scholarly journals Factors Associated with Seasonal Food Insecurity among Small-Scale Subsistence Farming Households in Rural Honduras

2020 ◽  
Vol 17 (3) ◽  
pp. 706
Author(s):  
Warren Dodd ◽  
Marvin Gómez Cerna ◽  
Paola Orellena ◽  
Sally Humphries ◽  
Margaux L. Sadoine ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Insecurity ◽  
Agricultural Production ◽  
Negative Binomial ◽  
Extreme Weather Events ◽  
Small Scale ◽  
Negative Binomial Regression Model ◽  
Subsistence Agriculture ◽  
Production Factors ◽  
The Relationship

In the context of climate change, a nutritional transition, and increased pressures to migrate internally and internationally, this study examined the relationship between seasonal food insecurity and demographic, socioeconomic, and agricultural production factors among small-scale subsistence farmers in rural northern Honduras. Anchored by a partnership with the Fundación para la Investigación Participativa con Agricultores de Honduras (FIPAH) and the Yorito Municipal Health Centre, a cross-sectional household survey was administered in Yorito, Honduras, in July 2014. The study population included 1263 individuals from 248 households across 22 rural communities. A multivariate mixed effects negative binomial regression model was built to investigate the relationship between the self-reported number of months without food availability and access from subsistence agriculture in the previous year (August 2013–July 2014) and demographic, socioeconomic, and agricultural production variables. This study found a lengthier ‘lean season’ among surveyed household than previously documented in Honduras. Overall, 62.2% (95% confidence interval (CI): [59.52, 64.87]) of individuals experienced at least four months of insufficient food in the previous year. Individuals from poorer and larger households were more likely to experience insufficient food compared to individuals from wealthier and smaller households. Additionally, individuals from households that produced both maize and beans were less likely to have insufficient food compared to individuals from households that did not grow these staple crops (prevalence ratio (PR) = 0.83; 95% CI: [0.69, 0.99]). Receiving remittances from a migrant family member did not significantly reduce the prevalence of having insufficient food. As unpredictable crop yields linked to climate change and extreme weather events are projected to negatively influence the food security and nutrition outcomes of rural populations, it is important to understand how demographic, socioeconomic, and agricultural production factors may modify the ability of individuals and households engaged in small-scale subsistence agriculture to respond to adverse shocks.

scholarly journals Corona Virus, Climate Change, and Food Security

2021 ◽  
pp. 563-579
Author(s):  
Nkiru Theresa Meludu ◽  
Toyin Abolade
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Agricultural Production ◽  
Urban Areas ◽  
Food Shortage ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The World ◽  
The Relationship ◽  
Improve Food Security

AbstractCoronavirus disease of 2019 (COVID-19) is a current pandemic causing lockdown of cities and countries. The nature of this disease and the global cases are still considered as deadly all over the world. Analogous was drawn between the current COVID-19 pandemic and some of the other contemporary crises of the world as regards to climate change in addition to food shortage. Also, Survey Monkey instrument was used to generate emperical evidences from 514 respondents on covid-19 awareness and the effect on food security. Effects of diseases on climate change, such as the increasing frequency and strength of extreme weather events or the expanding range and spread of diseases was considered. Then, the relationship between the COVID-19 pandemic and climate change was investigated. Prior to the pandemic, climate change already had adverse effects on agriculture and vice versa, which led to food insecurity. The need for fruits as well as leafy and root vegetables in peri-urban and urban areas is increasing, as well as the food shortage. A drop in agricultural production will be expected in the future if the pandemic continues for a few more months. The perception and adherence to the preventive measures for this pandemic were determined to reduce its spread and lessen its effect on agricultural production as well as to improve food security

scholarly journals Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar

2014 ◽  
Vol 369 (1639) ◽  
pp. 20130089 ◽  
Author(s):  
Celia A. Harvey ◽  
Zo Lalaina Rakotobe ◽  
Nalini S. Rao ◽  
Radhika Dave ◽  
Hery Razafimahatratra ◽  
...  
Keyword(s):  
Climate Change ◽  
Food Insecurity ◽  
Agricultural Production ◽  
Smallholder Farmers ◽  
Disease Outbreaks ◽  
Extreme Weather Events ◽  
Agricultural System ◽  
Limited Information ◽  
Weather Events ◽  
The Tropics

