Displaying publications 61 - 80 of 274 in total

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  1. Abu Samah A, Shaffril HAM
    Environ Sci Pollut Res Int, 2020 Apr;27(10):11277-11289.
    PMID: 31965496 DOI: 10.1007/s11356-019-07143-1
    The existing literature have demonstrated a considerable amount of existing studies that merely interest on scientific perspectives by examining the physical environmental changes rather than conducting social-based studies that allow for the comparison of adaptation ability between mainland and island small-scale fishermen. Therefore, the current research attempts to fill this gap by investigating the adaptation level of mainland and island small-scale fishermen towards climate changes for the purpose of further identifying any significant differences regarding their adaptation aspects. The primary aim of the current research is to conduct a comparative study with the purpose of assessing the environmental change adaptation ability between the mainland and the islander small-scale fishermen. In the context of the current research, a quantitative approach was employed by selecting a total of 600 samples through several levels of cluster sampling. The instrument for the study was developed based on the 16 adaptation variables that were suggested within the adaptation framework proposed by the International Union for Conservation of Nature and Natural Resources. The data were analysed using SPSS, whereby to achieve the study's main objective, inferential analysis which refers to the independent t test was performed to examine any possible significant difference that might exist. In regard to this matter, various significant differences between the islander and the mainland fishermen managed to be detected in 10 adaptation aspects out of the 16 adaptation variables which include the capacity to adapt to change (monetary and emotional adaptability); the level of interest in adapting to change; the ability to plan, learn, and reorganize; and attachment to occupation. Accordingly, a number of recommendations were discussed at the end of this study which is hoped to assist the involved and relevant parties in arranging better adjustment approaches for small-scale fishermen in Malaysia.
    Matched MeSH terms: Climate Change*
  2. Short FT, Coles R, Fortes MD, Victor S, Salik M, Isnain I, et al.
    Mar Pollut Bull, 2014 Jun 30;83(2):408-16.
    PMID: 24746094 DOI: 10.1016/j.marpolbul.2014.03.036
    Seagrass systems of the Western Pacific region are biodiverse habitats, providing vital services to ecosystems and humans over a vast geographic range. SeagrassNet is a worldwide monitoring program that collects data on seagrass habitats, including the ten locations across the Western Pacific reported here where change at various scales was rapidly detected. Three sites remote from human influence were stable. Seagrasses declined largely due to increased nutrient loading (4 sites) and increased sedimentation (3 sites), the two most common stressors of seagrass worldwide. Two sites experienced near-total loss from of excess sedimentation, followed by partial recovery once sedimentation was reduced. Species shifts were observed at every site with recovering sites colonized by pioneer species. Regulation of watersheds is essential if marine protected areas are to preserve seagrass meadows. Seagrasses in the Western Pacific experience stress due to human impacts despite the vastness of the ocean area and low development pressures.
    Matched MeSH terms: Climate Change
  3. Chai CT, Putuhena FJ, Selaman OS
    Water Sci Technol, 2017 Dec;76(11-12):2988-2999.
    PMID: 29210686 DOI: 10.2166/wst.2017.472
    The influences of climate on the retention capability of green roof have been widely discussed in existing literature. However, knowledge on how the retention capability of green roof is affected by the tropical climate is limited. This paper highlights the retention performance of the green roof situated in Kuching under hot-humid tropical climatic conditions. Using the green roof water balance modelling approach, this study simulated the hourly runoff generated from a virtual green roof from November 2012 to October 2013 based on past meteorological data. The result showed that the overall retention performance was satisfactory with a mean retention rate of 72.5% from 380 analysed rainfall events but reduced to 12.0% only for the events that potentially trigger the occurrence of flash flood. By performing the Spearman rank's correlation analysis, it was found that the rainfall depth and mean rainfall intensity, individually, had a strong negative correlation with event retention rate, suggesting that the retention rate increases with decreased rainfall depth. The expected direct relationship between retention rate and antecedent dry weather period was found to be event size dependent.
    Matched MeSH terms: Climate Change
  4. Hays GC, Laloë JO, Lee PLM, Schofield G
    Curr Biol, 2023 Jan 09;33(1):R14-R15.
