Global Temperature Research Articles

New multivariate models for the estimation of earth’s albedo and its variation with meteorological parameters over Kano, Nigeria

The study of what happens to sunlight as it goes through the atmosphere is vital to many fields of science because over time, reflection, scattering, and absorption in the atmosphere have changed the amount of solar radiation that reaches the Earth's surface. This study examined the variation in albedo over Kano, situated in the Sahelian climatic zone of Nigeria. The study's data, which covered the years 1984–2022, totaled thirty-nine, was obtained from the National Aeronautics and Space Administration (NASA). Utilizing monthly average daily measured meteorological data on global solar radiation, wind speed, mean temperature, surface pressure, and relative humidity, eleven models of three categories based on two, three, and four variable regression models were developed. Five validation indicators were used to verify the regression models: the t-test, coefficient of determination (R2), mean percentage error (MPE), root mean square error (RMSE), and mean bias error (MBE). The developed models that were considered most appropriate for estimating surface albedo were ranked; the three-variable regression model ALB7, which included the wind speed, relative humidity, and mean temperature, outperformed the previously employed generalized method from literature in estimating surface albedo over Kano. The variation of measured albedo with meteorological parameters depicts a direct relationship for clearness index and wind speed; an inverse relationship was observed for surface pressure. Mean temperature and surface pressure exhibit an inverse relationship during the wet season and vice versa for the dry season.

Challenges posed by climate hazards to cardiovascular health and cardiac intensive care: implications for mitigation and adaptation.

Global warming, driven by increased greenhouse gas emissions, has led to unprecedented extreme weather events, contributing to higher morbidity and mortality rates from a variety of health conditions, including cardiovascular disease (CVD). The disruption of multiple planetary boundaries has increased the probability of connected, cascading, and catastrophic disasters with magnified health impacts on vulnerable populations. While the impact of climate change can be manifold, non-optimal air temperatures (NOTs) pose significant health risks from cardiovascular events. Vulnerable populations, especially those with pre-existing CVD, face increased risks of acute cardiovascular events during NOT. Factors such as age, socio-economic status, minority populations, and environmental conditions (especially air pollution) amplify these risks. With rising global surface temperatures, the frequency and intensity of heatwaves and cold spells are expected to increase, emphasizing the need to address their health impacts. The World Health Organization recommends implementing heat-health action plans, which include early warning systems, public education on recognizing heat-related symptoms, and guidelines for adjusting medications during heatwaves. Additionally, intensive care units must be prepared to handle increased patient loads and the specific challenges posed by extreme heat. Comprehensive and proactive adaptation and mitigation strategies with health as a primary consideration and measures to enhance resilience are essential to protect vulnerable populations and reduce the health burden associated with NOTs. The current educational review will explore the impact on cardiovascular events, future health projections, pathophysiology, drug interactions, and intensive care challenges and recommend actions for effective patient care.

Observed carbon decoupling of subnational production insufficient for net-zero goal by 2050

Historically, economic growth has been closely coupled to carbon emissions responsible for climate change, but to stabilize global mean temperature, net-zero carbon emissions are necessary. Some economies have begun to reduce emissions while continuing to grow, but this decoupling is not fast enough to achieve global climate targets. Subnational climate actions seem to be crucial for the achievement of these targets. Here, we uncover the effectiveness of subnational efforts by estimating decoupling rates and CO2 emission intensities over the last three decades for over 1,500 subnational regions, encompassing 85% of global emissions, using global data on reported economic output and gridded production-based emissions. Thirty percent of regions with available data have fully decoupled, with higher-income and historically carbon-intensive regions exhibiting higher rates of decoupling and declining emission intensity. Countries of the Organization for Economic Co-operation and Development with greater spending on subnational climate actions show higher decoupling rates, as do subnational regions in EU countries where climate policies have been implemented, highlighting the effectiveness of subnational policies. Moreover, subnational analysis reveals greater variance of decoupling rates within national boundaries than between them and that countries with weaker governance typically show higher variance of decoupling within their borders. If recent rates of production-based carbon decoupling continue, less than half of subnational regions would reach net-zero before 2050, even when accounting for observed acceleration via socioeconomic development and assuming no interregional carbon leakage.

Nitric oxide: Potential therapeutic target in Heat Stress-induced Multiple Organ Dysfunction.

