Multiple regression method to model malarial cases and mosquito population using malaria disease cases, rainfall, temperature, relative humidity and mosquito populations.

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis

Srimath-Tirumula-Peddinti Ravi Chandra Pavan Kumar
Neelapu Nageswara Rao Reddy
Sidagam Naresh

June 2015

Malarial incidence, severity, dynamics and distribution of malaria are strongly determined by climat...

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti
Nageswara Rao Reddy Neelapu
Naresh Sidagam

Malarial incidence, severity, dynamics and distribution of malaria are strongly determined by climat...

Results of multiple regression analysis.

David W. Crowder (278007)
Elizabeth A. Dykstra (278008)
Jo Marie Brauner (278009)
Anne Duffy (278010)
Caitlin Reed (278011)
Emily Martin (278012)
Wade Peterson (278013)
Yves Carrière (2911511)
Pierre Dutilleul (154877)
Jeb P. Owen (251940)

January 2013

Results from a multiple regression model on effects of land-use and climate on mosquito and bird ...

Forecasted values modeled using ARIMA model and multiple regressions for malarial disease cases, rainfall, minimum temperature, maximum temperature, relative humidity’s and mosquito populations.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti (760882)
Nageswara Rao Reddy Neelapu (760883)
Naresh Sidagam (760884)

June 2015

Forecasted values modeled using ARIMA model and multiple regressions for malarial disease cases, ...

Graph on observed and expected numbers predicted using multiple regression method A) number of malarial cases and B) mosquito populations.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti (760882)
Nageswara Rao Reddy Neelapu (760883)
Naresh Sidagam (760884)

June 2015

Graph on observed and expected numbers predicted using multiple regression method A) number of ma...

Multiple regression analysis for assessment of mosquito larvae abundance in presence of different physico-chemical parameters in habitats (significant values are bolded).

Eliningaya J. Kweka (293620)
Guofa Zhou (34790)
Stephen Munga (293621)
Ming-Chieh Lee (293623)
Harrysone E. Atieli (293625)
Mramba Nyindo (293627)
Andrew K. Githeko (36150)
Guiyun Yan (137540)

February 2013

Multiple regression analysis for assessment of mosquito larvae abundance in presence of different...

Multiple regression analysis to investigate mosquito larvae abundance in different habitat size, habitat types and number of dips made (significant values are bolded).

Eliningaya J. Kweka (293620)
Guofa Zhou (34790)
Stephen Munga (293621)
Ming-Chieh Lee (293623)
Harrysone E. Atieli (293625)
Mramba Nyindo (293627)
Andrew K. Githeko (36150)
Guiyun Yan (137540)

February 2013

Multiple regression analysis to investigate mosquito larvae abundance in different habitat size, ...

Multi-step polynomial regression method to model and forecast malaria incidence.

Chandrajit Chatterjee
Ram Rup Sarkar

Malaria is one of the most severe problems faced by the world even today. Understanding the causativ...

Results of stepwise multiple linear regression analyses of abundances of the eight most frequent mosquito species as functions of temperature (monthly maximum and minimum), rainfall and relative humidity in the same or previous month.

Jeronimo Alencar (713766)
Cecilia Ferreira de Mello (713767)
Anthony Érico Guimarães (713768)
Hélcio R. Gil-Santana (713769)
Júlia dos Santos Silva (713770)
Jacenir R. Santos- Mallet (713771)
Raquel M. Gleiser (713772)

March 2015

Only variables with p < 0.05 were included.Tmax = Monthly maximum temperature; Tmin = Mont...

Results of stepwise multiple linear regression analyses of mosquito abundance and measures of diversity as functions of temperature (monthly maximum and minimum), rainfall and relative humidity in the same or previous month.

Jeronimo Alencar (713766)
Cecilia Ferreira de Mello (713767)
Anthony Érico Guimarães (713768)
Hélcio R. Gil-Santana (713769)
Júlia dos Santos Silva (713770)
Jacenir R. Santos- Mallet (713771)
Raquel M. Gleiser (713772)

March 2015

Only variables with p< 0.05 were retained.Tmax (prev) = Monthly maximum temperature of the...

Multi-step polynomial regression method to model and forecast malaria incidence. PLoS One 2009

Rajit Chatterjee
Ram Rup Sarkar

August 2016

Malaria is one of the most severe problems faced by the world even today. Understanding the causativ...

Multiple regression analysis for mosquito larvae abundance influenced the presence of the five predator species (significant values are bolded).

