A survey of people from 31 different countries around the world found that mental health was the biggest health problem respondents said was facing their country in 2024. Other health problems reported by respondents included cancer, stress, and obesity. The COVID-19 pandemic The COVID-19 pandemic impacted almost every country in the world and was the biggest global health crisis in recent history. It resulted in hundreds of millions of cases and millions of deaths, causing unprecedented disruption in health care systems. Lockdowns imposed in many countries to halt the spread of the virus also resulted in a rise of mental health issues as feelings of stress, isolation, and hopelessness arose. However, vaccines to combat the virus were developed at record speed, and many countries have now vaccinated large shares of their population. Nevertheless, in 2024, ** percent of respondents still stated that COVID-19 was the biggest health problem facing their country. Mental health issues One side effect of the COVID-19 pandemic has been a focus on mental health around the world. The two most common mental health issues worldwide are anxiety disorders and depression. In 2021, it was estimated that around *** percent of the global population had an anxiety disorder, while **** percent suffered from depression. Rates of depression are higher among females than males, with some *** percent of females suffering from depression, compared to *** percent of men. However, rates of suicide in most countries are higher among men than women. One positive outcome of the COVID-19 pandemic and the spotlight it shined on mental health may be a decrease in stigma surrounding mental health issues and seeking help for such issues. This would be a positive development as many people around the world do not or cannot receive the necessary treatment they need for their mental health.

A survey of people from 31 different countries around the world found that mental health was the biggest health problem respondents said was facing their country in 2024, with around 51 percent of women and 40 percent of men considering this the case. Other health problems reported by respondents included cancer, stress, and obesity.

According to a survey, mental health was ranked as the biggest health care concern facing people in Colombia among selected issues, with around ** percent of respondents considering it the main sanitary problem as of August 2024. Moreover, stress and drug abuse ranked second and third among the leading health concerns that year, as indicated by ** and ** percent of interviewees, respectively. As of 2023, Colombia was among the countries with the highest share of people considering mental health one of the biggest health problems in their country within a selection of ** nations.

A survey conducted in Argentina found that mental health was ranked as the biggest health care concern facing people in the country among selected issues, with around 49 percent of respondents considering it the main sanitary problem as of August 2024. Moreover, stress and drug abuse ranked second and third among the leading health concerns that year, as indicated by 43 and 37 percent of interviewees, respectively. As of 2024, Argentina was among the countries with the highest share of people considering mental health as one of the biggest health problems in their country within a selection of 31 nations.

According to the data from January 2024, 22 percent of respondents said that rising health care costs were the most important health issue facing the United States. Mental health ranked second on the list with 15 percent. Issues with healthcare costsCurrently, the most urgent problem facing American healthcare is the high costs of care. The high expense of healthcare may deter people from getting the appropriate treatment when they need medical care or cause them to completely forego preventative care visits. Many Americans reported that they may skip prescription doses or refrain from taking medication as prescribed due to financial concerns. Such health-related behavior can result in major health problems, which may raise the long-term cost of care. Inflation, medical debt, and unforeseen medical expenses have all added to the burden that health costs are placing on household income. Gun violence issueThe gun violence epidemic has plagued the United States over the past few years, yet very little has been done to address the issue. In recent years, gun violence has become the leading cause of death among American children and teens. Even though more than half of Americans are in favor of tougher gun control regulations, there is little political will to strongly reform the current gun law. Gun violence has a deep traumatic impact on survivors and society, it is developing into a major public health crisis in the United States.

Changelog:

Update September 20, 2021: Data and overview updated to reflect data used in the September 15 story Over Half of States Have Rolled Back Public Health Powers in Pandemic. It includes 303 state or local public health leaders who resigned, retired or were fired between April 1, 2020 and Sept. 12, 2021. Previous versions of this dataset reflected data used in the Dec. 2020 and April 2021 stories.

Overview

Across the U.S., state and local public health officials have found themselves at the center of a political storm as they combat the worst pandemic in a century. Amid a fractured federal response, the usually invisible army of workers charged with preventing the spread of infectious disease has become a public punching bag.