As climate change intensifies, urgent action is needed to address global warming and its associated health risks, particularly in vulnerable regions. Rising global temperature and increasing frequency of heatwaves present a hidden health risk, disrupting the body's temperature regulation and leading to severe consequences such as heat stress-induced multiple organ dysfunction (HS-MOD). Multiple organ injury triggered by heat stress involves complex molecular pathways such as nitric oxide dysregulation, inflammation, oxidative stress, mitochondrial dysfunction, calcium homeostasis disruption, and autophagy impairment that contribute to cellular damage. Understanding these molecular pathways is crucial for developing targeted therapeutic interventions to alleviate the impact of heat stress (HS). As we explore numerous therapeutic strategies, a remarkable molecule captures our attention: nitric oxide (NO). This colorless gas, mainly produced by nitric oxide synthase (NOS) enzymes, plays crucial roles in various body functions. From promoting vasodilation and neurotransmission to regulating the immune response, platelet function, cell signaling, and reproductive health, NO stands out for its versatility. Exploring it as a promising treatment for heat stress-induced multiple organ injury highlights its distinctive features in the journey towards effective therapeutic interventions. This involves exploring both pharmacological avenues, considering the use of NO donors and antioxidants, and non-pharmacological strategies, such as adopting nitrate-rich diets and engaging in exercise regimens. This review highlights the concept of heat stress, the molecular framework of the disease, and treatment options based upon some new interventions.

Risks of high temperature exposure on infectious diseases in Portuguese hospitals

Abstract Background The convergence of climate change and infectious diseases presents a growing public health challenge. As global temperatures continue to climb, the geographical spread of climate-sensitive diseases is shifting, underscoring the necessity for comprehensive early warning systems grounded in a One Health framework. Methods This retrospective observational study analyzed daily maximum temperature from May to September, between 2000 and 2018, in mainland Portugal, at a county level, obtained from a European-level gridded observations dataset. Hospital admissions with a primary diagnosis of infectious and parasitic diseases were sourced from the Hospital Morbidity Database. A distributed lag non-linear model was developed to estimate the immediate and lagged relative risks (RR) of temperature exposure on admissions, focused on a lag of 10 days. Results Our research reveals a 16% (95% CI: 9% - 23%) rise in the RR of hospital admissions due to infectious and parasitic diseases after exposure to extremely high temperatures (39 °C). This elevated risk persists for up to 2 days following exposure, with the second day exhibiting the largest increase at 53% (31% - 80%). Furthermore, our findings indicate a subsequent resurgence in RR, reaching 6% (2% - 11%) 9 days after exposure. Conclusions Our results highlight a short-term effect of extreme temperature exposure on infectious and parasitic disease admissions. This data provides valuable insights to guide policymakers in identifying critical periods of vulnerability and implementing this knowledge into heat early warning systems, contributing to developing effective public health strategies against climate change. Acknowledgments The authors thank Fundação para a Ciência e a Tecnologia (FCT, Portugal) for research grant UIDP/04923/2020 and NOVA National School of Public Health for access to the Hospital Morbidity Database made available for research purposes by Administração Central do Sistema de Saúde, IP (ACSS). Key messages • Exposure to extremely high temperatures increases the risk of admission due to infectious and parasitic diseases by 16%, with a peak occurring two days after exposure. • This data is essential for policymakers to identify and integrate vulnerable periods into early heat warning systems, enhancing effective public health strategies against climate change.

