Ecological factors associated with abundance and distribution of mosquito vectors of Rift Valley fever virus during an epidemic period in Isiolo, Kenya
Poster by Max Korir, Joel Lutomiah and Bernard Bett presented the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
One health Perspective and Vector Borne DiseasesNanyingi Mark
Vector borne diseases like malaria and Rift Valley fever pose significant risks to human and animal health in Africa. One Health approaches that consider the environmental, animal, and human factors are needed to develop early warning systems. The document discusses developing tools to detect climate sensitive disease outbreaks and assessing environmental and vector characteristics. It also presents models of Rift Valley fever transmission dynamics and the importance of vertical transmission between outbreaks. Spatial distribution models of Rift Valley fever vectors in Kenya were developed using climatic and ecological variables. The results can help target surveillance and control in high-risk areas.
Early warning Systems for Vector Borne Climate Sensitive Diseases to Improve...Nanyingi Mark
The document discusses developing an early warning system for vector-borne diseases like malaria and Rift Valley fever in Kenya. It aims to 1) develop tools to detect likely disease outbreaks and 2) assess climate, hydrological, ecosystem and vector factors in high risk areas. The study will analyze disease prevalence, climate/environmental data, and vector surveillance to develop maps overlaying risk factors and disease patterns. This will inform development of predictive models, identify hotspots, and support early warnings to improve human health and resilience against climate-sensitive diseases.
Spatial risk assessment of Rift Valley Fever potential outbreaks using a vect...Nanyingi Mark
Rift Valley fever (RVF) is a vector-borne, viral, zoonotic disease that threatens human and animal health. In Kenya the geographical distribution is determined by spread of competent transmission vectors. Existing RVF predictive risk maps are devoid of vectors interactions with eco-climatic parameters in emergence of disease. We envisage to develop a vector surveillance system (VSS) by mapping the distribution of potential RVF competent vectors in Kenya; To evaluate the correlation between mosquito distribution and environmental-climatic attributes favoring emergence of RVF and investigate by modeling the climatic, ecological and environmental drivers of RVF outbreaks and develop a risk map for spatial prediction of RVF outbreaks in Kenya. Using a cross-sectional design we classified Kenya into 30 spatial units/districts (15 case, 15 control for RVF) based on historical RVF outbreaks weighted probability indices for endemicity. Entomological and ecological surveillance using GPS mapping and monthly (May 2013- February 2014) trapping of mosquitoes is alternatively done in case and control areas. 2500 mosquitoes have been collected in 15 districts (50% geographical target for each for case and control). Species identified as (Culicines-86%, Anophelines-9.7%, Aedes- 2.6%) with over 65% distribution in RVF endemic areas. We demonstrate the applications of spatial epidemiology using GIS to illustrate RVF risk distribution and propose utilizing a Maximum Entropy (MaxEnt) approach to develop Ecological Niche Models (ENM) for prediction of competent RVF vector distributions in un-sampled areas. Targeting RVF hotspots can minimize the costs of large-scale vector surveillance hence enhancing vaccination and vector control strategies. A replicable VSS database and methods can be used for risk analysis of other vector-borne diseases.
Ecological Niche Modelling of Potential RVF Vector Mosquito Species and their...Nanyingi Mark
This document summarizes a study on ecological niche modeling and spatial risk analysis of Rift Valley Fever vectors in Kenya. The study aimed to evaluate the correlation between mosquito distribution and environmental factors associated with RVF outbreaks. Maximum entropy, boosted regression trees, and random forest models were used to develop risk maps predicting the potential spread of RVF vectors based on climatic and environmental variables. The models found that variables like rainfall, number of dry months, and moisture indices influenced the distributions of Culex and Aedes mosquitoes. The risk maps developed can help target RVF surveillance and control in high-risk areas. Limitations included lack of data from known outbreak hotspots and unreliable local climatic/ecological databases
Climate change and infectious livestock diseases: The case of Rift Valley fev...ILRI
Infographic by Bernard Bett, Johanna Lindahl and Delia Grace prepared as part of graphical notes to "The Climate-smart agriculture papers: Investigating the business of a productive, resilient and low emission future", December 2018.
Ecohealth 2014 gianni lo iacono presentation on integrative modellingNaomi Marks
'A mechanistic model at the interface between epidemiology, ecology and environmental drivers', presented by Gianni Lo Iacono as part of a panel presentation on integrative modelling from the Dynamic Drivers of Disease Consortium at Ecohealth 2014
Rift Valley fever virus lineages from selected sites in Kenya, 1997–2020ILRI
Poster by Konongoi Limbaso, John Juma, Solomon Langat, Kristina Roesel, Rosemary Sang, Bernard Bett and Samuel Oyola presented at the Boosting Uganda's Investment in Livestock Development (BUILD) project annual planning meeting, Kampala, Uganda, 20–22 September 2022.
