Displaying publications 81 - 100 of 274 in total

Abstract:
Sort:
  1. Fulltext Bulk Processing of Multi-Temporal Modis Data, Statistical Analyses and Machine Learning Algorithms to Understand Climate Variables in the Indian Himalayan Region
    Haq MA, Baral P, Yaragal S, Pradhan B
    Sensors (Basel), 2021 Nov 08;21(21).
    PMID: 34770722 DOI: 10.3390/s21217416
    Studies relating to trends of vegetation, snowfall and temperature in the north-western Himalayan region of India are generally focused on specific areas. Therefore, a proper understanding of regional changes in climate parameters over large time periods is generally absent, which increases the complexity of making appropriate conclusions related to climate change-induced effects in the Himalayan region. This study provides a broad overview of changes in patterns of vegetation, snow covers and temperature in Uttarakhand state of India through bulk processing of remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data, meteorological records and simulated global climate data. Additionally, regression using machine learning algorithms such as Support Vectors and Long Short-term Memory (LSTM) network is carried out to check the possibility of predicting these environmental variables. Results from 17 years of data show an increasing trend of snow-covered areas during pre-monsoon and decreasing vegetation covers during monsoon since 2001. Solar radiation and cloud cover largely control the lapse rate variations. Mean MODIS-derived land surface temperature (LST) observations are in close agreement with global climate data. Future studies focused on climate trends and environmental parameters in Uttarakhand could fairly rely upon the remotely sensed measurements and simulated climate data for the region.
    Matched MeSH terms: Climate Change
  2. Red Alert: Climate Change and Public Health in the Asia Pacific Region
    Binns C, Low WY, Wai Hoe VC
    Asia Pac J Public Health, 2021 11;33(8):810-811.
    PMID: 34763537 DOI: 10.1177/10105395211051322
    Matched MeSH terms: Climate Change*
  3. Uniting the global gastroenterology community to meet the challenge of climate change and non-recyclable waste
    Leddin D, Omary MB, Veitch A, Metz G, Amrani N, Aabakken L, et al.
    Gut, 2021 11;70(11):2025-2029.
    PMID: 34620696 DOI: 10.1136/gutjnl-2021-325789
    Matched MeSH terms: Climate Change*
  4. Uniting the Global Gastroenterology Community to Meet the Challenge of Climate Change and Non-Recyclable Waste
    Leddin D, Omary MB, Veitch A, Metz G, Amrani N, Aabakken L, et al.
    Gastroenterology, 2021 11;161(5):1354-1360.
    PMID: 34629165 DOI: 10.1053/j.gastro.2021.08.001
    Matched MeSH terms: Climate Change*
  5. The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future
    Romanello M, McGushin A, Di Napoli C, Drummond P, Hughes N, Jamart L, et al.
    Lancet, 2021 Oct 30;398(10311):1619-1662.
    PMID: 34687662 DOI: 10.1016/S0140-6736(21)01787-6
    Matched MeSH terms: Climate Change*
  6. Fulltext The Impact of Meteorological Factors on Communicable Disease Incidence and Its Projection: A Systematic Review
    Baharom M, Ahmad N, Hod R, Arsad FS, Tangang F
    Int J Environ Res Public Health, 2021 10 22;18(21).
    PMID: 34769638 DOI: 10.3390/ijerph182111117
    BACKGROUND: Climate change poses a real challenge and has contributed to causing the emergence and re-emergence of many communicable diseases of public health importance. Here, we reviewed scientific studies on the relationship between meteorological factors and the occurrence of dengue, malaria, cholera, and leptospirosis, and synthesized the key findings on communicable disease projection in the event of global warming.

    METHOD: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow checklist. Four databases (Web of Science, Ovid MEDLINE, Scopus, EBSCOhost) were searched for articles published from 2005 to 2020. The eligible articles were evaluated using a modified scale of a checklist designed for assessing the quality of ecological studies.

    RESULTS: A total of 38 studies were included in the review. Precipitation and temperature were most frequently associated with the selected climate-sensitive communicable diseases. A climate change scenario simulation projected that dengue, malaria, and cholera incidence would increase based on regional climate responses.

