scholarly journals Pesticides and Health in Vegetable Production in Kenya

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Ibrahim Macharia
Keyword(s):  
Cost Of Illness ◽  
Symptom Severity ◽  
Geographical Location ◽  
Education Level ◽  
Protective Equipment ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Record Keeping ◽  
Related Cost ◽  
Health Impairments

This paper investigates the determinants of pesticide-related cost of illness (COI) and acute symptoms, using a balanced panel of 363 farmers interviewed from seven major vegetable producing districts of Kenya. Finding shows that the incidences of pesticide-related health impairments have increased. Variation in number of symptoms and symptom severity significantly explained COI. The personal protective equipment (PPE), education level, record keeping, and geographical location considerably determined health impairments. Encouraging the proper use of PPE and record keeping of pesticide use could greatly reduce poisoning cases and COI.

scholarly journals Optimized and Non-Optimized Personal Protective Equipment Use during the COVID-19 Pandemic in Thailand: A National Cross-Sectional Survey in a Resource-Limited Setting

2021 ◽  
Vol 15 ◽  
pp. 117863022110135
Author(s):  
Visal Moolasart ◽  
Weerawat Manosuthi ◽  
Varaporn Thienthong ◽  
Uajai Jaemsak ◽  
Winnada Kongdejsakda ◽  
...  
Keyword(s):  
Personal Protective Equipment ◽  
Negative Pressure ◽  
Symptom Severity ◽  
Univariate Analysis ◽  
Education Level ◽  
Health Concern ◽  
Protective Equipment ◽  
Global Public Health ◽  
Cross Sectional ◽  
Infection Control Program

Introduction: Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV2). COVID-19 is highly contagious, potentially fatal, and a global public health concern. Combining optimized personal protective equipment (PPE) use and hand hygiene is the best strategy for preventing COVID-19 in health care workers (HCWs). Methods: We conducted a national cross-sectional web-based survey of HCWs in the infection control program (IPC) in Thailand between May 5, 2020 and May 15, 2020. The primary objective was the prevalence of optimized PPE use amongst HCWs. The secondary objective was identification of the independent predictors of optimized PPE use. Results: We received a response from 46% of HCWs (756/1650), and all those who responded were nurse or HCWs who were registered in the IPC network. Five HCWs were excluded because of missing data, and 751 were included in the final analysis. The prevalences of PPE use were 22% (168/751) for optimized PPE use, 78% (583/751) for non-optimized PPE use, 35% (263/751) for PPE overuse, and 43% (320/751) for PPE underused. In univariate analysis, optimized PPE use was significantly associated with age, education level, knowledge of appropriate negative pressure room selection, and knowledge of apparently milder symptom severity in children than adults. In multivariate analysis, independent predictors of optimized PPE use were knowledge of appropriate negative pressure room selection (aOR = 1.95, 95% CI = 1.18-3.22), the difference in symptom severity between children and adults (aOR = 0.55, 95% CI = 0.37-0.81), and education level (aOR = 1.54, 95% CI = 1.04-2.27). Conclusion: The prevalence of optimized PPE use amongst HCWs was 22%. Independent predictors of optimized PPE use were COVID-19 knowledge-based factors and education level. Therefore, the continued education training program should be implemented to ensure maintenance of appropriate practices during the COVID-19 pandemic.

Vegetable Production Efficiency of Smallholders’ Farmer in West Shewa Zone of Oromia National Regional State, Ethiopia

2019 ◽  
pp. 39-51
Keyword(s):  
Production Efficiency ◽  
Education Level ◽  
Farm Households ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Access To Information ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Land Size

