Geospatial Suitability Mapping of Climate-based Disease Transmission using Fuzzy Logic for Central India

2017 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Seema Mehra Parihar ◽  
Soma Sarkar ◽  
Premendra Kumar
Keyword(s):  
Fuzzy Logic ◽  
Relative Humidity ◽  
Malaria Transmission ◽  
Disease Transmission ◽  
Meteorological Data ◽  
Central India ◽  
Madhya Pradesh ◽  
Suitability Analysis ◽  
Transmission Window ◽  
Gis Software

Geographic Information System (GIS) today supports health and disease mapping in diverse ways. Present study divulges geographic dimensions of malaria disease in Madhya Pradesh and Chhattisgarh states located in Central India. Chhattisgarh is second and Madhya Pradesh is the third most malarious states after Odisha in India. In the present study, an attempt is made to map climate-based malaria transmission suitability using fuzzy logic for Central India. Temperature and relative humidity were selected as the two indicators for malaria transmission suitability analysis. District wise meteorological data for 2008 was used for the present study. Monthly temperature and relative humidity interpolation maps were generated using ‘Natural Neighbor’ interpolation algorithm. For both the indicators trapezoidal membership function was selected. Arc GIS software and its FUZZY tool were used to generate ‘climate suitability map’ for malaria transmission depicting the spatial distribution of Transmission Window length (in months) across the region. The findings illustrate that most districts of Chattisgarh and very few districts of Madhya Pradesh have transmission window open for more than 10 months and are identified as ‘High Endemic Regions’. Compared to Chhattisgarh, Madhya Pradesh experiences more numbers of least suitable months i.e. February, March, April and May. The study aims to benefit judicious decision making for efficient intervention implementation.

scholarly journals Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq

2012 ◽  
Vol 9 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Baghdad Science Journal
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Relative Humidity ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Hydrological Cycle ◽  
Meteorological Data ◽  
Accurate Estimation ◽  
Pan Evaporation ◽  
Inference System

Evaporation is one of the major components of the hydrological cycle in the nature, thus its accurate estimation is so important in the planning and management of the irrigation practices and to assess water availability and requirements. The aim of this study is to investigate the ability of fuzzy inference system for estimating monthly pan evaporation form meteorological data. The study has been carried out depending on 261 monthly measurements of each of temperature (T), relative humidity (RH), and wind speed (W) which have been available in Emara meteorological station, southern Iraq. Three different fuzzy models comprising various combinations of monthly climatic variables (temperature, wind speed, and relative humidity) were developed to evaluate effect of each of these variables on estimation process. Two error statistics namely root mean squared error and coefficient of determination were used to measure the performance of the developed models. The results indicated that the model, whose input variables are T, W, and RH, perform the best for estimating evaporation values. In addition, the model which is dominated by (T) is significantly and distinctly helps to prove the predictive ability of fuzzy inference system. Furthermore, agreements of the results with the observed measurements indicate that fuzzy logic is adequate intelligent approach for modeling the dynamic of evaporation process.

Role of Climatic Factors in Emergence of Sal Heartwood Borer, Hoplocerambyx spinicornis Newman, in Dindori Forest Division, Madhya Pradesh and its Management

2018 ◽  
Vol 41 (2) ◽  
pp. 149-159
Author(s):  
N. Roychoudhury ◽  
◽  
Dheeraj Kumar Gupta ◽  
Rajesh Kumar Mishra ◽  
◽  
...  
Keyword(s):  
Relative Humidity ◽  
Climatic Factors ◽  
Meteorological Data ◽  
Madhya Pradesh ◽  
Emergence Period ◽  
Forest Division ◽  
Sal Forest ◽  
June July ◽  
Girth Class