Across the tropics, smallholder farmers already face numerous risks to agricultural production. Climate change is expected to disproportionately affect smallholder farmers and make their livelihoods even more precarious; however, there is limited information on their overall vulnerability and adaptation needs. We conducted surveys of 600 households in Madagascar to characterize the vulnerability of smallholder farmers, identify how farmers cope with risks and explore what strategies are needed to help them adapt to climate change. Malagasy farmers are particularly vulnerable to any shocks to their agricultural system owing to their high dependence on agriculture for their livelihoods, chronic food insecurity, physical isolation and lack of access to formal safety nets. Farmers are frequently exposed to pest and disease outbreaks and extreme weather events (particularly cyclones), which cause significant crop and income losses and exacerbate food insecurity. Although farmers use a variety of risk-coping strategies, these are insufficient to prevent them from remaining food insecure. Few farmers have adjusted their farming strategies in response to climate change, owing to limited resources and capacity. Urgent technical, financial and institutional support is needed to improve the agricultural production and food security of Malagasy farmers and make their livelihoods resilient to climate change.

scholarly journals The Impacts of Regional Regulatory Policies on the Prevention and Control of Chronic Diseases in China: A Mediation Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1058
Author(s):  
Huihui Huangfu ◽  
Qinwen Yu ◽  
Peiwu Shi ◽  
Qunhong Shen ◽  
Zhaoyang Zhang ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Community Service ◽  
Mediation Analysis ◽  
Prevention And Control ◽  
Negative Binomial ◽  
Mediating Effect ◽  
Negative Binomial Regression Model ◽  
Regulatory Policies ◽  
And Control ◽  
The Relationship

Regional regulatory policies (RPs) are a major factor in the prevention and control of chronic diseases (PCCDs) through the implementation of various measures. This study aimed to explore the impacts of RPs on PCCDs, with a focus on the mediating roles of community service. The soundness of the regulatory mechanism (SORM) was used to measure the soundness of RPs based on 1095 policy documents (updated as of 2015). Coverage provided by community service institutions (CSIs) and community health centres (CHCs) was used to represent community service coverage derived from the China Statistical Yearbook (2015), while the number of chronic diseases (NCDs) was used to measure the effects of PCCDs based on data taken from the 2015 China Health and Retirement Longitudinal Study survey. To assess the relationship between SORM, NCDs and community service, a negative binomial regression model and mediation analysis with bootstrapping were conducted. Results revealed that there was a negative correlation between SORM and NCDs. CSIs had a major effect on the relationship between RPs and PCCDs, while CHCs had a partial mediating effect. RPs can effectively prevent and control chronic diseases. Increased effort should also be aimed at strengthening the roles of CSIs and CHCs.

Estimating the economic impacts of drought on agriculture through models and surveys in the Po river basin (Northern Italy)

2021 ◽  
Author(s):  
Iolanda Borzì ◽  
Beatrice Monteleone ◽  
Brunella Bonaccorso ◽  
Mario Martina
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Economic Impacts ◽  
Growing Season ◽  
Northern Italy ◽  
Extreme Weather Events ◽  
Po River ◽  
Po River Basin