    PMID: 36626854 DOI: 10.1016/j.cub.2022.11.035
    Climate change is a clear and present threat to species survival. For species with temperature-dependent sex determination, including all sea turtles, it has been hypothesised that climate change may drive the creation of sex-ratio biases leading to population extinctions1. Through a global analysis across multiple species, we present the first direct empirical evidence for a demographic consequence of male scarcity in sea turtle populations, with a lower incidence of multiple paternity being found in populations with more extreme female-biased hatchling sex-ratio skews. For green turtles, when the female bias in hatchling sex ratio was >90%, the incidence of multiple paternity was low compared to other nesting sites, being 24.5% in the eastern Mediterranean (Cyprus), 36.4% on Redang Island (Malaysia) and 15.4% on the southern Great Barrier Reef (Heron Island, Australia) compared to higher values (range 61.1-91.7%) at other sites globally. These results suggest that a low incidence of multiple paternity may serve as a harbinger of future problems with egg fertility if males become even scarcer. Assessments of the incidence of multiple paternity at sites where adult males are expected to become scarce, such as Raine Island on the northern Great Barrier Reef in Australia, may help to identify when a lack of males raises the threat of local extinctions. In such cases, intervention to increase the production of male hatchlings may be needed.
    Matched MeSH terms: Climate Change
  5. Merckx VS, Hendriks KP, Beentjes KK, Mennes CB, Becking LE, Peijnenburg KT, et al.
    Nature, 2015 Aug 20;524(7565):347-50.
    PMID: 26266979 DOI: 10.1038/nature14949
    Tropical mountains are hot spots of biodiversity and endemism, but the evolutionary origins of their unique biotas are poorly understood. In varying degrees, local and regional extinction, long-distance colonization, and local recruitment may all contribute to the exceptional character of these communities. Also, it is debated whether mountain endemics mostly originate from local lowland taxa, or from lineages that reach the mountain by long-range dispersal from cool localities elsewhere. Here we investigate the evolutionary routes to endemism by sampling an entire tropical mountain biota on the 4,095-metre-high Mount Kinabalu in Sabah, East Malaysia. We discover that most of its unique biodiversity is younger than the mountain itself (6 million years), and comprises a mix of immigrant pre-adapted lineages and descendants from local lowland ancestors, although substantial shifts from lower to higher vegetation zones in this latter group were rare. These insights could improve forecasts of the likelihood of extinction and 'evolutionary rescue' in montane biodiversity hot spots under climate change scenarios.
    Matched MeSH terms: Climate Change
  6. Ożgo M, Liew TS, Webster NB, Schilthuizen M
    PeerJ, 2017;5:e3938.
    PMID: 29093997 DOI: 10.7717/peerj.3938
    Natural history collections are an important and largely untapped source of long-term data on evolutionary changes in wild populations. Here, we utilize three large geo-referenced sets of samples of the common European land-snail Cepaea nemoralis stored in the collection of Naturalis Biodiversity Center in Leiden, the Netherlands. Resampling of these populations allowed us to gain insight into changes occurring over 95, 69, and 50 years. Cepaea nemoralis is polymorphic for the colour and banding of the shell; the mode of inheritance of these patterns is known, and the polymorphism is under both thermal and predatory selection. At two sites the general direction of changes was towards lighter shells (yellow and less heavily banded), which is consistent with predictions based on on-going climatic change. At one site no directional changes were detected. At all sites there were significant shifts in morph frequencies between years, and our study contributes to the recognition that short-term changes in the states of populations often exceed long-term trends. Our interpretation was limited by the few time points available in the studied collections. We therefore stress the need for natural history collections to routinely collect large samples of common species, to allow much more reliable hind-casting of evolutionary responses to environmental change.
    Matched MeSH terms: Climate Change
  7. Barteit S, Sié A, Zabré P, Traoré I, Ouédraogo WA, Boudo V, et al.
    Front Public Health, 2023;11:1153559.
    PMID: 37304117 DOI: 10.3389/fpubh.2023.1153559
    BACKGROUND: Climate change significantly impacts health in low-and middle-income countries (LMICs), exacerbating vulnerabilities. Comprehensive data for evidence-based research and decision-making is crucial but scarce. Health and Demographic Surveillance Sites (HDSSs) in Africa and Asia provide a robust infrastructure with longitudinal population cohort data, yet they lack climate-health specific data. Acquiring this information is essential for understanding the burden of climate-sensitive diseases on populations and guiding targeted policies and interventions in LMICs to enhance mitigation and adaptation capacities.