In the midst of the coronavirus pandemic, at least 303 state or local public health leaders in 41 states have resigned, retired or been fired since April 1, 2020, according to an ongoing investigation by The Associated Press and KHN.

According to experts, that is the largest exodus of public health leaders in American history.

Many left due to political blowback or pandemic pressure, as they became the target of groups that have coalesced around a common goal — fighting and even threatening officials over mask orders and well-established public health activities like quarantines and contact tracing. Some left to take higher profile positions, or due to health concerns. Others were fired for poor performance. Dozens retired. An untold number of lower level staffers have also left.

The result is a further erosion of the nation’s already fragile public health infrastructure, which KHN and the AP documented beginning in 2020 in the Underfunded and Under Threat project.

Findings

The AP and KHN found that:

• One in five Americans live in a community that has lost its local public health department leader during the pandemic
• Top public health officials in 28 states have left state-level departments ## Using this data To filter for data specific to your state, use this query

To get total numbers of exits by state, broken down by state and local departments, use this query

Methodology

KHN and AP counted how many state and local public health leaders have left their jobs between April 1, 2020 and Sept. 12, 2021.

The government tasks public health workers with improving the health of the general population, through their work to encourage healthy living and prevent infectious disease. To that end, public health officials do everything from inspecting water and food safety to testing the nation’s babies for metabolic diseases and contact tracing cases of syphilis.

Many parts of the country have a health officer and a health director/administrator by statute. The analysis counted both of those positions if they existed. For state-level departments, the count tracks people in the top and second-highest-ranking job.

The analysis includes exits of top department officials regardless of reason, because no matter the reason, each left a vacancy at the top of a health agency during the pandemic. Reasons for departures include political pressure, health concerns and poor performance. Others left to take higher profile positions or to retire. Some departments had multiple top officials exit over the course of the pandemic; each is included in the analysis.

Reporters compiled the exit list by reaching out to public health associations and experts in every state and interviewing hundreds of public health employees. They also received information from the National Association of City and County Health Officials, and combed news reports and records.

Public health departments can be found at multiple levels of government. Each state has a department that handles these tasks, but most states also have local departments that either operate under local or state control. The population served by each local health department is calculated using the U.S. Census Bureau 2019 Population Estimates based on each department’s jurisdiction.

KHN and the AP have worked since the spring on a series of stories documenting the funding, staffing and problems around public health. A previous data distribution detailed a decade's worth of cuts to state and local spending and staffing on public health. That data can be found here.

Attribution

Findings and the data should be cited as: "According to a KHN and Associated Press report."

Is Data Missing?

If you know of a public health official in your state or area who has left that position between April 1, 2020 and Sept. 12, 2021 and isn't currently in our dataset, please contact authors Anna Maria Barry-Jester annab@kff.org, Hannah Recht hrecht@kff.org, Michelle Smith mrsmith@ap.org and Lauren Weber laurenw@kff.org.

A survey of women from 31 different countries around the world found that 45 percent of respondents said mental health was the biggest health problem facing their country in 2024. There was a large increase in the share of women finding mental health as the most serious health problem over the given period, rising from just 27 percent in 2018.

This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999. Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause of death statistics are based on the underlying cause of death. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

Introduction

Global Big Data in Healthcare Market size is expected to be worth around USD 145.8 Billion by 2033 from USD 42.2 Billion in 2023, growing at a CAGR of 13.2% during the forecast period from 2024 to 2033.

Big data in healthcare encompasses vast amounts of diverse, unstructured data sourced from medical journals, biometric sensors, electronic medical records (EMRs), Internet of Medical Things (IoMT), social media platforms, payer records, omics research, and data repositories. Integrating this unstructured data into traditional systems presents considerable challenges, primarily in data structuring and standardization. Effective data structuring is essential for ensuring compatibility across systems and enabling robust analytical processes.