Mapping the risk of Rift Valley fever in UgandaILRI
This study analyzed data from Rift Valley fever (RVF) outbreaks and serological surveys in Uganda to map the risk of RVF transmission. Surveillance records, serological surveys of cattle, sheep and goats, and spatial data on climate/ecology were analyzed. Observed outbreaks were mapped to identify occurrence patterns. Serological data were modeled using logistic regression to identify animal-level exposure factors. A geostatistical model predicted spatial patterns of endemic infection. The final serological model was used to predict areas of exposure risk based on ecological variables. Results identified areas at high transmission risk, especially during wet seasons, and pointed to the need for active surveillance in predicted risk areas.
One health Perspective and Vector Borne DiseasesNanyingi Mark
Vector borne diseases like malaria and Rift Valley fever pose significant risks to human and animal health in Africa. One Health approaches that consider the environmental, animal, and human factors are needed to develop early warning systems. The document discusses developing tools to detect climate sensitive disease outbreaks and assessing environmental and vector characteristics. It also presents models of Rift Valley fever transmission dynamics and the importance of vertical transmission between outbreaks. Spatial distribution models of Rift Valley fever vectors in Kenya were developed using climatic and ecological variables. The results can help target surveillance and control in high-risk areas.
Early warning Systems for Vector Borne Climate Sensitive Diseases to Improve...Nanyingi Mark
The document discusses developing an early warning system for vector-borne diseases like malaria and Rift Valley fever in Kenya. It aims to 1) develop tools to detect likely disease outbreaks and 2) assess climate, hydrological, ecosystem and vector factors in high risk areas. The study will analyze disease prevalence, climate/environmental data, and vector surveillance to develop maps overlaying risk factors and disease patterns. This will inform development of predictive models, identify hotspots, and support early warnings to improve human health and resilience against climate-sensitive diseases.
Spatial risk assessment of Rift Valley Fever potential outbreaks using a vect...Nanyingi Mark
Rift Valley fever (RVF) is a vector-borne, viral, zoonotic disease that threatens human and animal health. In Kenya the geographical distribution is determined by spread of competent transmission vectors. Existing RVF predictive risk maps are devoid of vectors interactions with eco-climatic parameters in emergence of disease. We envisage to develop a vector surveillance system (VSS) by mapping the distribution of potential RVF competent vectors in Kenya; To evaluate the correlation between mosquito distribution and environmental-climatic attributes favoring emergence of RVF and investigate by modeling the climatic, ecological and environmental drivers of RVF outbreaks and develop a risk map for spatial prediction of RVF outbreaks in Kenya. Using a cross-sectional design we classified Kenya into 30 spatial units/districts (15 case, 15 control for RVF) based on historical RVF outbreaks weighted probability indices for endemicity. Entomological and ecological surveillance using GPS mapping and monthly (May 2013- February 2014) trapping of mosquitoes is alternatively done in case and control areas. 2500 mosquitoes have been collected in 15 districts (50% geographical target for each for case and control). Species identified as (Culicines-86%, Anophelines-9.7%, Aedes- 2.6%) with over 65% distribution in RVF endemic areas. We demonstrate the applications of spatial epidemiology using GIS to illustrate RVF risk distribution and propose utilizing a Maximum Entropy (MaxEnt) approach to develop Ecological Niche Models (ENM) for prediction of competent RVF vector distributions in un-sampled areas. Targeting RVF hotspots can minimize the costs of large-scale vector surveillance hence enhancing vaccination and vector control strategies. A replicable VSS database and methods can be used for risk analysis of other vector-borne diseases.
Ecological Niche Modelling of Potential RVF Vector Mosquito Species and their...Nanyingi Mark
This document summarizes a study on ecological niche modeling and spatial risk analysis of Rift Valley Fever vectors in Kenya. The study aimed to evaluate the correlation between mosquito distribution and environmental factors associated with RVF outbreaks. Maximum entropy, boosted regression trees, and random forest models were used to develop risk maps predicting the potential spread of RVF vectors based on climatic and environmental variables. The models found that variables like rainfall, number of dry months, and moisture indices influenced the distributions of Culex and Aedes mosquitoes. The risk maps developed can help target RVF surveillance and control in high-risk areas. Limitations included lack of data from known outbreak hotspots and unreliable local climatic/ecological databases
Climate change and infectious livestock diseases: The case of Rift Valley fev...ILRI
Infographic by Bernard Bett, Johanna Lindahl and Delia Grace prepared as part of graphical notes to "The Climate-smart agriculture papers: Investigating the business of a productive, resilient and low emission future", December 2018.
