scholarly journals Spatio Temporal Modelling for Government Policy the COVID-19 Pandemic in East Java

CAUCHY ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 218-226
Author(s):  
Atiek Iriany ◽  
Novi Nur Aini ◽  
Agus Dwi Sulistyono
Keyword(s):  
Government Policy ◽  
Large Scale ◽  
Cumulative Number ◽  
Data Modelling ◽  
Model Method ◽  
Daily Data ◽  
Temporal Modelling ◽  
Temporal Model ◽  
Spatio Temporal ◽  
The Government

COVID-19 has cursorily spread globally. Just in four months, its status altered into a pandemic. In Indonesia, the virus epicenter is identified in Java. The first positive case was identified in West Java and later spread in all Java. The Large-scale Social Restrictions are seemingly inefficient as the SARS-CoV-2 transmission remains. As such, the government is struggling to find anticipatory policies and steps best to mitigate the transmission. In this particular article, we used a Spatio-temporal model method for the total COVID-19 cases in Java and forecasted the total cases for the next 14 days, allowing the stakeholders to make more effective policies. The data we were using were the daily data of the cumulative number of COVID-19 cases taken from www.covid19.go.id. Data modelling was conducted using a generalized spatio-temporal autoregressive model. The model acquired to model the COVID-19 cases in Java was the GSTAR(1)(1,0,0) model.

scholarly journals Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Dayun Kang ◽  
Jungsoon Choi
Keyword(s):  
Scrub Typhus ◽  
Prediction Performance ◽  
Weather Data ◽  
Hierarchical Framework ◽  
Interaction Terms ◽  
Low Humidity ◽  
Temporal Modelling ◽  
Temporal Model ◽  
Spatio Temporal ◽  
Temporal Interaction

Scrub typhus, a bacterial, febrile disease commonly occurring in the autumn, can easily be cured if diagnosed early. However, it can develop serious complications and even lead to death. For this reason, it is an important issue to find the risk factors and thus be able to prevent outbreaks. We analyzed the monthly scrub typhus data over the entire areas of South Korea from 2010 through 2014. A 2-stage hierarchical framework was considered since weather data are covariates and the scrub typhus data have different spatial resolutions. At the first stage, we obtained the administrative-level estimates for weather data using a spatial model; in the second, we applied a Bayesian zero-inflated spatio-temporal model since the scrub typhus data include excess zero counts. We found that the zero-inflated model considering the spatio-temporal interaction terms improves fitting and prediction performance. This study found that low humidity and a high proportion of elderly people are significantly associated with scrub typhus incidence.

scholarly journals TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping

2019 ◽  
Vol 8 (11) ◽  
pp. 513 ◽  
Author(s):  
Luiz Fernando F. G. Assis ◽  
Karine Reis Ferreira ◽  
Lubia Vinhas ◽  
Luis Maurano ◽  
Claudio Almeida ◽  
...  
Keyword(s):  
Spatial Data ◽  
Web Application ◽  
Data Analytics ◽  
Large Scale ◽  
Computer Network ◽  
Service Architecture ◽  
Data Infrastructure ◽  
Spatio Temporal ◽  
Spatial Interfaces ◽  
The Government

The physical phenomena derived from an analysis of remotely sensed imagery provide a clearer understanding of the spectral variations of a large number of land use and cover (LUC) classes. The creation of LUC maps have corroborated this view by enabling the scientific community to estimate the parameter heterogeneity of the Earth’s surface. Along with descriptions of features and statistics for aggregating spatio-temporal information, the government programs have disseminated thematic maps to further the implementation of effective public policies and foster sustainable development. In Brazil, PRODES and DETER have shown that they are committed to monitoring the mapping areas of large-scale deforestation systematically and by means of data quality assurance. However, these programs are so complex that they require the designing, implementation and deployment of a spatial data infrastructure based on extensive data analytics features so that users who lack a necessary understanding of standard spatial interfaces can still carry out research on them. With this in mind, the Brazilian National Institute for Space Research (INPE) has designed TerraBrasilis, a spatial data analytics infrastructure that provides interfaces that are not only found within traditional geographic information systems but also in data analytics environments with complex algorithms. To ensure it achieved its best performance, we leveraged a micro-service architecture with virtualized computer resources to enable high availability, lower size, simplicity to produce an increment, reliable to change and fault tolerance in unstable computer network scenarios. In addition, we tuned and optimized our databases both to adjust to the input format of complex algorithms and speed up the loading of the web application so that it was faster than other systems.

scholarly journals Could COVID-19 pandemic be stopped with joint efforts of travel restrictions and public health countermeasures? A modelling study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046157
Author(s):  
Lingcai Kong ◽  
Yi Hu ◽  
Qiang Wang ◽  
Xinda Chen ◽  
Tong Yao ◽  
...  
Keyword(s):  
Public Health ◽  
Cumulative Number ◽  
The Public ◽  
Travel Restrictions ◽  
Temporal Modelling ◽  
Spatio Temporal ◽  
Health Communities ◽  
Global Travel ◽  
Study Setting ◽  
Travel Restriction