However, advancements in big data analytics, artificial intelligence, and machine learning have significantly enhanced the ability to convert complex healthcare data into actionable insights. These advancements have transformed healthcare, driving informed decision-making, enabling early and accurate diagnostics, facilitating precision medicine, and enhancing patient engagement through digital self-service platforms, including online portals, mobile applications, and wearable health devices.

The role of big data in pharmaceutical R&D has become increasingly central, as analytics tools streamline drug discovery, accelerate clinical trial processes, and identify potential therapeutic targets more efficiently. The demand for business intelligence solutions within healthcare is rising, fueled by the surge of unstructured data and the focus on developing tailored treatment protocols. As a result, the global market for big data in healthcare is projected to grow steadily during the forecast period.

Healthcare Big Data Analytics Market Outlook

The global healthcare big data analytics market size is projected to achieve a robust growth trajectory, with a valuation of approximately USD 32 billion in 2023. It is anticipated to soar to around USD 115 billion by 2032, reflecting an impressive compound annual growth rate (CAGR) of 15.4%. This remarkable growth can largely be attributed to the increasing demand for efficient data management systems in the healthcare sector, the rising need for data-driven decision-making, and the expanding adoption of analytics in diverse healthcare applications. The integration of artificial intelligence and machine learning in analytics, the emphasis on personalized medicine, and the growing importance of predictive analytics are further propelling the market forward.

One of the key growth drivers in the healthcare big data analytics market is the rising necessity for cost reduction and improved operational efficiency within the healthcare sector. Hospitals and clinics are increasingly recognizing the value of analytics in streamlining processes, reducing waste, and enhancing patient care. By leveraging big data analytics, healthcare providers can gain insights into patient care patterns, optimize resource allocation, and minimize unnecessary expenditures. This drive towards efficiency is further bolstered by government initiatives and policies aimed at improving healthcare delivery and reducing costs, creating a fertile ground for the adoption of advanced analytics solutions.

Another significant factor contributing to the market's expansion is the growing emphasis on personalized and precision medicine. As healthcare providers aim to offer more tailored treatment options, the analysis of vast datasets becomes crucial. Big data analytics facilitates the identification of patterns and trends in patient data, enabling healthcare providers to make informed decisions regarding personalized treatment plans. Moreover, the continuous advancements in genomics and biotechnology are generating immense volumes of data, necessitating robust analytics solutions to derive actionable insights. This trend towards personalized care is expected to drive substantial investments in big data analytics technologies in the coming years.

Additionally, the increasing prevalence of chronic diseases and the aging global population are driving the demand for effective population health management. Big data analytics plays a pivotal role in analyzing population health trends, identifying at-risk individuals, and devising preventive strategies. Governments and healthcare organizations are increasingly focusing on population health analytics to enhance public health outcomes and reduce the burden on healthcare infrastructure. This growing demand for comprehensive population health management solutions is expected to be a significant driving force for the healthcare big data analytics market over the forecast period.

Healthcare Analytics & Medical Analytics are becoming increasingly vital in the pursuit of personalized and precision medicine. By leveraging these analytics, healthcare providers can delve deeper into patient data to uncover insights that inform individualized treatment plans. This approach not only enhances patient outcomes but also optimizes the use of healthcare resources. As the demand for personalized care continues to rise, the role of healthcare analytics in tailoring treatments to individual patient needs is expected to grow exponentially. The integration of advanced analytics tools into healthcare systems is facilitating a shift towards more patient-centric care models, thereby driving the adoption of these technologies across the sector.

The regional outlook for the healthcare big data analytics market shows a diverse growth pattern across different geographies. North America currently holds a significant share of the market, driven by the presence of advanced healthcare infrastructure, a high level of digitalization, and a strong focus on research and development. Europe is also witnessing considerable growth, with countries like Germany and the United Kingdom leading the charge in the adoption of analytics solutions. Meanwhile, the Asia Pacific region is poised to experience the fastest growth, fueled by rapid technological advancements, increasing healthcare investments, and the need to address healthcare challenges in densely populated regions. Latin America and the Middle East & Africa are expected to show steady growth, driven by improving healthcare infrastruct

In 2024, around 69 percent of adults in Chile stated that mental health was the biggest health problem facing people in their country, while in Mexico only around 25 percent of adults stated the same. This statistic illustrates the percentage of adults worldwide who stated that mental health problems were the biggest health problems facing people in their country in 2024.