<p>Drought economic impacts, even if non-structural, are a significant threat for those sectors highly dependent on water resources. Agricultural production is highly sensitive to extreme weather events such as droughts and heatwaves.  Climate change is expected to exacerbate the frequency and the severity of droughts, as stated by the Intergovernmental Panel on Climate Change (IPCC), which raises concerns about food security for the next decades.</p><p>The Food and Agriculture Organization (FAO) estimated that between 2005 and 2015, 83% of all drought-related losses were absorbed by agriculture. The huge monetary losses are mainly due to crop yield reduction because of high temperatures and reduced precipitation, which are linked to additional expenses for field irrigation.</p><p>This study aims at estimating the economic impacts of drought on the agricultural sector. The investigation has been carried out for a specific case study area within the Po river basin (Northern Italy). The Po valley is the largest agricultural area in Italy and accounts for 35% of Italian agricultural production. It has experienced multiple droughts over the past 20 years, with the long and severe drought from 2003 to 2008 that caused relevant impacts to the agricultural sector. The total economic impact of the 2005-2007 drought was estimated to be around 1.850M€. Climate change projections over the Italian peninsula from the PRUDENCE regional experiments showed that the frequency and the severity of droughts in Northern Italy will increase in the next century due to a decrease in precipitation during critical crop growing seasons (spring and summer).</p><p>The proposed methodology consists of two steps. At first, farmers have been subjected to surveys for assessing the monetary losses they experienced during past drought events and the cost associated with the mitigation strategies implemented to reduce the economic impacts of the extreme event, with special attention to irrigation practices.</p><p>Secondly, the crop growing season and yields have been estimated using the Agricultural Production Systems sIMulator (APSIM), calibrated with local yields retrieved from the Italian National Institute for Statistics (ISTAT) over the period from 2006 to 2020. Weather parameters for simulations in APSIM were derived from remote-sensing images. The comparison between the average growing season and the ones with low yields allows the identification of the crop growing stages that experienced stress. Among the identified stresses, the ones related to water shortages are considered. The economic costs associated with agricultural practices are computed to obtain an estimation of farmers' expenses. Besides, farmers' income is computed based on crop prices and simulated yield. The reduced income obtained by farmers during the previously identified water-related stresses represents their loss due to drought.</p><p>Results reveal that the use of the developed methodology to identify drought stress in combination with the information coming from surveys helps in quickly assessing the economic impacts of past and present droughts in the Po river basin and represents a useful tool to evaluate which cultivations and which areas suffered the highest economic impacts of droughts.</p>

ASSESSMENT OF PRODUCTION FUNCTIONS AND ANALYSIS OF THE IMPACT OF PRODUCTION FACTORS ON THE MAIN INDICATORS AGRICULTURE OF THE REPUBLIC OF DAGESTAN

2020 ◽  
Vol 4 (12) ◽  
pp. 38-42
Author(s):  
N. M. CHAPAEV ◽  
Keyword(s):  
Agricultural Production ◽  
Factor Models ◽  
Production Functions ◽  
Agricultural Enterprises ◽  
Republic Of Moldova ◽  
Production Factors ◽  
Different Types ◽  
The Republic ◽  
The Impact ◽  
The Relationship

This article assesses the relationship and dependence between the main economic indicators of agricultural enterprises of the Ministry of agriculture of the Republic of Moldova for different years, models of production functions of different types are constructed. The parameters and characteristics for two-factor models expressing the dependence of agricultural production on the number of people employed in agriculture are given.

scholarly journals The inverse relationship between national food security and annual cholera incidence: a 30-country analysis

2019 ◽  
Vol 4 (5) ◽  
pp. e001755 ◽  
Author(s):  
Aaron Richterman ◽  
Andrew S Azman ◽  
Georgery Constant ◽  
Louise C Ivers
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Incidence Rate ◽  
Inverse Relationship ◽  
Negative Binomial ◽  
National Level ◽  
Annual Incidence ◽  
Annual Incidence Rate ◽  
The Relationship ◽  
National Food Security

IntroductionIndividual and household-level evidence suggests a relationship between food insecurity and cholera risk. The relationship between national food security and the size of cholera outbreaks is unknown.MethodsWe analysed the relationship between national food security and annual cholera incidence rate from 2012 to 2015 across 30 countries. We used components of the Global Food Security Index (GFSI) as measures of food security. We included countries with available GFSI reporting cases of cholera during the study period, excluding high-income countries. We developed multivariable zero-inflated negative binomial models with annual cholera incidence rate as the outcome, GFSI components as the exposure of interest, fixed effects for country and year, and time-varying effects related to water, sanitation, and hygiene, oral cholera vaccine deployment, healthcare expenditure, conflict and extreme weather.ResultsThe 30 countries reported 550 106 total cases of cholera from 2012 to 2015, with a median annual incidence rate of 3.1 cases per 100 000 people (IQR 0.3–9.9). We found independent inverse relationships between cholera and Overall GFSI (incidence rate ratio (IRR) 0.57, 95% CI 0.43 to 0.78), GFSI-Availability (IRR 0.81, 95% CI 0.70 to 0.95) and GFSI-Affordability (IRR 0.76, 95% CI 0.62 to 0.92).ConclusionsWe identified a strong inverse relationship between national food security and annual incidence rate of cholera. In the context of prior evidence at the individual and household levels, this suggests that there is a linkage between food insecurity and cholera at the national level that should be further considered in assessing cholera risk in vulnerable regions and in designing cholera control interventions.