    OBJECTIVE: The objective of this research is to develop and implement the Change and Health Evaluation and Response System (CHEERS) as a methodological framework, designed to facilitate the generation and ongoing monitoring of climate change and health-related data within existing Health and Demographic Surveillance Sites (HDSSs) and comparable research infrastructures.

    METHODS: CHEERS uses a multi-tiered approach to assess health and environmental exposures at the individual, household, and community levels, utilizing digital tools such as wearable devices, indoor temperature and humidity measurements, remotely sensed satellite data, and 3D-printed weather stations. The CHEERS framework utilizes a graph database to efficiently manage and analyze diverse data types, leveraging graph algorithms to understand the complex interplay between health and environmental exposures.

    RESULTS: The Nouna CHEERS site, established in 2022, has yielded significant preliminary findings. By using remotely-sensed data, the site has been able to predict crop yield at a household level in Nouna and explore the relationships between yield, socioeconomic factors, and health outcomes. The feasibility and acceptability of wearable technology have been confirmed in rural Burkina Faso for obtaining individual-level data, despite the presence of technical challenges. The use of wearables to study the impact of extreme weather on health has shown significant effects of heat exposure on sleep and daily activity, highlighting the urgent need for interventions to mitigate adverse health consequences.

    CONCLUSION: Implementing the CHEERS in research infrastructures can advance climate change and health research, as large and longitudinal datasets have been scarce for LMICs. This data can inform health priorities, guide resource allocation to address climate change and health exposures, and protect vulnerable communities in LMICs from these exposures.

    Matched MeSH terms: Climate Change*
  8. Tan YL, Yiew TH, Habibullah MS, Chen JE, Mat Kamal SN, Saud NA
    Environ Sci Pollut Res Int, 2023 Jan;30(2):2754-2770.
    PMID: 35941500 DOI: 10.1007/s11356-022-22211-9
    Although increased attempts to preserve biodiversity ecosystems have been widely publicized, bibliometric research of biodiversity loss remains limited. Using VOSviewer, we hope to provide a bibliometric assessment of global research trends on biodiversity loss from 1990 to 2021. Document type, language, publication trend, countries, institutions, Author Keywords, and Keywords Plus were all examined. This study recorded a total of 6599 publications from the Web of Science Core Collection database. According to the findings, biodiversity loss research is expected to rise dramatically in the near future. However, the role of social sciences and economics in biodiversity loss studies has received little attention. The USA made the most significant contribution in this field. Biological Conservation was the most productive journal, and Proceedings of the National Academy of Sciences of the United States of America was the most influential journal in biodiversity loss literature. Eisenhauer, N was the most prolific author, and Collen, B was the most referenced. Biodiversity, biodiversity loss mechanisms, biodiversity loss drivers, conservation, and climate change have been the topic of previous research. Possible future research hotspots may include species diversity and many elements of biodiversity. Lastly, the outcomes of this study suggest that existing socio-economic concerns can be integrated into decision-making processes to improve biodiversity conservation.
    Matched MeSH terms: Climate Change
  9. Takahashi M, Feng Z, Mikhailova TA, Kalugina OV, Shergina OV, Afanasieva LV, et al.
    Sci Total Environ, 2020 Nov 10;742:140288.
