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"Latar Belakang: Aktivasi komplemen dapat menyebabkan respon imun berlebihan dan merupakan salah satu faktor yang berpengaruh terhadap morbiditas serta mortalitas pasien COVID-19. Beberapa penghambat aktivasi komplemen saat ini sedang dipelajari untuk menghambat aktivasi sistem komplemen yang berlebihan pada pasien COVID-19. Resiko, keuntungan, waktu pemberian dan bagian dari sistem yang akan ditargetkan perlu dipertimbangkan pada saat akan menggunakan penghambat komplemen, oleh karena itu telaah sistematis ini dibuat untuk mengambil kesimpulan apakah pemberian terapi penghambat sistem komplemen dapat menurunkan mortalitas pasien COVID-19 yang dirawat di Rumah Sakit berdasarkan penelitian-penelitian yang tersedia.Tujuan: Mengetahui efek pemberian terapi penghambat sistem komplemen terhadap mortalitas pasien COVID-19 yang dirawat di Rumah Sakit.Metode: Dengan menggunakan kata kunci spesifik, dilakukan pencarian artikel potensial secara komprehensif pada PubMed, Embase, Cochrane, dan Scopus database dengan pembatasan waktu 2019 sampai dengan sampai 31 Desember 2022. Protokol studi ini telah diregistrasi di PROSPERO (CRD42022306632). Semua penelitian pemberian terapi penghambat komplemen pada pasien COVID-19 dimasukkan. Analisis statistik dilakukan dengan menggunakan perangkat lunak Review Manager 5.4.Hasil: 5 penelitian memenuhi kriteria dan dimasukkan dalam telaah sistematis serta meta-analisis dengan total 739 pasien COVID-19. Hasil analisis Forest plot menunjukan bahwa pemberian terapi penghambat sistem komplemen menurunkan mortalitas sebesar 28% pada pasien COVID-19 yang dirawat di Rumah Sakit (RR 0,72; 95% CI: 0,46 – 1,14, I2 = 61%, P-value = 0.16).Kesimpulan: Pemberian terapi penghambat sistem komplemen secara statistik tidak signifikan menurunkan mortalitas pada pasien COVID-19 yang dirawat di Rumah Sakit

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Background: Complement activation can cause an exaggerated immune response and is one of the factors that influence the morbidity and mortality of COVID-19 patients. Several complement activation inhibitors are currently being studied to inhibit excessive complement activation in COVID-19 patients. The risks, benefits, time of administration and the part of the system to be targeted need to be considered when using complement inhibition, therefore this systematic review was made to conclude whether the administration of complement system inhibition therapy can reduce the mortality of COVID-19 patients who are hospitalized based on available studies.

Objective: To determine the effect of complement system inhibitory therapy on the mortality of hospitalized COVID-19 patients

Methods: Using specific keywords, we comprehensively searched the PubMed, Embase, Cochrane, and Scopus databases for potential articles from 2019 to December 31, 2022. The research protocol was registered with PROSPERO (CRD42022306632). All studies administering complement inhibitory therapy to COVID-19 patients were processed. Statistical analysis was performed using Review Manager 5.4 software.

Result: 5 studies met the criteria and were included in a systematic review and meta-analysis of a total of 739 COVID-19 patients. The results of the Forest plot analysis showed that administration of complement system inhibitor therapy reduced mortality by 28% in hospitalized COVID-19 patients (RR 0.72; 95% CI: 0.46 – 1.14, I2 = 61%, P -value = 0.16).

Conclusion: Providing complement system inhibitor therapy did not statistically significantly reduce mortality in hospitalized COVID-19 patients"