ObjectiveWe aim to explore and compare the effect of global travel restrictions and public health countermeasures in response to COVID-19 outbreak.DesignA data-driven spatio-temporal modelling to simulate the spread of COVID-19 worldwide for 150 days since 1 January 2020 under different scenarios.SettingWorldwide.InterventionsTravel restrictions and public health countermeasures.Main outcomeThe cumulative number of COVID-19 cases.ResultsThe cumulative number of COVID-19 cases could reach more than 420 million around the world without any countermeasures taken. Under timely and intensive global interventions, 99.97% of infections could be avoided comparing with non-interventions. The scenario of carrying out domestic travel restriction and public health countermeasures in China only could contribute to a significant decrease of the cumulative number of infected cases worldwide. Without global travel restriction in the study setting, 98.62% of COVID-19 cases could be avoided by public health countermeasures in China only compared with non-interventions at all.ConclusionsPublic health countermeasures were generally more effective than travel restrictions in many countries, suggesting multinational collaborations in the public health communities in response to this novel global health challenge.

scholarly journals Spatio-Temporal Modeling of Data Imputation for Daily Rainfall Series in Homogeneous Zones

2016 ◽  
Vol 31 (2) ◽  
pp. 196-201 ◽  
Author(s):  
José Ruy Porto De Carvalho ◽  
Alan Massaru Nakai ◽  
José Eduardo B.A. Monteiro
Keyword(s):  
Daily Rainfall ◽  
Auxiliary Variable ◽  
Data Imputation ◽  
Temporal Modeling ◽  
Different Seasons ◽  
Versatile Technique ◽  
Temporal Modelling ◽  
Temporal Model ◽  
Weather Stations ◽  
Spatio Temporal

Abstract Spatio-temporal modelling is an area of increasing importance in which models and methods have often been developed to deal with specific applications. In this study, a spatio-temporal model was used to estimate daily rainfall data. Rainfall records from several weather stations, obtained from the Agritempo system for two climatic homogeneous zones, were used. Rainfall values obtained for two fixed dates (January 1 and May 1, 2012) using the spatio-temporal model were compared with the geostatisticals techniques of ordinary kriging and ordinary cokriging with altitude as auxiliary variable. The spatio-temporal model was more than 17% better at producing estimates of daily precipitation compared to kriging and cokriging in the first zone and more than 18% in the second zone. The spatio-temporal model proved to be a versatile technique, adapting to different seasons and dates.

Reflections on the Construction of Affordable Housing Communities

2012 ◽  
Vol 174-177 ◽  
pp. 3095-3098
Author(s):  
Xiao Fang Gong ◽  
Yan Shu Wang ◽  
Wen Ting Li
Keyword(s):  
Affordable Housing ◽  
Government Policy ◽  
Large Scale ◽  
Residential Development ◽  
Construction Process ◽  
Foreign Experience ◽  
Living Space ◽  
The Government ◽  
Policy Guidance ◽  
Harmonious Community

From foreign experience and lessons, the urban living space differentiation has brought about serious social problems. At present, during the large-scale urban residential development and construction process in China, there is a trend of differentiation, but it is not yet fully formed. In this regard, the author is trying to find out the ways to build affordable housing communities through such measures as the government policy guidance, the building of a harmonious community, the employment of mixed living pattern, and the heritage of humanistic ideas.

scholarly journals IMPLEMENTASI KEBIJAKAN BELAJAR DARI RUMAH DENGAN TATANAN NORMAL BARU PADA SEKOLAH DASAR DI KECAMATAN BULAK KOTA SURABAYA

2021 ◽  
Vol 4 (2) ◽  
pp. 711
Author(s):  
Nathasia May Afistha ◽  
Ananta Prathama
Keyword(s):  
Elementary Schools ◽  
Learning Process ◽  
Government Policy ◽  
Large Scale ◽  
Normal Order ◽  
New Normal ◽  
Social Distancing ◽  
Implementation Model ◽  
Edward Iii ◽  
The Government

The spread of COVID-19 in Indonesia is increasing every day. urged the government to immediately deal with the COVID-19 pandemic by making various policies such as implementing a lockdown, social distancing, physical distancing, self-isolation and Large-Scale Social Restrictions (PSBB). With this government policy, it certainly has a big impact in various aspects of life, especially in the aspect of education in Indonesia. With the implementation of PSBB, it encourages the government to issue policies on the implementation of education in Indonesia, because after all the learning process must continue so that the objectives of education can be achieved as a whole. The purpose of this study is to describe the implementation of learning from home policies with the new normal order in elementary schools in Bulak District, Surabaya City. The theory used in this research is the theory of implementation model by Edward III. This type of research uses descriptive qualitative. The results of this study indicate that: (1) Communication has been implemented well; (2) Resources are well implemented but staff are not sufficient; (3) The disposition has been implemented very well; (4) The bureaucratic structure is well implemented.   

scholarly journals “Regeringens henstillinger har ikke lydt forgæves” Erik Scavenius’ møde med pressen 14. september 1942

