Food independence determinant (Rice) In Supporting The Availability Of National Rice

In maintaining the stability of national rice availability, 3 supporting aspects are needed, namely increasing domestic rice production, procuring government rice reserves through Bulog and importing rice. The purpose of this study is 1) to find out the factors that influence the availability of national rice, 2) to find out the factors that influence food independence, especially rice. The data used is secondary data sourced from BPS, FAO statistics and IRRI statistics. The research design used in this study is a time series study from 1970-2016. The model used in the study is Least Square (LS). The results of the analysis show partially the availability of national rice influenced by domestic rice production, government rice reserves and rice imports. While the ability of domestic rice production in supplying the availability of national rice, which is represented in the substance of food independence, is influenced by productivity, rice supply stability, price gap of rice / rice and farmers' welfare. However, it is not influenced by the application of appropriate technology (in this case the use of subsidized fertilizer). The conclusion of this study is that the availability of national rice is not only supplied from within the country but must still be supported by the procurement of imported rice. In increasing food independence, productivity must be increased, ensuring that government rice reserves are always available, monitoring the development of rice / rice prices are always stable, and paying attention to the welfare of farmers as the main actors in rice trading. Whereas the government's policy of providing subsidized fertilizers needs to be refined and monitored in the field because so far only serves as a complement in the provision of rice to the community.

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Clinical and epidemiological indicators and spatial analysis of leprosy cases in patients under 15 years old in an endemic area of Northeast Brazil: an ecological and time series study

BMJ Open ◽

10.1136/bmjopen-2018-023420 ◽

2019 ◽

Vol 9 (7) ◽

pp. e023420 ◽

Cited By ~ 2

Author(s):

Márcio Bezerra Santos ◽

Allan Dantas dos Santos ◽

Aline Silva Barreto ◽

Mariana do Rosário Souza ◽

Marco Aurélio de Oliveira Goes ◽

...

Keyword(s):

Time Series ◽

Spatial Analysis ◽

Physical Disability ◽

Endemic Area ◽

Temporal Trends ◽

Secondary Data ◽

Lower Percentage ◽

Northeast Brazil ◽

Time Series Study ◽

Series Study

ObjectiveThis study aimed to analyse the clinical and epidemiological indicators, temporal trends and the spatial distribution of leprosy in patients under 15 years old in an endemic area of Northeast Brazil.DesignRegional surveillance study of all reported cases.SettingState of Sergipe, endemic area of Northeast Brazil.MethodsAn ecological and time series study was conducted, based on secondary data reported by the Brazilian Information System on Notifiable Diseases for leprosy cases diagnosed in Sergipe state (2002–2015). The analysis of temporal trends was performed using the Joinpoint Regression Programme through Poisson regression. We performed spatial analysis by Kernel estimator and Moran index.ResultsThe incidence rate was reduced from 6.29 to 3.78 cases per 100 000 inhabitants in 2002 and 2015, respectively. However, Sergipe was still classified as highly endemicity in 2015. The mean number of household contacts (HHC) examined was significantly lower than those registered. Clinical data indicated that 21.4% of the patients developed leprosy reactions, and 31.3% presented with some physical disability in the multibacillary groups. Patients diagnosed by examination within the HHC presented better indicators, such as lower percentage of leprosy reaction and physical disability. Spatial analysis showed the most risk areas distributed on the northeast and cities around the capital, Aracaju.ConclusionThe data indicate that there is a persistence of activeMyobacterium lepraetransmission and a delay in disease detection, following a pattern of high endemicity in many municipalities. The early detection by HHC examination is important to stop transmission and also to detect the cases in a less severe state.

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Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study

PLoS ONE ◽

10.1371/journal.pone.0256169 ◽

2021 ◽

Vol 16 (8) ◽

pp. e0256169

Author(s):

Ketyllem Tayanne da Silva Costa ◽

Thiffany Nayara Bento de Morais ◽

Dayane Caroliny Pereira Justino ◽

Fábia Barbosa de Andrade

Keyword(s):

Time Series ◽

Secondary Data ◽

Health Surveillance ◽

World Health ◽

Microsoft Excel ◽

Time Series Study ◽

The World ◽

Independent Variable ◽

Health Organization ◽

Series Study

The World Health Organization declared, at the end of 2019, a pandemic caused by SARS-CoV-2, a virus that causes Coronavirus Disease—COVID-19. Currently, Brazil has become the epicenter of the disease, registering approximately 345 thousand deaths. Thus, the study has scientific relevance in health surveillance as it identifies, quantifies and monitors the main behavioral patterns of the mortality rate due to COVID-19, in Brazil and in their respective regions. In this context, the study aims to assess the epidemiological behavior of mortality due to COVID-19 in Brazil: a time series study, referring to the year 2020. This is an ecological time series study, constructed using secondary data. The research was carried out in Brazil, having COVID-19 deaths as the dependent variable that occurred between the 12th and 53rd Epidemiological Week of 2020. The independent variable will be the epidemiological weeks. The data on deaths by COVID-19 were extracted in February 2021, on the Civil Registry Transparency Portal. The cleaning of the database and the information were treated in the Microsoft Excel® Software and, for statistical analysis, the JoinPoint software, version 4.7.0.0 was used. It was observed that Brazil presents an upward curve between the 12th and 19th SE, when it reaches saturation at the peak of mortality, which remains until the 35th SE and, subsequently, a downward curve was identified until the 47th SE, period in the which curve turns back up.

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UPAYA MEMPERBAIKI EKONOMI BERAS DI PROVINSI NUSA TENGGARA TIMUR ANALISIS DATA SEKUNDER TAHUN 2003-2017)

Buletin Ilmiah IMPAS ◽

10.35508/impas.v21i02.2623 ◽

2020 ◽

Vol 21 (2) ◽

pp. 91-101

Author(s):

Fransisca Erna Teda ◽

Fredrik L Benu ◽

Wiendiyati Wiendiyati

Keyword(s):

Structural Equation ◽

Secondary Data ◽

Rice Production ◽

Least Square ◽

Demand And Supply ◽

Long Run ◽

Corn Prices ◽

Rice Consumption ◽

Rice Prices

The aim of this research were to review the state of rice industry over the past 15 years (2003-2017) based on the demand and supply situation in East Nusa Tenggara. The development of the price of rice, the factors that influence the demand and supply, and determine the policy impact of rice demand and supply in East Nusa Tenggara Province. This research uses the econometric model, that is a simultant structural equation,which was indentified by the order condition and it was approaches using Two Stage Least Square (2SLS). The data used in this research was the time series of secondary data during 15 years period from 2003-2017 that was provided by Central Startics Office, the National Logistics Authority, the NTT Agricultural Bureau and other publications related to this investigation. The analysis showed that the amount of rice production was really depended on harvest area, rice consumption, rice supply and rice production in the previous year. The retail price of rice was responded to the price of corn and the demand for rice in the long term, while in the short term it only responded to the price of corn. The amount of rice consumption responded to rice production, rice prices and rice demand. Rice imports reacted to rice production, rice prices, corn prices and rice consumption in the long run. Based on the results of the research, it was suggested that the area of irrigation needs to be extended,in each region of East Nusa tenggara Province, particularly technical irrigation in order to increase the rice production, and it es neededto do diversification programs in order to reduce dependency rice. The weakness of this research was it used the inpure simultan model.

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