Ecohealth 2014 gianni lo iacono presentation on integrative modellingNaomi Marks
'A mechanistic model at the interface between epidemiology, ecology and environmental drivers', presented by Gianni Lo Iacono as part of a panel presentation on integrative modelling from the Dynamic Drivers of Disease Consortium at Ecohealth 2014
Rift Valley fever virus lineages from selected sites in Kenya, 1997–2020ILRI
Poster by Konongoi Limbaso, John Juma, Solomon Langat, Kristina Roesel, Rosemary Sang, Bernard Bett and Samuel Oyola presented at the Boosting Uganda's Investment in Livestock Development (BUILD) project annual planning meeting, Kampala, Uganda, 20–22 September 2022.
Mapping the risk of Rift Valley fever in UgandaILRI
This study analyzed data from Rift Valley fever (RVF) outbreaks and serological surveys in Uganda to map the risk of RVF transmission. Surveillance records, serological surveys of cattle, sheep and goats, and spatial data on climate/ecology were analyzed. Observed outbreaks were mapped to identify occurrence patterns. Serological data were modeled using logistic regression to identify animal-level exposure factors. A geostatistical model predicted spatial patterns of endemic infection. The final serological model was used to predict areas of exposure risk based on ecological variables. Results identified areas at high transmission risk, especially during wet seasons, and pointed to the need for active surveillance in predicted risk areas.
Forests play a key role in infectious diseases that affect humans. Five fruit bat species have a significant link to Ebola virus transmission and deforestation in their natural habitats in African rainforests. Deforestation of these areas increases the risk of Ebola outbreaks by bringing bats that may carry the virus into closer contact with human populations. Ocean-atmosphere oscillations like the Pacific Decadal Oscillation can also predict periods of higher Ebola outbreak risk, giving observers up to a year of advance notice to prepare prevention and response efforts.
IMED 2018: The use of remote sensing, geostatistical and machine learning met...Louisa Diggs
Kebede Deribe, Ph.D., MPH, Wellcome Trust Brighton and Sussex Centre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK and School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillance — the case of podoconiosis and lymphatic filariasis.
Bernard bett delia grace climate change impacts on animal health and vector ...Naomi Marks
'Climate change impacts on animal health and vector borne diseases. Presentation by Bernard Bett and Delia Grace of the International Livestock Research Institute to a USAID climate change technical officers meeting
Interepidemic Seroepidemiological Survey of Rift Valley Fever in Garissa, KenyaMark Nanyingi
Background: Rift Valley fever (RVF) is a vector-borne zoonotic disease that is caused by phlebovirus and transmitted primarily by aedes mosquitoes. RVF outbreaks have led to significant effects to human and animal health in the Horn of Africa and Arabian Peninsula. The economic impact of 1997-98, 2000 and 2006-2007 outbreaks due to massive livestock abortions, deaths, acute human illness and deaths was estimated at over $ 500 million. We hypothesize there is consistent virus circulation in RVF endemic areas of Northern Kenya and RVF epidemics have potential associations with environmental and climatic parameters. The objective of this study was to detect circulation of RVFV in goats, sheep and cattle in Garissa County, Kenya during the inter-epidemic period (IEP).
Methodology: We performed a cross-sectional surveillance of ruminants in RVF high risk areas of Garissa County, Kenya. Periodic blood sampling of sheep, goats and cattle was done in March 2012 and July 2013. Serological analysis for total antiRVF antibodies for 370 ruminants was investigated using a multispecies competitive Enzyme-Linked Immunosorbent Assay (ELISA) kit. Host risk factors for RVFV seropositivity were examined by both univariable analysis and mixed effects logistic regression model. Unadjusted odds ratios (OR) for seropositivity were estimated using log linear regression model.
Results: The overall seroprevalence for the 370 ruminants was 27.6%. Sheep (n= 87) and cattle (n= 12) had higher prevalence 32.2% (CI [20.6 -31]) and 33.3% (CI [6.7 -60]) respectively than goats (n = 271), 25.8% (CI [22.4 – 42]). Seropostivity in males was 31.8% (CI [22.2-31.8]) higher than 27% (CI [18.1-45.6]) in females. There was an increased likelihood of higher seropositivity in old (OR 18.24, CI [5.26 -116.4]), p < 0.0001) than young animals.