A survey of adults in the United States found that around ** percent of respondents identified mobility issues, cancer, and cognitive decline as their top aging-related health concerns. This statistic depicts the percentage of adults in the United States who had select health concerns related to the aging process as of 2024.

Deaths covering Smoking only to 2019.

Health All In One Machine Market Outlook

The global market size for Health All In One Machines in 2023 is estimated to be around USD 15 billion, with a forecasted size of approximately USD 28 billion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 7%. The growth of this market is primarily driven by the increasing awareness of health and fitness, technological advancements, and the rising incidence of lifestyle-related diseases.

The demand for integrated health solutions has surged in recent years, driven by an increasing awareness of the importance of maintaining a healthy lifestyle. This trend is underscored by the rising prevalence of chronic diseases such as diabetes, hypertension, and cardiovascular disorders, which are often linked to sedentary lifestyles and poor dietary habits. Consequently, consumers are increasingly seeking comprehensive health solutions that offer multiple functionalities in a single device, thus fueling the growth of the Health All In One Machine market.

Technological advancements have also played a pivotal role in the expansion of this market. Innovations in sensor technologies, artificial intelligence, and data analytics have enabled the development of sophisticated health machines that can monitor a wide array of health parameters in real-time. These advancements have not only enhanced the accuracy and reliability of these machines but also made them more user-friendly, thereby broadening their appeal to a wider consumer base.

Moreover, the growing adoption of telemedicine and remote monitoring solutions has further bolstered the demand for Health All In One Machines. These devices offer the convenience of monitoring vital health metrics from the comfort of one's home, thereby reducing the need for frequent hospital visits. This is particularly beneficial for the elderly population and individuals with chronic conditions who require continuous health monitoring. The COVID-19 pandemic has further accentuated the need for such devices, as people have become more cautious about visiting healthcare facilities.

Regionally, North America dominates the market, driven by high healthcare expenditure, advanced healthcare infrastructure, and a large base of health-conscious consumers. The Asia Pacific region, however, is expected to witness the highest growth rate during the forecast period, attributed to the increasing disposable income, rapid urbanization, and growing awareness about health and wellness. Government initiatives aimed at promoting digital health and the proliferation of smart devices are also contributing to the market growth in this region.

Product Type Analysis

The Health All In One Machine market can be segmented into Fitness Machines, Diagnostic Machines, and Therapeutic Machines. Fitness machines are primarily designed to help users maintain physical fitness through various exercises. These machines often incorporate multiple functionalities such as cardio, strength training, and flexibility exercises, making them highly versatile. The increasing trend of home gyms and the growing popularity of fitness tracking have significantly driven the demand for these fitness machines.

Diagnostic machines, on the other hand, are equipped with sensors and software to monitor various health parameters such as heart rate, blood pressure, glucose levels, and more. These machines are highly sought after for their ability to provide real-time health data, aiding in early diagnosis and management of potential health issues. The advancement in wearable technology and mobile health applications has further propelled the demand for diagnostic machines, making them an integral part of personal health management.

Therapeutic machines are designed to offer treatments and therapies for various health conditions. These machines include features such as massage, electrical stimulation, and heat therapy, providing relief from pain and aiding in recovery from injuries. The increasing incidence of musculoskeletal disorders and the growing awareness of non-invasive treatment options have significantly contributed to the growth of this segment. The integration of therapeutic functionalities into all-in-one health machines has made them appealing to both individuals and healthcare providers.

