METHODS: A systematic literature search for studies with the primary aim of using OSN to detect and track a pandemic was conducted. We conducted an electronic literature search for eligible English articles published between 2004 and 2015 using PUBMED, IEEExplore, ACM Digital Library, Google Scholar, and Web of Science. First, the articles were screened on the basis of titles and abstracts. Second, the full texts were reviewed. All included studies were subjected to quality assessment.
RESULT: OSNs have rich information that can be utilized to develop an almost real-time pandemic surveillance system. The outcomes of OSN surveillance systems have demonstrated high correlations with the findings of official surveillance systems. However, the limitation in using OSN to track pandemic is in collecting representative data with sufficient population coverage. This challenge is related to the characteristics of OSN data. The data are dynamic, large-sized, and unstructured, thus requiring advanced algorithms and computational linguistics.
CONCLUSIONS: OSN data contain significant information that can be used to track a pandemic. Different from traditional surveys and clinical reports, in which the data collection process is time consuming at costly rates, OSN data can be collected almost in real time at a cheaper cost. Additionally, the geographical and temporal information can provide exploratory analysis of spatiotemporal dynamics of infectious disease spread. However, on one hand, an OSN-based surveillance system requires comprehensive adoption, enhanced geographical identification system, and advanced algorithms and computational linguistics to eliminate its limitations and challenges. On the other hand, OSN is probably to never replace traditional surveillance, but it can offer complementary data that can work best when integrated with traditional data.
Materials and Methods: A total of 111 subjects who fulfilled the inclusion and exclusion criteria were randomly included in the study. The subjects were recalled after 1 month of the commencement of fixed orthodontic treatment for the recording of baseline data including plaque index (PI), gingival index (GI), and modified papillary bleeding index (MPBI). After recording of the baseline data, the subjects were randomly allocated into each of the intervention groups, i.e., group A (manual tooth brush), group B (powered tooth brush), and group C (manual tooth brush combined with mouthwash) by lottery method. Further, all the subjects were recalled after 1 and 2 months for recording the data.
Results: Regarding plaque levels, it was seen that there was a highly statistically significant difference between the three groups (P = 0.001), with the manual tooth brush combined with chlorhexidine mouthwash group recording the lowest mean PI score of 0.5 ± 0.39. A comparison of the mean GI scores among the groups at the end of 2 months shows a highly statistically significant difference (P = 0.001). The mean MPBI scores at the end of 2 months were highly statistically significant among the three groups (P = 0.001), with the group C recording the lowest mean MPBI score of 0.3 ± 0.3.
Conclusion: The powered tooth brush group subjects exhibited significantly lesser PI, GI, and MPBI scores than the manual tooth brush group at the end of 2 months, whereas the manual tooth brush combined with chlorhexidine mouth wash group subjects showed maximum improvement, having significantly lesser PI and GI scores than the powered tooth brush group.
METHODS: A multi-centric cross-sectional survey was conducted in Karachi at different institutions belonging to the private as well as government sector from January to March 2018. We used a structured questionnaire which was adapted from pretested questionnaires that have been used previously in similar studies. Descriptive statistics were analyzed using SPSS v22.0, where adequate knowledge was taken as a score of at least 50%. P