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Social distancing shall be effective to control Covid-19 spread. However, its effectiveness is doubtfully due to late response of authority in a low-resource setting such as Indonesia. This study aims to present the effectiveness of large-sale social restriction (LSSR) as the social distancing policy by analyze the chronological as well as the difference between before and after LSSR implementation in Jakarta, Indonesia. The secondary data analysis was derived from surveillance data for Covid-19 from government authorities, including the Ministry of Health and the local government of Jakarta. Two statuses related to Covid-19 were examined in the study: incidence and suspect. These Covid-19 statuses were presented in daily rates with pre and post of LSSR policy in Jakarta, Indonesia. LSSR policy had just implemented over a month after the first multiple cases found. The number of positive confirmed patients increased significantly after the LSSR (p-value = 0.000; mean difference = -70.532). This study’s findings showed that social distancing was not effective to control Covid-19 incidence which indicates the late response of the authorities.

One of the most important indicators in malaria eradication is the malaria surveillance information system (SISMAL) for recording and reporting medical cases. This paper aims to describe the availability and readiness of SISMALs at primary health centers (PHCs) in Indonesia. A cross-sectional survey was implemented in seven provinces for this study. The data was analyzed using bivariate, multivariate, and linear regression. The availability of the information system was measured by assessing the presence of the electronic malaria surveillance information system (E-SISMAL) at the studied PHCs. The readiness was measured by averaging each component of the assessment. From 400 PHC samples, only 58.5% had available SISMALs, and their level of readiness was only 50.2%. Three components had very low levels of readiness: (1) the availability of personnel (40.9%), (2) SISMAL integration and storage (50.2%), and (3) the availability of data sources and indicators (56.8%). Remote and border (DTPK) areas had a 4% better readiness score than non-DTPK areas. Endemic areas were 1.4% better than elimination areas, while regions with low financial capacity were 3.78% better than regions with high financial capacity, with moderate capacity (2.91%). The availability rate of the SISMAL at PHCs is only 58.5%. Many PHCs still do not have SISMALs. The readiness of the SISMAL at these PHCs is significantly related to DTPK/remote area, high endemicity status, and low financial capacity. This study found that the implementation of SISMAL is more accessible to malaria surveillance for the remote area and regions with low financial capacity. Therefore, this effort will well-fit to address barrier to malaria surveillance in developing countries. [ABSTRACT FROM AUTHOR]

Reference 1 Herawati MH, Besral, Lolong DB, Pracoyo NE, Sukoco NEW, Supratikta H, et al. (2023) Service availability and readiness of malaria surveillance information systems implementation at primary health centers in Indonesia. The correct Funding statement is: This publication of this study is funded by the Universitas Indonesia PUTI 2023 Award: NKB-432/UN2.RST/HKP.05.00/2023. [Extracted from the article]