scholarly journals Landings of Acetes spp. in the east coast of Sabah in the past 30 years (1990-2019)

2021 ◽  
Vol 919 (1) ◽  
pp. 012013
Author(s):  
C A Chen ◽  
C A Belynnda ◽  
D K Stephenie ◽  
W L Ng ◽  
S Mustafa ◽  
...  
Keyword(s):  
Relative Humidity ◽  
East Coast ◽  
Annual Rainfall ◽  
Climatic Data ◽  
The Past ◽  
Mean Temperature ◽  
Correlation Tests ◽  
Climatic Event ◽  
A Minor ◽  
The Impact

Abstract The genus Acetes is a minor planktonic crustacean group, known by locals as ‘Udang Geragau’, ‘Udang Baring’ or ‘Bubok’ in different parts of Malaysia. The main objective of this research is to study the impact of climatic events on Acetes spp. landings at the East Coast of Sabah waters (Kudat and Tawau) in the past 30 years (1990-2019). Landing data on Acetes was obtained from the Fisheries Department of Sabah, Malaysia while the climatic data were provided by Malaysian Meteorological Department. One-way ANOVA analyses were conducted on the mean temperature, relative humidity, rainfall and the annual landings of Acetes spp. Pearson’s correlation test was later performed to measure relationship between the annual Acetes spp. landings and the variables as mentioned above. The results of correlation tests revealed that two variables (mean temperature and relative humidity) were having weak negative correlations with the annual landings in Kudat. Mean annual rainfall showed weak positive correlation with the Acetes landings in Tawau. The present study showed that changes in climatic event does influence the annual landings of Acetes spp. in the East Coast of Sabah.

scholarly journals The criterion of the presumption of biophysiological temperature and the cooling guide for the determination of human comfort in the City of Rutba

2018 ◽  
Vol 227 (2) ◽  
pp. 307-316
Author(s):  
Lect. Intisar Sukkar Khioun
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Climatic Data ◽  
Human Comfort ◽  
Air Movement ◽  
The Impact ◽  
The Relationship ◽  
The City ◽  
Climate Studies

     The relationship between man and climate is of great importance in climate studies, as climate is the most natural climatic element in the sense of comfort or distress of man, and humans can live comfortably if the degree of heat between (17-31 m) and the human feeling of heat and cold and then rest or discomfort not only caused by the air temperature but depends on many elements including solar radiation, air movement, relative humidity, the level of human activity and the type of clothing worn, and the presumption has used Biophysiological temperature and Cooling guide in this study to demonstrate the impact of climate on human comfort in the city of Rutba and relying on the climatic data for thirty years.

scholarly journals Effects of annual rainfall on dengue incidence in the Indian state of Rajasthan

2018 ◽  
Author(s):  
Nasir Salam
Keyword(s):  
Public Health ◽  
Monsoon Season ◽  
The State ◽  
Annual Rainfall ◽  
Strong Positive Correlation ◽  
The Past ◽  
Cumulative Rainfall ◽  
Dengue Outbreaks ◽  
Indian State ◽  
The Impact

AbstractDengue has become a major public health problem in the last few decades with India contributing significantly to the overall disease burden. Most of the cases of Dengue from India are reported during Monsoon season. The vector population of dengue is affected by seasonal rainfall, temperature and humidity fluctuations. Rajasthan is northwestern state of India, which has shown several dengue outbreaks in the past. In this paper we have tried to analyze the effects of annual cumulative rainfall on Dengue incidence in one of the largest and severely affected states of India. Retrospective data for Dengue incidence and Rainfall for the state of Rajasthan was collected and Pearson’s coefficient correlation was calculated as a measure of association between the variables. Our results indicate that annual cumulative rainfall shows a strong positive correlation with dengue incidence in the state of Rajasthan. Such analyses have the potential to inform public health official about the control and preparedness for vector control during monsoon season. This is the first study from the Indian state of Rajasthan to assess the impact of annual rainfall on dengue incidence, which has seen several dengue outbreaks in the past.

scholarly journals Impact of Weekly Climatic Variables on Weekly Malaria Incidence throughout Thailand: A Country-Based Six-Year Retrospective Study

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Manas Kotepui ◽  
Kwuntida Uthaisar Kotepui
Keyword(s):  
Relative Humidity ◽  
Malaria Incidence ◽  
Rank Correlation ◽  
Early Warning Systems ◽  
Climatic Data ◽  
Warning Systems ◽  
Awareness Campaigns ◽  
Spearman’S Rank Correlation ◽  
Mean Temperature ◽  
The Mean