Overall, the product type segmentation highlights the diverse functionalities that Health All In One Machines offer, catering to different aspects of health management. The continuous innovation and integration of advanced technologies are expected to further enhance

A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

Health indicators are quantifiable characteristics of a population which researchers use as supporting evidence for describing the health of a population. The researchers use a survey methodology to gather information about certain people, use statistics in an attempt to generalize the information collected to the entire population, then use the statistical analysis to make a statement about the health of a population. Health indicators are often used by governments to guide health care policy.

Digital Health Market Outlook

According to our latest research, the global digital health market size reached USD 287.7 billion in 2024, reflecting a robust expansion driven by technological advancements and healthcare digitization. The market is experiencing a healthy compound annual growth rate (CAGR) of 16.2% from 2025 to 2033. By the end of 2033, the global digital health market is forecasted to reach USD 888.4 billion. This significant growth is primarily propelled by the increasing adoption of digital health solutions, the proliferation of mobile health technologies, and the rising demand for remote healthcare services. As per our comprehensive analysis, the digital health market continues to evolve rapidly, underpinned by ongoing innovations in telehealth, mobile health (mHealth), digital therapeutics, and wearable technologies.

The growth trajectory of the digital health market is strongly influenced by the escalating prevalence of chronic diseases and the need for cost-effective healthcare delivery. With the global population aging and lifestyle-related health issues on the rise, healthcare providers are increasingly leveraging digital platforms to manage patient care more efficiently. Remote monitoring technologies, telehealth consultations, and mobile health applications are enabling continuous patient engagement and early intervention, which not only improves clinical outcomes but also reduces the burden on traditional healthcare infrastructures. The COVID-19 pandemic has further accelerated this shift, as restrictions on in-person visits highlighted the necessity for robust digital health ecosystems. This transformation is expected to persist, with digital health becoming an integral part of mainstream healthcare delivery models.

Another key growth factor is the rapid advancement in digital health technologies, particularly in areas such as artificial intelligence (AI), big data analytics, and cloud computing. These innovations are enhancing the functionality and scalability of digital health platforms, enabling personalized medicine, predictive analytics, and real-time decision support for clinicians. The integration of AI-powered diagnostic tools and health analytics solutions is streamlining clinical workflows, optimizing resource allocation, and facilitating data-driven healthcare management. Moreover, the widespread adoption of smartphones and wearable devices has democratized access to health information, empowering individuals to proactively monitor their health and wellness. This shift towards patient-centric care is fostering a culture of preventive healthcare, which is expected to drive sustained demand for digital health solutions over the forecast period.

Regulatory support and strategic investments are also playing a pivotal role in shaping the digital health market landscape. Governments across the globe are implementing favorable policies, funding initiatives, and reimbursement frameworks to promote the adoption of digital health solutions. For instance, the expansion of telehealth reimbursement policies in major markets such as the United States and Europe has incentivized healthcare providers to integrate digital platforms into their service offerings. Additionally, venture capital investments in digital health startups are fueling innovation and market entry, leading to a vibrant ecosystem of technology providers, healthcare organizations, and payers. These collaborative efforts are fostering interoperability, data security, and standardization, which are critical for the seamless integration of digital health into existing healthcare systems.

From a regional perspective, North America currently dominates the digital health market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high adoption rate of digital health technologies in North America can be attributed to advanced healthcare infrastructure, supportive regulatory policies, and a tech-savvy population. Europe is witnessing significant growth, driven by increasing investments in digital health innovation and cross-border healthcare initiatives. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rising healthcare expenditures, government-led digitalization programs, and the growing penetration of mobile technologies. Latin America and the Middle East & Africa are also showing promising potential, albeit at a comparatively nascent stage, as stakeholders focus on expanding healthcare access and improving quality of care through d

This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Digital Health Platforms Market Outlook

According to our latest research, the global digital health platforms market size reached USD 173.2 billion in 2024, reflecting the sector’s rapid evolution and increasing adoption across healthcare ecosystems worldwide. The market is projected to grow at a robust CAGR of 15.6% from 2025 to 2033, resulting in a forecasted market size of USD 545.8 billion by 2033. This impressive growth trajectory is being driven by the convergence of digital technology and healthcare, a surge in remote care demand, and the ongoing digital transformation initiatives across both public and private healthcare sectors.