scholarly journals The relationship between fleas and small mammals in households of the Western Yunnan Province, China

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jia-Xiang Yin ◽  
Xiao-Ou Cheng ◽  
Yun-Yan Luo ◽  
Qiu-Fang Zhao ◽  
Zhao-Fei Wei ◽  
...  
Keyword(s):  
Small Mammals ◽  
Host Species ◽  
Yunnan Province ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Strong Relationship ◽  
Negative Binomial Regression Model ◽  
Small Male ◽  
Western Yunnan ◽  
The Relationship

Abstract The Yunnan province has one of the most serious outbreaks of the plague epidemic in China. Small mammals and fleas are risk factors for the occurrence of plague in commensal plague foci. Understanding the relationship between fleas and small mammals will help control fleas and prevent the onset of the plague. Four hundred and twenty-one small mammals, belonging to 9 species, were captured. Of these, 170 small mammals (40.4%) were found infested with fleas. A total of 992 parasitic fleas (including 5 species) were collected. The number of Leptopsylla segnis and Xenopsylla cheopis accounted for 91.03% (903/992). The final multiple hurdle negative binomial regression model showed that when compared with Rattus tanezumi, the probability of flea infestation with Mus musculus as well as other host species decreased by 58% and 99%, respectively, while the number of flea infestations of the other host species increased by 4.71 folds. The probability of flea prevalence in adult hosts increased by 74%, while the number of fleas decreased by 76%. The number of flea infestations in small male mammals increased by 62%. The number of fleas in small mammals weighing more than 59 g has been multiplied by about 4. R. tanezumi is the predominant species in households in the west Yunnan province, while L.segnis and X. cheopis were dominant parasitic fleas. There is a strong relationship between the abundance of fleas and the characteristics of small mammals (e.g. Species, age, sex, and body weight).

scholarly journals Seasonal variation in mortality secondary to acute myocardial infarction in England and Wales: a secondary data analysis

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e019242 ◽  
Author(s):  
Osakpolor Ogbebor ◽  
Babatunde Odugbemi ◽  
Ravi Maheswaran ◽  
Kavya Patel
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Seasonal Variation ◽  
Negative Binomial ◽  
Secondary Data ◽  
Contributory Factor ◽  
Negative Binomial Regression Model ◽  
Winter Mortality ◽  
England And Wales ◽  
The Relationship

BackgroundAcute myocardial infarction (AMI) is a leading cause of death globally. Increase in AMI mortality during winter has also been identified in existing literature. This has been associated with low outdoor and indoor temperatures and increasing age. The relationship between AMI and other factors such as gender and socioeconomic factors varies from study to study. Influenza epidemics have also been identified as a contributory factor.ObjectiveThis paper aims to illustrate the seasonal trend in mortality due to AMI in England and Wales with emphasis on excess winter mortality (EWM).MethodsMonthly mortality rates per 10 000 population were calculated from data provided by the UK Office for National Statistics (ONS) for 1997–2005. To quantify the seasonal variation in winter, the EWM estimates (EWM, EWM ratio, Excess Winter Mortality Index) for each year were calculated. Negative binomial regression model was used to estimate the relationship between increasing age and EWM.ResultsThe decline in mortality rate for AMI was 6.8% yearly between August 1997 and July 2005. Significant trend for reduction in AMI-associated mortality was observed over the period (p<0.001). This decline was not seen with EWM (p<0.001). 17% excess deaths were observed during winter. This amounted to about 20 000 deaths over the 8-year period. Increasing winter mortality was seen with increasing age for AMI.ConclusionEWM secondary to AMI does occur in England and Wales. Excess winter deaths due to AMI have remained high despite decline in overall mortality. More research is needed to identify the relationship of sex, temperature, acclimatisation, vitamin D and excess winter deaths due to AMI.

scholarly journals The Relationship between Parasitic Fleas and Small Mammals in Household of Western Yunnan Province, China

