The Role of Donations in Financing Extreme Risk Events

Globally, post-event funding needs are growing, while the material and human damage caused by extreme events is constantly growing. The 2015 United Nations (UN) Global Assessment Report on Disaster Risk Reduction estimated that worldwide, these extreme events cause losses of approximately $ 250-300 billion annually. Although there are now various post-event financing options (insurance, grants, loans, donations, etc.) for the population, companies or public institutions, these instruments are often not sufficient for post-event recovery and reconstruction, so many challenges remain for post-event recovery. Thus, there is often a gap between the financing needs of companies or the population and the existing financing instruments, most often the amounts needed for financing being higher than the amounts that are available through the various existing financing mechanisms. In this article we addressed the topic of post-event funding sources such as donations and highlighted that these, although they are one of the cheapest sources of funding, the support of post-event donors is often uncertain. Also, in the elaboration of this paper I used qualitative and quantitative research based on the use of methods such as Spearman correlation indicator, data processing and analysis, documenting reports, studying reference works and other studies.

THE NATURAL AND MIGRATORY MOVEMENT OF THE RURAL POPULATION OF THE BANAT MOUNTAINS (1993-2016)

The article is based on the study of population dynamics in the rural area of the Banat Mountains. The study period ranged from 1993 to 2016. The aim of the paper was to observe the numerical evolution of the population and to make calculations on the evolution of some demographic indicators. Demographic indicators such as the natality, mortality, natural growth, natural, migratory movement and migratory growth of communes have been analyzed over the period mentioned. A first objective was to physically and then administratively delineate the Banat Mountains. The second objective was to obtain the necessary numerical data, then to process the data for each indicator. Data processing resulted in a series of indicator rates, and in addition, graphs were developed with the numerical evolution of newborns and deaths. The numerical data on the number of newborns and deaths were taken from the website of the National Institute of Statistics. There have been introduced in the Microsoft Excel 2013 program a few graphs. Also, through Microsoft Excel 2013, rates for demographic indicators were calculated, and then the results obtained were introduced into Arc Gis version 10.3. Finally, a series of maps on the territorial distribution of values for each indicator was generated.

Keefektivan Pembelajaran Secara Online Terhadap Perkembangan Fisik Motorik Anak

The problem in this research is that in the online learning process the teachercannot monitor the physical development of the child's motor skills, because children studyat home and at home, the children cannot freely leave the house to play or go recreation.As a result, many parents think that playing cellphones is the main solution. The purposeof this study was to determine the effectiveness of online learning on motoric physicaldevelopment. The benefits of this research are expected to provide insight, boththeoretically and practically, for researchers in accordance with the focus of the researchbeing carried out. This research is a descriptive study, while the research information is asource of reference as well as previous research. Data collection was carried out by meansof observation, interview and documentation techniques. The instrument used by theresearcher was a physical motor indicator. Data analysts use an interactive analysis modelby collecting data, reducing data, presenting data, and drawing conclusions. The results ofresearch on children's physical motor development during online learning have decreased.

Analisis Ketersediaan Data Indikator Smart City Kabupaten Tegal

<p class="Abstrak"><em>Smart city</em> merupakan suatu konsep tata kelola yang disusun secara cerdas agar mampu menyelesaikan setiap permasalahan yang ada di masyarakat. Beberapa literatur menyebut bahwa pembangunan <em>smart city</em> tidak dapat dilepaskan dari infrastruktur TIK serta ketersediaan data. Ketersedian data ini menjadi salah satu indikator awal yang penting untuk menentukan langkah menuju <em>smart city</em>. Kabupaten Tegal yang masih berada pada tahap “proses memulai” menuju <em>smart city</em> perlu melakukan pengukuran ketersediaan data indikator <em>smart city</em> agar perencanaan program untuk menuju <em>smart city</em> dapat dilakukan secara komprehensif. Tujuan dari penelitian ini adalah untuk menilai ketersediaan data indikator <em>smart city</em> serta relevansinya dengan kebijakan terkait di Kabupaten Tegal. Penelitian ini menggunakan metode kuantitatif dengan teknik <em>purposive sampling</em> dalam pengambilan sampelnya. Pemilihan responden berdasarkan pada kesesuaian antara latar belakang tugas pokok dan fungsi OPD dengan perannya dalam memperkuat dimensi <em>smart city</em>. Pengukuran indikator <em>smart city</em> merujuk pada <em>Model Smart Sustainable City</em>. Hasil penelitian menunjukkan bahwa ketersedian data di Kabupaten Tegal masih tergolong rendah. Data terkait kesehatan untuk mendukung Dimensi <em>Living</em> sudah cukup tersedia, begitu pula data terkait mitigasi bencana. Namun, data pendukung pada dimensi lain seperti pada dimensi <em>Smart</em> <em>Economy</em> serta dimensi <em>Smart Governance</em> masih rendah.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>Smart city is a governance concept that is arranged intelligently to be able to solve every problem in society. Some literature states that the development of smart cities cannot be separated from ICT infrastructure and data availability. The availability of this data becomes one of the important early indicators to determine the steps towards smart city. Tegal Regency which is still in the "starting process" towards smart city needs to measure the availability of smart city indicator data so that program planning to reach smart city can be carried out comprehensively. The purpose of this study is to assess the availability of smart city indicator data and its relevance to related policies in Tegal Regency. This research uses quantitative methods with purposive sampling technique in taking the sample. The selection of respondents is based on the suitability between the background of the main tasks and functions of the OPD with its role in strengthening the dimensions of the smart city Measurement of smart city indicators refers to the Smart Sustainable City Model. The results showed that the availability of data in Tegal Regency was still relatively low. Health related data to support the Living Dimension is sufficiently available, as are data related to disaster mitigation. However, supporting data on other dimensions such as the Smart Economy dimension and the Smart Governance dimension are still low.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

