ABSTRACT
In the event of a coronavirus (covid-19) pandemic, those in need will be helped through a government aid program known as the Village Cash Direct Assistance beneficiary fund (abbreviated BLT). Because of the COVID-19 pandemic, which has spread to nearly every corner of the globe, citizens' activities around the world have been hindered, especially those involving employment to support life's basic needs. The local economy suffers as a result of people losing their jobs. They have no idea how they will pay for the necessities of life. So, in order to help the locals, the government set up a Village BLT fund support program. Limag Village is one of the settlements that plans to ask for help. When the final decision is made, the village head will choose from the list of households that fit the criteria. A decision support system is one option for achieving clear and exact findings based on the strategy utilized. For a ranking-based decision-support system, the VIKOR approach (Vise Kriterijumska Optimizacija I Kompromisno Resenje) is an excellent choice. In order to reduce the amount of time spent on guesswork when choosing which communities will benefit from BLT Desa money, this study aims to examine and quantify the results of decisions made using criteria that match those criteria. With the use of the following five criteria: profession (K1), number of dependents (K2), social safety net (K3), medical history (K4), and family card (K5): (K5). The results show that the VIKOR approach is able to obtain ranking values from the ten samples it was applied to.. © Published under licence by IOP Publishing Ltd.
ABSTRACT
Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2). SARS-CoV-2 is a new type of Coronavirus that has never been previously identified in humans. The spread and transmission of the SARS-CoV-2 virus was so fast that it was designated a COVID-19 pandemic. The pandemic requires the government to issue several rules to suppress the spread of the virus and this has an impact on everyone’s psychology without exception for pregnant postpartum and breastfeeding women. The Coronavirus has disrupted pregnancy plans and heightened the anxiety of most expectant mothers who question how the virus will affect the birth of their babies. Most pregnant women feel anxious about giving birth without their loved ones by their side. Others are afraid of being infected with COVID-19 and not being able to hug their baby. The Coronavirus pandemic has added anxiety and uncertainty to the dire situation. This study is an observational analytic epidemiological study using a cross sectional design. The population in this study was 150 respondents where the sample was taken using quota sampling. Furthermore, bivariate analysis was performed using Chi Square. The results showed that the level of anxiety was related to antenatal care service visits during the COVID-19 pandemic with a p value of 0.001 and an Odds Ratio of 3.75.
ABSTRACT
BACKGROUND AND AIMS: The novel coronavirus (SARS-CoV-2) is highly contagious pathogen that primarily causes respiratory illnesses. Howerver, multiple gastrointestinal (GI) symptoms have been reported in Coronavirus Disease of 2019 (COVID-19). We conducted a retrospective cohort study of inpatients with COVID-19 at the George Washington University Hospital (GWUH) to assess the prevalence of GI symptoms and their association with clinical outcomes. METHODS: We reviewed the charts of 401 adults admitted to GWUH with positive SARS-CoV-2 tests from February 24 to May 21, 2020, ultimately including 382 inpatients. RESULTS: 87% of our cohort was African American or Latinx. 59% of patients reported at least one GI symptom, with diarrhea being the most common (29%). Patients with GI symptoms were slightly younger (58 +/- 15.8 vs. 65 +/- 16.9, pâ¯=â¯0.0005), have higher body mass index (31.5 +/- Standard Deviation of 8.7 vs. 28 +/- 8.2, pâ¯=â¯0.0001), and more likely to be Latinx (34 vs. 27, pâ¯=â¯0.01). Patients who presented with abdominal pain, nausea, vomiting, or diarrhea had significantly lower rates of death during hospitalization compared to those who did not present those symptoms (Odds Ratio 0.48, 95% Confidence Interval 0.28-0.8, pâ¯=â¯0.004). CONCLUSIONS: Our study suggests that GI symptoms portend a less-severe clinical course of COVID-19 which may reflect a different disease phenotype and lower overall immune response. Additional research should focus on more robust symptom reporting and longer follow-up.