Development of a heat mortality surveillance approach for England

Abstract Background England’s unprecedented temperatures in 2022 and 2023 highlighted the severe risks of rising global temperatures on public health. This study considers the impact of heatwave events on mortality rates, supporting the development of improved health surveillance and intervention strategies. Methods Firstly, heat-associated mortality for each heat episode was estimated by comparing observed daily mortality values with the expected baseline of daily deaths. Secondly, the historic temperature-mortality relationship was established at national and regional levels using a distributed lag non-linear model with temperature and mortality data from the previous 5 years. Finally, modelled estimates of heat-associated excess mortality were generated based on the historic temperature-mortality relationships, to assess any difference between observed and modelled estimates. Results In 2022 which saw record-breaking maximum temperatures in the UK, an estimated 2,985 (2,258-3,712) heat-associated deaths were recorded across five heat episodes, the highest annual count to date. Despite relatively cool temperatures, 2023 saw the third-highest heat-associated mortality since reporting began in 2016 of 2,295 (1,681-2,910). Comparisons between modelled and observed mortality were generally similar, but showed statistically significant discrepancies for certain heat episodes across the two summers. Conclusions Heatwaves have a rapid and clear impact on health, emphasising the need for effective early warning systems and interventions. The comparison of observed mortality with predictions from historic temperature-mortality relationships at regional level demonstrates the need for a nuanced approach to surveillance and health protection for adverse heat, with factors other than temperature also playing a critical role in health impacts. This will inform continuous improvements in England’s impact-based Heat Health Alerting system. Key messages • Heatwaves pose a significant risk to public health, as evidenced by the unprecedented excess deaths during the record-breaking temperatures in England in Summer 2022. • Comparison of observed mortality with predictions from historic data can provide insight into contextual factors modulating the health impacts of heat, and inform future surveillance and response.

Assessing climate strategies of major energy corporations and examining projections in relation to Paris Agreement objectives within the framework of sustainable energy

The study presents a comparative analysis of emission scenarios proposed by key institutions, including Shell, British Petroleum (BP), the International Energy Agency (IEA), and the Intergovernmental Panel on Climate Change (IPCC), within the framework of the Paris Agreement's ambitious goals. The Agreement seeks to limit global temperature rise to below 2 °C, ideally to 1.5 °C. Using a comprehensive analytical framework, the study evaluates each institution's projected carbon pathways, energy compositions, and policy recommendations. The findings reveal that IPCC scenarios demonstrate the strongest alignment with the Paris Agreement's targets, emphasizing a rapid transition to renewable energy and stringent mitigation measures. In contrast, the scenarios put forward by Shell and BP, although showing significant carbon reductions, remain heavily dependent on fossil fuels, raising concerns about the ability to meet the 1.5 °C and 2 °C targets. The IEA scenarios provide a middle ground, promoting decarbonization while still supporting natural gas as a transitional energy source. Disparities in transparency and methodological consistency are also identified across the scenarios, with the IPCC leading in clarity and scientific rigor. Ultimately, the research underscores the importance of harmonizing the strengths of different institutional approaches, while addressing the respective limitations, to ensure that the global community can stay on track to meet or exceed the climate objectives outlined in the Paris Agreement's. The study concludes that collective action, accelerated technological advancement, and policy shifts are crucial to achieving a sustainable, Net Zero future.

Drivers of Spatiotemporal Patterns of Riparian Forest NDVI Along a Hydroclimatic Gradient

ABSTRACTIn the context of rising global temperatures and their impact on weather patterns and water cycles, understanding the relationship between vegetation and hydroclimatic forcing is critical. Riparian forests are highly vulnerable to hydroclimatic variability, which can significantly affect water availability in the soil on which they primarily depend. Along large rivers, hydroclimatic forcings can vary, resulting in different vegetative responses depending on the local climatic context and site conditions. To explore this, we studied riparian forest greenness along a 512‐km river corridor with a 3° latitudinal gradient, analysing the relative contributions of climate (latitude, season, temperature, precipitation) and local hydrological conditions (groundwater). Here, we show that riparian forests along a latitudinal gradient respond differently to hydroclimatic controls, with vegetative dynamics that can be attenuated or accentuated by local site conditions. We combined Sentinel‐2 satellite Normalised Difference Vegetation Index (NDVI) data over seven years (2016–2022) with hydroclimatic data to examine riparian forest greenness responses to latitudinal, seasonal and interannual hydroclimatic variability. We found contrasting hydroclimatic controls across the latitudinal gradient, with the northernmost sites predominantly controlled by temperature, while those further south are limited by water availability. In addition, we identified temperature as the primary driver of NDVI throughout the growing season, either positively or negatively. Late season precipitation and high phreatic water availability positively influenced NDVI, emphasising the role of local conditions in governing riparian forest resilience. This study enhances understanding of climate controls on riparian tree greenness, which is critical for designing effective landscape‐scale riparian ecosystem management and restoration strategies.