Eliningaya J. Kweka (293620)
Guofa Zhou (34790)
Stephen Munga (293621)
Ming-Chieh Lee (293623)
Harrysone E. Atieli (293625)
Mramba Nyindo (293627)
Andrew K. Githeko (36150)
Guiyun Yan (137540)

February 2013

Multiple regression analysis for mosquito larvae abundance influenced the presence of the five pr...

Time series multivariable regression estimates of the relationship between average monthly rainfall, temperature and cases of malaria confirmed by zone.

Timothy Awine (91807)
Keziah Malm (3408257)
Nana Yaw Peprah (4804200)
Sheetal P. Silal (4804197)

January 2018

Time series multivariable regression estimates of the relationship between average monthly rainfa...

Results of generalized linear models (Poisson Regression Model) to test three explanatory variables of the density of each mosquito species.

Su Hyun Lee (436794)
Kwang Woo Nam (436795)
Ji Yeon Jeong (436796)
Seung Jin Yoo (436797)
Young-Sang Koh (245445)
Seogjae Lee (436798)
Sang Taek Heo (436799)
Seung-Yong Seong (269194)
Keun Hwa Lee (436800)

July 2013

aMean temperature = Monthly mean temperature for each site;bAmount of precipitation = Mont...

Partial autocorrelations coefficients on monthly data for A) malarial cases B) total rainfall C) minimum temperature D) maximum temperature E) relative humidity 1 F) relative humidity 2 and G) mosquito populations in District of Visakhapatnam to understand the order of ARIMA (1) model.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti (760882)
Nageswara Rao Reddy Neelapu (760883)
Naresh Sidagam (760884)

June 2015

Partial autocorrelations coefficients on monthly data for A) malarial cases B) total rainfall C) ...

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis

Srimath-Tirumula-Peddinti Ravi Chandra Pavan Kumar
Neelapu Nageswara Rao Reddy
Sidagam Naresh

June 2015

Malarial incidence, severity, dynamics and distribution of malaria are strongly determined by climat...

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti
Nageswara Rao Reddy Neelapu
Naresh Sidagam

Malarial incidence, severity, dynamics and distribution of malaria are strongly determined by climat...

Results of multiple regression analysis.

David W. Crowder (278007)
Elizabeth A. Dykstra (278008)
Jo Marie Brauner (278009)
Anne Duffy (278010)
Caitlin Reed (278011)
Emily Martin (278012)
Wade Peterson (278013)
Yves Carrière (2911511)
Pierre Dutilleul (154877)
Jeb P. Owen (251940)

January 2013

Results from a multiple regression model on effects of land-use and climate on mosquito and bird ...

Forecasted values modeled using ARIMA model and multiple regressions for malarial disease cases, rainfall, minimum temperature, maximum temperature, relative humidity’s and mosquito populations.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti (760882)
Nageswara Rao Reddy Neelapu (760883)
Naresh Sidagam (760884)

June 2015

Forecasted values modeled using ARIMA model and multiple regressions for malarial disease cases, ...

Graph on observed and expected numbers predicted using multiple regression method A) number of malarial cases and B) mosquito populations.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti (760882)
Nageswara Rao Reddy Neelapu (760883)
Naresh Sidagam (760884)

June 2015

Graph on observed and expected numbers predicted using multiple regression method A) number of ma...

Multiple regression analysis for assessment of mosquito larvae abundance in presence of different physico-chemical parameters in habitats (significant values are bolded).

Eliningaya J. Kweka (293620)
Guofa Zhou (34790)
Stephen Munga (293621)
Ming-Chieh Lee (293623)
Harrysone E. Atieli (293625)
Mramba Nyindo (293627)
Andrew K. Githeko (36150)
Guiyun Yan (137540)

February 2013

Multiple regression analysis for assessment of mosquito larvae abundance in presence of different...

Multiple regression analysis to investigate mosquito larvae abundance in different habitat size, habitat types and number of dips made (significant values are bolded).

Eliningaya J. Kweka (293620)
Guofa Zhou (34790)
Stephen Munga (293621)
Ming-Chieh Lee (293623)
Harrysone E. Atieli (293625)
Mramba Nyindo (293627)
Andrew K. Githeko (36150)
Guiyun Yan (137540)

February 2013

Multiple regression analysis to investigate mosquito larvae abundance in different habitat size, ...

Multi-step polynomial regression method to model and forecast malaria incidence.

Chandrajit Chatterjee
Ram Rup Sarkar

Malaria is one of the most severe problems faced by the world even today. Understanding the causativ...

