This study aims to analyze the correlation between weather and covid-19 pandemic in Jakarta Indonesia. This study employed a secondary data analysis of surveillance data of covid-19 from the Ministry of Health of the Republic of Indonesia and weather from the Meteorological Department of the Republic of Indonesia. The components of weather include minimum temperature (°C), maximum temperature (°C), temperature average (°C), humidity (%), and amount of rainfall (mm). Spearman-rank correlation test was used for data analysis. Among the components of the weather, only temperature average (°C) was significantly correlated with covid-19 pandemic (r = 0.392; p b .01). The finding serves as an input to reduce the incidence rate of covid-19 in Indonesia.

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This study evaluated the impact of a nutrition education intervention on child feeding practices and children's nutritional status. Using a randomized controlled trial, we conducted an intervention for 6 months among caregivers with children aged 6–17 months in two subdistricts of Kendari, SE Sulawesi Province, Indonesia. In all, 22 integrated health posts were randomly assigned to an educational intervention or control group with 266 participants in both groups. Participants in the intervention group attended four nutrition classes and received a monthly home visit by cadres (community volunteers), whereas participants in the control group only received standard monthly health care at the health post. The primary study outcome was children's dietary diversity scores (DDSs). Mixed model analysis was conducted to examine the intervention effects on DDS and children's growth adjusting for clustering within subvillages. The study showed the educational intervention had a significant effect on children's DDS. Children in the intervention group had a larger DDS compared with children in the control group (Beta [mean difference] = 0.34, 95% CI: 0.02 to 0.66, P = 0.038). The intervention effect on height‐for‐age z‐score (HAZ) could not be shown (Beta = 0.24, 95% CI: −0.06 to 0.56, P = 0.112). However, stunting prevalence remained stable in the intervention group but increased in the control group. These results indicated nutrition education delivered through nutrition classes combined with regular home visits by cadres as influencers provided a great potential to be adopted to complement other nutrition programmes in community health centres.

Background: The number of COVID-19 cases in Indonesia continues to rise. The roles and responsibilities of healthcare workers are crucial in the battle of the COVID-19.Objective: This study aimed to explore the experience of healthcare workers in combatting COVID-19 in some parts of Indonesia.Methods: This study employed a descriptive qualitative study design. Online semi-structured interviews were conducted in April 2020 among thirteen participants who were purposively selected. Data were analyzed using thematic analysis.Results: Eight themes emerged from data, including lack of personal protective equipment, lack of referral hospitals and limited facilities, dealing with patients with unknown status, feeling worried about getting infected or being a source of viral transmission, being creative, too long shift and fatigue, being surrender to God, and government issues.Conclusion: Findings of this study could be used as the input for the government, healthcare workers, and the general population in combatting COVID-19.

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Diptheria is commonly caused by the aerobic gram-positive bacteria, corynebacterium diphtheria . We herein report an unusual case of diphtheria outbreak in Indonesia in 2017 and its possible causes and current management.

Background: Until now, the case of energy protein malnutrition in children is still high in Indonesia. Kendari city, one of the areas in Indonesia with high prevalent of this disease, has a significant increase which risen from 9.2% in 2006 to 15.1% in 2007. Methods: This was an experimental study that was under taken for 30 days. Sample of research was undernutrition children 12-24 months age that came from Puskesmas Puuwatu area and Perumnas in Kendari City that collected by simple random sampling technique. 16 children under five in the Puskesmas Puuwatu area received local food intervention and 16 children in the area of Puskesmas Perumnas received 123 Milk intervention. Results: There was significant difference in the Mean of body weight differences before and after intervention between children group that was given Local food and 123 Milk (p=0,032. Analysis with using paired t test indicated the differences between Z-Score value with BW/A and BW/H index before and after treatment in the children group that received local food intervention (p=0,000). In the children group that received 123 Milk intervention, the analysis result of Z-Score value with BW/A index before and after intervention indicated that there was not any significant difference (p=0,084), while the analysis of Z-Score value of BW/H index before and after intervention indicated the existence of significant different (p=0,000). The analysis that used independent t test did not indicated the significant difference of Z-Score value with BW/A and BW/H index after the intervention between children group that received Local food and 123 Milk intervention. Independent t-test analysis toward difference Mean of Z-score value with BW/A index indicated that there was significant difference between children group that received Local food and 123 Milk intervention (p=0,025). Analysis result toward difference Mean of Z-Score value with BW/H indicated the existence of significant difference between two group of intervention (p=0,028). Conclusions: Supplementary feeding by local food has better result in the increasing of body weight and Z-Score value than the giving of 123 Milk.

Background: COVID-19 is a pandemic that spreads very fast. Until now, COVID-19 has spread in 207 countries.Objective: This study aimed to analyze the correlation between weather factors and COVID-19 in West Java, Indonesia. This study used a secondary data analysis of weather data from the Meteorological Department of the Republic of Indonesia and surveillance of COVID-19 from the Ministry of Health of the Republic of Indonesia. The weather has five components, including minimum temperature (0C), maximum temperature (0C), temperature average (0C), humidity (%), amount of rainfall (mm), and wind speed (m/s). Data were analyzed using Spearman’s rank correlation test.Result: Of the weather components, only temperature average (r = 0.545; p 0.001) and humidity (r = -0.500; p 0.001) significantly correlated with COVID-19.Conclusion: The results can be used to decrease the pandemic of COVID-19 in Indonesia.