    PMID: 32721711 DOI: 10.1016/j.scitotenv.2020.140288
    Air pollution and atmospheric deposition have adverse effects on tree and forest health. We reviewed studies on tree and forest decline in Northeast and Southeast Asia, Siberia, and the Russian Far East (hereafter referred to as East Asia). This included studies published in domestic journals and languages. We identified information about the locations, causes, periods, and tree species exhibiting decline. Past air pollution was also reviewed. Most East Asian countries show declining trends in SO2 concentration in recent years, although Mongolia and Russia show increasing trends. Ozone (O3) concentrations are stable or gradually increasing in the East Asia region, with high maxima. Wet nitrogen (N) deposition was high in China and tropical countries, but low in Russia. The decline of trees and forests primarily occurred in the mid-latitudes of Japan, Korea, China, and Russia. Long-term large N deposition resulted in the N saturation phenomenon in Japan and China, but no clear forest health response was observed. Thereafter, forest decline symptoms, suspected to be caused by O3, were observed in Japan and China. In East Russia, tree decline occurred around industrial centers in Siberia. Haze events have been increasing in tropical and boreal forests, and particulate matter inhibits photosynthesis. In recent years, chronically high O3 concentrations, in conjunction with climate change, are likely have adverse effects on tree physiology. The effects of air pollution and related factors on tree decline are summarized. Recently, the effects of air pollution on tree decline have not been apparent under the changing climate, however, monitoring air pollution is indispensable for identifying the cause of tree decline. Further economic growth is projected in Southeast Asia and therefore, the monitoring network should be expanded to tropical and boreal forest zones. Countermeasures such as restoring urban trees and rural forests are important for ensuring future ecosystem services.
    Matched MeSH terms: Climate Change
  10. Hassan NA, Hashim JH, Wan Puteh SE, Wan Mahiyuddin WR, Mohd MSF, Shaharudin SM, et al.
    PLoS One, 2023;18(10):e0283133.
    PMID: 37862373 DOI: 10.1371/journal.pone.0283133
    This study is an attempt to investigate climate-induced increases in morbidity rates of food poisoning cases. Monthly food poisoning cases, average monthly meteorological data, and population data from 2004 to 2014 were obtained from the Malaysian Ministry of Health, Malaysian Meteorological Department, and Department of Statistics Malaysia, respectively. Poisson generalised linear models were developed to assess the association between climatic parameters and the number of reported food poisoning cases. The findings revealed that the food poisoning incidence in Malaysia during the 11 years study period was 561 cases per 100 000 population for the whole country. Among the cases, females and the ethnic Malays most frequently experienced food poisoning with incidence rates of 313 cases per 100,000 and 438 cases per 100,000 population over the period of 11 years, respectively. Most of the cases occurred within the active age of 13 to 35 years old. Temperature gave a significant impact on the incidence of food poisoning cases in Selangor (95% CI: 1.033-1.479; p = 0.020), Melaka (95% CI: 1.046-2.080; p = 0.027), Kelantan (95% CI: 1.129-1.958; p = 0.005), and Sabah (95% CI: 1.127-2.690; p = 0.012) while rainfall was a protective factor in Terengganu (95% CI: 0.996-0.999; p = 0.034) at lag 0 month. For a 1.0°C increase in temperature, the excess risk of food poisoning in each state can increase up to 74.1%, whereas for every 50 mm increase in rainfall, the risk of getting food poisoning decreased by almost 10%. The study concludes that climate does affect the distribution of food poisoning cases in Selangor, Melaka, Kelantan, Sabah, and Terengganu. Food poisoning cases in other states are not directly associated with temperature but related to monthly trends and seasonality.
    Matched MeSH terms: Climate Change*
  11. Shaffril HAM, Krauss SE, Samsuddin SF
    Sci Total Environ, 2018 Dec 10;644:683-695.
    PMID: 29990916 DOI: 10.1016/j.scitotenv.2018.06.349
    Climate change in Asia is affecting farmers' daily routines. Much of the focus surrounding climate change has targeted the economic and environmental repercussions on farming. Few systematic reviews have been carried out on the social impacts of climate change among farmers in Asia. The present article set out to analyse the existing literature on Asian farmers' adaptation practices towards the impacts of climate change. Guided by the PRISMA Statement (Preferred Reporting Items for Systematic reviews and Meta-Analyses) review method, a systematic review of the Scopus and Web of Science databases identified 38 related studies. Further review of these articles resulted in six main themes - crop management, irrigation and water management, farm management, financial management, physical infrastructure management and social activities. These six themes further produced a total of 35 sub-themes. Several recommendations are highlighted related to conducting more qualitative studies, to have specific and a standard systematic review method for guide research synthesis in context of climate change adaptation and to practice complimentary searching techniques such as citation tracking, reference searching, snowballing and contacting experts.
    Matched MeSH terms: Climate Change*
  12. Shaffril HAM, Samah AA, Samsuddin SF
    Environ Sci Pollut Res Int, 2021 May;28(18):22265-22277.