    CONCLUSION: Precipitation and temperature are important meteorological factors that influence the incidence of climate-sensitive communicable diseases. Future studies need to consider more determinants affecting precipitation and temperature fluctuations for better simulation and prediction of the incidence of climate-sensitive communicable diseases.

    Matched MeSH terms: Climate Change
  7. Uniting the Global Gastroenterology Community to Meet the Challenge of Climate Change and Nonrecyclable Waste
    Leddin D, Omary MB, Veitch A, Metz G, Amrani N, Aabakken L, et al.
    J Clin Gastroenterol, 2021 10 8;55(10):823-829.
    PMID: 34617932 DOI: 10.1097/MCG.0000000000001619
    Climate change has been described as the greatest public health threat of the 21st century. It has significant implications for digestive health. A multinational team with representation from all continents, excluding Antarctica and covering 18 countries, has formulated a commentary which outlines both the implications for digestive health and ways in which this challenge can be faced.
    Matched MeSH terms: Climate Change*
  8. How energy insecurity leads to energy poverty? Do environmental consideration and climate change concerns matters
    Ehsanullah S, Tran QH, Sadiq M, Bashir S, Mohsin M, Iram R
    Environ Sci Pollut Res Int, 2021 Oct;28(39):55041-55052.
    PMID: 34125387 DOI: 10.1007/s11356-021-14415-2
    The aim of the study is to estimate the nexus between energy insecurity and energy poverty with the role of climate change and other environmental concerns. We used DEA like WP methods and properties of MCDA, a most common form of data envelopment analysis (DEA) to estimate the nexus between constructs. This paper presents a measurement and analysis of G7 countries' energy, economic, social, and environmental performance associated with energy poverty indexes. The study used the multiple, comprehensive, and relevant set of indicators, including energy economics and environmental consideration of energy poverty. The net energy consumption of al G7 economies is equal to 34 percent of the entire world along with the net estimate GDP score of around 50 percent. Using DEA modelling and estimation technique, our research presented valuable insights for readers, theorists and policy makers on energy, environment, energy poverty and climate change mitigation. For this reasons, all these indicators combined in a mathematical composite indicator to measure energy, economic, social, and environmental performance index (EPI). Results show that Canada has the highest EPII score, which shows that Canada's capacity to deal with energy self-sufficiency, economic development, and environmental performance is greater than the other G7 countries. France and Italy rank second and third. Japan comes next with 0.50 EPI scores, while the USA has the lowest average EPI score environment vulnerable even though have higher economic development among the G7 group countries. We suggest a policy framework to strengthen the subject matter of the study.
    Matched MeSH terms: Climate Change*
  9. Fulltext Impacts of and adaptation to climate change on the oil palm in Malaysia: a systematic review
    Abubakar A, Ishak MY, Makmom AA
    Environ Sci Pollut Res Int, 2021 Oct;28(39):54339-54361.
    PMID: 34402002 DOI: 10.1007/s11356-021-15890-3
    The interaction and the interplay of climate change with oil palm production in the Southeast Asia region are of serious concern. This particularly applies in Malaysia due to its rank as the second largest palm oil producer in the world. The anthropogenic activities and the agroecological practices in oil palm plantation, including excessive use of fertilisers, bush fire due to land clearing, and cultivation on peatland, have exacerbated the effects of climate change featuring extreme events, drought, flooding, heatwave, as well as infestation of pest and diseases. These adverse impacts on oil palm production highlight the significance of deploying effective adaptation strategies. The study aims to examine the impact of climate change on oil palm production and identify the farmers' adaptation strategies to the impacts of climate change in Malaysia. This study was conducted a comprehensive review of the articles published from 2000 to 2021 in the contexts of climate change and oil palm production in Malaysia. The review shows that climate change has a range of impacts on the oil palm production in Malaysia. As a result, several adaptation options were identified, such as breeding of hybrid varieties that are tolerant and resistant to heat; sustainable management of soil; pit and tranches to enhance water management in plantation areas; minimal use of fertilisers, herbicides, and pesticides; zero burning; and minimum tillage. The reviewed studies recommended the following to mitigate the adverse impacts of climate change: sustainable national policy on climate change, conservation of the existing carbon stock, effective management of tropical rainforest biodiversity, afforestation for carbon sequestration, and reduction in greenhouse gas (GHG) emission.