Purpose. This study aimed to evaluate climatic data, including mean temperature, relative humidity, and rainfall, and their association with malaria incidence throughout Thailand from 2012 to 2017. The correlation of climatic parameters including temperature, relative humidity, and rainfall in each province and the weekly malaria incidence was analyzed using Spearman’s rank correlation. The results showed that the mean temperature correlated with malaria incidence (p value < 0.05) in 44 provinces in Thailand. These correlations were frequently found in the western and southern parts of Thailand. Relative humidity correlated with malaria incidence (p value < 0.05) in 35 provinces. These correlations were frequently found in the northern and northeastern parts of Thailand. Rainfall correlated with malaria incidence (p value < 0.05) in 38 provinces. These correlations were frequently found in the northern parts and some western parts of Thailand. The impacts of the mean temperature, relative humidity, and rainfall were observed frequently in specific provinces, including Chiang Mai, Chiang Rai, Trat, Kanchanaburi, Ubonratchathani, and Si Sa Ket. This is the first study to report areas where climatic data are associated with malaria incidence throughout Thailand from 2012 to 2017. These results can map out the climatic change process over time and across the country, which is the foundation for effective early warning systems for malaria, public health awareness campaigns, and the adoption of proper adaption measures that will help in malaria detection, diagnosis, and treatment.

Impact of climate change on yields of major agricultural crops in Tripura

2017 ◽  
Vol 51 (04) ◽  
Author(s):  
Bhargabi Chakraborty ◽  
Sujoy Hazari
Keyword(s):  
Climate Change ◽  
Relative Humidity ◽  
Fixed Effects ◽  
Climate Model ◽  
Kendall Test ◽  
Significant Rise ◽  
Annual Rainfall ◽  
Evaporative Demand ◽  
Impact Of Climate Change ◽  
The Impact

The impact of climate change is studied in many aspects in different locations in the country and it is concluded that there is high impact on agriculture compared to any other sector in the country. In the present study, long time (1996-2015) weather variables have been analyzed to trend changes using non-parametric Mann Kendall test in Tripura (2309408‘N latitude, 9109882‘ E longitude), located in the North-Eastern Hill Regions of India, representing agro-climatic zone of Mild Tropical Plain Zone. Significant rise in temperature, confounding rainfall amount, distribution and frequency variability, decline in atmospheric evaporative demand via complementary relationship with relative humidity provides sufficient indication that like other parts of India and the Tripura located at NE Region is also experiencing the regional impact of climate change, though the magnitude of change may not be the same. The Evaporation and Relative humidity effects have been found significant almost all the crops, indicating that inclusion of spatial fixed effects in climate model is important for controlling time-invariant location specific characteristics. The annual rainfall was found to be significant effect to rice productivity and temperature was significant to the crop line maize and groundnut.

scholarly journals Modelling Trends of Climatic Variability and Malaria in Ghana Using Vector Autoregression

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sylvia Ankamah ◽  
Kaku S. Nokoe ◽  
Wahab A. Iddrisu
Keyword(s):  
Relative Humidity ◽  
Vector Autoregression ◽  
Climatic Variability ◽  
Age Groups ◽  
Sub Saharan Africa ◽  
Climatic Variables ◽  
Health Concern ◽  
Maximum Temperature ◽  
Climatic Data ◽  
The Impact

Malaria is considered endemic in over hundred countries across the globe. Many cases of malaria and deaths due to malaria occur in Sub-Saharan Africa. The disease is of great public health concern since it affects people of all age groups more especially pregnant women and children because of their vulnerability. This study sought to use vector autoregression (VAR) models to model the impact of climatic variability on malaria. Monthly climatic data (rainfall, maximum temperature, and relative humidity) from 2010 to 2015 were obtained from the Ghana Meteorological Agency while data on malaria for the same period were obtained from the Ghana Health Service. Results of the Granger and instantaneous causality tests led to a conclusion that malaria is influenced by all three climatic variables. The impulse response analyses indicated that the highest positive effect of maximum temperature, relative humidity, and rainfall on malaria is observed in the months of September, March, and October, respectively. The decomposition of forecast variance indicates varying degree of malaria dependence on the climatic variables, with as high as 12.65% of the variability in the trend of malaria which has been explained by past innovations in maximum temperature alone. This is quite significant and therefore, policy-makers should not ignore temperature when formulating policies to address malaria.