    PMID: 33745056 DOI: 10.1007/s11356-021-13178-0
    This study proposes a set of GuFSyADD guidelines on steps for developing  suggestions that  enhance of its rigor in systematic literature review (SLR) for studies related to climate change adaptation. The prescribed guidelines are based on the following six steps, (1) guided by review of protocol/publication standard/established guidelines/related published articles, (2) formulation of review questions, (3) systematic searching strategies, (4) appraisal of quality, (5) data extraction and analysis, and (6) data demonstration. Essentially, this set of proposed  guidelines enables researchers to develop an SLR pertaining to climate change adaptation in an organised, transparent, and replicable manner.
    Matched MeSH terms: Climate Change*
  13. Shaffril HAM, Idris K, Sahharon H, Samah AA, Samah BA
    Environ Sci Pollut Res Int, 2020 Jul;27(20):25209-25219.
    PMID: 32347501 DOI: 10.1007/s11356-020-08987-8
    This study aims to gain more understanding on highland farmers' adaptation towards the impacts of climate change in Malaysia. Via a multi-stage cluster sampling, this quantitative study has surveyed a total of 400 highland farmers as respondents. The results indicated that the highest climate change-resilient farmers were from Kundasang, specifically among the females, Dusun ethnic group, and those who work side jobs to cover household expenses. Furthermore, recorded factors such as age and years of experience yielded significant negative relationship with adaptation whereas income yielded significant positive relationship with adaptation. The paper concludes with recommendations related to occupational diversification, consistent information disseminations, access to financial assistance, and the need to empower extension officers and local leaders in the hope that a comprehensive approach can help implement any community climate change-adaptation plan.
    Matched MeSH terms: Climate Change*
  14. Salaudeen A, Shahid S, Ismail A, Adeogun BK, Ajibike MA, Bello AD, et al.
    Sci Total Environ, 2023 Feb 01;858(Pt 2):159874.
    PMID: 36334669 DOI: 10.1016/j.scitotenv.2022.159874
    Recently, there is an upsurge in flood emergencies in Nigeria, in which their frequencies and impacts are expected to exacerbate in the future due to land-use/land cover (LULC) and climate change stressors. The separate and combined forces of these stressors on the Gongola river basin is feebly understood and the probable future impacts are not clear. Accordingly, this study uses a process-based watershed modelling approach - the Hydrological Simulation Program FORTRAN (HSPF) (i) to understand the basin's current and future hydrological fluxes and (ii) to quantify the effectiveness of five management options as adaptation measures for the impacts of the stressors. The ensemble means of the three models derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed for generating future climate scenarios, considering three distinct radiative forcing peculiar to the study area. Also, the historical and future LULC (developed from the hybrid of Cellular Automata and Markov Chain model) are used to produce the LULC scenarios for the basin. The effective calibration, uncertainty and sensitivity analyses are used for optimising the parameters of the model and the validated result implies a plausible model with efficiency of up to 75 %. Consequently, the results of individual impacts of the stressors yield amplification of the peak flows, with more profound impacts from climate stressor than the LULC. Therefore, the climate impact may trigger a marked peak discharge that is 48 % higher as compared to the historical peak flows which are equivalent to 10,000-year flood event. Whilst the combine impacts may further amplify this value by 27 % depending on the scenario. The proposed management interventions such as planned reforestation and reservoir at Dindima should attenuate the disastrous peak discharges by almost 36 %. Furthermore, the land management option should promote the carbon-sequestering project of the Paris agreement ratified by Nigeria. While the reservoir would serve secondary functions of energy production; employment opportunities, aside other social aspects. These measures are therefore expected to mitigate feasibly the negative impacts anticipated from the stressors and the approach can be employed in other river basins in Africa confronted with similar challenges.
    Matched MeSH terms: Climate Change
  15. Pant P, Rajawat AS, Goyal SB, Chakrabarti P, Bedi P, Salau AO
    Environ Sci Pollut Res Int, 2023 Dec;30(60):125176-125187.