    Matched MeSH terms: Climate Change*
  10. A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
    Vilizzi L, Copp GH, Hill JE, Adamovich B, Aislabie L, Akin D, et al.
    Sci Total Environ, 2021 Sep 20;788:147868.
    PMID: 34134389 DOI: 10.1016/j.scitotenv.2021.147868
    The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a 'very high risk' of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate 'rapid' management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement.
    Matched MeSH terms: Climate Change
  11. Water quality modeling in sewer networks: Review and future research directions
    Jia Y, Zheng F, Maier HR, Ostfeld A, Creaco E, Savic D, et al.
    Water Res, 2021 Sep 01;202:117419.
    PMID: 34274902 DOI: 10.1016/j.watres.2021.117419
    Urban sewer networks (SNs) are increasingly facing water quality issues as a result of many challenges, such as population growth, urbanization and climate change. A promising way to addressing these issues is by developing and using water quality models. Many of these models have been developed in recent years to facilitate the management of SNs. Given the proliferation of different water quality models and the promise they have shown, it is timely to assess the state-of-the-art in this field, to identify potential challenges and suggest future research directions. In this review, model types, modeled quality parameters, modeling purpose, data availability, type of case studies and model performance evaluation are critically analyzed and discussed based on a review of 110 papers published between 2010 and 2019. The review identified that applications of empirical and kinetic models dominate those of data-driven models for addressing water quality issues. The majority of models are developed for prediction and process understanding using experimental or field sampled data. While many models have been applied to real problems, the corresponding prediction accuracies are overall moderate or, in some cases, low, especially when dealing with larger SNs. The review also identified the most common issues associated with water quality modeling of SNs and based on these proposed several future research directions. These include the identification of appropriate data resolutions for the development of different SN models, the need and opportunity to develop hybrid SN models and the improvement of SN model transferability.
    Matched MeSH terms: Climate Change
  12. Environmental performance of blue foods
    Gephart JA, Henriksson PJG, Parker RWR, Shepon A, Gorospe KD, Bergman K, et al.
    Nature, 2021 Sep;597(7876):360-365.
    PMID: 34526707 DOI: 10.1038/s41586-021-03889-2
    Fish and other aquatic foods (blue foods) present an opportunity for more sustainable diets1,2. Yet comprehensive comparison has been limited due to sparse inclusion of blue foods in environmental impact studies3,4 relative to the vast diversity of production5. Here we provide standardized estimates of greenhouse gas, nitrogen, phosphorus, freshwater and land stressors for species groups covering nearly three quarters of global production. We find that across all blue foods, farmed bivalves and seaweeds generate the lowest stressors. Capture fisheries predominantly generate greenhouse gas emissions, with small pelagic fishes generating lower emissions than all fed aquaculture, but flatfish and crustaceans generating the highest. Among farmed finfish and crustaceans, silver and bighead carps have the lowest greenhouse gas, nitrogen and phosphorus emissions, but highest water use, while farmed salmon and trout use the least land and water. Finally, we model intervention scenarios and find improving feed conversion ratios reduces stressors across all fed groups, increasing fish yield reduces land and water use by up to half, and optimizing gears reduces capture fishery emissions by more than half for some groups. Collectively, our analysis identifies high-performing blue foods, highlights opportunities to improve environmental performance, advances data-poor environmental assessments, and informs sustainable diets.
    Matched MeSH terms: Climate Change
  13. Fostering global health policy leadership through World Health Assembly simulations: debating climate change and health
    Godinho MA, Murthy S, Ali Mohammed C
    Health Promot Int, 2021 Aug 24;36(3):731-740.