Conclusions: This study demonstrates the widespread serological evidence and potential RVFV circulation among domestic ruminants in Garissa district thus indicative of an endemic reservoir of infection. There is need for increased preparedness and response in RVF endemic areas by conducting animal-human syndromic sero-surveillance as part of one health early warning system.
Interepidemic Seroepidemiological Survey of Rift Valley Fever in Garissa, KenyaMark Nanyingi
Background: Rift Valley fever (RVF) is a vector-borne zoonotic disease that is caused by phlebovirus and transmitted primarily by aedes mosquitoes. RVF outbreaks have led to significant effects to human and animal health in the Horn of Africa and Arabian Peninsula. The economic impact of 1997-98, 2000 and 2006-2007 outbreaks due to massive livestock abortions, deaths, acute human illness and deaths was estimated at over $ 500 million. We hypothesize there is consistent virus circulation in RVF endemic areas of Northern Kenya and RVF epidemics have potential associations with environmental and climatic parameters. The objective of this study was to detect circulation of RVFV in goats, sheep and cattle in Garissa County, Kenya during the inter-epidemic period (IEP).
Methodology: We performed a cross-sectional surveillance of ruminants in RVF high risk areas of Garissa County, Kenya. Periodic blood sampling of sheep, goats and cattle was done in March 2012 and July 2013. Serological analysis for total antiRVF antibodies for 370 ruminants was investigated using a multispecies competitive Enzyme-Linked Immunosorbent Assay (ELISA) kit. Host risk factors for RVFV seropositivity were examined by both univariable analysis and mixed effects logistic regression model. Unadjusted odds ratios (OR) for seropositivity were estimated using log linear regression model.
Results: The overall seroprevalence for the 370 ruminants was 27.6%. Sheep (n= 87) and cattle (n= 12) had higher prevalence 32.2% (CI [20.6 -31]) and 33.3% (CI [6.7 -60]) respectively than goats (n = 271), 25.8% (CI [22.4 – 42]). Seropostivity in males was 31.8% (CI [22.2-31.8]) higher than 27% (CI [18.1-45.6]) in females. There was an increased likelihood of higher seropositivity in old (OR 18.24, CI [5.26 -116.4]), p < 0.0001) than young animals.
Conclusions: This study demonstrates the widespread serological evidence and potential RVFV circulation among domestic ruminants in Garissa district thus indicative of an endemic reservoir of infection. There is need for increased preparedness and response in RVF endemic areas by conducting animal-human syndromic sero-surveillance as part of one health early warning system.
Jardine at al RRV in Peel region_proximity to wetlands_VBZD Feb 2015_Vol 15 ...Peter Neville
This study analyzed Ross River virus (RRV) case data from 2002-2012 in the Peel region of Western Australia to determine disease risk associated with proximity to mosquito breeding habitats. Residents living within 1 km of breeding habitats had significantly higher RRV rates compared to background rates across the Peel region in all years studied. Cumulative data over the 10-year period showed residents within 1-2 km of habitats also had higher rates. The study demonstrates an increased RRV risk for residents near breeding habitats and highlights the need for planning authorities to consider mosquito-borne disease risks when assessing new development applications near such habitats.
Perspectives of predictive epidemiology and early warning systems for Rift Va...ILRI
Presentation by MO Nanyingi, GM Muchemi, SG Kiama, SM Thumbi and B Bett at the 47th annual scientific conference of the Kenya Veterinary Association held at Mombasa, Kenya, 24-27 April 2013.
West Nile virus has become endemic in many parts of Europe due to environmental drivers such as temperature, precipitation, landscape features, avian hosts, and human factors. Above average temperatures increase mosquito and virus reproduction rates, accelerating transmission. Both rural wetlands and urban areas support transmission cycles. Bird migration and changing migration patterns influence virus spread into new areas. A One Health approach integrating public health, veterinary and environmental interventions can help reduce human exposure and transmission risk.
Spatial and temporal patterns of Rift Valley fever outbreaks in Tanzania: 193...Global Risk Forum GRFDavos
GRF 2nd One Health Summit 2013: Presentation by KIMARO, Dr. Calvin Sindato, Southern African Centre for Infectious Disease Surveillance-Sokoine University of Agriculture, Morogoro Tanzania
Climate change impacts on animal health and vector borne diseasesILRI
Presentation by Bernard Bett and Delia Grace at a United States Agency for International Development (USAID) climate change technical officers' meeting, Nairobi, Kenya, 1 April 2014.
