The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared a public health emergency in many countries, including Indonesia. The World Health Organization (WHO) released an educational video, entitled "How to Protect Yourself Against COVID-19", which explained how to prevent the spread of COVID-19. This study is a qualitative study that aims to pre-test this video, based on the Information, Education, Communication (IEC) theory, by analyzing teenagers’ perceptions of the video. The design used was a Rapid Assessment Procedure (RAP), and the data were collected by conducting in-depth interviews with participants, through virtual meetings. The data were analyzed using a qualitative data matrix and thematic analysis. The results showed that all participants found the video regarding the prevention of COVID-19 spread to be attractive and comprehensible. In addition, the participants felt that the contents of the video were not contradictory to their personal values and that the message was targeted to everyone, including themselves. The video was also perceived to be persuasive. Overall, the participants held a generally positive perception of the video.

BackgroundPeople with long-haul COVID-19 could experience various health problems, from mild to severe. This research aimed to identify the effect of long-haul COVID-19, specifically on the Quality-of-Life domains experienced by COVID-19 patients who have been discharged.MethodsData collection was done online, using data from DKI Jakarta hospitalized patients confirmed with and recovered from SARS-CoV-2 infections. We selected patients who have a minimum of 28 days after being hospitalized for COVID-19 positive. The Logistic regression technique was used to analyze the data. The questionnaire used in this research contained questions regarding long-haul COVID-19 symptoms and domains of Quality of Life, which WHOQOL-BREF measured. Before collecting data, we tested the questionnaire with 30 recovered patients hospitalized outside DKI Jakarta.Results172 recovered inpatients who filled out the questionnaire correctly and were aged 18 years and above were randomly selected. Almost one-third (30.2%) of the recovered inpatients had long-haul COVID-19, with 23.8% experiencing one long-haul symptom and 6.4% experiencing more than one symptom. This research also showed that the long-haul effects of COVID-19 affected almost all domains of Quality of Life except the environmental one. Age, gender, and marital status were covariates for the association between long-haul COVID-19 and The Quality of Life.ConclusionContinuing health services after the patient is discharged from the hospital is an important program for COVID-19 survivors because it can prevent a decline in the Quality of Life among patients due to the long-haul COVID-19.

Berbagai negara di dunia termasuk Indonesia tengah menghadapi pandemi Coronavirus Disease (COVID-19) yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2).Penyebaran COVID-19 di Indonesia salah satunya di Provinsi DKI Jakarta terjadi dengan pesat. DKI Jakarta merupakan wilayah padat penduduk, sehingga risiko penyebaran COVID-19 juga tinggi. Penelitian ini bertujuan untuk melihat penyebaran kasus COVID-19 di DKI Jakarta pada bulan Maret-Juli 2020 terjadi secara acak atau kejadian di suatu wilayah dipengaruhi oleh kasus wilayah-wilayah tetangganya dengan menggunakan analisis spasial Global Moran’s Index dan LISA (Local Indicators of Spatial Autocorrelation). Hasil analisis spasial pola distribusi COVID-19 di DKI Jakarta pada bulan Maret-Juli 2020 menunjukkan daerah dengan konsentrasi kasus yang tinggi, terutama di bagian Jakarta Utara serta titik lainnya tersebar di Jakarat Barat dan Jakarta Pusat. Daerah/ kelurahan yang memiliki kuadran high-high terdapat pada kelurahan-kelurahan di Jakarta Utara, Jakarta Pusat, dan Jakarta Barat, daerah/ kelurahan dengan kuadran low-low, banyak berada di  Jakarta Selatan dan Jakarta Timur. Pola spasial COVID-19 di DKI Jakarta dapat menjadi pertimbangan untuk penyusunan kebijakan pencegahan dan pengendalian COVID-19. Various countries in the world including Indonesia are currently still facing the Coronavirus Disease (COVID-19) pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of COVID-19 in Indonesia is very fast, including in DKI Jakarta. DKI Jakarta is a densely populated area, therefore the risk of COVID-19 spread is very high. This study aims to see that the spread of COVID-19 cases in DKI Jakarta in March-July 2020 occurred randomly or events in an area were influenced by cases in neighboring areas using the Global Moran's Index and LISA (Local Indicators of Spatial Autocorrelation) spatial analysis.The results of the spatial analysis showed that the areas with the high-high concentration of cases are mostly located in North Jakarta, with West Jakarta and Central Jakarta also having several areas with high cases. Areas with high-high quadrants are found in North Jakarta, Central Jakarta, and West Jakarta, areas with low-low quadrants are mostly in South Jakarta and East Jakarta.The spatial pattern of COVID-19 in DKI Jakarta can be a consideration for the formulation of policies for the prevention and control of COVID-19.

Background: People with long-haul COVID-19 could experience various health problems, from mild to more severe ones. This research aimed to identify the effect of long-haul COVID-19, specifically on the Quality of Life domains, experienced by COVID-19 patients who have been discharged. Method: Data collection was carried out online, using data from DKI Jakarta hospitalized patients who have been confirmed with and recovered from SARS-CoV-2 infections. We selected patients who have a minimum of 28 days after being hospitalized for COVID-19 positive. Logistic regression technique was used to analyze the data. The questionnaire used in this research contained questions regarding long-haul COVID 19 symptoms and domains of Quality of Life, which were measured by WHOQOL-BREF. Prior to the data collection, we tested the questionnaire with 30 recovered patients who were hospitalized outside DKI Jakarta. Result: In total of 172 recovered inpatients who filled out the questionnaire correctly and aged 18 years and above, were selected by random sampling. Almost one-third (30.2%) of the recovered inpatients had long-haul COVID 19, with 23.8% experiencing one long-haul symptom and 6.4% experiencing more than one symptom. This research also showed that the long-haul effects of COVID-19 affected almost all domains of Quality of Life except the environmental one. Age, gender, and marital status were covariates for the association between long-haul COVID 19 and The Quality of Life. Conclusion: Continuing health services after the patient is discharged from the hospital, is an important program for COVID-19 survivors because it can prevent a decline in the Quality of Life among patients due to the long-haul COVID 19.

People with long-haul COVID-19 could experience various health problems, from milder to more severe ones. This study aimed to identify the effect of long-haul COVID-19, specifically on the Quality of Life domains, experienced by COVID-19 patients who have been discharged. Data collection was carried out online, using data from DKI Jakarta hospitalized patients who have been confirmed with and recovered from SARS-CoV-2 infections. We selected patients who were at least a month away from the onset of COVID-19. Logistic regression technique was used to analyse the data. The questionnaire used in this study contained questions regarding long-haul COVID 19 symptoms and domains of Quality of Life, which were measured by WHOQOL-BREF. Prior to the data collection, we tested the questionnaire with 30 recovered patients who were hospitalized outside DKI Jakarta. Of the 172 recovered inpatients who filled out the questionnaire correctly and aged 18 years or more selected by random sampling, 30.2% had long-haul COVID 19. Respondents who only experienced one long-haul COVID-19 symptom had a proportion of 23.8 %, while those who experienced more than one long-haul COVID-19 symptom had a proportion of 6.4%. This study showed that the long-haul effects of COVID-19 affected almost all domains in Quality of Life except the environmental one. Age, gender, and marital status were covariates for the association between long-haul COVID 19 and the Quality of Life domains. In conclusion, coordination between health service providers and public health officers is essential to obtain an adequate response of post surveillance for recovered COVID-19 patients.