, tetanus, pertussis, polio (DTaP and IPV) vaccine at any time by their fifth birthday as a percentage of all children whose fifith birthday falls within the time period.RationaleA booster vaccine for diphtheria, tetanus, pertusiss and polio disease has been in the routine childhood immunisation programme since late 2001. It is currently offered at 3 year and 4 months or soon after. Vaccination coverage is the best indicator of the level of protection a population will have against vaccine preventable communicable diseases. Coverage is closely correlated with levels of disease. Monitoring coverage identifies possible drops in immunity before levels of disease rise. Previous evidence shows that highlighting vaccination programmes encourages improvements in uptake levels. May also have relevance for NICE guidance PH21: Reducing differences in the uptake of immunisations (The guidance aims to increase immunisation uptake among those aged under 19 years from groups where uptake is low).Definition of numeratorNumber of children in LA responsible population whose fifth birthday falls within the time period who received a DTaP and IPV booster at any time before their fifth birthday.Definition of denominatorTotal number of children in LA responsible population whose fifth birthday falls within the time period. Coverage figures are supplied for patients registered with GPs based in that LA and for unregistered patients who were resident in that LA. The LA responsible population is therefore different from the estimated resident population figures produced by the Office of National Statistics (ONS) for each LA. For the COVER collection, the LA responsible population is usually derived from the population registers held on CHISs.CaveatsFull GP postcodes are used to aggregate data to ICB. The GP-level coverage data is collected by NHS Digital Strategic Data Collection Service (SDCS) and published by the UK Health Security Agency (UKHSA) COVER team. ICB data is experimental and should be treated with caution as it is not an official statistic.Information on childhood immunisation coverage at ages one, two, and five is collected through the UK COVER collection by UKHSA. These aggregated data are collected from CHISs, computerised systems storing clinical records that support health promotion and prevention activities for children, including immunisation. In England, COVER data are collected for Upper Tier Local Authorities (LAs) using the COVER data collection form. These are established collections based on total populations, not samples.The number of CHIS systems has decreased from over 100 in 2015 to around 70 by mid-2017. As different phases of the digital strategy are implemented across the country, it is anticipated that there may be further temporary local data quality issues associated with the transition. Temporary data quality issues in some London COVER returns during 2017 to 2018 were observed in the quarterly COVER reports as the new Hubs became responsible for generating coverage data. Changes in vaccine coverage within London should therefore be interpreted with caution for the time being.Data are extracted directly from local population registers, and data issues are generally related to underestimation of coverage. There may be some overestimation of denominators due to children who have moved away remaining on the area register, which can lead to underestimates of coverage. In some areas, it is known that a small number of GPs do not submit vaccination data to the local CHIS, also resulting in underestimation of coverage. Using non-standardised data extraction methods could result in overestimated coverage.Caution should be exercised when comparing coverage figures over time due to occasional data quality issues reported by some data suppliers. Apparent trends could reflect changes in the quality of data reported as well as real changes in vaccination coverage. While this issue will be more apparent at the local level, it may also impact national figures. Similarly, some caution should be exercised when comparing coverage between different areas where data quality issues have been reported.

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Vaccines Market Size 2025-2029

The vaccines market size is forecast to increase by USD 160.22 billion at a CAGR of 23.1% between 2024 and 2029.

The market is experiencing significant growth, driven by increased funding for research and development, leading to the launch of new vaccines. One of the most promising trends in this market is the development of nanoparticle vaccines, which offer enhanced immunogenicity and improved delivery systems. This trend is particularly evident in the development of nanoparticle vaccines, which offer enhanced efficacy and safety. However, the high cost of research, development, and manufacturing poses a significant challenge for market players. Examples include the inactivated polio vaccine (IPV) and influenza vaccine. These costs can be attributed to the complex production processes involved in vaccine creation, as well as the need for rigorous clinical trials to ensure safety and efficacy. 
However, the high cost of vaccine research, development, and manufacturing remains a significant challenge for market participants. Despite this, the market presents numerous opportunities for companies seeking to capitalize on the growing demand for vaccines, particularly in emerging economies with rising healthcare expenditures. Strategic partnerships, collaborations, and acquisitions are key strategies for companies looking to navigate the competitive landscape and stay ahead of the curve.
Overall, the market is poised for continued growth, with significant opportunities for innovation and investment in the coming years. Companies that can effectively address the challenges of cost and regulatory compliance while delivering high-quality, effective vaccines will be well-positioned to succeed.