"Coronavirus Disease 2019 adalah penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Covid-19 telah dinyatakan sebagai pandemik sehingga perlu dilakukan upaya penanggulangan termasuk penguatan fungsi laboratorium yang berfungsi melakukan pemeriksaan spesimen, untuk menjamin kesinambungan pemeriksaan screening spesimen Coronavirus Disease 2019. Penelitian ini bertujuan untuk menganalisis implementasi hierarki pengendalian risiko dalam pencegahan penularan Covid-19 pada pekerja di Laboratorium Biomolekular PT X. Penelitian ini menggunakan metode penelitian kualitatif . Pengumpulan data dilakukan melalui data sekunder, wawancara dan observasi. Penelitian dilakukan dari November 2021-Juli 2022. Hasil penelitian menunjukkan proses kerja di PT. X terdiri enam jenis dari pengambilan sampel hingga pelaporan ke pasien. Masing-masing proses memiliki risiko masing-masing dalam pekerjaannya, dimana risiko tertinggi pada petugas pengambilan sampel. Pengetahuan dan perilaku pekerja terhadap hirarki pengendalian risiko dapat dikatakan sangat baik. Perilaku pencegahan Covid-19 yang dilakukan oleh pekerja di PT. X sudah ada upayanya, seperti mereka paham pentingnya bekerja dengan SOP dan menggunakan alat pelindung diri. PT.X telah mengimplementasikan hirarki pengendalian risiko meliputi pengendalian teknis seperti memberi pembatas dan pengaturan ventilasi, pengendalian administrasi seperti pembuatan SOP dan pengaturan shift kerja, dan penggunaan alat pelindung diri seperti masker, baju gown, sarung tangan, dsb. Terkait implementasi pengendalian risiko pada Laboratorium ada dua hal yang belum terpenuhi yaitu tidak adanya pengelolaan limbah padat B3 dan tidak ada manajemen biosecurity secara mandiri. Adapun saran yang dapat direkomendasikan adalah perlu memberikan edukasi, sosialisasi, maupun pelatihan secara berkala terkait manajemen pengendalian risiko dan melakukan upaya pengelolaan limbah B3 sendiri mengacu pada peraturan kementerian kesehatan untuk keamanaan baik para pekerja dan pelanggan yang berkunjung ke PT.X.

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Coronavirus Disease 2019 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Covid-19 has been declared a pandemic so it is necessary to take countermeasures including strengthening the laboratory function that functions to examine specimens, to ensure the continuity of the 2019 Coronavirus Disease specimen screening examination. This study aims to analyze the implementation of the risk control hierarchy in preventing the transmission of Covid-19 to workers in Biomolecular Laboratory of PT X. This research uses qualitative research methods. Data was collected through secondary data, interviews and observations. The research was conducted from November 2021-July 2022. The results showed that the work process at PT. X consists of six types from sampling to reporting to patients. Each process has its own risks in its work, where the risk is highest for the sampling officer. Knowledge and behavior of workers on the hierarchy of risk control can be said to be very good. Covid-19 prevention behavior carried out by workers at PT. X has made an effort, as they understand the importance of working with SOPs and using personal protective equipment. PT.X has implemented a risk control hierarchy including technical controls such as providing barriers and ventilation settings, administrative controls such as making SOPs and setting work shifts, and the use of personal protective equipment such as masks, gowns, gloves, etc. Regarding the implementation of risk control in the laboratory, there are two things that have not been fulfilled, namely the absence of B3 solid waste management and no independent biosecurity management. The suggestions that can be recommended are that it is necessary to provide education, socialization, and periodic training related to risk control management and make efforts to manage B3 waste itself referring to the regulations of the ministry of health for the safety of both workers and customers who visit PT.X.

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"Pandemi Coronavirus Disease 2019 (COVID-19) merupakan pandemi disebabkan oleh virus SARS-CoV-2. Indonesia diketahui sebagai salah satu negara dengan tingkat infeksi COVID-19 paling tinggi di dunia. Deteksi cepat secara Real Time Reverse Transcription Polymerase Chain Reaction (rRT-PCR) merupakan salah satu langkah yang diperlukan untuk menekan laju penyebaran COVID-19. Kit deteksi BioCore 2019-nCoV Real Time PCR Kit adalah salah satu kit dignosis COVID-19 produksi BioCore. Ltd., Korea Selatan. Kit diagnosis BioCore telah beredar di Indonesia dan perlu diuji keakuratan diagnosis yang dihasilkan untuk menghindari hasil negatif palsu. Pengujian dilakukan menggunakan protokol Penjaminan Mutu Eksternal (PME) Kementerian Kesehatan Indonesia dengan melibatkan 30 sampel uji dan membandingkan hasil uji terhadap kit gold standard CDC dengan gen target N1, N2, dan HRP. Alur kerja penelitian dimulai dari proses pengambilan sampel, ekstraksi RNA, persiapan mastermix, adisi template RNA, dan amplifikasi template dengan metode rRT-PCR. Hasil penelitian menunjukkan adanya amplifikasi pada kontrol yang digunakan, sehingga proses diagnosis dapat dilakukan. Nilai Ct IC kit Biocore dan IC CDC menunjukkan perbedaan signifikan (P 0,05; CI=95%). Gen target SARS-CoV-2 tidak terdeteksi pada kit Biocore dengan nilai Ct>35, serta didapatkan nilai sensitivitas dan spesifisitas analitik kit Biocore berturut-turut sebesar 75% dan 100%. Hasil uji Kit Biocore terhadap pasien terinfeksi COVID-19 di Indonesia tidak memenuhi standar kit diagnosis yang ditetapkan oleh WHO, yaitu memiliki sensitivitas analitik sebesar 95%. Peninjauan ulang primer pada kit Biocore perlu dilakukan untuk memperbaiki mutu kit dalam deteksi awal virus SARS-CoV-2 di Indonesia.