    PMID: 37402910 DOI: 10.1007/s11356-023-28466-0
    The fate of humankind and all other life forms on earth is threatened by a foe, known as climate change. All parts of the world are affected directly or indirectly by this phenomenon. The rivers are drying up in some places and in other places, it is flooding. The global temperature is rising every year and the heat waves are taking many souls. The cloud of "extinction" is upon the majority of flora and fauna; even humans are prone to various fatal and life-shortening diseases from pollution. This is all caused by us. The so-called "development" by deforestation, releasing toxic chemicals into air and water, burning of fossil fuels in the name of industrialisation, and many others have made an irreversible cut in the heart of the environment. However, it is not too late; all of this could be healed back with the help of technology and our efforts together. As per the international climate reports, the average global temperature has increased by a little more than 1 °C since 1880s. The research is primarily focused on the use of machine learning and its algorithm to train a model that predicts the ice meltdown of a glacier, given the features using the Multivariate Linear Regression. The research strongly encourages the use of features by manipulating them to determine the feature with a major impact on the cause. The burning of coal and fossil fuels is the main source of pollution as per the study. The research focuses on the challenges to gather data that would be faced by the researchers and the requirement of the system for the development of the model. The study is aimed to spread awareness in society about the destruction we have caused and urges everyone to come forward and save the planet.
    Matched MeSH terms: Climate Change*
  16. Sahani M, Othman H, Kwan SC, Juneng L, Ibrahim MF, Hod R, et al.
    Front Public Health, 2022;10:909779.
    PMID: 36311578 DOI: 10.3389/fpubh.2022.909779
    The impacts of climate change and degradation are increasingly felt in Malaysia. While everyone is vulnerable to these impacts, the health and wellbeing of children are disproportionately affected. We carried out a study composed of two major components. The first component is an environmental epidemiology study comprised of three sub-studies: (i) a global climate model (GCM) simulating specific health-sector climate indices; (ii) a time-series study to estimate the risk of childhood respiratory disease attributable to ambient air pollution; and (iii) a case-crossover study to identify the association between haze and under-five mortality in Malaysia. The GCM found that Malaysia has been experiencing increasing rainfall intensity over the years, leading to increased incidences of other weather-related events. The time-series study revealed that air quality has worsened, while air pollution and haze have been linked to an increased risk of hospitalization for respiratory diseases among children. Although no clear association between haze and under-five mortality was found in the case-crossover study, the lag patterns suggested that health effects could be more acute if haze occurred over a longer duration and at a higher intensity. The second component consists of three community surveys on marginalized children conducted (i) among the island community of Pulau Gaya, Sabah; (ii) among the indigenous Temiar tribe in Pos Kuala Mu, Perak; and (iii) among an urban poor community (B40) in PPR Sg. Bonus, Kuala Lumpur. The community surveys are cross-sectional studies employing a socio-ecological approach using a standardized questionnaire. The community surveys revealed how children adapt to climate change and environmental degradation. An integrated model was established that consolidates our overall research processes and demonstrates the crucial interconnections between environmental challenges exacerbated by climate change. It is recommended that Malaysian schools adopt a climate-smart approach to education to instill awareness of the impending climate change and its cascading impact on children's health from early school age.
    Matched MeSH terms: Climate Change*
  17. Rose Nani Mudi
    MyJurnal
    The trend of dengue incidence in the regions and many countries has shown an increasing trend for the past few decades. The World Health Organization (WHO) reported that the incidence increased dramatically over the last 50 years and that dengue virus infections expanded to new countries, and from urban to rural settings. Malaysia is one of the countries that experience similar situation. The trend of dengue incidence in Malaysia has continued to increase since 2001 until 2014. In 2001, the dengue incidence rate (IR) was 72 cases in 100,000 population and progressively increased to 361 cases in 100,000 populations in 2014. There were temporary decrease of the incidence rate in 2011 and 2012 to 69.9 and 76 cases per 100,000 populations. Despite the close monitoring and continuous efforts from the Ministry of Health and Municipals to conduct the prevention and control activities, the number of dengue cases continues to increase due to multiple uncontrolled factors. There are at least five major factors that influence the transmission of dengue disease which include the dengue virus, the human as the host, the environmental condition such as cleanliness, the vectors and its behavior and the climate change. Due to these multiple factors that influence the disease pathophysiology and transmission of dengue virus, the control of mosquito-borne viral infection is very challenging and different from managing other infectious diseases. In addition, the rapid urbanization, population growth and human behavior together with international travel, making the control of dengue transmission even more difficult. Based on the circumstances, Ministry of Health Malaysia has implemented the intergrated strategy for dengue prevention and control program in the National Dengue Strategic Plan (NDSP) since 2011. There are seven strategies included in the NDSP which is strengthening of the dengue surveillance, practicing intergrated vector management, emphasizing on the dengue case management, social and community mobilization towards the prevention activity, ensuring rapid response in managing the dengue outbreak and developing new innovative method through dengue research. Most of the factors that contribute to the occurrence of dengue cases are difficult to be controlled and these leave with only manipulation and intervention with the environment, vector control and changing the human behavior for the prevention and control of dengue.