What will be the Size of the Vaccines Market during the forecast period?

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The market driven by the continuous development of immunization programs and the pursuit of vaccine equity. Immunological memory, antibody response, and cost-effectiveness analysis are key factors influencing market growth. Vaccine supply chain, efficacy testing, preservation, patent, and licensing are essential aspects of the market. Nanotechnology and universal vaccines are emerging trends, aiming to improve vaccine accessibility and quality control. Vaccine manufacturing, regulatory approval, and economic impact are crucial elements in the market, with intellectual property, vaccine shelf life, and vaccine development pipeline being significant factors.
Vaccine innovation and vaccine safety monitoring are essential for addressing disease burden and ensuring potency, stability, and sterility. Vaccine logistics and vaccine stability are critical for successful distribution and administration, while vaccine safety monitoring emphasizes the importance of ongoing surveillance and immune response assessment. 

How is this Vaccines Industry segmented?

The vaccines industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Subunit vaccines
  Live attenuated vaccines
  Inactivated vaccines
  Toxoid vaccines
  Others


End-user

  Hospitals
  Clinics


Technology

  mRNA vaccines
  Viral vector vaccines
  Protein based vaccines
  DNA vaccines
  Others


Route Of Administration

  Intramuscular
  Subcutaneous
  Oral
  Intranasal
  Others


Disease Type

  Influenza
  Human papillomavirus
  Hepatitis
  Measles
  mumps
  rubella
  Others


Age Group

  Pediatric
  Adult
  Adolescent
  Geriatric


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The subunit vaccines segment is estimated to witness significant growth during the forecast period.

Subunit vaccines, integral components of the healthcare system's disease prevention strategy, employ specific antigenic pieces of a pathogen, such as proteins, sugars, or capsids, to induce a robust immune response. These vaccines, including the mRNA vaccines, are designed to target specific components of the pathogen, making them highly effective in preventing infections. The development process involves identifying and isolating these antigenic components, followed by formulation and rigorous testing to ensure safety and efficacy. For instance, in the realm of disease outbreak prevention, a phase 3 trial for the subunit TB vaccine candidate M72/AS01E was initiated in March 2024 in South Africa.

This trial aims to evaluate the vaccine's efficacy in preventing the progression from latent TB to active pulmonary TB, contributing to herd immunity and ultimately, disease surveillance and vaccine distribution within the healthcare s

Estimates of vaccine sentiment with breakdowns by different population groups. Analysis based on the Opinions and Lifestyle Survey.

Covid vaccinations administered by local area since 8th December 2020. It includes the calculated percentage of the 12+ population who have received all required vaccinations and/or boosters.Population estimates are based on National Immunisation Management Service counts.