Results of stepwise multiple linear regression analyses of abundances of the eight most frequent mosquito species as functions of temperature (monthly maximum and minimum), rainfall and relative humidity in the same or previous month.

Jeronimo Alencar (713766)
Cecilia Ferreira de Mello (713767)
Anthony Érico Guimarães (713768)
Hélcio R. Gil-Santana (713769)
Júlia dos Santos Silva (713770)
Jacenir R. Santos- Mallet (713771)
Raquel M. Gleiser (713772)

March 2015

Only variables with p < 0.05 were included.Tmax = Monthly maximum temperature; Tmin = Mont...

Results of stepwise multiple linear regression analyses of mosquito abundance and measures of diversity as functions of temperature (monthly maximum and minimum), rainfall and relative humidity in the same or previous month.

Jeronimo Alencar (713766)
Cecilia Ferreira de Mello (713767)
Anthony Érico Guimarães (713768)
Hélcio R. Gil-Santana (713769)
Júlia dos Santos Silva (713770)
Jacenir R. Santos- Mallet (713771)
Raquel M. Gleiser (713772)

March 2015

Only variables with p< 0.05 were retained.Tmax (prev) = Monthly maximum temperature of the...

Multi-step polynomial regression method to model and forecast malaria incidence. PLoS One 2009

Rajit Chatterjee
Ram Rup Sarkar

August 2016

Malaria is one of the most severe problems faced by the world even today. Understanding the causativ...

Multiple regression analysis for mosquito larvae abundance influenced the presence of the five predator species (significant values are bolded).

Eliningaya J. Kweka (293620)
Guofa Zhou (34790)
Stephen Munga (293621)
Ming-Chieh Lee (293623)
Harrysone E. Atieli (293625)
Mramba Nyindo (293627)
Andrew K. Githeko (36150)
Guiyun Yan (137540)

February 2013

Multiple regression analysis for mosquito larvae abundance influenced the presence of the five pr...

Time series multivariable regression estimates of the relationship between average monthly rainfall, temperature and cases of malaria confirmed by zone.

Timothy Awine (91807)
Keziah Malm (3408257)
Nana Yaw Peprah (4804200)
Sheetal P. Silal (4804197)

January 2018

Time series multivariable regression estimates of the relationship between average monthly rainfa...

Results of generalized linear models (Poisson Regression Model) to test three explanatory variables of the density of each mosquito species.

Su Hyun Lee (436794)
Kwang Woo Nam (436795)
Ji Yeon Jeong (436796)
Seung Jin Yoo (436797)
Young-Sang Koh (245445)
Seogjae Lee (436798)
Sang Taek Heo (436799)
Seung-Yong Seong (269194)
Keun Hwa Lee (436800)

July 2013

aMean temperature = Monthly mean temperature for each site;bAmount of precipitation = Mont...

Partial autocorrelations coefficients on monthly data for A) malarial cases B) total rainfall C) minimum temperature D) maximum temperature E) relative humidity 1 F) relative humidity 2 and G) mosquito populations in District of Visakhapatnam to understand the order of ARIMA (1) model.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti (760882)
Nageswara Rao Reddy Neelapu (760883)
Naresh Sidagam (760884)

June 2015

Partial autocorrelations coefficients on monthly data for A) malarial cases B) total rainfall C) ...

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis

Srimath-Tirumula-Peddinti Ravi Chandra Pavan Kumar
Neelapu Nageswara Rao Reddy
Sidagam Naresh

June 2015

Malarial incidence, severity, dynamics and distribution of malaria are strongly determined by climat...

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis.

Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti
Nageswara Rao Reddy Neelapu
Naresh Sidagam

Malarial incidence, severity, dynamics and distribution of malaria are strongly determined by climat...

Results of multiple regression analysis.

David W. Crowder (278007)
Elizabeth A. Dykstra (278008)
Jo Marie Brauner (278009)
Anne Duffy (278010)
Caitlin Reed (278011)
Emily Martin (278012)
Wade Peterson (278013)
Yves Carrière (2911511)
Pierre Dutilleul (154877)
Jeb P. Owen (251940)

January 2013

Results from a multiple regression model on effects of land-use and climate on mosquito and bird ...

Multiple regression method to model malarial cases and mosquito population using malaria disease cases, rainfall, temperature, relative humidity and mosquito populations.

Abstract

Extracted data

Multiple regression method to model malarial cases and mosquito population using malaria disease cases, rainfall, temperature, relative humidity and mosquito populations.

Abstract

Extracted data

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