    Matched MeSH terms: Climate Change
  18. Hii YL, Zaki RA, Aghamohammadi N, Rocklöv J
    Curr Environ Health Rep, 2016 Mar;3(1):81-90.
    PMID: 26931438 DOI: 10.1007/s40572-016-0078-z
    Dengue is a climate-sensitive infectious disease. Climate-based dengue early warning may be a simple, low-cost, and effective tool for enhancing surveillance and control. Scientific studies on climate and dengue in local context form the basis for advancing the development of a climate-based early warning system. This study aims to review the current status of scientific studies in climate and dengue and the prospect or challenges of such research on a climate-based dengue early warning system in a dengue-endemic country, taking Malaysia as a case study.
    Matched MeSH terms: Climate Change*
  19. Nawaz MA, Seshadri U, Kumar P, Aqdas R, Patwary AK, Riaz M
    Environ Sci Pollut Res Int, 2021 Feb;28(6):6504-6519.
    PMID: 32997248 DOI: 10.1007/s11356-020-10920-y
    Green finance is inextricably linked to investment risk, particularly in emerging and developing economies (EMDE). This study uses the difference in differences (DID) method to evaluate the mean causal effects of a treatment on an outcome of the determinants of scaling up green financing and climate change mitigation in the N-11 countries from 2005 to 2019. After analyzing with a dummy for the treated countries, it was confirmed that the outcome covariates: rescon (renewable energy sources consumption), population, FDI, CO2, inflation, technical corporation grants, domestic credit to the private sector, and research and development are very significant in promoting green financing and climate change mitigation in the study countries. The probit regression results give a different outcome, as rescon, FID, CO2, Human Development Index (HDI), and investment in the energy sector by the private sector that will likely have an impact on the green financing and climate change mitigation of the study countries. Furthermore, after matching the analysis through the nearest neighbor matching, kernel matching, and radius matching, it produced mixed results for both the treated and the untreated countries. Either group experienced an improvement in green financing and climate change mitigation or a decrease. Overall, the DID showed no significant difference among the countries.
    Matched MeSH terms: Climate Change*
  20. O'Brien MJ, Ong R, Reynolds G
    Glob Chang Biol, 2017 10;23(10):4235-4244.
    PMID: 28192618 DOI: 10.1111/gcb.13658
    Precipitation patterns are changing across the globe causing more severe and frequent drought for many forest ecosystems. Although research has focused on the resistance of tree populations and communities to these novel precipitation regimes, resilience of forests is also contingent on recovery following drought, which remains poorly understood, especially in aseasonal tropical forests. We used rainfall exclusion shelters to manipulate the interannual frequency of drought for diverse seedling communities in a tropical forest and assessed resistance, recovery and resilience of seedling growth and mortality relative to everwet conditions. We found seedlings exposed to recurrent periods of drought altered their growth rates throughout the year relative to seedlings in everwet conditions. During drought periods, seedlings grew slower than seedlings in everwet conditions (i.e., resistance phase) while compensating with faster growth after drought (i.e., recovery phase). However, the response to frequent drought was species dependent as some species grew significantly slower with frequent drought relative to everwet conditions while others grew faster with frequent drought due to overcompensating growth during the recovery phase. In contrast, mortality was unrelated to rainfall conditions and instead correlated with differences in light. Intra-annual plasticity of growth and increased annual growth of some species led to an overall maintenance of growth rates of tropical seedling communities in response to more frequent drought. These results suggest these communities can potentially adapt to predicted climate change scenarios and that plasticity in the growth of species, and not solely changes in mortality rates among species, may contribute to shifts in community composition under drought.
    Matched MeSH terms: Climate Change*
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