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The Coronavirus Disease 2019 (COVID-19) pandemic is a pandemic caused by the SARS-CoV-2 virus. Indonesia is known as one of the countries with the highest COVID-19 infection rate in the world. Real Time Reverse Transcription Polymerase Chain Reaction (rRT-PCR) detection is one of the steps needed to accelerate the spread of COVID-19. The BioCore 2019-nCoV Real Time PCR Kit is one of the COVID-19 diagnosis kits produced by BioCore. Ltd., South Korea. The BioCore diagnostic kit has been circulating in Indonesia and needs to be tested for the accuracy of the resulting diagnosis to avoid false negative results. The test was carried out using the External Quality Assurance (PME) protocol of the Indonesian Ministry of Health involving 30 test samples and test results against the CDC gold standard kit with target genes N1, N2, and HRP. The research workflow starts from the sampling process, RNA extraction, mastermix preparation, RNA template addition, and template amplification using the rRT-PCR method. The results showed that there was amplification of the controls used, so that the diagnosis process could be carried out. The Ct values ​​of the Biocore IC kit and the CDC IC showed a significant difference (P 0.05; CI=95%). The SARS-CoV-2 target gene was not detected in the Biocore kit with a Ct value>35, ​​and the sensitivity and analytical specificity of the Biocore kit were 75% and 100%, respectively. The results of the Biocore Kit test on patients infected with COVID-19 in Indonesia do not meet the diagnostic kit standard set by WHO, which has an analytical sensitivity of 95%. Primary review on the Biocore kit needs to be done to improve the quality of the kit in early detection of the SARS-CoV-2 virus in Indonesia."

"Latar Belakang: Angka mortalitas pasien Coronavirus Disease 2019 (COVID-19) di Indonesia cukup tinggi, salah satu organ yang terlibat dalam memengaruhi tingginya mortalitas ini adalah jantung. Evaluasi ekokardiografi dapat membantu mengidentifikasi secara dini gangguan jantung yang berhubungan dengan mortalitas pasien. Saat ini data kelainan jantung dengan pemeriksaan ekokardiografi pada pasien COVID-19 derajat berat-kritis di Indonesia.Tujuan: Penelitian ini bertujuan untuk mencari hubungan antara kelainan ekokardiografi dengan mortalitas pada pasien COVID-19 derajat berat dan kritis.Metode: Data pasien COVID-19 derajat berat dan kritis di RSCM diambil berdasarkan rekam medis lalu dilakukan analisis data dengan menampilkan tabel deskriptif, analisis bivariat dengan chi-square dan multivariat dengan regresi logistik.Hasil: Dari total 83 pasien, sebanyak 48 pasien (57,8%) meninggal. Kelainan fungsional yang paling banyak ditemukan pada ekokardiografi adalah mPAP yaitu sebanyak 51 pasien (68%) dan gangguan struktural terbanyak adalah remodelling konsentrik ventrikel kiri yaitu 48 pasien (58%). Hasil analisis chi-square terhadap variabel ekokardiografi memperlihatkan bahwa Tricuspid Annular Plane Systolic Excursion (TAPSE) dengan RR 7,29 (IK95%; 0,98 - 54,36), Right Ventricular Systolic Pressure (RVSP) dengan RR 10,21 (IK95%; 1,41 - 74,04), mean Pulmonary Artery Pressure (mPAP) dengan RR 1,44 (IK95%; 1,02 - 2,04), Pulmonary Acceleration Time (PAT) dengan RR 2,36 (IK95%; 1,14 - 4,86), dan Right Atrial Pressure (RAP) dengan RR 3,40 (IK95%; 1,06 - 10,95), memiliki hubungan signifikan dengan mortalitas. Sedangkan Left Ventricular Ejection Fraction (LVEF), disfungsi diastolik ventrikel kiri (E/e’) dan cardiac output (CO) tidak terdapat hubungan yang signifikan. Analisis multivariat dengan regresi logistik menunjukan bahwa variabel ekokardiografi yang secara independen berhubungan dengan mortalitas adalah RVSP dan RAP.Simpulan: Kelainan ekokardiografi yang berhubungan dengan mortalitas pasien COVID 19 derajat berat dan kritis adalah TAPSE, RVSP, mPAP, PAT dan estimasi RAP.