The present paper reports the emergence of sal heartwood borer, Hoplocerambyx spinicornis Newman (Coleoptera: Cerambycidae) and its infestation in Dindori Forest Division, Dindori, Madhya Pradesh, during the year 2012-2014.Out of the six sal forest ranges, viz. Bajag, East Karanjia, West Karanjia, Garasarai, North Samnapur and South Samnapur, sal borer incidence was recorded in five ranges, and there was no borer attacked trees noticed in sal forests of Garasarai range during the study period.The emergence of borer beetles started during the year 2012. The data on borer infestations revealed that a total of 699 sal trees were affected during the year 2012 in three ranges, viz. Bajag, East Karanjia, and South Samnapur, 6139 during 2013 in four ranges, viz. Bajag, East Karanjia, West Karanjia, and South Samnapur, 29382 during 2014 in five ranges, viz.Bajag, East Karanjia, West Karanjia, North Samnapur and South Samnapur. The average sal borer incidence was 0.02 tree/ha, 0.11 tree/ha, 0.45 tree/ha during the year 2012, 2013 and 2014 respectively. The maximum number of borer affected sal trees was recorded to be in Type T7 and girth class 121-150 cm GBH. The number of borer affected sal trees and sal borer incidence recorded during the study period was correlated with meteorological data, such as temperature, relative humidity and rainfall. The data on borer incidence when correlated with minimum, maximum, and mean temperatures, relative humidity and rainfall showed significant (P<0.05) negative correlation with relative humidity (r = -0.927), other parameters exhibited no conclusive (P>0.05) difference. Trap-tree operation was conducted during the emergence period (June-July) of sal borer beetles, in different affected compartments of Forest Ranges, for its collection. A total number of borer beetles trapped were 1285 during the year 2013, collected from three ranges, whereas during the year 2014 and 2015 beetletrapped was 4440 and 79186 collected from four and five ranges of the Division respectively. The collection of borer beetles reduced its incidence which reflects the efficiency of Trap-tree operation in management of sal borer. The results are discussed in the light of the present findings.

Fuzzy logic control of relative humidity in microwave drying of hawthorn

2021 ◽  
pp. 110706
Author(s):  
Jing Li ◽  
Zhenfeng Li ◽  
G.S.V. Raghavan ◽  
Feihu Song ◽  
Chunfang Song ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Relative Humidity ◽  
Fuzzy Logic Control ◽  
Microwave Drying ◽  
Logic Control

scholarly journals Basic Diagnosis and Prediction of Persistent Contrail Occurrence Using High-Resolution Numerical Weather Analyses/Forecasts and Logistic Regression. Part II: Evaluation of Sample Models

2009 ◽  
Vol 48 (9) ◽  
pp. 1790-1802 ◽  
Author(s):  
David P. Duda ◽  
Patrick Minnis
Keyword(s):  
Relative Humidity ◽  
Wind Direction ◽  
Meteorological Data ◽  
Logistic Models ◽  
Satellite Observations ◽  
Lapse Rate ◽  
Prediction System ◽  
Advanced Regional Prediction System ◽  
Regional Prediction ◽  
Surface Models

Abstract A probabilistic forecast to accurately predict contrail formation over the conterminous United States (CONUS) is created by using meteorological data based on hourly meteorological analyses from the Advanced Regional Prediction System (ARPS) and the Rapid Update Cycle (RUC) combined with surface and satellite observations of contrails. Two groups of logistic models were created. The first group of models (SURFACE models) is based on surface-based contrail observations supplemented with satellite observations of contrail occurrence. The most common predictors selected for the SURFACE models tend to be related to temperature, relative humidity, and wind direction when the models are generated using RUC or ARPS analyses. The second group of models (OUTBREAK models) is derived from a selected subgroup of satellite-based observations of widespread persistent contrails. The most common predictors for the OUTBREAK models tend to be wind direction, atmospheric lapse rate, temperature, relative humidity, and the product of temperature and humidity.

Statistical Analysis of Weather Effects on PM2.5

2012 ◽  
Vol 610-613 ◽  
pp. 1033-1040
Author(s):  
Wei Dai ◽  
Jia Qi Gao ◽  
Bo Wang ◽  
Feng Ouyang
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Statistical Methods ◽  
Predictive Analytics ◽  
Hypothesis Test ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Distribution ◽  
Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

scholarly journals Brief communication: Rare ambient saturation during drifting snow occurrences at a coastal location of East Antarctica

2019 ◽  
Vol 13 (12) ◽  
pp. 3405-3412 ◽  
Author(s):  
Charles Amory ◽  
Christoph Kittel
Keyword(s):  
Relative Humidity ◽  
Meteorological Data ◽  
Ice Sheet ◽  
Ambient Air ◽  
East Antarctica ◽  
Strong Increase ◽  
Katabatic Wind ◽  
Strong Wind ◽  
Near Surface ◽  
Drifting Snow