Mapping the risk of Rift Valley fever in UgandaILRI
Poster by Dan Tumusiime, Simon Kihu, Edna Mutua and Bernard Bett presented at a Biological Threat Reduction Program science program review meeting, Warsaw, Poland, 17–20 September 2019.
Entomological and parasitological indices of malaria transmission in minna ni...Chidiebere Otuu
This study evaluated the entomological and parasitological indices of malaria transmission in two communities, Mekunkele and Gidan Kwano, in Minna, Nigeria. Mosquitoes were collected using pyrethrum spray catches and dissected to determine species, parity rates, and sporozoite rates. A total of 867 mosquitoes were collected, with 62.51% being Anopheles mosquitoes. The female Anopheles mosquito samples had a 55.26% sporozoite and parity rate. Blood samples from 425 individuals were also examined, with 65.20% testing positive for malaria parasites. The results provide baseline data on the transmission of malaria in these communities to help design effective control
Entomological and parasitological indices of malaria transmission in minna ni...Chidiebere Otuu
This study evaluated the entomological and parasitological indices of malaria transmission in two communities, Mekunkele and Gidan Kwano, in Minna, Nigeria. Mosquitoes were collected using pyrethrum spray catches and dissected to determine species, parity rates, and sporozoite rates. A total of 867 mosquitoes were collected, with 62.51% being Anopheles mosquitoes. The female Anopheles mosquito samples had a 55.26% sporozoite and parity rate. Blood samples from 425 individuals were also examined, with 65.20% testing positive for malaria parasites. The results provide baseline data on the transmission of malaria in these communities to help design effective control
West Nile virus prevalence in the United States is influenced by various climate, environmental, and anthropogenic factors. Temperature and precipitation can impact mosquito and viral replication rates. Land use such as urbanization near bodies of water provides habitat for mosquito vectors. Outbreaks often follow periods of drought or high precipitation, which alter mosquito and bird populations. Human activities like time spent outdoors in the summer also influence exposure. Immunity in bird populations plays a role in outbreak cycles, with major resurgences occurring when immunity levels decrease. WNV will likely remain endemic in the US due to these complex environmental and ecological factors.
This study uses ecological niche modeling to analyze the current and future risk of Maize Lethal Necrosis Disease (MLND) in Africa. The results show that eastern and central Africa currently have suitable conditions for MLND, with many hotspots located in the central humid and sub-humid regions. By 2020 and 2050, the suitable areas are predicted to shrink, but eastern Africa will remain a hotspot. Temperature and precipitation factors, especially precipitation in wet months/quarters, most influence the disease distribution. The study concludes landscape epidemiology can help identify geographic MLND risk areas to better target management resources.
Presentation by Bernard Bett at the 14th conference of the International Society for Veterinary Epidemiology and Economics (ISVEE), Merida, Yucatan, Mexico, 3-7 November 2015.
A statistical analysis of cockroach and rodent’s infestationAlexander Decker
This study analyzed the rates of cockroach and rodent infestation across three communities in Nigeria and the control methods used by households. The study found that cockroach infestation (68%) was significantly higher than rodent infestation (32%). Common evidence of infestation included rat runs (40%) and sightings of live cockroaches (30%). Local pesticides like Sniper were perceived as more effective and cheaper controls compared to commercial brands. Statistical analysis confirmed a significant difference between cockroach and rodent infestation rates across the communities.
A statistical analysis of cockroach and rodent’s infestationAlexander Decker
This study analyzed the rates of cockroach and rodent infestation across three communities in Nigeria and the control methods used by households. The study found that cockroach infestation (68%) was significantly higher than rodent infestation (32%). Common evidence of infestation included rat runs noticed in rooms (40%) and sightings of live cockroaches (30%). Local pesticides like Sniper were perceived as more effective and cheaper controls compared to commercial brands. Statistical analysis confirmed a significant difference between cockroach and rodent infestation rates across the communities.
Genomic epidemiology of Rift Valley fever in East Africa: A data driven inter...ILRI
Poster by John Juma, Samuel Oyola, Bernard Bett and Rosemary Sang prepared for the Centre for Arbovirus Discovery, Diagnostics, Genomics and Epidemiology (CADDE) genomic epidemiology workshop, São Paulo, Brazil, 2–6 December 2019
Environmental change and vector borne diseaseNik Ronaidi
This document discusses how environmental change can impact vector-borne diseases. It identifies several factors of global change like climate change, urbanization, and land use that can influence disease transmission by affecting vectors, pathogens, or human exposure and sensitivity. Changes in temperature and precipitation from climate change can expand vector habitat and accelerate pathogen development. The document also examines how these global changes have impacted diseases like dengue and filariasis in Malaysia through influences on vector ecology and human activities. Effective adaptation requires assessing a population's vulnerability, exposure, and sensitivity to design vector control and other management options.