Exploring Climate Change Impacts on Temperature Extremes in the South Saskatchewan River Watershed, Alberta, Canada

In recent years, the frequency and intensity of extreme temperature events have escalated, posing unprecedented challenges to ecosystems, economies, and human health. As global temperatures rise, these events are emerging as critical threats; therefore, understanding their changes is essential for developing strategies to mitigate their growing risks under global warming. In this study, we used ETCCDI (Expert Team on Climate Change Detection, Monitoring, and Indices) temperature indices to analyze future changes in extreme temperature events in the South Saskatchewan River Watershed (SSRW) in Southern Alberta, Canada, a critical area for irrigation, agriculture, and food production. This analysis is based on an ensemble of 26 Global Circulation Models (GCMs) and three Shared Socio-economic Pathway (SSP) scenarios, in three periods (2015–2030, 2041–2060, 2071–2100), compared against the base period of 1951–1990. The results suggest substantial changes in most of the studied indices towards higher temperatures, with a significant rise in both the numbers of days with extreme temperatures and the magnitude of the temperature itself, as well as a notable drop in the number of cold days. As a result of warming, the growing season length is 16 days longer in 2015–2030 compared to the base period and is projected to increase substantially by the end of the century. A longer growing season might seem favourable for agriculture, but it can disrupt water availability and cause unpleasant environmental consequences. Overall, the scenarios considered in this research suggest that the SSRW could experience warming at a significant rate. This finding underscores the urgent need for adaptation and mitigation actions to enhance resilience and sustainability.

Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan’s Peri-Urban and Rural Areas

This study aims to examine the socio-economic determinants of human negligence in wildfire occurrences across Pakistan’s peri-urban and rural regions. Increasingly frequent and severe wildfires, driven by climate change, socio-economic conditions, and human negligence, have become a pressing issue. Rising global temperatures and changing precipitation patterns have created drier conditions, while unsafe human activities—such as improper disposal of flammable materials and unsafe agricultural burning—further escalate wildfire risks. These issues are particularly pronounced in Pakistan, where high poverty levels, limited resources, and low education contribute to dangerous behaviors. Weak governance and poor policy enforcement further exacerbate the problem. Data were collected using a cross-sectional survey from 500 participants across five regions. Multiple regression analysis revealed that higher poverty levels significantly increased negligence, whereas higher education and improved access to resources reduced it. Structural Equation Modeling (SEM) highlighted the critical roles of local governance, policy enforcement, and community engagement in mitigating wildfires. Correlation analysis indicated an inverse relationship between wildfire risk awareness and negligent behavior. Chi-square tests demonstrated a strong connection between wildfires and migration patterns, underscoring the socio-economic instability caused by these events. Finally, linear regression showed that wildfires significantly impact regional climate indicators, emphasizing the need for integrated management strategies. This study offers valuable insights into the socio-economic factors driving wildfires in Pakistan and provides guidance for developing targeted mitigation strategies.

An Analysis of the Global EV Market: Sustainable Pathways to Net Zero Emissions

The rising urgency to address climate change has positioned electric vehicles (EVs) as a critical solution for achieving the United Nations' net-zero carbon emission targets. As human activities increase greenhouse gas emissions, the average global temperature continues to rise, leading to severe natural disasters in many regions. This situation underscores the urgent need to limit pollutant emissions and pursue sustainable resource management. This study analyzes the global EV market's trajectory towards sustainability, focusing on the interplay of policy frameworks and consumer engagement strategies in major EV markets, including the USA, the European Union, and China. The transition to EVs must be considered in conjunction with policy frameworks and the broader social environment. Using mixed methods and statistical models, we assess how different policies influence EV adoption and their alignment with sustainability goals. As the concept of sustainable development becomes more ingrained in society, it is promising that, through sustained policy implementation and resource development, the shift from ICE vehicles to EVs will make a crucial contribution to reducing carbon emissions. The findings provide actionable insights for optimizing policies and refining marketing strategies, offering a comprehensive blueprint for guiding the global EV market towards a sustainable future.

Impact of heat stress on poultry production: Feed intake, water homeostasis, gut integrity, and meat quality

Heat stress (HS) is a major challenge to the poultry industry, especially as global temperatures continue to rise due to climate change. Heat stress has a negative effect on poultry by disrupting production sustainability, water homeostasis, gut integrity, and meat quality, leading to economic losses and welfare concerns. This review consolidates current research on these issues and explores potential strategies to mitigate the adverse effects of HS. Nutritional interventions, environmental modifications, e.g., ventilation systems and cooling techniques, as well as genetic approaches are discussed as promising solutions to improve poultry resilience to HS. Moreover, this article emphasizes the importance of adopting sustainable and innovative practices to enhance poultry farming’s long-term viability, ensuring that production systems remain both efficient and environmentally friendly. As climate change continues to intensify, the development of holistic and effective solutions becomes critical to support the global poultry industry and meet the growing demand for high-quality protein sources in a sustainable manner.