LƏNKƏRAN VİLAYƏTİNDƏ İQLİM DƏYİŞKƏNLİYİNİN YAĞINTI REJİMİNƏ TƏSİRİ

2021 ◽  
Vol 1 (1) ◽  
pp. 55-65
Author(s):  
C. S. Hüseynov
Keyword(s):  
Climate Change ◽  
Climate Change Mitigation ◽  
Global Climate ◽  
Annual Rainfall ◽  
The Past ◽  
Average Annual Temperature ◽  
Wide Range ◽  
The Impact ◽  
Change Mitigation ◽  
Rainfall Regimes

Abstract: The article examines the impact of global climate change on rainfall regimes in lankaran natural province. The study used rainfall and temperature monitoring data from 5 meteorological stations registered for 1991-2016. Different (month, section, seasonal, and annual) rainfall indicators were compared with the same quantities of 1961-1990. Multiculturalism was examined over two periods (1991-2004-I, 2005-2016-II). based on the research, the average annual temperature in the province over the past 25 years is 14-16°C at the coastal and adjacent stations, 11-13°C in the lowlands, and 8-10°C in the middle. however, the average annual temperature has increased by 0.7°C compared to 1961-1990. Over the years, precipitation has been distributed over a wide range (330-1220 mm), depending on the stations. During the period from 1991 to 2016, annual rainfall increased slightly at Kelvez station, but decreased by 9% compared to the norm at other stations (1961- 1990). Keywords: Climate change, mitigation, concentration, ecodynamics, amplitude, evolution, norma value, correlation, interpolation, trend.

scholarly journals Shifts in the epidemic season of human respiratory syncytial virus associated with inbound overseas travelers and meteorological conditions in Japan, 2014–2017: An ecological study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248932
Author(s):  
Keita Wagatsuma ◽  
Iain S. Koolhof ◽  
Yugo Shobugawa ◽  
Reiko Saito
Keyword(s):  
Respiratory Syncytial Virus ◽  
Relative Humidity ◽  
Meteorological Conditions ◽  
Human Respiratory Syncytial Virus ◽  
Japan Meteorological Agency ◽  
Population Increase ◽  
Epidemic Season ◽  
Mean Temperature ◽  
Syncytial Virus ◽  
The Impact

Few studies have examined the effects of inbound overseas travelers and meteorological conditions on the shift in human respiratory syncytial virus (HRSV) season in Japan. This study aims to test whether the number of inbound overseas travelers and meteorological conditions are associated with the onset week of HRSV epidemic season. The estimation of onset week for 46 prefectures (except for Okinawa prefecture) in Japan for 4-year period (2014–2017) was obtained from previous papers based on the national surveillance data. We obtained data on the yearly number of inbound overseas travelers and meteorological (yearly mean temperature and relative humidity) conditions from Japan National Tourism Organization (JNTO) and Japan Meteorological Agency (JMA), respectively. Multi-level mixed-effects linear regression analysis showed that every 1 person (per 100,000 population) increase in number of overall inbound overseas travelers led to an earlier onset week of HRSV epidemic season in the year by 0.02 week (coefficient –0.02; P<0.01). Higher mean temperature and higher relative humidity were also found to contribute to an earlier onset week by 0.30 week (coefficient –0.30; P<0.05) and 0.18 week (coefficient –0.18; P<0.01), respectively. Additionally, models that included the number of travelers from individual countries (Taiwan, South Korea, and China) except Australia showed that both the number of travelers from each country and meteorological conditions contributed to an earlier onset week. Our analysis showed the earlier onset week of HRSV epidemic season in Japan is associated with increased number of inbound overseas travelers, higher mean temperature, and relative humidity. The impact of international travelers on seasonality of HRSV can be further extended to investigations on the changes of various respiratory infectious diseases especially after the coronavirus disease 2019 (COVID-19) pandemic.

scholarly journals Сurrent condition of pine plantations of Kyiv Polisya under the influence of environmental factors

2021 ◽  
pp. 139-149
Author(s):  
V. V. Moroz ◽  
Yu. A. Nykytyuk
Keyword(s):  
Solar Activity ◽  
Relative Humidity ◽  
Co2 Emissions ◽  
Air Temperature ◽  
Pine Plantations ◽  
Heterobasidion Annosum ◽  
Annual Rainfall ◽  
Study Region ◽  
The Past ◽  
Significant Damage