Abstract. Sublimation of snow particles during transport has been recognized as an important ablation process on the Antarctic ice sheet. The resulting increase in moisture content and cooling of the ambient air are thermodynamic negative feedbacks that both contribute to increase the relative humidity of the air, inhibiting further sublimation when saturation is reached. This self-limiting effect and the associated development of saturated near-surface air layers in drifting snow conditions have mainly been described through modelling studies and a few field observations. A set of meteorological data, including drifting snow mass fluxes and vertical profiles of relative humidity, collected at site D17 in coastal Adélie Land (East Antarctica) during 2013 is used to study the relationship between saturation of the near-surface atmosphere and the occurrence of drifting snow in a katabatic wind region that is among the most prone to snow transport by wind. Atmospheric moistening by the sublimation of the windborne snow particles generally results in a strong increase in relative humidity with the magnitude of drifting snow and a decrease in its vertical gradient, suggesting that windborne-snow sublimation can be an important contributor to the local near-surface moisture budget. Despite a high incidence of drifting snow at the measurement location (60.1 % of the time), saturation, when attained, is however most often limited to a thin air layer below 1 m above ground. The development of a near-surface saturated air layer up to the highest measurement level of 5.5 m is observed in only 8.2 % of the drifting snow occurrences or 6.3 % of the time and mainly occurs in strong wind speed and drift conditions. This relatively rare occurrence of ambient saturation is explained by the likely existence of moisture-removal mechanisms inherent to the katabatic and turbulent nature of the boundary-layer flow that weaken the negative feedback of windborne-snow sublimation. Such mechanisms, potentially quite active in katabatic-generated windborne-snow layers all over Antarctica, may be very important in understanding the surface mass and atmospheric moisture budgets of the ice sheet by enhancing windborne-snow sublimation.

scholarly journals IS HEMOGLOBIN E GENE WIDELY SPREAD IN THE STATE OF MADHYA PRADESH IN CENTRAL INDIA? EVIDENCE FROM FIVE TYPICAL FAMILIES

2014 ◽  
Vol 6 (1) ◽  
pp. e2014060 ◽  
Author(s):  
R S Balgir
Keyword(s):  
Sickle Cell ◽  
Clinical Manifestations ◽  
Central India ◽  
Madhya Pradesh ◽  
Red Cell ◽  
Hemoglobin E ◽  
Vulnerable People ◽  
Hb E ◽  
Double Heterozygosity ◽  
First Time

Background: Red cell inherited hemoglobin anomalies are commonly encountered in the central region of India. These cause a public health concern due to high degree of morbidity, mortality, and fetal loss in the backward, underprivileged, and vulnerable people. Purpose: To report five typical families of hemoglobin E disorders identified for the first time in the state of Madhya Pradesh from central India. Methods: Out of a total of 445 couples/families (excluding the present study) with 1526 persons (848 males and 678 females) referred from a tertiary hospital in central India for investigations of anemia/hemoglobinopathies during the period from March 2010 to February 2014, we came across five typical rare couples/families of hemoglobin E disorders worthy of detailed investigations. Laboratory investigations were carried out following the standard procedures after cross checking for quality control from time to time. Results: For the first time, we have encountered nine cases of heterozygous hemoglobin E trait, two members with hemoglobin E-β-thalassemia (double heterozygosity), two cases of sickle cell-hemoglobin E disease (double heterozygosity), and none with homozygous hemoglobin E. Cases  of hemoglobin E trait, hemoglobin E-β-thalassemia, sickle cell-β-thalassemia and sickle cell-E disease showed moderate to severe anemia, and target cells, and reduced values of red cell indices like RBC, Hb level, HCT, MCV, MCH and MCHC, representing abnormal hematological profile and clinical manifestations before blood transfusion. Conclusions: Double heterozygosity for hemoglobinopathies such as occurrence of β-thalassemia mutation with structurally abnormal hemoglobins (Hb S and Hb E) is a rare entity, but occurs with severe clinical manifestations only in those areas or communities where these are highly prevalent, testifying the migrations and genetic admixture. Distribution of hemoglobin E and β-thalassemia in different districts of Madhya Pradesh indicates that abnormal Hb E gene has wide spread and needs prevention for the rehabilitation of vulnerable people in central India. 