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Presentation by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 28–30 November 2023.
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Similar to Ecological factors associated with abundance and distribution of mosquito vectors of Rift Valley fever virus during an epidemic period in Isiolo, Kenya
Forests play a key role in infectious diseases that affect humans. Five fruit bat species have a significant link to Ebola virus transmission and deforestation in their natural habitats in African rainforests. Deforestation of these areas increases the risk of Ebola outbreaks by bringing bats that may carry the virus into closer contact with human populations. Ocean-atmosphere oscillations like the Pacific Decadal Oscillation can also predict periods of higher Ebola outbreak risk, giving observers up to a year of advance notice to prepare prevention and response efforts.
IMED 2018: The use of remote sensing, geostatistical and machine learning met...Louisa Diggs
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Interepidemic Seroepidemiological Survey of Rift Valley Fever in Garissa, KenyaMark Nanyingi
Background: Rift Valley fever (RVF) is a vector-borne zoonotic disease that is caused by phlebovirus and transmitted primarily by aedes mosquitoes. RVF outbreaks have led to significant effects to human and animal health in the Horn of Africa and Arabian Peninsula. The economic impact of 1997-98, 2000 and 2006-2007 outbreaks due to massive livestock abortions, deaths, acute human illness and deaths was estimated at over $ 500 million. We hypothesize there is consistent virus circulation in RVF endemic areas of Northern Kenya and RVF epidemics have potential associations with environmental and climatic parameters. The objective of this study was to detect circulation of RVFV in goats, sheep and cattle in Garissa County, Kenya during the inter-epidemic period (IEP).
Methodology: We performed a cross-sectional surveillance of ruminants in RVF high risk areas of Garissa County, Kenya. Periodic blood sampling of sheep, goats and cattle was done in March 2012 and July 2013. Serological analysis for total antiRVF antibodies for 370 ruminants was investigated using a multispecies competitive Enzyme-Linked Immunosorbent Assay (ELISA) kit. Host risk factors for RVFV seropositivity were examined by both univariable analysis and mixed effects logistic regression model. Unadjusted odds ratios (OR) for seropositivity were estimated using log linear regression model.
Results: The overall seroprevalence for the 370 ruminants was 27.6%. Sheep (n= 87) and cattle (n= 12) had higher prevalence 32.2% (CI [20.6 -31]) and 33.3% (CI [6.7 -60]) respectively than goats (n = 271), 25.8% (CI [22.4 – 42]). Seropostivity in males was 31.8% (CI [22.2-31.8]) higher than 27% (CI [18.1-45.6]) in females. There was an increased likelihood of higher seropositivity in old (OR 18.24, CI [5.26 -116.4]), p < 0.0001) than young animals.
Conclusions: This study demonstrates the widespread serological evidence and potential RVFV circulation among domestic ruminants in Garissa district thus indicative of an endemic reservoir of infection. There is need for increased preparedness and response in RVF endemic areas by conducting animal-human syndromic sero-surveillance as part of one health early warning system.
Interepidemic Seroepidemiological Survey of Rift Valley Fever in Garissa, KenyaMark Nanyingi
Background: Rift Valley fever (RVF) is a vector-borne zoonotic disease that is caused by phlebovirus and transmitted primarily by aedes mosquitoes. RVF outbreaks have led to significant effects to human and animal health in the Horn of Africa and Arabian Peninsula. The economic impact of 1997-98, 2000 and 2006-2007 outbreaks due to massive livestock abortions, deaths, acute human illness and deaths was estimated at over $ 500 million. We hypothesize there is consistent virus circulation in RVF endemic areas of Northern Kenya and RVF epidemics have potential associations with environmental and climatic parameters. The objective of this study was to detect circulation of RVFV in goats, sheep and cattle in Garissa County, Kenya during the inter-epidemic period (IEP).
Methodology: We performed a cross-sectional surveillance of ruminants in RVF high risk areas of Garissa County, Kenya. Periodic blood sampling of sheep, goats and cattle was done in March 2012 and July 2013. Serological analysis for total antiRVF antibodies for 370 ruminants was investigated using a multispecies competitive Enzyme-Linked Immunosorbent Assay (ELISA) kit. Host risk factors for RVFV seropositivity were examined by both univariable analysis and mixed effects logistic regression model. Unadjusted odds ratios (OR) for seropositivity were estimated using log linear regression model.