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Background: The mortality rate of Coronavirus Disease 2019 (COVID-19) patient in Indonesia is high and one of the organ that may contribute mortality is heart problem. Echocardiography can help clinician to identify early functional abnormalities and structural defect of heart that may correlates to mortality and patient’s prognosis. Currently, there are limited data in Indonesia about cardiac abnormalities in severe-critically ill COVID-19 patients that evaluated with echocardiography.Objective: This study aims to determine the relationship between echocardiography abnormalities and mortality in severe and critically ill COVID-19 patients.Methods: Severe and critically ill COVID-19 patients data taken from medical records and then analyzed by presenting descriptive table, bivariate analysis using chi square and multivariate analysis using logistic regression.Results: Out of total 83 patients, 48 ​​patients (57.8%) died. The most common functional abnormality found on echocardiography was mPAP found in 51 patients (68%) and the most common structural defect was left ventricular concentric remodeling in 48 patients (58%). The results of chi-square analysis of echocardiographic variables are Tricuspid Annular Plane Systolic Excursion (TAPSE) RR 7,29 (95%CI; 0,98 - 54,36), Right Ventricular Systolic Pressure (RVSP) RR 10,21 (95% CI; 1,41 - 74,04), mean Pulmonary Artery Pressure (mPAP) RR 1,44 (95%CI; 1,02 - 2,04), Pulmonary Acceleration Time (PAT) RR 2,36 (95%CI; 1,14 - 4,86), dan Right Atrial Pressure (RAP) RR 3,40 (95% CI; 1,06 - 10,95)had a significant relationship with mortality. Meanwhile, left ventricular ejection fraction (LVEF), left ventricular diastolic dysfunction (E/e') and cardiac output (CO) had no significant relationship. Multivariate analysis using logistic regression showed that RVSP and RAP were independent variables that correlates to mortality.Conclusions: Echocardiography abnormalities that associated with mortality in severe-critically ill patients are TAPSE, RVSP, mPAP, PAT and estimated RAP"

"Infeksi SARS CoV-2 sebagai penyebab terjadinya pandemi Coronavirus Disease 2019 (COVID-19) kini menjadi perhatian kesehatan masyarakat. Pada kasus COVID-19 yang berat dapat menyebabkan pneumonia, sindrom pernapasan akut, gagal ginjal, dan bahkan kematian, sehingga tidak jarang membutuhkan perawatan intensif. Diduga komorbiditas akan memperberat kondisi tersebut. Penelitian ini bertujuan untuk mengetahui dampak komorbiditas yakni hipertensi, diabetes melitus, dan penyakit paru obstrktif kronis terhadap kejadian perawatan intensif pada pasien COVID-19 di DKI Jakarta. Penelitian ini menggunakan desain potong lintang dengan menggunakan data registri pasien COVID-19 milik Dinas Kesehatan Provinsi DKI Jakarta pada Maret-Juni 2020 yand diperoleh dari formulir pencatatan dan pelaporan COVID-19. Kriteria inklusi adalah usia lebih dari 18 tahun, terdiagnosis COVID-19 dari hasil pemeriksaan swab PCR positif, dan pasien dirawat di Rumah Sakit di DKI Jakarta. Kriteria eksklusi adalah memiliki kondisi imunodefisiensi (HIV, keganasan, sedang menjalani kemoterapi atau radiasi). Data dianalisis secara bivariat dan multivariat menggunakan regresi logistik multipel dengan mempertimbangkan kovariat berupa usia, jenis kelamin, jenis pekerjaan, jumlah gejala dan durasi gejala yang dialami. Berdasarkan 12 699 pasien terkonfirmasi COVID-19 pada periode penelitian, terdapat 6 359 pasien yang memenuhi kriteria penelitian ini. Diketahui 623 (9,8%) mengalami hipertensi, 421 (6,62%) mengalami diabetes melitus, dan 133 (2,09%) mengalami PPOK. Sebanyak 166 (2,61%) diantaranya mendapat perawatan di ICU. Setelah dikontrol kovariat, ketiga komorbiditas tersebut secara independen meningkatkan risiko kebutuhan perawatan di ICU, tertinggi pada penderita hipertensi tanpa diabetes yang memiliki lebih dari 2 gejala OR 23,98 (IK95% 12,83-44,83) diikuti penderita hipertensi yang disertai diabetes dan lebih dari 2 gejala OR 16,53 (IK95% 8,76-31,17). Penderita PPOK memiliki risiko OR 1,80 (IK95% 0,95-3,40) untuk dirawat di ICU. Disimpulkan bahwa hipertensi, diabetes melitus, dan PPOK meningkatkan risiko perawatan di ICU pada pasien COVID-19 di DKI Jakarta.