scholarly journals Impact of abiotic factors on build-up of citrus psylla, Diaphorina citri Kuwayama population in Punjab, India

2014 ◽  
Vol 6 (2) ◽  
pp. 371-376 ◽  
Author(s):  
Hijam S. Devi ◽  
D. R. Sharma
Keyword(s):  
Relative Humidity ◽  
Disease Transmission ◽  
Minimum Temperature ◽  
Abiotic Factors ◽  
Winter Season ◽  
Seasonal Abundance ◽  
Maximum Temperature ◽  
Weak Links ◽  
Diaphorina Citri ◽  
Citrus Psylla

Seasonal abundance of citrus psylla (Diaphorina citri) Kuwayama was studied on Kinnow mandarin under Punjab conditions during 2012 and 2013. Population of D. citri was present throughout the year but only adults found surviving during December and February. There was no nymphal population when maximum temperature was > 39°C or < 7°C. Two population peaks of nymphs wer e observed, first in April-May and second in August- September. Thereafter, there was abrupt decline in nymphal population during June and July during both the years when the weather conditions i.e. maximum, minimum temperature (°C), relative humidity (%), rainfall (m m) and sunshine (hrs) ranged from 24.4-44, 22.4-31.8, 25.5-100, 0-108.0 and 0-13.5, respectively. Highest peaks of adult were found during May followed by June. With the decrease in temperature from the end of September, the population of D. citri started to decrease and reached its lowest during winter season. Correlation analysis for both the years indicated that maximum and minimum temperature, sunshine and rainfall were positively correlated with nymphal, adult and mixed population but the effect of rainfall on adult population was non-significant, while relative humidity was negatively correlated. The study is useful to find out the weak links of psyllid populations in relation to abiotic factors and that could be exploited to curb its infestation and disease transmission.

scholarly journals Outbreak of gastroenteritis among medical students, Madhya Pradesh, Central India

2015 ◽  
Vol 6 (3) ◽  
pp. 25
Author(s):  
Surya Bali ◽  
Arti Gupta ◽  
BVenkatashiva Reddy ◽  
ArunM Kokane
Keyword(s):  
Medical Students ◽  
Central India ◽  
Madhya Pradesh

scholarly journals Emergence and expansion of highly infectious spike protein D614G mutant SARS-CoV-2 in central India

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shashi Sharma ◽  
Paban Kumar Dash ◽  
Sushil Kumar Sharma ◽  
Ambuj Srivastava ◽  
Jyoti S. Kumar ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Sequence Data ◽  
Central India ◽  
Madhya Pradesh ◽  
Whole Genome Sequence ◽  
Health Economy ◽  
Whole Genome ◽  
Evolutionary Patterns ◽  
First Case ◽  
Multiple Introduction

AbstractCOVID-19 has emerged as global pandemic with largest damage to the public health, economy and human psyche.The genome sequence data obtained during the ongoing pandemic are valuable to understand the virus evolutionary patterns and spread across the globe. Increased availability of genome information of circulating SARS-CoV-2 strains in India will enable the scientific community to understand the emergence of new variants and their impact on human health. The first case of COVID-19 was detected in Chambal region of Madhya Pradesh state in mid of March 2020 followed by multiple introduction events and expansion of cases within next three months. More than 5000 COVID-19 suspected samples referred to Defence Research and Development Establishment, Gwalior, Madhya Pradesh were analyzed during the nation -wide lockdown and unlock period. A total of 136 cases were found positive over a span of three months that included virus introduction to the region and its further spread. Whole genome sequences employing Oxford nanopore technology were generated for 26 SARS-CoV-2 circulating in 10 different districts in Madhya Pradesh state of India. This period witnessed index cases with multiple travel histories responsible for introduction of COVID-19 followed by remarkable expansion of virus. The genome wide substitutions including in important viral proteins were identified. The detailed phylogenetic analysis revealed the circulating SARS-CoV-2 clustered in multiple clades including A2a, A4 and B. The cluster-wise segregation was observed, suggesting multiple introduction links and subsequent evolution of virus in the region. This is the first comprehensive whole genome sequence analysis from central India, which revealed the emergence and evolution of SARS-CoV-2 during thenation-wide lockdown and unlock.

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