Background Data on COVID-19-related mortality and associated factors from low-resource settings are scarce. This study examined clinical characteristics and factors associated with in-hospital mortality of COVID-19 patients in Jakarta, Indonesia, from March 2 to July 31, 2020. Methods This retrospective cohort included all hospitalised patients with PCR-confirmed COVID-19 in 55 hospitals. We extracted demographic and clinical data, including hospital outcomes (discharge or death). We used logistic regression to examine factors associated with mortality. Findings Of 4265 patients with a definitive outcome by July 31, 3768 (88%) were discharged and 497 (12%) died. The median age was 46 years (IQR 32–57), 5% were children, and 31% had >1 comorbidity. Age-specific mortalities were 11% (7/61) for <5 years; 4% (1/23) for 5–9; 2% (3/133) for 10–19; 2% (8/638) for 20–29; 3% (26/755) for 30–39; 7% (61/819) for 40–49; 17% (155/941) for 50–59; 22% (132/611) for 60–69; and 34% (96/284) for ≥70. Risk of death was associated with higher age, male sex; pre-existing hypertension, diabetes, or chronic kidney disease; clinical diagnosis of pneumonia; multiple (>3) symptoms; immediate ICU admission, or intubation. Across all ages, risk of death was higher for patients with >1 comorbidity compared to those without; notably the risk was six-fold increased among patients <50 years (adjusted odds ratio 5.87, 95%CI 3.28–10.52; 27% vs 3% mortality). Interpretation Overall in-hospital mortality was lower than reported in high-income countries, probably due to younger age distribution and fewer comorbidities. Deaths occurred across all ages, with >10% mortality among children <5 years and adults >50 years.

BackgroundData on COVID-19-related mortality and associated factors from low-resource settings are scarce. This study examined clinical characteristics and factors associated with in-hospital mortality of COVID-19 patients in Jakarta, Indonesia, from March 2 to July 31, 2020.MethodsThis retrospective cohort included all hospitalised patients with PCR-confirmed COVID-19 in 55 hospitals. We extracted demographic and clinical data, including hospital outcomes (discharge or death). We used Cox regression to examine factors associated with mortality.FindingsOf 4265 patients with a definitive outcome by July 31, 3768 (88%) were discharged and 497 (12%) died. The median age was 46 years (IQR 32–57), 5% were children, and 31% had at least one comorbidity. Age-specific mortalities were 11% (7/61) for <5 years; 4% (1/23) for 5-9; 2% (3/133) for 10-19; 2% (8/638) for 20-29; 3% (26/755) for 30-39; 7% (61/819) for 40-49; 17% (155/941) for 50-59; 22% (132/611) for 60-69; and 34% (96/284) for ≥70. Risk of death was associated with higher age; pre-existing hypertension, cardiac disease, chronic kidney disease or liver disease; clinical diagnosis of pneumonia; multiple (>3) symptoms; and shorter time from symptom onset to admission. Patients <50 years with >1 comorbidity had a nearly six-fold higher risk of death than those without (adjusted hazard ratio 5·50, 95% CI 2·72-11·13; 27% vs 3% mortality).InterpretationOverall mortality was lower than reported in high-income countries, probably due to younger age distribution and fewer comorbidities. However, deaths occurred across all ages, with >10% mortality among children <5 years and adults >50 years.

Excess mortality during the COVID-19 epidemic is an important measure of health impacts. We examined mortality records from January 2015 to October 2020 from government sources at Jakarta, Indonesia: 1) burials in public cemeteries; 2) civil death registration; and 3) health authority death registration. During 2015-2019, an average of 26,342 burials occurred each year from January to October. During the same period of 2020, there were 42,460 burials, an excess of 61%. Burial activities began surging in early January 2020, two months before the first official laboratory confirmation of SARS-CoV-2 infection in Indonesia in March 2020. Analysis of civil death registrations or health authority death registration showed insensitive trends during 2020. Burial records indicated substantially increased mortality associated with the onset of and ongoing COVID-19 epidemic in Jakarta and suggest that SARS-CoV-2 transmission may have been initiated and progressing at least two months prior to official detection.Article summary lineAnalysis of civil records of burials in Jakarta, Indonesia showed a 61% increase during 2020 compared to the previous five years, a trend that began two months prior to first official confirmation of SARS-CoV-2 transmission in the city.

Introduction: Maize downy mildew (MDM) is considered as a major problem in all maize growing areas in Indonesia including the Province of Lampung. Objectives: The objectives of this study were (i) to identify the species of Peronosclerospora causing maize downy mildew (MDM) in Lampung, (ii) to determine the influence of varieties on the intensity of downy mildew and (iii) to determine the efficacy of metalaxyl to control MDM on some maize varieties. Methodology: To identify Peronosclerospora causing MDM, the pathogens were observed under light microscope and scanning electron microscope. Maize varieties response against pathogens and efficacy metalaxyl were studied in the field with the test plants exposed to plants showing MDM symptoms as the sources of inocula to mimic natural conditions. Results: Peronosclerospora sorghi, P. maydis, and P. philippinensis were found to cause MDM in Lampung. On both varieties Pioneer 27 (P-27) and NK-22, AUDPC on F1 plants was greater than that on F2 plants. On P-27, the production of F2 was higher than that of F1 plants, but there was not significant difference in production between F1 and F2 of NK-22 variety. Seed treatment using metalaxyl was not effective to control downy mildew of maize. Conclusion: Three species of Peronosclerospora were identified as disease-causing pathogen of MDM in Lampung, but these results were tentatively pending for further studies through molecular techniques. F1 plants were more susceptible than F2 plants to MDM in both P-27 and NK-22. Metalaxyl was not effective in controlling MDM.

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