The NHSBSA makes payments for Covid-19 vaccinations to Primary Care Network (PCN) providers in England. May I request the following data for the calendar months, January 2025, February 2025 and March 2025, individually by month and in excel format: Column 1 Year/month Column 2 ODS Code for PCN Column 3 Number of vaccinations claimed by the PCN Column 4 Number of vaccinations paid by the PCN Column 5 Total Payment made for administration of these Covid-19 vaccinations Column 6 Total of ALL other miscellaneous payments relating to Covid-19 vaccinations made to PCN. Response Column 2 - ODS Code for PCN I am writing to advise you that following a search of our paper and electronic records, I have established that we do not hold Primary Care Network (PCN) data that we can confidently join to the Lead PCN Practice ODS Code. Therefore, our data is at Lead PCN Practice level. Column 6 - Total of all other miscellaneous payments relating to Covid-19 vaccinations made to PCN. I am writing to advise you that following a search of our paper and electronic records, I have established that we do not hold information on miscellaneous payments. Remaining Information I can confirm that we hold the following information and a copy of this is attached: • Column 1 - Year/Month • Column 2 - ODS Code for Lead PCN practice level • Column 3 - Number of vaccinations claimed by the PCN • Column 4 - Number of vaccinations paid by the PCN • Column 5 - Total Payment made for administration of these Covid-19 vaccinations This information is at Lead PCN practice level as explained. Please read the notes to ensure your correct understanding of the data. Data source: NHSBSA Data Warehouse We calculate payments for Covid-19 vaccinations to pharmacies and Primary Care Network (PCN) groupings in England. Each month, vaccine providers submit claims to request payment based on the General Practice Enhanced Service Covid-19 vaccination programme specification ('the specification'). Data included in this request is limited to vaccinations carried out by PCN groupings only. Data included in this request is also limited to vaccinations administered in January, February and March 2025. The vaccine data is the latest held in the NHSBSA Data Warehouse. Both the number of 'claimed' and 'paid' vaccinations have been reported in this request. Vaccination records are limited to those which have been associated with a declaration submission; data with a valid declaration is shown as 'claimed'. These will be marked as 'paid', subject to the rules in the General Practice Enhanced Service Covid-19 vaccination programme specification ('the service specification'). Payments comprise an Item of Service (IoS) fee and potentially a Supplementary fee. Payments do not relate to the value of the drugs dispensed. Payment data includes payments made and those scheduled for payment in the future. We send payment files to Primary Care Services England for them to make payments to the PCN groupings and so we do not have information about the actual amounts paid. The total used for the payment calculation may not match the totals shown in 'live' POC systems or our Manage Your Service platform that continue to receive updates after the snapshot used to calculate payments was taken. Please note that some vaccinations attract a Supplementary fee, so it is not possible to determine the number of vaccinations by dividing the total paid by the basic IoS fee. This data does not include any adjustments made by our Provider Assurance team as part of any post payment verification exercise. These adjustments are made at account level and may relate to several months of activity. It is possible for new records from old administration months to be submitted to us by the contractor for processing in the future. Thus, the totals here for each administration month could change when more data is processed.

As of July 17, 2022, it was estimated that around every person aged 75 to 79 years of age in England had received at least two doses of a COVID-19 vaccine. Although the source does mention that this is likely to be an overestimation due to population figures taken from 2020. The data shows that at least a quarter of men under 30 years of age have not yet had two vaccine doses, with women more likely to be vaccinated among younger age groups.

Supplementary Information Files for Covid-19 vaccine hesitancy in the UK: The Oxford Coronavirus explanations, attitudes, and narratives survey (OCEANS) IIBackground: Our aim was to estimate provisional willingness to receive a COVID-19 vaccine, identify predictive socio-demographic factors, and, principally, determine potential causes in order to guide information provision. Methods: A non-probability online survey was conducted (24th September-17th October 2020) with 5,114 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and region. The Oxford COVID-19 Vaccine Hesitancy Scale assessed intent to take an approved vaccine. Structural equation modelling estimated explanatory factor relationships. Results: 71.7% (n=3,667) were willing to be vaccinated, 16.6% (n=849) were very unsure, and 11.7% (n=598) were strongly hesitant. An excellent model fit (RMSEA=0.05/CFI=0.97/TLI=0.97), explaining 86% of variance in hesitancy, was provided by beliefs about the collective importance, efficacy, side effects, and speed of development of a COVID-19 vaccine. A second model, with reasonable fit (RMSEA=0.03/CFI=0.93/TLI=0.92), explaining 32% of variance, highlighted two higher-order explanatory factors: ‘excessive mistrust’ (r=0.51), including conspiracy beliefs, negative views of doctors, and need for chaos, and ‘positive healthcare experiences’ (r=-0.48), including supportive doctor interactions and good NHS care. Hesitancy was associated with younger age, female gender, lower income, and ethnicity, but socio-demographic information explained little variance (9.8%). Hesitancy was associated with lower adherence to social distancing guidelines. Conclusions: COVID-19 vaccine hesitancy is relatively evenly spread across the population. Willingness to take a vaccine is closely bound to recognition of the collective importance. Vaccine public information that highlights prosocial benefits may be especially effective. Factors such as conspiracy beliefs that foster mistrust and erode social cohesion will lower vaccine up-take.

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Covid-19 Vaccination Market 2024-2028

The covid-19 vaccination market size is forecast to increase by USD -32.76 billion, at a CAGR of -37.4% between 2023 and 2028. The market is experiencing significant growth due to the expansion of vaccination programs worldwide. Governments and international organizations are investing heavily in vaccination initiatives to contain the spread of the virus. The rising research and development (R&D) investment in the development of Covid-19 vaccines is another major growth factor. However, the high cost of production of Covid-19 vaccines poses a significant challenge to market growth. Manufacturers are exploring various strategies to reduce production costs while maintaining vaccine efficacy and safety. The market is expected to witness strong growth in the coming years as more effective and affordable vaccines become available. poiuyfrtyh

What will the Covid-19 Vaccination Market Size be During the Forecast Period?