The Impact of Climate Change on the Transmission of Vector-borne Diseases and Drug Administration: A Review

Climate change continues to be a big threat to humanity, particularly due to its significant impacts on human health. Although there have been some studies on the impacts of climate change on human health, there is a huge gap on its prospective effects on the transmission of vector-borne diseases and drug administration. Therefore this review provides a comprehensive impacts of climate change on the transmission of vector-borne diseases and drug administration It is estimated that the global temperature on average will potentially rise by 1.0 – 3.0 oC, thus increasing the chance of the emergent and increased rate of transmission of vector-borne diseases. Climate change continues to have a significant impact on overly poor and vulnerable populations across tropical and sub-tropical regions across the world. Some studies have established the influence of climate change on the transmission of diseases due to increasing changes in weather patterns such as rainfall and increase in temperature, as a result of global warming. It is believed that climate change will have a long-term effect on the propagation of diseases, and subsequently affect treatment from drug administration. Rising temperatures and global warming due to climate change can alter disease patterns, drug stability and change drug properties, thus potentially increasing drug toxicity and reducing drug efficacy.

Global and regional climate in 2023

Abstract2023 was the warmest year on record with a global mean temperature of 1.45 ± 0.12 degC above pre‐industrial levels, surpassing the previous record (from 2016) by 0.17 degC. The onset of El Niño in early July was accompanied by record‐breaking land and sea‐surface temperatures, with June to September all exceeding previous monthly temperature records, and July and August being the hottest months on record. Sea‐surface temperatures have attained record highs for all months since March 2023 and Antarctic sea ice reached record lows throughout the year.

Persistently active El Niño–Southern Oscillation since the Mesozoic

The El Niño-Southern Oscillation (ENSO), originating in the central and eastern equatorial Pacific, is a defining mode of interannual climate variability with profound impact on global climate and ecosystems. However, an understanding of how the ENSO might have evolved over geological timescales is still lacking, despite a well-accepted recognition that such an understanding has direct implications for constraining human-induced future ENSO changes. Here, using climate simulations, we show that ENSO has been a leading mode of tropical sea surface temperature (SST) variability in the past 250 My but with substantial variations in amplitude across geological periods. We show this result by performing and analyzing a series of coupled time-slice climate simulations forced by paleogeography, atmospheric CO2 concentrations, and solar radiation for the past 250 My, in 10-My intervals. The variations in ENSO amplitude across geological periods are little related to mean equatorial zonal SST gradient or global mean surface temperature of the respective periods but are primarily determined by interperiod difference in the background thermocline depth, according to a linear stability analysis. In addition, variations in atmospheric noise serve as an independent contributing factor to ENSO variations across intergeological periods. The two factors together explain about 76% of the interperiod variations in ENSO amplitude over the past 250 My. Our findings support the importance of changing ocean vertical thermal structure and atmospheric noise in influencing projected future ENSO change and its uncertainty.

The impact of technological advancements on global warming

Global warming, or climate change, refers to long term shifts in temperature and weather patterns. These shifts may be natural, however, from 1870, which is the start of the technical or second industrial revolution, there has been abnormally large amount of carbon dioxide (CO2) and other greenhouse gases such as methane and nitrous oxide getting trapped in the atmosphere, resulting in an enhanced greenhouse effect causing global temperatures to increase. This study seeks to assess and analyse the impact technology, its advancements and how it has impacted the global temperatures. By examining the correlation between technological development and CO2 emissions from machinery, this study will provide a comprehensive analysis of the relationship between the two.