    PMID: 34428296 DOI: 10.1093/heapro/daaa087
    The South Asian region is predicted to be among the most severely affected by the health impacts of climate change and warrants regional health policy leadership to tackle the same. Model World Health Organization (WHO) simulations offer the academic opportunity to build this leadership. This study describes the conceptualization and conduct of the 'Manipal Model World Health Organization' 2018 debate simulation, where a multi-professional group of students at an Indian university deliberated approaches to address the regional health impacts of climate change in South Asia. We contextualized the Model WHO debate model for a multi-professional classroom. Multi-sectoral stakeholders were engaged to draw participants from health and non-health disciplines. Participants were trained in health research literacy, policy politics, bloc politics, writing and public speaking for Model WHO. Mock sessions provided training in navigating parliamentary procedures. The debate event consisted of 22 participants and a four-member panel from diverse academic disciplines who independently assessed the deliberations. All delegations demonstrated competent written and verbal contributions. Content analysis of resolutions reaffirmed international agreements and addressed the Climate Change Health Risk Framework, and objectives of the WHO Secretariat Action Plan. Besides presenting a stratified typology of academic health policy debate simulations in global, regional, and subnational contexts, we also propose a 'theory of change', illustrating how academic policy discourse platforms can nurture critical thinking, research/policy literacy and leadership skills. Such initiatives help build the health policy leadership required for addressing global health challenges such as climate change.
    Matched MeSH terms: Climate Change
  14. Quantification of blue carbon in seagrass ecosystems of Southeast Asia and their potential for climate change mitigation
    Stankovic M, Ambo-Rappe R, Carly F, Dangan-Galon F, Fortes MD, Hossain MS, et al.
    Sci Total Environ, 2021 Aug 20;783:146858.
    PMID: 34088119 DOI: 10.1016/j.scitotenv.2021.146858
    Seagrasses have the ability to contribute towards climate change mitigation, through large organic carbon (Corg) sinks within their ecosystems. Although the importance of blue carbon within these ecosystems has been addressed in some countries of Southeast Asia, the regional and national inventories with the application of nature-based solutions are lacking. In this study, we aim to estimate national coastal blue carbon stocks in the seagrass ecosystems in the countries of Southeast Asia including the Andaman and Nicobar Islands of India. This study further assesses the potential of conservation and restoration practices and highlights the seagrass meadows as nature-based solution for climate change mitigation. The average value of the total carbon storage within seagrass meadows of this region is 121.95 ± 76.11 Mg ha-1 (average ± SD) and the total Corg stock of the seagrass meadows of this region was 429.11 ± 111.88 Tg, with the highest Corg stock in the Philippines (78%). The seagrass meadows of this region have the capacity to accumulate 5.85-6.80 Tg C year-1, which accounts for $214.6-249.4 million USD. Under the current rate of decline of 2.82%, the seagrass meadows are emitting 1.65-2.08 Tg of CO2 year-1 and the economic value of these losses accounts for $21.42-24.96 million USD. The potential of the seagrass meadows to the offset current CO2 emissions varies across the region, with the highest contribution to offset is in the seagrass meadows of the Philippines (11.71%). Current national policies and commitments of nationally determined contributions do not include blue carbon ecosystems as climate mitigation measures, even though these ecosystems can contribute up to 7.03% of the countries' reduction goal of CO2 emissions by 2030. The results of this study highlight and promote the potential of the southeast Asian seagrass meadows to national and international agencies as a practical scheme for nature-based solutions for climate change mitigation.
    Matched MeSH terms: Climate Change*
  15. Fulltext Deep Q-Learning and Preference Based Multi-Agent System for Sustainable Agricultural Market
    Pérez-Pons ME, Alonso RS, García O, Marreiros G, Corchado JM
    Sensors (Basel), 2021 Aug 04;21(16).