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COVID-19 cases can lead to pneumonia, acute respiratory distress syndrome, acute kidney failure, and death. The presence of comorbidities are tought to worsen that condition. This study aimed to investigate impact of hypertension, diabetes mellitus, and chronic obstructive pulmonary disease to admission to intensive care unit (ICU) among COVID-19 patients in DKI Jakarta. This cross sectional study utilize COVID-19 patients registry data owned by DKI Jakarta Provincial Health Office from March to June 2020. Inclusion criteria are aged 18 years old or older, confirmed by positive PCR swab test result, and hospitalized in DKI Jakarta. Exclusion criteria are patients with immunodeficiency condition (HIV, malignancy, in chemotherapy or radiation therapy). Data were analyzed in bivariate and multivariate analysis using multiple logistic regression by considering covariates (age, sex, working status, number of symptoms, and duration of symptoms). Among 12 699 patients, 6 359 were included. Approximately 623 (9,8%) had hypetension, 421 (6,62%) had diabetes mellitus, and 133 (2,09%) had COPD. Among them, 166 (2,61%) were admitted to ICU. After controlling for covariates, those comorbidities are independently increase risk of ICU admission. The highest risk are found among hypertension patients without diabetes melitus and had more than two symptoms OR 23,98 (95%CI 12,83-44,83) followed by hypertension patients with diabetes melitus and had more than two symptoms OR 16,53 (95%CI 8,76-31,17). COPD patients had risk OR 1,80 (95%CI 0,95-3,40) for ICU admission. In conclusion, hypertension, diabetes mellitus, and COPD increase risk of ICU admission among COVID-19 patients in DKI Jakarta."

"Coronavirus Disease (COVID-19) adalah penyakit baru yang melanda dunia tahun 2020.Penyakit ini diperkirakan berasal dari Wuhan, China (Rothan HA, 2020). WHOmenetapkan COVID-19 sebagai pandemi karena penyakit ini telah berhasil menginfeksilebih dari 190 negara di dunia. DKI Jakarta adalah Ibu Kota di Indonesia yang turutmenjadi salah satu Provinsi dengan kasus konfirmasi positif COVID-19 tertinggi sampaiakhir Juli 2020. Penelitian ini bertujuan untuk memodelkan rate kasus COVID-19 pada15 kecamatan Jakarta dengan intensitas tertinggi. Alasan dipilihnya 15 kecamatan denganintensitas tertinggi untuk menjadi area penelitian karena lebih dari 63,43% kasuskonfirmasi COVID-19 dilaporkan dari 15 kecamatan, yakni Kecamatan Gambir,Menteng, Sawah Besar, Kemayoran, Taman Sari, Senen, Tanah Abang, Johar Baru,Tambora, Grogol Petamburan, Cempaka Putih, Pademangan, Setia Budi, Matraman, danPalmerah. Rate kasus COVID-19 pada area ini kemudian dibuat model GSTAR, modelini merupakan salah satu pemodelan dalam time seriesstokastik yang mempertimbangkanindeks spasial atau lokasi dan waktu (Budi, 2019). Matriks bobot biner, matriks bobotseragam, dan matriks bobot jarak pada penelitian ini dibentuk sebagai matriks dependensispasial antar lokasi atau disebut matriks bobot W. Hasil identifikasi STACF dan STPACFuntuk semua matriks pembobot spasial didapatkan model yang sama, yaitu GSTAR(3,1).Pendugaan parameter model GSTAR(3,1) dilakukan untuk setiap matriks pembobottersebut. Model GSTAR(3,1) yang terbaik diperoleh berdasarkan matriks pembobotjarak, dengan RMSE terkecil yaitu 0.1271.