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Market Dynamics

The COVID-19 pandemic has brought about an unprecedented global health crisis, leading to the development of numerous vaccines to mitigate its impact. This content focuses on various aspects of COVID-19 vaccines, including production, distribution, administration, efficacy, safety, and regulations. COVID-19 vaccine production has been a top priority for researchers and pharmaceutical companies worldwide. Several manufacturers have developed vaccines using various technologies such as mRNA, viral vector, and protein subunit, undergoing rigorous testing and clinical trials to ensure safety and efficacy. Once vaccines receive approval from regulatory bodies, they are distributed to healthcare facilities and vaccination centers, requiring careful planning and coordination. Governments and international organizations are working to ensure equitable distribution, prioritizing vulnerable populations and herd immunity. Vaccine administration involves healthcare professionals delivering vaccines through injections, with proper training and safety protocols to minimize adverse reactions. Efficacy refers to the vaccine's ability to prevent infection or reduce the severity of symptoms, with most vaccines showing high efficacy rates, ranging from 60% to 95%. Vaccine safety is monitored closely, and while common side effects include pain and swelling at the injection site, fever, and fatigue, serious side effects are rare.

Vaccine procurement involves purchasing vaccines from manufacturers, with governments securing supplies through contracts and partnerships. Vaccine allocation ensures that vaccines are distributed to specific populations, with priority given to vulnerable groups like healthcare workers and the elderly. Vaccine prioritization determines which populations should receive vaccines first, based on risk factors. Vaccine passports are digital or physical documents that prove vaccination status, and may be required for travel or work, with regulations varying by jurisdiction. Vaccine mandates, which require vaccination for employment or participation in certain activities, remain a controversial issue. Vaccine regulations ensure vaccines are safe and effective, and policies governing vaccine use in schools, workplaces, and travel may change as supplies and public health conditions evolve.

Covid-19 Vaccination Market Driver

The expansion of vaccination programs is the key driver of the market. The market is experiencing significant growth due to the increasing demand for vaccines as governments and healthcare organizations prioritize widespread vaccination to control the virus and achieve herd immunity. This heightened demand leads to increased production and sales for vaccine manufacturers, resulting in long-term procurement contracts being signed to ensure a consistent vaccine supply. These contracts provide stability and revenue for manufacturers, with more contracts expected to be established as vaccination programs expand.

Vaccine distribution, administration, and logistics are crucial elements in the vaccine market, requiring efficient vaccine storage, transportation, and scheduling. Vaccine safety, efficacy, and monitoring are also vital considerations, along with addressing vaccine hesitancy and acceptance through education and outreach efforts. Vaccine regulations, policies, and campaigns are essential in ensuring vaccine coverage, immunity, and compliance with side effects and potential mandates or certificates.

Covid-19 Vaccination Market Trends

Rising research and development investment is the upcoming trend in the market. The Covid-19 pandemic has necessitated the rapid development, production, and distribution of vaccines to prevent and treat the disease caused by the SARS-CoV-2 virus. Governments and the private sector have collaborated to invest in va