    PMID: 34450717 DOI: 10.3390/s21165276
    Yearly population growth will lead to a significant increase in agricultural production in the coming years. Twenty-first century agricultural producers will be facing the challenge of achieving food security and efficiency. This must be achieved while ensuring sustainable agricultural systems and overcoming the problems posed by climate change, depletion of water resources, and the potential for increased erosion and loss of productivity due to extreme weather conditions. Those environmental consequences will directly affect the price setting process. In view of the price oscillations and the lack of transparent information for buyers, a multi-agent system (MAS) is presented in this article. It supports the making of decisions in the purchase of sustainable agricultural products. The proposed MAS consists of a system that supports decision-making when choosing a supplier on the basis of certain preference-based parameters aimed at measuring the sustainability of a supplier and a deep Q-learning agent for agricultural future market price forecast. Therefore, different agri-environmental indicators (AEIs) have been considered, as well as the use of edge computing technologies to reduce costs of data transfer to the cloud. The presented MAS combines price setting optimizations and user preferences in regards to accessing, filtering, and integrating information. The agents filter and fuse information relevant to a user according to supplier attributes and a dynamic environment. The results presented in this paper allow a user to choose the supplier that best suits their preferences as well as to gain insight on agricultural future markets price oscillations through a deep Q-learning agent.
    Matched MeSH terms: Climate Change*
  16. The influence of ecosystems services depletion to climate change adaptation efforts in Africa
    Leal Filho W, Azeiteiro UM, Balogun AL, Setti AFF, Mucova SAR, Ayal D, et al.
    Sci Total Environ, 2021 Jul 20;779:146414.
    PMID: 33735656 DOI: 10.1016/j.scitotenv.2021.146414
    Climate change is one of the major challenges societies round the world face at present. Apart from efforts to achieve a reduction of emissions of greenhouse gases so as to mitigate the problem, there is a perceived need for adaptation initiatives urgently. Ecosystems are known to play an important role in climate change adaptation processes, since some of the services they provide, may reduce the impacts of extreme events and disturbance, such as wildfires, floods, and droughts. This role is especially important in regions vulnerable to climate change such as the African continent, whose adaptation capacity is limited by many geographic and socio-economic constraints. In Africa, interventions aimed at enhancing ecosystem services may play a key role in supporting climate change adaptation efforts. In order to shed some light on this aspect, this paper reviews the role of ecosystems services and investigates how they are being influenced by climate change in Africa. It contains a set of case studies from a sample of African countries, which serve the purpose to demonstrate the damages incurred, and how such damages disrupt ecosystem services. Based on the data gathered, some measures which may assist in fostering the cause of ecosystems services are listed, so as to cater for a better protection of some of the endangered Africa ecosystems, and the services they provide.
    Matched MeSH terms: Climate Change
  17. Fulltext The Role of Extracellular Carbonic Anhydrase in Biogeochemical Cycling: Recent Advances and Climate Change Responses
    Mustaffa NIH, Latif MT, Wurl O
    Int J Mol Sci, 2021 Jul 10;22(14).
    PMID: 34299033 DOI: 10.3390/ijms22147413
    Climate change has been predicted to influence the marine phytoplankton community and its carbon acquisition strategy. Extracellular carbonic anhydrase (eCA) is a zinc metalloenzyme that catalyses the relatively slow interconversion between HCO3- and CO2. Early results indicated that sub-nanomolar levels of eCA at the sea surface were sufficient to enhance the oceanic uptake rate of CO2 on a global scale by 15%, an addition of 0.37 Pg C year-1. Despite its central role in the marine carbon cycle, only in recent years have new analytical techniques allowed the first quantifications of eCA and its activity in the oceans. This opens up new research areas in the field of marine biogeochemistry and climate change. Light and suitable pH conditions, as well as growth stage, are crucial factors in eCA expression. Previous studies showed that phytoplankton eCA activity and concentrations are affected by environmental stressors such as ocean acidification and UV radiation as well as changing light conditions. For this reason, eCA is suggested as a biochemical indicator in biomonitoring programmes and could be used for future response prediction studies in changing oceans. This review aims to identify the current knowledge and gaps where new research efforts should be focused to better determine the potential feedback of phytoplankton via eCA in the marine carbon cycle in changing oceans.