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Coronavirus Disease (COVID-19) is a new disease that hit the world in 2020. This disease

is thought to have originated in Wuhan, China (Rothan HA, 2020). WHO has designated

COVID-19 as a pandemic because this disease has successfully infected more than 190

countries in world. DKI Jakarta is the capital city in Indonesia which is also one of the

provinces with the highest positive confirmed cases of COVID-19 until the end of July

2020. This study aims to model the level of COVID-19 cases in 15 sub-districts of DKI

Jakarta with the highest intensity. The reason for choosing 15 sub-districts with the

highest intensity to be the research area was because more than 63.43% of confirmed

COVID-19 cases were reported from 15 sub-districts, that is Gambir, Menteng, Sawah

Besar, Kemayoran, Taman Sari, Senen, Tanah Abang, Johar Baru Districts , Tambora,

Grogol Petamburan, Cempaka Putih, Pademangan, Setia Budi, Matraman, and Palmerah.

Rate of COVID-19 cases in this area is then made a GSTAR model, this model is one of

the models in a stochastic time series that considers spatial index or location and time

(Budi, 2019). The binary weight matrix, uniform weight matrix, and distance weight

matrix in this study were formed as a spatial dependency matrix between locations or

called the W weight matrix. The results of STACF and STPACF services for all spatial

weighting matrices obtained the same model, that is GSTAR (3,1). Estimation of

parameters of the GSTAR model (3,1) is carried out for each weighting matrix. The best

GSTAR (3,1) model is based on a distance weighted matrix, with an RMSE of 0.1271"

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Pandemi Covid-19 telah membuat Indonesia berada dalam keadaan darurat karena krisis ekonomi dan kesehatan. Perubahan anggaran pendapatan dan belanja negara (APBN) pun dijadikan salah satu cara untuk mengatasi permasalahan keadaan darurat covid-19. Pemerintah kemudian menerbitkan Peraturan Pemerintah Pengganti Undang-Undang Nomor 1 Tahun 2020 (yang sudah disahkan menjadi Undang-Undang Nomor 2 Tahun 2020) untuk mengatasi keadaan darurat tersebut. Penelitian ini merupakan penelitian yuridis-normatif dengan metode analisis kualitatif. Rumusan masalah penelitian ini mengenai alasan perubahan APBN dengan mekanisme di dalam Perppu 1/2020 dan mekanisme perubahan APBN yang diatur di dalam UU 2/2020. Simpulan dari penelitian ini adalah tidak adanya kapasitas yang memadai dari Dewan Perwakilan Rakyat (DPR) untuk melakukan perubahan APBN dengan cepat dan tanggap seperti yang dilakukan Parlemen negara lain, selain itu, memang terdapat hukum yang tidak memadai di dalam sistem hukum APBN Indonesia sehingga memerlukan Perppu untuk mengubah hukum yang sudah ada. Mekanisme perubahan APBN dengan Peraturan Presiden pun sudah tepat dilakukan di masa darurat tanpa menghilangkan hak budget DPR. Saran dari penelitian ini adalah agar Pemerintah dan DPR menyusun Undang-Undang Keuangan Negara Darurat yang mengatur fleksibilitas dari perubahan APBN, jangka waktu perubahan kebijakan dan mekanisme untuk kembali ke kondisi normal.

 

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The Covid-19 pandemic has put Indonesia in a state of emergency due to the economic and health crisis. Changes in the state budget were also used as one way to overcome the problem of the Covid-19 emergency. The government then issued Emergency Decree (ED) Number 1 of 2020 (which was ratified as Law Number 2 of 2020) to overcome this emergency. This research is a juridical-normative research with a qualitative analysis method. The formulation of problems related to the reasons for the revision of the state budget with the mechanisms in ED 1/2020 and the state budget amendment mechanism regulated in Law 2/2020. The conclusion of this research is that there is no sufficient capacity of the parliament to make changes to the state budget quickly and responsively as has been done by Parliaments of other countries, besides that, there is indeed an inadequate law in the legal system of the Indonesian State Budget so that it requires ED to change existing laws. The mechanism for revising the state budget by Presidential Regulation is already appropriate in an emergency without eliminating the parliament's budgetary rights. The suggestion from this research is that the Government and the Parliament should draft an Emergency State Finance Law which regulates the flexibility of state budget changes, the time frame for policy changes and the mechanism for returning to normal conditions.