Results: The overall seroprevalence for the 370 ruminants was 27.6%. Sheep (n= 87) and cattle (n= 12) had higher prevalence 32.2% (CI [20.6 -31]) and 33.3% (CI [6.7 -60]) respectively than goats (n = 271), 25.8% (CI [22.4 – 42]). Seropostivity in males was 31.8% (CI [22.2-31.8]) higher than 27% (CI [18.1-45.6]) in females. There was an increased likelihood of higher seropositivity in old (OR 18.24, CI [5.26 -116.4]), p < 0.0001) than young animals.
Conclusions: This study demonstrates the widespread serological evidence and potential RVFV circulation among domestic ruminants in Garissa district thus indicative of an endemic reservoir of infection. There is need for increased preparedness and response in RVF endemic areas by conducting animal-human syndromic sero-surveillance as part of one health early warning system.
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This study evaluated the entomological and parasitological indices of malaria transmission in two communities, Mekunkele and Gidan Kwano, in Minna, Nigeria. Mosquitoes were collected using pyrethrum spray catches and dissected to determine species, parity rates, and sporozoite rates. A total of 867 mosquitoes were collected, with 62.51% being Anopheles mosquitoes. The female Anopheles mosquito samples had a 55.26% sporozoite and parity rate. Blood samples from 425 individuals were also examined, with 65.20% testing positive for malaria parasites. The results provide baseline data on the transmission of malaria in these communities to help design effective control
Entomological and parasitological indices of malaria transmission in minna ni...Chidiebere Otuu
This study evaluated the entomological and parasitological indices of malaria transmission in two communities, Mekunkele and Gidan Kwano, in Minna, Nigeria. Mosquitoes were collected using pyrethrum spray catches and dissected to determine species, parity rates, and sporozoite rates. A total of 867 mosquitoes were collected, with 62.51% being Anopheles mosquitoes. The female Anopheles mosquito samples had a 55.26% sporozoite and parity rate. Blood samples from 425 individuals were also examined, with 65.20% testing positive for malaria parasites. The results provide baseline data on the transmission of malaria in these communities to help design effective control
West Nile virus prevalence in the United States is influenced by various climate, environmental, and anthropogenic factors. Temperature and precipitation can impact mosquito and viral replication rates. Land use such as urbanization near bodies of water provides habitat for mosquito vectors. Outbreaks often follow periods of drought or high precipitation, which alter mosquito and bird populations. Human activities like time spent outdoors in the summer also influence exposure. Immunity in bird populations plays a role in outbreak cycles, with major resurgences occurring when immunity levels decrease. WNV will likely remain endemic in the US due to these complex environmental and ecological factors.
This study uses ecological niche modeling to analyze the current and future risk of Maize Lethal Necrosis Disease (MLND) in Africa. The results show that eastern and central Africa currently have suitable conditions for MLND, with many hotspots located in the central humid and sub-humid regions. By 2020 and 2050, the suitable areas are predicted to shrink, but eastern Africa will remain a hotspot. Temperature and precipitation factors, especially precipitation in wet months/quarters, most influence the disease distribution. The study concludes landscape epidemiology can help identify geographic MLND risk areas to better target management resources.
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This study analyzed the rates of cockroach and rodent infestation across three communities in Nigeria and the control methods used by households. The study found that cockroach infestation (68%) was significantly higher than rodent infestation (32%). Common evidence of infestation included rat runs (40%) and sightings of live cockroaches (30%). Local pesticides like Sniper were perceived as more effective and cheaper controls compared to commercial brands. Statistical analysis confirmed a significant difference between cockroach and rodent infestation rates across the communities.
A statistical analysis of cockroach and rodent’s infestationAlexander Decker
This study analyzed the rates of cockroach and rodent infestation across three communities in Nigeria and the control methods used by households. The study found that cockroach infestation (68%) was significantly higher than rodent infestation (32%). Common evidence of infestation included rat runs noticed in rooms (40%) and sightings of live cockroaches (30%). Local pesticides like Sniper were perceived as more effective and cheaper controls compared to commercial brands. Statistical analysis confirmed a significant difference between cockroach and rodent infestation rates across the communities.