2019 ◽  
Author(s):  
Jia-Xiang Yin ◽  
Xiao-Ou Cheng ◽  
Qiu-Fang Zhao ◽  
Zhao-Fei Wei ◽  
Dan-Dan Xu ◽  
...  
Keyword(s):  
Small Mammals ◽  
Host Species ◽  
Yunnan Province ◽  
Negative Binomial ◽  
Negative Binomial Regression Model ◽  
Small Male ◽  
Xenopsylla Cheopis ◽  
Western Yunnan ◽  
Rattus Tanezumi ◽  
The Relationship

AbstractThe Yunnan Province has one of the most serious outbreaks of the plague epidemic in China. Small mammals and fleas are risk factors for the occurrence of plague in commensal plague foci. Understanding the relationship between parasitic fleas and small mammals will help control fleas and prevent the onset of the plague. Four hundred and twenty-one small mammals, belonging to 9 species, were captured. Of these, 170 small mammals (40.4%) were infested with fleas. A total of 992 parasitic fleas (including 5 species) was collected. The number of Leptopsylla Segnis and Xenopsylla Cheopis was 91.0%. The final multiple hurdle negative binomial regression model showed that when compared with Rattus Tanezumi, the probability of flea infestation on Mus musculus and other host species decreased from 58% to 99%, while the infestation with fleas from other host species increased 4.7 fold. The probability of flea prevalence in adult hosts increased by 74%, while the number of fleas decreased by 76%. The number of flea infestations in small male mammals increased by 62%. The number of fleas in small mammals weighing more than 59 grams has been multiplied by about 4. Rattus Tanezumi is the predominant species in households in West Yunnan Province, while Leptopsylla Segnis and Xenopsylla Cheopis are dominant parasitic fleas. There is a strong relationship between the abundance of parasitic fleas and the characteristics of small mammals (e.g. Species, age, sex, and body weight).

scholarly journals Revisit to Policy Formulation for Climate-Smart Agriculture in India

2019 ◽  
Vol 8 (9S2) ◽  
pp. 109-116
Keyword(s):  
Climate Change ◽  
Supply Chain ◽  
Food Security ◽  
Agricultural Production ◽  
Climate Changes ◽  
Agricultural Productivity ◽  
Small Scale ◽  
Farming Practices ◽  
Economic Implications ◽  
The Impact

Potential influence of water stress, climate change, erosion of fertility, unorganized agro-financing practices in agricultural-yields espoused with incongruity in regulating and developing the credible distribution mechanism for the resilience of computable equilibrium in the supply chain have warranted the continuing negative economic implications relating to agricultural production-patterns as well as ensuring food security of the country. An authoritative introspection for the sustainability of agro-economic policy in consistence with the increasing population becomes the cry of the hour of the country. Sensitivity-variance of different crops to warming though confines the scopes and preferences of territoriality of productivity however, the complexity of impact of climate-change on agricultural productivity necessitates the appraisal and interrelations of physical, economic and social factors as well changing ecological imbalances. The attempt to bring structural reforms in the farming practices in weather variability context in the country requires financial support for the marginal and small-scale farmers as farming practices are predominantly adapted to local climates. The global character of atmospheric circulation and the impact of ecological and climate-changes encourage combined use of climate, crop, and economic models for sustaining growth of supply chain to market. In addition, the increasing deterioration of agricultural production due to the eventuality of climate-change and eventual ecological imbalance considerably would affect the trade balance of the country for the legislative mandate of food security. To transform the progressive move of LPG (Liberalization, Privatization and Globalization) into secured and sustainable agro-economy to save our planet from the ravages of climate change, a comprehensive schematic approach involves configuration of legal and policy tools containing thereof: a) ‘spillover costs’ of agricultural productivity due to increased ecological and climate changes; b) coherent assessment of the modalities of agriculture to harmonize the present-day water-stressed; c) coherent financing mechanism for the farmers, in particular the small-scale and marginal ones who are not only being affected disproportionately rather the changes warrant them to be displaced internally. The present discussion reviews two prime factors: viz; a) Effects of Climate-Change upon agro-economy of the country; and b) Attenuation of Agro-financing measures in the regulatory mechanism for regulating and developing the vibrant supply chain to the market

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