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"Latar Belakang : Corona Virus Disease 2019 (COVID 19) merupakan penyakit infeksi yang disebabkan virus Sars Cov 2 yang baru diidentifikasi dan saat ini telah ditetapkan sebagai pandemi. Manifestasi klinis bervariasi dan progresivitas kondisi pasien COVID-19 dapat terjadi setelah satu minggu atau dalam waktu yang tidak dapat ditentukan. Dalam kondisi pandemi COVID-19, tenaga medis perlu untuk menentukan pasien yang harus ditatalaksana terlebih dahulu berdasarkan pertimbangan klinis serta prognosis pasien. Dibutuhkan parameter objektif yang dapat memperkirakan risiko mortalitas untuk memilah prioritas perawatan pasien. Hitung limfosit absolut dan C-reactive protein selama ini digunakan sebagai prediktor mortalitas berbagai penyakit, termasuk infeksi. Perlu ditentukan titik potong dan peran hitung limfosit absolut dan CRP kuantitatif saat admisi sebagai prediktor mortalitas pasien COVID19.Tujuan : Mengetahui titik potong dan peran hitung limfosit absolut dan CRP kuantitatif untuk memprediksi mortalitas pasien COVID 19.Metode : Penelitian kohort retrospektif terhadap 235 pasien probable dan terkonfirmasi COVID-19 di RSCM sejak Maret hingga Juni 2020 dengan metode consecutive sampling. Data yang digunakan adalah data sekunder. Hasil: Sebanyak 235 subjek dianalisis dan didapatkan mortalitas sebesar 27,7%. Titik potong hitung limfosit absolut yang bermakna adalah 977,67 sel/µL dengan nilai AUC sebesar 0.704 (p <0.001 dengan IK 95% 0,624-0,785), sensitivitas 67,69% , spesifisitas 70,0%, NDP 46,32% dan NDN 85,0%. Pada analisis untuk kadar CRP kuantitatif didapatkan nilai AUC sebesar 0.656 (p <0.001 dengan 95%CI 0,578-0,733). Didapatkan nilai titik potong untuk kadar CRP kuantitatif sebesar 88.5 mg/L dengan sensitivitas 52,3% , spesifisitas 68,2%, NDP39,33%, NDN 79,45%. Penggabungan kedua variabel tersebut menghasilkan nilai AUC sebesar 0.737. Keduanya bersifat signifikan meningkatkan risiko mortalitas 4.70 dan 2.34 kali lipat pada pasien COVID-19.Simpulan:Hitung limfosit absolut dan/atau kadar CRP saat admisi dapat digunakan untuk menilai risiko mortalitas pasien COVID-19.

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Background: Coronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV2), has been declared as pandemic world wide. Various clinical manifestation and rapid deterioration from mild to severe symptoms , acute respiratory distress syndrome and deaths could occur in the first week of disease. In pandemic setting, physicians need rapid assessment and objective parameters to make clinical decisions to the patient. Absolute lymphocyte count (ALC) and C-reactive protein (CRP) have been used as mortality predictors in various disease. We need to determine cut off and the role of ALC and CRP in predicting mortality risk in COVID-19.

Objective : To determine the cut off and role of ALC and CRP as mortality predictors in COVID-19 patients.

Methods : A cohort retrospective study with consecutive sampling method. Subjects were adults that fulfilled criteria of probable and confirmed COVID-19 in WHO criteria in RSCM from March to June 2020. Data were obtained from medical record and electronic health record. Analysis was done by using SPSS Statitstic 20.0.

Results : A total of 235 subjects were analysed. The cut off of ALC was 977,67 cell/µL (Sn 68.2% ; Sp 70.4%; PPV 46,32%; NPV 85%) with AUC 0.704 (p<0,001 ; 95% CI [0.627—0.786]) and CRP was 88,5 mg/L (Sn 52,3% ; Sp 68,2%; PPV 39,33%; NPV 79,45%) with AUC 0.656 (p<0,001 ; 95% CI [0.572-0.728]). ROC analysis of ALC and CRP showed AUC 0.737 (p<0,001 ; 95% CI [648—0.792]). Adjusted OR of ALC and CRP showed that mortality risk increased 4.70 and 2.34 times by using the cut off.