The primary growth factor fueling the digital health platforms market is the increasing need for efficient healthcare delivery and cost containment. Healthcare systems globally are grappling with aging populations, rising chronic disease burdens, and the imperative to deliver patient-centered care while managing escalating costs. Digital health platforms, encompassing telemedicine, remote patient monitoring, and healthcare analytics, have emerged as critical enablers for improving care outcomes, enhancing patient engagement, and optimizing resource allocation. The integration of artificial intelligence, big data analytics, and cloud computing into these platforms has further amplified their potential, allowing for real-time data-driven decision-making and personalized healthcare interventions. The pandemic underscored the value of digital health, accelerating investments and policy support for virtual care solutions—momentum that continues to shape the market’s expansion.

Another significant driver is the rapid proliferation of mobile health (mHealth) applications and wearable devices, which empower patients to actively participate in their own health management. The widespread adoption of smartphones and advancements in sensor technology have made it possible for individuals to monitor vital signs, access medical records, and communicate with healthcare professionals from virtually anywhere. This patient-centric approach not only improves adherence to treatment regimens but also facilitates early detection of health issues, leading to better outcomes and reduced healthcare expenditures. Moreover, governments and regulatory bodies are increasingly recognizing the value of digital health platforms, enacting supportive policies and reimbursement frameworks that encourage their widespread implementation.

Interoperability and data integration capabilities have also become pivotal in driving the digital health platforms market forward. As healthcare organizations transition from siloed systems to interconnected digital ecosystems, the ability to seamlessly exchange and analyze health information across disparate platforms is paramount. Digital health platforms are evolving to support standardized data formats and secure data sharing, fostering collaboration among stakeholders and enabling holistic patient care. The emergence of cloud-based solutions has further democratized access to advanced digital health tools, allowing even resource-constrained providers to leverage sophisticated analytics and telehealth functionalities. This paradigm shift is expected to catalyze market growth, particularly in emerging economies where healthcare infrastructure modernization is a top priority.

From a regional perspective, North America continues to dominate the digital health platforms market, underpinned by robust healthcare IT infrastructure, high digital literacy, and substantial investments from both public and private sectors. The United States, in particular, has witnessed widespread adoption of telemedicine and electronic health records, driven by favorable reimbursement policies and a strong emphasis on value-based care. Europe follows closely, benefiting from coordinated digital health strategies and cross-border interoperability initiatives. Meanwhile, the Asia Pacific region is poised for the fastest growth over the forecast period, fueled by large, tech-savvy populations, increasing smartphone penetration, and government-led digital health campaigns. Latin America and the Middle East & Africa are also making significant strides, albeit at a more gradual pace, as they address infrastructure and regulatory challenges to unlock the full potential of digital health platforms.

This model combines stand density index (SDI), basal area loss, drought stress, and insect and disease surveys using an equal weight overlay. SDI determines the relative density of a stand, and was used in this model to identify where the density of small diameter trees is high. Basal area loss is defined as "the expectation that, without remediation, 25 percent or more of the standing live basal area of trees greater than 1 inch in diameter will die over the next 15 years (starting in 2005)." For the purposes of the New Mexico State Assessment, the basal area loss data layer represents areas of dense forest/woodlands with large diameter trees expected to experience mortality from insect and disease. SDI and basal area loss data layers were derived as a part of the 2006 National Insect and Disease Risk Map (NIDRM) and based on New Mexico's Forest Inventory Analysis Data from 1987-1999. Moisture stress depicts percent of normal precipitation for winter precipitation from 2006-2008 and was derived from PRISM precipitation data. Insect and disease outbreaks data was limited to past occurrence flyover data for western spruce budwrom and western tent catepillar and are based on USFS Forest Health Aerial Survey data from 1987-2008 .