This study tried to identify factors affecting vegetable production efficiency using cross-sectional data obtained from 385 randomly and proportionally sampled households from three districts of West Shewa zone, Ethiopia. The data were analyzed using descriptive statistics such as mean, percentage, chi-square and mathematical approach data envelopment analysis DEA, econometrics model such as Tobit. Accordingly, DEA identify the average TE, AE and EE of farm households which encounter for 49.5%, 33.7% and 17.4% respectively. Factors affecting the inefficiency of vegetable production were identified using Tobit model. This model confirmed that age of households, education level, land size, access to irrigation, extension contact access to information and pesticide use were significantly affect TE, while age of the household, land size, access to irrigation, extension contact, access to information and pesticide use were factors affect AE of the farm households. Finally EE of the farm households was affected by age of the households, education level, land size, access to irrigation, access to information and pesticide use. The result suggested that improving the above problem can increase farmers’ economic efficiency in the study area.

scholarly journals Optimized and Non-Optimized Personal Protective Equipment use During the COVID-19 Pandemic in Thailand: A National Cross-Sectional Survey in a Resource-Limited Setting

2020 ◽  
Author(s):  
Visal Moolasart ◽  
Weerawat Manosuthi ◽  
Varaporn Thienthong ◽  
Uajai Jaemsak ◽  
Pimonamorn Pantool ◽  
...  
Keyword(s):  
Personal Protective Equipment ◽  
Negative Pressure ◽  
Symptom Severity ◽  
Univariate Analysis ◽  
Education Level ◽  
Health Concern ◽  
Protective Equipment ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Infection Control Program

Abstract Background: Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV2). COVID-19 is highly contagious, potentially fatal, and a global public health concern. Combining optimized personal protective equipment (PPE) use and hand hygiene is the best strategy for preventing COVID-19 in health care workers (HCWs).Methods: We conducted a national cross-sectional survey of HCWs in the infection control program in Thailand between May 5, 2020 and May 15, 2020. The primary objective was the prevalence of optimized PPE use amongst HCWs. The secondary objective was identification of the independent predictors of optimized PPE use. Results: Seven hundred and fifty-six HCWs responded. Five HCWs were excluded because of non responsible of care team, and 751 were included in the final analysis. The prevalence of optimized PPE use was 22 % (168/751), 78% (583/751) were non-optimized PPE use, 35% (263/751) over-used PPE, and 43% (320/751) under-used PPE. In univariate analysis, optimized PPE use was significantly associated with age, education level, knowledge of appropriate negative pressure room selection and knowledge of apparently milder symptom severity in children than adults. In multivariate analysis, independent predictors of optimized PPE use were knowledge of appropriate negative pressure room selection (aOR=1.95, 95% CI=1.18-3.22) , the difference in symptom severity between children and adults (aOR=0.55, 95% CI=0.37-0.81) and education level (aOR=1.54, 95% CI=1.04-2.27).Conclusion: The prevalence of optimized PPE use amongst HCWs was 22 %. Independent predictors of optimized PPE use were COVID-19 knowledge-based factors and education level.Continued education is advised among Thai HCWs.

Vegetable Production Efficiency of Smallholders’ Farmer in West Shewa Zone of Oromia National Regional State, Ethiopia

2019 ◽  
pp. 39-51
Keyword(s):  
Production Efficiency ◽  
Education Level ◽  
Farm Households ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Access To Information ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Land Size

This study tried to identify factors affecting vegetable production efficiency using cross-sectional data obtained from 385 randomly and proportionally sampled households from three districts of West Shewa zone, Ethiopia. The data were analyzed using descriptive statistics such as mean, percentage, chi-square and mathematical approach data envelopment analysis DEA, econometrics model such as Tobit. Accordingly, DEA identify the average TE, AE and EE of farm households which encounter for 49.5%, 33.7% and 17.4% respectively. Factors affecting the inefficiency of vegetable production were identified using Tobit model. This model confirmed that age of households, education level, land size, access to irrigation, extension contact access to information and pesticide use were significantly affect TE, while age of the household, land size, access to irrigation, extension contact, access to information and pesticide use were factors affect AE of the farm households. Finally EE of the farm households was affected by age of the households, education level, land size, access to irrigation, access to information and pesticide use. The result suggested that improving the above problem can increase farmers’ economic efficiency in the study area.