Children for whom the local authority is responsible who completed a course of Meningococcal group B (MenB) vaccine at any time by their first birthday as a percentage of all children whose first birthday falls within the time period.RationaleThe MenB vaccine protects against invasive meningococcal disease caused by capsule group B, which most commonly presents as septicaemia, meningitis, or a combination of both. The vaccine was introduced into the routine childhood immunisation programme in September 2015 for babies at 8 and 16 weeks of age, with a booster dose after the first birthday.Vaccination coverage is the best indicator of the level of protection a population has against vaccine-preventable communicable diseases. Coverage is closely correlated with levels of disease. Monitoring coverage helps identify possible drops in immunity before disease levels rise. The MenB vaccine is given to all children under two years old as part of the childhood vaccination programme.Previous evidence shows that highlighting vaccination programmes encourages improvements in uptake levels. This may also be relevant for NICE guidance PH21: Reducing differences in the uptake of immunisations, which aims to increase immunisation uptake among those under 19 years from groups where uptake is low.Definition of numeratorTotal number of children in LA responsible population whose first birthday falls within the time period who received two doses of MenB at any time before their first birthday.Definition of denominatorTotal number of children in LA responsible population whose first birthday falls within the time period. Coverage figures are supplied for patients registered with GPs based in that LA and for unregistered patients who were resident in that LA. The LA responsible population is therefore different from the estimated resident population figures produced by the Office of National Statistics (ONS) for each LA. For the COVER collection, the LA responsible population is usually derived from the population registers held on CHISs.CaveatsFull GP postcodes are used to aggregate data to ICB. The GP-level coverage data is collected by NHS Digital Strategic Data Collection Service (SDCS) and published by the UK Health Security Agency (UKHSA) COVER team. ICB data is experimental and should be treated with caution as it is not an official statistic.MenB primary data are available as National Statistics for the first time in 2017 to 2018. Information on childhood immunisation coverage at ages one, two, and five is collected through the UK COVER collection by UKHSA. These aggregated data are collected from CHISs, computerised systems storing clinical records that support health promotion and prevention activities for children, including immunisation. In England, COVER data are collected for Upper Tier Local Authorities (LAs) using the COVER data collection form. These are established collections based on total populations, not samples.The number of CHIS systems has decreased from over 100 in 2015 to around 70 by mid-2017. As different phases of the digital strategy are implemented across the country, it is anticipated that there may be further temporary local data quality issues associated with the transition. Temporary data quality issues in some London COVER returns during 2017 to 2018 were observed in the quarterly COVER reports as the new Hubs became responsible for generating coverage data. Changes in vaccine coverage within London should therefore be interpreted with caution for the time being.Caution should be exercised when comparing coverage figures over time due to occasional data quality issues reported by some data suppliers. Apparent trends could reflect changes in the quality of data reported as well as real changes in vaccination coverage. While this issue will be more apparent at the local level, it may also impact national figures. Similarly, some caution should be exercised when comparing coverage between different areas where data quality issues have been reported.

Local authority level vaccine coverage estimates for the school-based meningococcal ACWY adolescent vaccination programme for 14 to 15 year olds.

Rationale The MenACWY vaccination was introduced into the national immunisation programme in autumn 2015 to respond to a rapid and accelerating increase in cases of invasive meningococcal group W (MenW) disease, which was declared a national incident. The MenACWY conjugate vaccine provides direct protection to the vaccinated cohort and, by reducing MenW carriage, will also provide indirect protection to unvaccinated children and adults. This follows advice from the Joint Committee on Vaccination and Immunisation (JCVI). It is routinely offered through schools in academic school Years 9 and 10 (rising 14 and rising 15 year olds). The indicator measures local authority level MenACWY vaccine coverage for students at the end of school Yr 10. Vaccination coverage is the best indicator of the level of protection a population will have against vaccine preventable communicable diseases. Coverage is closely correlated with levels of disease. Monitoring coverage identifies possible drops in immunity before levels of disease rise. Previous evidence shows that highlighting vaccination programmes encourages improvements in uptake levels. May also have relevance for NICE guidance PH21: Reducing differences in the uptake of immunisations (The guidance aims to increase immunisation uptake among those aged under 19 years from groups where uptake is low).

Definition of numerator Total number of adolescents in LA responsible population whose 15th birthday falls within the time period who have ever received MenACWY vaccine.

Definition of denominator Total number of adolescents attending school in LA plus adolescents resident in the LA not linked to any school whose 15th birthday falls within the time period.

Caveats On 23 March 2020, all educational settings in England were advised to close by the UK Government as part of COVID-19 pandemic measures. Although the importance of maintaining good vaccine uptake was impressed, operational delivery of all school-aged immunisation programmes was paused for a short period of time as a consequence of school closures limiting access to venues for providers and children who were eligible for vaccination and to ensure that lockdown regulations were not breached.

The NHSEI central public health commissioning and operations team rapidly established an Immunisation Task and Finish Group, with regional NHSEI and UKHSA representation. The group was established to:

assess the impact of COVID-19 on all immunisation programmes, including school-aged programmes develop technical guidance and a plan for restoration and recovery of school-aged programmes, once education settings were reopened

From 1 June 2020, some schools partially reopened for some year groups for a mini summer term. NHSEI published clinical guidance for healthcare professionals on maintaining immunisation programmes during COVID-19, and the Department of Education published further guidance which led to schools allowing vaccination sessions to resume on site.