Building an emulator for sea surface temperature

We are interested in the problem of predicting sea surface temperature with machine learning methods using only the relevant climate factors. We tried to resolve the cost inefficiency of the temperature predicting model using over a million of data[1] that is observed by about 6300[2] NASA weather stations, a typical model that prominent agencies like NASA uses. First of all, we minimized the required computing power by using only velocity and pressure variables. Moreover, we minimized the usage of data by using only 14GB of NASA-GISS data and supplemented the minimized data by comparing four different machine learning models to predict global sea surface temperature. In addition, beyond predicting the global sea surface temperature, we also wanted to delve into predicting each region’s temperature. Thus, we gridded the earth into 64,800 regions, based on latitudes and longitudes. However, the accuracy drastically decreased since the data was also divided into 64,800 parts. Therefore, we applied the Gaussian filter to our predicted outcomes, and it made a breakthrough in accuracy. This will have a huge impact on temperature prediction because it will astoundingly decrease the expense and the amount of data needed for predicting temperature.

Evolutionary shifts in the thermal biology of a subterranean mammal: the effect of habitat aridity.

Subterranean mammals representing a single subspecies occurring along an aridity gradient provide an appropriate model for investigating adaptive variation in thermal physiology with varying levels of precipitation and air temperature (Tair). This study examined the thermal physiological adaptations of common mole-rats (Cryptomys hottentotus hottentotus) across five populations along an aridity gradient, challenging the expectation that increased aridity would lead to reduced metabolic rate (MR), lower body temperatures (Tb), and broader thermoneutral zones (TNZ). No significant, consistent differences in MR, Tb, or thermal conductance were observed between populations, suggesting uniform thermoregulatory mechanisms across habitats. Instead, behavioral strategies such as huddling and torpor may play a more prominent role than physiological adaptations in managing temperature regulation and water balance. The study also observed osmoregulatory differences, with populations employing distinct behavioral cooling strategies in response to water availability. These results underscore the need for further research into the responses of subterranean species to climate change, particularly in understanding how increasing global temperatures and aridification might influence species distribution if they lack the physiological capacity to adapt to future climatic conditions.

Warmer Temperatures Are More Predictive Than Solar Radiation for the Number of Skin Cancer Removal Procedures.

Solar radiation is the primary risk factor for skin cancer, with personal exposure influenced by environmental and behavioral factors. At higher temperatures, behavioral changes increase solar radiation exposure. Examine the relationships between solar radiation, ambient temperature, age, and skin cancer. For the contiguous United States, we obtained the state mean global horizontal irradiance (GHI), daily maximum temperature, and number of skin cancer removals in the Medicare population. For skin cancer removals, we defined more sun-exposed skin as the head, neck, hands, and feet, and less sun-exposed skin as the trunk, arms, and legs. By comparing the temperature thresholds 17°C, 20°C, 24°C, 27°C, 31°C, and 34°C, we found that the annual number of days above 24°C was the strongest temperature-related predictor of skin cancer removals. Multivariable linear regression showed that the number of days above 24°C predicted more skin cancer removals for all body locations and less sun-exposed skin (p = 0.008 and p = 0.003, respectively), while GHI did not (p = 0.1 and p = 0.8, respectively). GHI only predicted more skin cancer removals for more sun-exposed skin (p = 0.02). More days above 24°C was a better predictor of skin cancer removals than GHI for all skin locations and less sun-exposed skin, suggesting that the behavioral changes occurring at warmer temperatures are more predictive of skin cancer removals than solar irradiance. Due to rising global temperatures, skin cancer incidence may further increase. Temperature-related behavioral changes represent a potential target for skin cancer prevention efforts.

Planetary health and mental health

Climate change is the greatest global health threat of the twenty-firstcentury. Greenhouse gas emissions and the resulting rise in average temperatures are directly linked to heatwaves, droughts, water and food shortages, extreme weather events, rising sea levels and migration movements as well as the loss of biodiversity and the alteration and degradation of ecosystems as we know them. Current estimates suggest that societies need to show much greater efforts to ensure that the global average temperature does not rise by more than 1.5 °C by 2029. Not only climate change but also other man-made factors, such as noise, light, particulate matter and plastics are threatening the health of the planet and therefore inevitably human health as well, both physical and mental health. Poorer planetary health also has an impact on human mental health. This article extends the DGPPN 2023 position paper on climate change and mental health to include the concept of planetary health. In particular, the normative dimension of the Canmore Declaration on Planetary Health, the concept of transdisciplinarity and specific calls for action are presented with their relevance to psychiatry, psychotherapy and mental health and the associations are graphically illustrated.