Conclusions : ALC and CRP at admission could be used to determine mortality risk in COVID-19 patients."

"Cases of coronavirus disease 2019 (COVID-19) in Indonesia are still increasing and even higher in the last few weeks. Contact tracing and surveillance are important to locate cases in the community, including asymptomatic individuals. Diagnosis of COVID-19 depends on the detection of viral RNA, viral antigen, or indirectly, viral antibodies. Molecular diagnosis, using real time, reverse transcriptase polymerase chain reaction (RT-PCR), is the common standard method; however, it is not widely available in Indonesia and requires a high standard laboratory. Rapid, point-of-care antibody testing has been widely used as an alternative; however, interpretation of the results is not simple and now it is no longer used by the Indonesian government as a screening test for people travelling between locations. Thus, the rapid antigen detection test (Ag-RDT) is used by the Indonesian government as a screening test for travellers. As a result, many people buy the kit online and perform self-Ag-RDT at home. This raises the question of how safe and accurate it is to perform self-Ag-RDT at home. Before a test is applied, it is suggested to research its sensitivity and specificity, as compared to gold standard, and its limitations. In this article, laboratory diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is discussed, with an emphasis on Ag-RDT and the recommendation to use it properly in daily practice."

"Fenomena Coronavirus Diseases 2019 (COVID-19) menyebabkan tingginya infodemi yang meningkatkan ketidakpastian di masyarakat. Media sosial menjadi saluran komunikasi terkait COVID-19 karena menjadi sumber utama masyarakat untuk menyebarkan semua hal tentang COVID-19 saat kekhawatiran dan pemberitaan semakin intensif (Nielsen, Maret 2020). Penelitian Apuke & Omar (2020) mengenai faktor-faktor berbagi berita palsu COVID-19 pada pengguna media sosial. Tujuan penelitian ini adalah mengetahui faktor-faktor yang mempengaruhi niat berbagi berita COVID-19 di media sosial. Metode pengumpulan data menggunakan survei online dengan total responden sampel terkumpul 159 responden. Analisis data menggunakan analisis structural equation modeling (SEM). Hasil penelitian yaitu faktor pencarian informasi, bersosialisasi, hiburan, menghabiskan waktu, dan pengalaman berbagi berita melalui media sosial sebelumnya signifikan mempengaruhi niat pengguna untuk berbagi berita terkait COVID-19 di media sosial. Pengincaran status menjadi faktor tidak signifikan. Pencarian informasi signifikan mempengaruhi pengalaman berbagi berita melalui media sosial sebelumnya terkait COVID-19. Pengincaran status dan menghabiskan waktu menjadi faktor tidak signifikan mempengaruhi pengalaman berbagi berita melalui media sosial sebelumnya terkait COVID-19. Penyedia berita berbasis online khususnya melalui media sosial dapat meningkatkan aspek interaktivitas dengan pembaca dan penyebar berita mereka dengan mencantumkan fitur frekuensi berita tersebut disebar. Pembaca dapat menjaga interkonektivitas dengan berbagi berita valid yang bersumber dari referensi yang dapat dipertanggungjawabkan.

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The phenomenon of the Coronavirus Diseases 2019 (COVID-19) pandemic that attacks the world has caused a high infodemic which has increased uncertainty in society. Social media is a communication communication related to COVID-19 because it is the main source of society for all things about COVID-19 at this time and the news is getting more intensive (Nielsen, March 2020). Apuke & Omar's (2020) research on the predictors of sharing fake COVID-19 news with social media users. The purpose of this study is to find the factors of the intention to share COVID-19 news on social media. The method of filling in data using an online survey with a total sample of respondents collected as many as 159 respondents. Data analysis used structural equation modeling (SEM) analysis. The results showed that the factors of information seeking, socializing, entertainment, pass time, and prior social media sharing experience significantly affect the user's intention to share news related to COVID-19 on social media. Status-seeking is not a significant factor. In addition, information seeking significantly affects prior social media sharing experience related to COVID-19, while status-seeking and pass time are not a significant factor affecting prior social media news sharing experience related to COVID-19. Online-based news providers can increase the aspect of interactivity with their readers and news spreaders with a feature feature how many times the news is spread. Readers can also maintain interconnectivity by sharing true and valid news that comes from reliable references."