NHSEI commissioned, school-aged immunisation providers were able to implement their restoration and recovery plans to commence catch-up during the summer of 2020. This included delivery of programmes in school and community settings following a robust risk assessment and in line with UK Government Public Health COVID-19 guidance.

In September 2020, schools across the UK reopened for general in-person attendance. During the 2020 to 2021 academic year, students were required to stay at home and learn remotely if they tested positive for COVID-19 or if they were a contact of a confirmed COVID-19 case, and so school attendance rates in England were lower than normal, especially in areas with very high COVID-19 incidence rates. In England, as part of a wider national lockdown in January 2021, schools were closed to all except children of keyworkers and vulnerable children. From early March 2021, primary schools reopened, with a phased reopening of secondary schools.

Although this led to some disruption of school-based elements of programme delivery in the 2020 to 2021 academic year, NHSEI Regional Public Health Commissioning teams worked with NHSEI commissioned school-aged immunisation providers to maintain the delivery of the routine programme and catch-up. As the routine programme is commissioned for a school-aged cohort rather than a school-based cohort, providers were able to build on existing arrangements such as community-based clinics in place for children not in mainstream education. A wide variety of local arrangements were established to ensure programme delivery continued effectively and safely in the school and community premises, during the term time and school breaks.

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Human Combination Vaccines Market Size 2025-2029

The human combination vaccines market size is forecast to increase by USD 7.72 billion, at a CAGR of 8.8% between 2024 and 2029.

The market is characterized by significant growth opportunities and challenges. Key drivers include the increasing prevalence of infectious diseases and the growing awareness of the importance of vaccination in preventing them. However, the market also faces challenges, including the rising threat of antiviral drug resistance, which can reduce the effectiveness of some vaccines. Furthermore, the threat from bioterrorism has led to an increased focus on developing combination vaccines that can protect against multiple diseases simultaneously. Consolidation of different immunization schedules is another trend shaping the market, as healthcare providers seek to simplify vaccine administration and improve patient compliance. Companies in this market must navigate these challenges while capitalizing on the growing demand for combination vaccines to remain competitive and succeed. Effective strategies may include investing in research and development of new combination vaccines, expanding production capacity, and collaborating with healthcare providers to streamline immunization schedules. By addressing these challenges and leveraging market opportunities, companies can position themselves for long-term success in the market.

What will be the Size of the Human Combination Vaccines Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by the ongoing development of new technologies and applications across various sectors. Pneumococcal disease remains a significant focus, with research and innovation centered around pneumococcal conjugate vaccines, inactivated vaccines, and polysaccharide vaccines. The use of viral vectors, needle-free injection, and immunization programs is expanding, enhancing vaccine access and effectiveness. Market dynamics are shaped by factors such as regulatory approvals, cold chain management, and immunization schedules. Pharmaceutical companies are investing in peptide vaccines, t-cell response, and DNA vaccines, aiming to improve vaccine efficacy and healthcare costs. Market access remains a critical concern, with efforts to address vaccine hesitancy and ensure equitable distribution. The manufacturing process, quality control, and vaccine shelf life are essential considerations, with ongoing research into vaccine delivery systems, recombinant vaccines, and MRNA technology. Health outcomes and healthcare costs are under constant scrutiny, with global health initiatives and vaccination rates playing a crucial role in disease prevention and pandemic preparedness. Vaccine development pipelines are continually evolving, with clinical trials exploring the potential of new adjuvants, vaccine adjuvants, and vaccine effectiveness. The role of intellectual property, disease surveillance, and antibody response in shaping the market landscape is an ongoing discussion. The market's continuous dynamism underscores the importance of staying informed about the latest trends and developments.

How is this Human Combination Vaccines Industry segmented?