Genomic epidemiology of Rift Valley fever in East Africa: A data driven inter...ILRI
Poster by John Juma, Samuel Oyola, Bernard Bett and Rosemary Sang prepared for the Centre for Arbovirus Discovery, Diagnostics, Genomics and Epidemiology (CADDE) genomic epidemiology workshop, São Paulo, Brazil, 2–6 December 2019
Environmental change and vector borne diseaseNik Ronaidi
This document discusses how environmental change can impact vector-borne diseases. It identifies several factors of global change like climate change, urbanization, and land use that can influence disease transmission by affecting vectors, pathogens, or human exposure and sensitivity. Changes in temperature and precipitation from climate change can expand vector habitat and accelerate pathogen development. The document also examines how these global changes have impacted diseases like dengue and filariasis in Malaysia through influences on vector ecology and human activities. Effective adaptation requires assessing a population's vulnerability, exposure, and sensitivity to design vector control and other management options.
Similar to Ecological factors associated with abundance and distribution of mosquito vectors of Rift Valley fever virus during an epidemic period in Isiolo, Kenya (20)
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Presentation by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 28–30 November 2023.
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BIRDS DIVERSITY OF SOOTEA BISWANATH ASSAM.ppt.pptxgoluk9330
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Dr. Firoozeh Kashani-Sabet is an innovator in Middle Eastern Studies and approaches her work, particularly focused on Iran, with a depth and commitment that has resulted in multiple book publications. She is notable for her work with the University of Pennsylvania, where she serves as the Walter H. Annenberg Professor of History.
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Centrifugation is a mechanical process which involves the use of the centrifugal force to separate particles from a solution according to their size, shape, density, medium viscosity and rotor speed.
The denser components of the mixture migrate away from the axis of the centrifuge, while the less dense components of the mixture migrate towards the axis.
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https://hal.science/hal-04582287
Anatomy and physiology question bank by Ross and Wilson.
It's specially for nursing and paramedics students.
I hope that you people will get benefits of this book,also share it with your friends and classmates.
Doing practice and get high marks in anatomy and physiology's paper.
Continuing with the partner Introduction, Tampere University has another group operating at the INSIGHT project! Meet members of the Industrial Engineering and Management Unit - Aki, Jaakko, Olga, and Vilma!
Ecological factors associated with abundance and distribution of mosquito vectors of Rift Valley fever virus during an epidemic period in Isiolo, Kenya
1. Ecological factors associated with abundance and distribution of mosquito
vectors of Rift Valley fever virus during an epidemic period in Isiolo, Kenya
Max Korir1, Joel Lutomiah2, Bernard Bett1
1.International Livestock Research Institute, P. O. Box 30709-00100, Nairobi
2.Kenya Medical Research Institute, P. O. Box 54840-00200, Nairobi
Introduction
o Rift Valley fever (RVF) is a zoonotic disease caused by the Rift Valley
fever virus (RVFV), impacting both animals and humans. The
disease is prevalent in Sub-Saharan Africa and the Middle East,
often emerging after periods of intense rainfall and subsequent
flooding.
o These climatic conditions create a conducive environment for the
transmission of the virus. RVF epidemics can have severe economic
repercussions, particularly for rural communities that depend on
livestock for their livelihoods. Mosquito vectors thrive in areas that
have been flooded, facilitating the spread of RVFV among animals
and humans.
Pictures
Conclusion
o Geospatial and machine learning technologies are valuable for
predicting RVF heterogeneity.
o Understanding ecological factors aids in predicting and
managing RVF outbreaks.
o Study contributes to the development of effective early
warning and mitigation strategies.
Max Korir
International Livestock Research Institute
m.korir@cgiar.org ● Box 30709 Nairobi Kenya
Objective
o To identify the ecological factors that are associated with the
abundance and distribution of mosquito vectors of Rift Valley fever
virus during an epidemic period in Isiolo, Kenya.
Methods
o Entomological survey during RVF outbreak in Isiolo, Kenya, in 2020-
2021.
o Mosquitoes trapped using CDC light traps over 48 hours.
o Generalized Additive Model (GAM) used for analysis, considering
factors like land cover, vegetation indices (NDVI), elevation,
curvature, soil type, soil texture, slope, land surface temperature
(LST), and modified normalized difference water index (MNDWI)
Discussion
o Forest-to-cropland conversion observed over time, affecting
mosquito habitats.
o The analysis showed the possible cause of RVF being floods
rather than rainfall. The model developed would be useful for
predicting the spatial distribution of potential RVFV vector
breeding sites in the region
Results
o 5,307 mosquitoes of 22 species were trapped during the study.
o Significant factors influencing mosquito abundance: Standard
deviation of NDVI, mean MNDWI, curvature, elevation, and land
cover.
o Negative correlation between mean NDVI and rainfall quantity,
suggesting floods trigger RVF more than rainfall.
o Negative correlation between NDVI and rainfall quantity,
suggesting floods trigger RVF more than rainfall.