A systems model of SDG target influence on the 2030 Agenda for Sustainable Development

The Sustainable Development Goals (SDGs) were adopted by the United Nations in 2015 as part of the “2030 Agenda for Sustainable Development” and aim to address issues ranging from poverty and economic growth to climate change. Efforts to tackle one issue can support or hinder progress towards others, often with complex systemic interactions. Thus, each of the SDGs and their corresponding targets may contribute as levers or hurdles towards achieving other SDGs and targets. Based on SDG indicator data, we create a systems model considering influence among the SDGs and their targets. Once assessed within a system, we find that more SDGs and their corresponding targets act as levers towards achieving other goals and targets rather than as hurdles. In particular, efforts towards SDGs 5 (Gender Equality) and 17 (Partnerships for the Goals) may accelerate progress, while SDGs 10 (Reduced Inequalities) and 16 (Peace, Justice and Strong Institutions) are shown to create potential hurdles. The model results can be used to help promote supportive interactions and overcome hindering ones in the long term.

AHEAD: a data resource to support the Ending the HIV Epidemic in the US Initiative (Preprint)

UNSTRUCTURED Objectives: America’s HIV Epidemic Analysis Dashboard (AHEAD) is a data visualization tool that displays relevant data on the 6 HIV indicators provided by CDC that can be used to monitor progress towards ending the HIV epidemic in local communities across the U.S. The objective of AHEAD is to make data available to stakeholders that can be used to measure national and local progress towards 2025 and 2030 Ending the HIV Epidemic in the U.S. (EHE) goals and to help jurisdictions make local decisions that are grounded in high-quality data. Methods: AHEAD displays data from public health data systems (e.g., surveillance systems, Census data), organized around the six EHE indicators (incidence, knowledge of status, diagnoses, linkage to HIV medical care, viral suppression, and PrEP coverage). Data are displayed for each of the EHE priority areas (48 counties Washington, D.C. and San Juan, PR) which accounted for more than 50% of all U.S. HIV diagnoses in 2016 and 2017 and seven primarily Southern states with high rates of HIV in rural communities. AHEAD also displays data for the 43 remaining states for which data are available. Data features prioritize interactive data-visualization tools that allow users to compare indicator data stratified by sex at birth, race, age, and transmission category within a jurisdiction (when available) or compare data on EHE indicators between jurisdictions. Results: AHEAD was launched on August 14, 2020. In the 11 months since its launch, the Dashboard has been visited 26,591 times by 17,600 unique users. About a third of all users returned to the Dashboard at least once. On average, users engaged with 2.4 pages during their visit to the Dashboard, indicating that the average user goes beyond the informational landing page to engage with one or more pages of data and content. The most frequently visited content pages are the Jurisdictions webpages. Conclusions: The Ending the HIV Epidemic plan is described as a “whole of society” effort. Societal public health initiatives require objective indicators and require that all societal stakeholders have transparent access to indicator data at the level of the health jurisdictions responsible for meeting the goals of the plan. Data transparency empowers local stakeholders to track movement towards EHE goals, identify areas with needs for improvement, make data-informed adjustments to deploy the expertise and resources required to locally tailor and implement strategies to end the HIV epidemic in their jurisdiction.

Learning from health information challenges in the Central African Republic: where documenting health and humanitarian needs requires fresh approaches

The Central African Republic (CAR) is one of the world’s poorest and most fragile countries. Maybe there is no nation on the planet where the official health statistics are so poor. Evidence presented in this Conflict and Health themed collection to document humanitarian needs in CAR, suggests that UN statistics dramatically under-estimate the birth and death rates in conflict settings. To be current and valid, health indicator data in violent settings require more frequent measurement, more triangulation and granular exploration, and creative approaches based on few assumptions. In a world increasingly dependent on model driven data—data often inaccurate in conflict settings—we hope that this collection will allow those service providers and researchers operating in CAR to share their work and help us better learn how to learn. We particularly invite research from professionals working in CAR that documents humanitarian needs and presents indicators of population health where official estimates might not articulate the true extent of the health crisis.