The article describes the climate change in the study region for the period 1968-2020. It was specified that over the past fifty-nine years there has been an increase in average annual air temperature by 2,5°C, a decrease in relative humidity by 6,0% and average annual rainfall by 5 mm. According to the analysis, it was determined that during the period 2009-2020 significant damage to pine plantations of Kyiv Polissya is caused by the pests like common pine sawfly (Diprion pini L.), pine bark beetle (Aradus cinnamomeus Panz), pine silkworm (Dendrolimus pini L.), pine weevil (Leucaspis pusilla Loew), and pine star weaver (Acantholyda nemoralis Matsumura). Heterobasidion annosum (Fr.) Bref. has also caused a significant damage to pine forests over the past eleven years; the damaged area is of ​​12,8-15,9 thousand hectares. According to the hydrothermal analysis of the study area, it was determined that 2009 and 2015 were characterized as years of medium drought; 2010, 2016, 2017, 2020 were the years of low drought; 2011–2014, 2018, 2019 were the years of sufficient moisture supply. The analysis of the number W influence found that in the years of increased solar activity the number of phytopests increases, while in the years of minimal solar activity it decreases. Based on the statistical indicators, the analysis of CO2 emissions into the environment for the period 2009-2020 and it was found that since 2012 the amount of carbon dioxide emissions has decreased from 10,2 million tons to 3.7 million tons. Correlation analysis of all indicators showed the interaction between the area of ​​damaged trees by insect pests and the Wolf number, CO2 emissions into the environment, average annual precipitation amounts and hydrothermal moisture coefficient of Selyaninov G.T. There is also a correlation between the area of ​​damaged plantations by pine fungus and the average annual air temperature, relative humidity and CO2 emissions.

scholarly journals The impact of non-health attributes of care on patients' choice of GP

2005 ◽  
Vol 11 (1) ◽  
pp. 40 ◽  
Author(s):  
Marion Haas
Keyword(s):  
General Practice ◽  
General Practitioner ◽  
Discrete Choice ◽  
Choice Experiment ◽  
The Past ◽  
Health Factors ◽  
General Practice Consultation ◽  
Minor Condition ◽  
A Minor ◽  
The Impact

After completing a structured evaluation of their general practitioner (GP) in terms of non-health factors, 128 people who had visited their GP in the past six months for treatment of a minor condition were administered a discrete choice experiment (DCE) designed to evaluate their preferences for non-health attributes of care within a general practice consultation. SAS and SYSTAT were used to analyse responses. Trust, legitimation, recognition of and support for emotional distress, dignity, reassurance and information (whether it is asked for or not), were the attributes respondents valued most highly. In general, participants were unwilling to change GPs.

scholarly journals Climate Change Impact on Aflatoxin Contamination Risk in Malawi's Maize Crops

2020 ◽  
Vol 4 ◽  
Author(s):  
Erika A. Warnatzsch ◽  
David S. Reay ◽  
Marco Camardo Leggieri ◽  
Paola Battilani
Keyword(s):  
Climate Models ◽  
Mechanistic Model ◽  
Climatic Conditions ◽  
Aflatoxin Contamination ◽  
Annual Rainfall ◽  
Climatic Data ◽  
Contamination Risk ◽  
Aquacrop Model ◽  
Maize Varieties ◽  
The Impact

Malawi is one of the poorest countries in the world, with high levels of malnutrition and little domestic mycotoxin regulation. Domestically grown maize is the largest single source of calories in the country and a large contributor to the economy. This research uses Regional Climate Models (RCMs) to determine the climatic conditions in the three regions of Malawi (Northern, Central and Southern) in 2035 (2020–2049) and 2055 (2040–2069) as compared to the baseline climate of 1971–2000. This climatic data is then used as inputs to the Food and Agriculture Organization's (FAO) AquaCrop model to assess the impact on the growth cycle of two maize varieties grown in each region and sown at three different times during the planting season. Finally, AFLA-maize, a mechanistic model, is applied to determine the impact of these projected changes on the aflatoxin B1 (AFB1) contamination risk. We find that Malawi's climate is projected to get warmer (by 1–2.5°C) and drier (reduction of 0–4% in annual rainfall levels) in all regions, although some uncertainty remains around the changes in precipitation levels. These climatic changes are expected to shorten the growing season for maize, bringing the harvest date forward by between 10 and 25 days for the short-development variety and between 25 and 65 days for the long-development variety. These changes are also projected to make the pre-harvest conditions for Malawian maize more favorable for AFB1 contamination and risk maps for the studied conditions were drawn. Exceedances of EU safety thresholds are expected to be possible in all regions, with the risk of contamination moving northwards in a warming climate.

Sign in / Sign up

Export Citation Format

Share Document