Vegetable Production Efficiency of Smallholders’ Farmer in West Shewa Zone of Oromia National Regional State, Ethiopia

2019 ◽  
Vol 2 (1) ◽  
pp. 39-51
Author(s):  
Aman Rikitu Dassa ◽  
Bezabih Emana Lemu ◽  
Jema Haji Mohammad ◽  
Ketema Bekele Dadi
Keyword(s):  
Production Efficiency ◽  
Education Level ◽  
Farm Households ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Access To Information ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Land Size

This study tried to identify factors affecting vegetable production efficiency using cross-sectional data obtained from 385 randomly and proportionally sampled households from three districts of West Shewa zone, Ethiopia. The data were analyzed using descriptive statistics such as mean, percentage, chi-square and mathematical approach data envelopment analysis DEA, econometrics model such as Tobit. Accordingly, DEA identify the average TE, AE and EE of farm households which encounter for 49.5%, 33.7% and 17.4% respectively. Factors affecting the inefficiency of vegetable production were identified using Tobit model. This model confirmed that age of households, education level, land size, access to irrigation, extension contact access to information and pesticide use were significantly affect TE, while age of the household, land size, access to irrigation, extension contact, access to information and pesticide use were factors affect AE of the farm households. Finally EE of the farm households was affected by age of the households, education level, land size, access to irrigation, access to information and pesticide use. The result suggested that improving the above problem can increase farmers’ economic efficiency in the study area.

scholarly journals Performance of Permanent Vegetable Production Systems Designed with the PermVeg Model for the Red River Delta, Vietnam

2019 ◽  
Vol 11 (10) ◽  
pp. 2719
Author(s):  
Pham T.T. Huong ◽  
Arij P. Everaarts ◽  
Jacques J. Neeteson ◽  
Paul C. Struik
Keyword(s):  
Production Systems ◽  
River Delta ◽  
Red River ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Wholesale Market ◽  
Red River Delta ◽  
Market Prices ◽  
Traditional System ◽  
Labor Requirement

The aim of the research described was to design permanent vegetable production systems for the Red River Delta in Vietnam. Permanent vegetable production systems better meet the increasing consumer demand for vegetables and may increase farmers’ income. Optimum crop sequences for permanent vegetable production in the Red River Delta were designed with the recently developed model PermVeg. The crop sequences designed were tested in a field experiment from May 2007 to May 2009. The production systems tested were five systems designed according to the scenarios of (i) high profitability, (ii) low labor requirement, (iii) low costs of pesticide use, (iv) high level of crop biodiversity, and (v) low perishable products, respectively. The five systems were compared with the traditional vegetable production system. At local prices, only the high profitability and low labor requirement systems yielded significantly higher profits than the traditional system. At city wholesale market prices, profits of all permanent vegetable production systems were significantly higher than that of the traditional system, except for the low perishability system. Permanent vegetable production systems required more labor than the traditional system. Labor-day incomes of permanent vegetable production systems generally were not higher than those of the traditional system. The labor-day income increased only with the low labor requirement system at city wholesale market prices. The model outcomes correlated reasonably well with the labor requirement and the length in days of production systems in the field. The model poorly predicted profits and costs of pesticide use. We concluded that permanent vegetable production systems can yield higher profits than the traditional system, and can contribute to enhancing employment opportunities and increasing household income.

scholarly journals Vegetable production in Togo and potential impact of pesticide use practices on the environment

2015 ◽  
Vol 9 (2) ◽  
pp. 723 ◽  
Author(s):  
LK Agboyi ◽  
KM Djade ◽  
KM Ahadji-Dabla ◽  
GK Ketoh ◽  
Y Nuto ◽  
...  
Keyword(s):  
Vegetable Production ◽  
Pesticide Use ◽  
Potential Impact
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