    Matched MeSH terms: Climate Change*
  18. Spatiotemporal nexus between vegetation change and extreme climatic indices and their possible causes of change
    Islam ARMT, Islam HMT, Shahid S, Khatun MK, Ali MM, Rahman MS, et al.
    J Environ Manage, 2021 Jul 01;289:112505.
    PMID: 33819656 DOI: 10.1016/j.jenvman.2021.112505
    Climate extremes have a significant impact on vegetation. However, little is known about vegetation response to climatic extremes in Bangladesh. The association of Normalized Difference Vegetation Index (NDVI) with nine extreme precipitation and temperature indices was evaluated to identify the nexus between vegetation and climatic extremes and their associations in Bangladesh for the period 1986-2017. Moreover, detrended fluctuation analysis (DFA) and Morlet wavelet analysis (MWA) were employed to evaluate the possible future trends and decipher the existing periodic cycles, respectively in the time series of NDVI and climate extremes. Besides, atmospheric variables of ECMWF ERA5 were used to examine the casual circulation mechanism responsible for climatic extremes of Bangladesh. The results revealed that the monthly NDVI is positively associated with extreme rainfall with spatiotemporal heterogeneity. Warm temperature indices showed a significant negative association with NDVI on the seasonal scale, while precipitation and cold temperature extremes showed a positive association with yearly NDVI. The DEA revealed a continuous increase in temperature extreme in the future, while no change in precipitation extremes. NDVI also revealed a significant association with extreme temperature indices with a time lag of one month and with precipitation extreme without time lag. Spatial analysis indicated insensitivity of marshy vegetation type to climate extremes in winter. The study revealed that elevated summer geopotential height, no visible anticyclonic center, reduced high cloud cover, and low solar radiation with higher humidity contributed to climatic extremes in Bangladesh. The nexus between NDVI and climatic extremes established in this study indicated that increasing warm temperature extremes due to global warming might have severe implications on Bangladesh's ecology and the environment in the future.
    Matched MeSH terms: Climate Change*
  19. Mapping trends and knowledge structure of energy efficiency research: what we know and where we are going
    Mahi M, Ismail I, Phoong SW, Isa CR
    Environ Sci Pollut Res Int, 2021 Jul;28(27):35327-35345.
    PMID: 34002315 DOI: 10.1007/s11356-021-14367-7
    Energy efficiency (EE) is an evolving research aspect for researchers, businesses, and policymakers for its undeniable role in meeting increasing energy demand, reducing CO2 emissions, and tackling climate change. This paper provides a review of the current state of EE research by mapping the research landscape in business and economics to understand the socioeconomic dimensions within these research areas. To identify key information, we examine the trends and characteristics of 2935 relevant scientific publications over a 30-year period from 1990 to 2019 in the Social Science Citation Index of the Web of Science database using bibliometric analysis with a R language package called 'bibliometrix'. Our analysis shows an increasing trend in publications from 2006 onwards; the period remarkably coincides with the implementation phase of the Kyoto protocol in 2005. Accordingly, we observe that EE research has a strong association with issues like CO2 emissions, climate change, sustainability, and the growing importance of these issues in recent years. Thus, our findings provide crucial understandings by incorporating a wide array of scientific outputs in response to calls for greater theoretical clarification of EE research. These findings provide insights into the current state of the art of, and identify crucial areas for future, research. Hence, our research assists in formulating environmentally sustainable policies to tackle the adverse effects of CO2 emissions and related climate change through providing critical grasps on the scholarly development related to EE.
    Matched MeSH terms: Climate Change*
  20. Fulltext Evidence-informed policy for tackling adverse climate change effects on health: Linking regional and global assessments of science to catalyse action
    Fears R, Abdullah KAB, Canales-Holzeis C, Caussy D, Haines A, Harper SL, et al.
    PLoS Med, 2021 Jul;18(7):e1003719.
    PMID: 34283834 DOI: 10.1371/journal.pmed.1003719
    Robin Fears and co-authors discuss evidence-informed regional and global policy responses to health impacts of climate change.
    Matched MeSH terms: Climate Change*
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links