Malaria is a matter of concern in public health worldwide. Identifying its risk factors is essential to determine control efforts. We studied the potential environmental and human behaviour risk factors in malaria by a matched case-control study conducted in the Banjarmangu I Public Health Centre area, Banjarnegara, from June to August 2018. A structured questionnaire and checklist were employed to collect data from 50 participants. Data were analysed by Chi-Square, Fisher exact and logistic regression. A positive association was found between malaria and not sleeping under bed mosquito netting (OR=2.087 [95% CI: 1.148-3.795]), not using wire netting in the house ventilation (OR = 3.907 [95% CI: 0.647-24.452]), and inadequate prevention practices during outdoor activities (OR = 2.020 [95% CI: 1.033-3.953]). These three factors were identified as independent risk factors for malaria.
Background: Climate change is a global issue because of its impact on environmental and human health. No exception for Indonesia, an archipelago state with a tropical climate. Climate change potentially influences the mosquitos borne disease, including dengue fever, which poses a vulnerability to the Indonesian populations. This article aims to review the association and the impact of climate change to dengue fever, particularly in Indonesia and to inform the policymaker on directing the adaptation option.Methods: Of thirteen peer review articles were included in this review sourced from google scholar database.Results: Climate change affects dengue incidence in Indonesia due to climate variability.Conclusions: It is essential to Strengthen the surveillance system and provide an early warning system (EWS) based on climate information.Keywords: Climate change, dengue, Indonesia
The Indonesian government began using the term “new normal” in mid-May 2020, which prompted debate in the community and was reflected on social media. Therefore, the goal of this study was to use Twitter-based social media text analysis to depict the Indonesian public’s impression of new normal conditions during the COVID-19 epidemic. We performed a text analysis on Twitter using the phrases “new normal” and “kenormalaan baru” with a time period of 1-31 July 2020 and location restrictions in Indonesia. The words associated with “new normal” are then described in a word cloud map and sorted in a flipped bar chart. We also performed a network bi-gram network analysis to identify word correlations in order to identify sentiments from Twitter text. When compared to other words, the word “covid” has the highest frequency. Other words linked with health protocols, such as “cuci” (wash), “tangan” (hand), “jaga” (maintain), and “jarak” (distance), appeared 1,138, 1501, 3.343, and 2.131 times, respectively, according to unigram analysis. Bigram network analysis reveals discrete clusters of phrases such as “protokol kesehatan” (health protocol), “wash hands” (cuci tangan), “jaga jarak” (physical distance), and “wear mask” (pakai masker). The word connections “covid,” “pandemi” (pandemic), “lupa” (forget), “maskernya” (the mask), “lakukan” (do), “social”, “distancing”, “luar” (outside), “rumah” (home) also conveyed a remark about standard measures in the new normal period.
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