2015 ◽  
Vol 54 ◽  
pp. 463
Author(s):  
John T. Lauridsen
Keyword(s):  
Government Policy ◽  
Large Scale ◽  
Prime Minister ◽  
Foreign Minister ◽  
Foreign Affairs ◽  
The People ◽  
Difficult Time ◽  
The Press ◽  
Background Material ◽  
The Government

John T. Lauridsen: The government’s recommendations were not voiced in vain. Erik Scavenius’ meeting with the press on 14 September 1942 Erik Scavenius did not hold many major press conferences in his time as Foreign Minister, nor as Prime Minister and Foreign Minister in the period 1940–43. An exception occurred on 14 September 1942, when a great number of issues coincided and led him to hold a large scale meeting in the Ministry of Foreign Affairs to explain simultaneously to prominent members of Danish press, politicians and civil servants what the government’s policy was, how the government and its policy was handled in the press and in particular, how the government’s policy should be presented. Both the government’s partners and the press were severely criticized and it was implied there was a government mole so that confidential information was being leaked. The press needed to understand its responsibility at this difficult time in Denmark. The people from the press were allowed to respond and on the whole were seemingly receptive to the instructions. What took place at the meeting was not reported in the newspapers the following day. Instead, background material was provided with the intent of counteracting tendencies in the press running counter to government policy.

scholarly journals Identification of Jakarta Government Policy on Large Scale Social Restrictions (PSBB) COVID 19

2020 ◽  
Vol 2 (1) ◽  
pp. 84
Author(s):  
Mahadiansar Mahadiansar ◽  
Asrifia Ridwan ◽  
Baiq Dewi Kamariani ◽  
Fannidya Hamdani Zeho
Keyword(s):  
Human Resources ◽  
Government Policy ◽  
Research Method ◽  
Large Scale ◽  
Secondary Data ◽  
Lower Figure ◽  
Social Restriction ◽  
Bureaucratic Structure ◽  
The Government

The application of Large Scale Social Restriction (PSBB) makes the policy of the government of DKI Jakarta to get a response from the citizens of DKI Jakarta as well as stakeholders in the lower figure of the spread COVID-19 in DKI Jakarta. The purpose of this research is to identify the policy on the implementation of the PSBB DKI Jakarta using the theory of grindle with communication factors, factors of human resources, factors of attitudes, and factors of the bureaucratic structure by outlining the process of implementation of the policy. The research method using secondary data qualitative focuses on the analysis of data with matching patterns and develop explanations of the study. The findings showed that of the four factors on the implementation has been running well, but from the factor of the attitude of the on the results of the implementation of the policy showed less good because the number of cases COVID-19 in DKI Jakarta is still relatively higher than the percentage do the government of DKI Jakarta. Thus the need for optimization of the disposition or attitude of implementers in involving experts in order cases COVID-19 decrease on the spread of the pandemic COVID-19 in DKI JakartaKeywords : COVID-19, Government of DKI Jakarta,Implementation, PSBB

scholarly journals Transformation Model of Government Policy on Task Force Through Coronavirus Disease 2019 Pandemic Handling Strategy in the COVID Tourism Ambassador Program in South Sulawesi Province, Indonesia

2021 ◽  
Vol 9 (E) ◽  
pp. 1316-1321
Author(s):  
Aslinda Aslinda ◽  
Muhammad Akmal Ibrahim ◽  
Sukri Palutturi
Keyword(s):  
Government Policy ◽  
Large Scale ◽  
Task Force ◽  
Provincial Government ◽  
Transformation Model ◽  
Regulatory Policies ◽  
South Sulawesi ◽  
The Government ◽  
Policy Transformation ◽  
The Right

BACKGROUND: Various policies have been issued by the government regarding task force to accelerate coronavirus disease 2019 (COVID-19) handling, ranging from presidential decrees, ministerial decrees, governor decrees, followed by decisions from the implementing agencies regarding the policy outputs, and compliance of the target groups. AIM: This study aimed to identify and analyze changes in task force policies as well as strategies used in handling the COVID-19 pandemic through the Tourism Ambassador program in South Sulawesi which is considered as an effective model for handling COVID-19. METHODS: This research was conducted by applying qualitative method that emphasizes interpretation and phenomena holistically. The analysis used was the model of government policy transformation in the task force through the COVID-19 pandemic handling strategy in the COVID tourism ambassador program in South Sulawesi. This study was participated by informants (participants) who were involved in the COVID Ambassador Tourism Program in South Sulawesi. RESULTS: The Provincial Government of South Sulawesi has made policy changes, especially regarding the COVID-19 handling acceleration task force. There were various changes in the government regulatory policies related to the Regulation of the Minister of Health (Permenkes) of the Republic of Indonesia No. 09 of 2020 to Presidential Decree (Kepres) No. 11 of 2020 regarding regulations for Large-Scale Social Restrictions to accelerate the handling of COVID-19 in South Sulawesi. CONCLUSION: Changes in policy related to the acceleration of COVID-19 control and handling in South Sulawesi resulted in a policy output that showed a decrease in the number of COVID-19 positive cases. Implementing the strategy through the COVID-19 Tourism Ambassador program as a model for handling COVID-19 in South Sulawesi is the right strategy.

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