The human combination vaccines industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeInactivated vaccineLive attenuated vaccineChannelHospitalsRetailersOnlineRoute Of AdministrationIntramuscularSubcutaneousOralIntradermalNasal sprayGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyUKAPACChinaIndiaJapanRest of World (ROW)

By Type Insights

The inactivated vaccine segment is estimated to witness significant growth during the forecast period.The market encompasses a range of vaccine types, including inactivated, live-attenuated, subunit, conjugate, recombinant, peptide, and DNA vaccines. Inactivated vaccines, which account for the largest market share, utilize a process where pathogen particles are destroyed or killed, ensuring they cannot replicate. This segment's dominance is attributed to their better tolerability and fewer complications when combining different antigens. However, producing combination vaccines poses challenges due to potential incompatibilities and interactions among various components. Public awareness campaigns and regulatory approvals play a crucial role in driving the market, with a focus on pandemic preparedness and disease prevention. Vaccine packaging, cold chain management, and storage and stability are essential considerations to maintain vaccine efficacy. Clinical trials, vaccine delivery systems, and quality control are in

Mismatch between vaccine lineages and circulating influenza B lineages (HPA data).

Importance: COVID-19 vaccine development has progressed at unprecedented speed. Widespread public uptake of the vaccine is crucial to stem the pandemic. Objective: To examine the factors associated with survey participants’ self-reported likelihood of selecting and receiving a hypothetical COVID-19 vaccine. Design, Setting and Participants: A survey of a nonprobability convenience sample of 2000 recruited participants including a choice-based conjoint analysis was conducted to estimate respondents’ probability of choosing a vaccine and willingness to receive vaccination . Participants were then asked to evaluate their willingness to receive each vaccine individually. The survey presented respondents with 5 choice tasks. In each, participants evaluated 2 hypothetical COVID-19 vaccines and were asked whether they would choose vaccine A, vaccine B, or neither vaccine . Vaccine attributes included efficacy, protection duration, major side effects, minor side effects, US Food and Drug Administration (FDA) approval process, national origin of vaccine, and endorsement. Levels of each attribute for each vaccine were randomly assigned and attribute order was randomized across participants. Survey data wereas collected on July 9, 2020. Main Outcomes and Measures: Average marginal component effect sizes and marginal means were calculated to estimate the relationship between each vaccine attribute-level and the probability of the respondent choosing a vaccine and self-reported willingness to receive vaccination . Results: A total of 1,971 US adults responded to the survey (median age 43; IQR: 30 to 58); 999 (51%) were women, 1,432 (73%) White, 277 (14%) Black, and 190 (10%) Latinx. An increase in efficacy from 50% to 70% was associated with a higher n increased the estimated probability of choosing a vaccine ofby .07 [95% CI: .06 to .09]; and an increase from 50% to 90% was associated with a higher probability of choosing a vaccine of .16 [95% CI: .15 to .18]. An increase in protection duration from 1 to 5 years was associated with a higher probability of choosing a vaccine of .05 [95% CI: .04 to .07]. A decrease in the incidence of major side effects from 1 in 10,000 to 1 in 1,000,000 was associated with a higher probability of choosing a vaccine of .07 [95% CI: .05 to .08]. An FDA emergency use authorization was associated with a lower probability of choosing a vaccine of -.03 [95% CI: -.01 to -.04] compared with full FDA approval. A vaccine that originated from a non-US country was associated with a lower probability of choosing a vaccine [China: -.13 (95% CI: -.11 to -.15 UK: -.04 (95% CI: -.02 to -.06)]. Endorsements from the US Centers for Disease Control and Prevention [.09 (95% CI: .07 to .11)] and World Health Organization [.06 (95% CI: .04 to .08)], compared with an endorsement from President Trump, were associated with higher probabilities of choosing a vaccine. Analyses of participants’ willingness to receive each vaccine when assessed individually yield similar results. Efficacy was the most important factor. An increase in efficacy from 50% to 90% was associated with a 10% higher marginal mean willingness to receive a vaccine [.51 to .61]. A reduction in the incidence of major side effects was associated with a 4% higher marginal mean willingness to receive a vaccine [.54 to .58]. A vaccine originating in China was associated with a 10% lower willingness to receive a vaccine versus one developed in the US [.60 to .50] Endorsements from the CDC and WHO were associated with substantial increases in willingness to receive a vaccine, 7% and 6%, respectively , from a baseline endorsement by President Trump [.52 to .59; .52 to .58]. Conclusions and Relevance: In this survey study of US adults, vaccine-related attributes and political characteristics were associated with self-reported preferences for choosing a hypothetical COVID-19 vaccine and self-reported willingness to receive vaccination. These results may help inform public health campaigns to address vaccine hesitancy when a COVID-19 vaccine becomes available.