scholarly journals ANALISIS PENELUSURAN MASKER SEBAGAI PROTOKOL KESEHATAN SAAT PANDEMI COVID-19 DI INDONESIA: STUDI GOOGLE TRENDS

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ully Febra Kusuma ◽  
Nurunnisa Arsyad ◽  
Melissa Shalimar Lavinia ◽  
Selvia Rahayu ◽  
Muhammad Khairul Kahfi Pasaribu ◽  
...  
Keyword(s):  
Public Interest ◽  
Keyword Search ◽  
Time Series Data ◽  
Preventive Measures ◽  
Time Lag ◽  
Google Trends ◽  
Series Data ◽  
Qualitative And Quantitative ◽  
Search Results ◽  
Qualitative And Quantitative Study

AbstrakMedical masks are also used by people at risk who are indicated to need them. The supply of medical masks is limited, the general public is encouraged to use non-medical masks or cloth masks. This article will discuss the comparison of search results for sensi masks, cloth masks and N-95 masks using google trend analysis. This research method is a qualitative and quantitative study using time series data with quantitative analysis, time-lag correlation is used to assess whether an increase in GT data is correlated with an increase in COVID-19 cases. Data from google trends regarding keywords related to one of the preventive measures for COVID-19, namely masks such as "sensi masks", "cloth masks" and "N-95 masks". Each search interest usually reaches a peak depending on the situation and conditions that occur at that time. The keyword search for "N-95 masks" experienced a peak when 2 Indonesians were confirmed positive for COVID-19, namely on March 2, 2020 and the day after that the keyword "sensi mask" also experienced the highest peak of searches. The keyword search for "cloth masks" peaked on March 6, 2020, when the price of sensi masks began to rise. The results of the keyword correlation test for “sensi mask”, “cloth mask” and “N-95 mask” show that the keyword search results on Google trended a decline in line with the increase in COVID-19 cases in Indonesia. Public interest in tracing increased at the beginning of COVID-19 entering Indonesia. However, the interest in this search continues to decline and is inversely proportional to the increase in the incidence of COVID-19 cases in Indonesia. Keywords:  COVID-19, sensi masks, medical masks, cloth masks, N-95 masks, Google trends

scholarly journals Data-Driven Recommendations for Establishing Threshold Values for the NIS Trend Indicator in the Mediterranean Sea

Diversity ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 57
Author(s):  
Marika Galanidi ◽  
Argyro Zenetos
Keyword(s):  
Time Series Data ◽  
Driving Forces ◽  
Eastern Mediterranean ◽  
Time Lag ◽  
Series Data ◽  
Indigenous Species ◽  
Reference Period ◽  
Threshold Values ◽  
Basin Scale ◽  
The Mediterranean

In the present work, we analysed time series data on the introduction of new non-indigenous species (NIS) in the Mediterranean between 1970 and 2017, aiming to arrive at recommendations concerning the reference period and provisional threshold values for the NIS trend indicator. We employed regression analysis and breakpoint structural analysis. Our results confirm earlier findings that the reference conditions differ for the four Mediterranean subregions, and support a shortening of the reporting cycle from six to three years, with a two-year time lag for the ensuing assessment. Excluding Lessepsian fishes and parasites, the reference period, defined as the most recent time segment with stable mean new NIS values, was estimated as 1997–2017 for the eastern Mediterranean, 2012–2017 for the central Mediterranean, 2000–2017 for the Adriatic and 1970–2017 for the western Mediterranean. These findings are interpreted primarily on the basis of a basin scale temperature regime shift in the late 1990s, shifts in driving forces such as shellfish culture, and as a result of intensified research efforts and citizen scientist initiatives targeting NIS in the last decade. The threshold values, i.e., the three-year average new NIS values during the reference period, are indicative and will ultimately depend on the choice of species and pathways to be used in the calculations. This is discussed through the prism of target setting in alignment with specific management objectives.

scholarly journals Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 1201
Author(s):  
Dewi Rokhmah ◽  
Khaidar Ali ◽  
Serius Miliyani Dwi Putri ◽  
Khoiron Khoiron
Keyword(s):  
Alternative Medicine ◽  
Public Interest ◽  
Time Lag ◽  
Google Trends ◽  
Rank Test ◽  
Search Term ◽  
Alternative Medicines ◽  
Search Volume ◽  
Relative Search Volume ◽  
Time Lag Correlation

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia. Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated. Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05). Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

scholarly journals Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data

2019 ◽  
Vol 11 (13) ◽  
pp. 1593 ◽  
Author(s):  
Linghui Guo ◽  
Jiangbo Gao ◽  
Chengyuan Hao ◽  
Linlin Zhang ◽  
Shaohong Wu ◽  
...  
Keyword(s):  
Winter Wheat ◽  
North China Plain ◽  
North China ◽  
Time Series Data ◽  
Climatic Factors ◽  
Time Lag ◽  
Series Data ◽  
Lag Effects ◽  
The North ◽  
The North China Plain

Vegetation phenology plays a critical role in the dynamic response of terrestrial ecosystems to climate change. However, the relationship between the phenology of winter wheat and hydrothermal factors is inadequate, especially in typical agricultural areas. In this study, the possible effects of preseason climate changes on the green-up date (GUD) of winter wheat over the North China Plain (NCP) was investigated, using the MODIS EVI 8-day time-series data from 2000 to 2015, as well as the concurrent monthly mean temperature (Tm), mean maximum (Tmax) and minimum temperature (Tmin) and total precipitation (TP) data. Firstly, we quantitatively identified the time lag effects of winter wheat GUD responses to different climatic factors; then, the major driving factors for winter wheat GUD were further explored by applying multiple linear regression models. The results showed that the time lag effects of winter wheat GUD response to climatic factors were site- and climatic parameters-dependent. Negative temperature effects with about a 3-month time lag dominated in most of the NCP, whereas positive temperature effects with a zero-month lag were most common in some of the southern parts. In comparison, total precipitation had a negative zero-month lag effect in the northern region, but two lagged months occurred in the south. Regarding the time lag effects, the explanation power of climatic factors improved relatively by up to 77%, and the explanation area increased by 41.20%. Additionally, change in winter wheat GUD was primarily determined by temperature rather than by TP, with a marked spatial heterogeneity of the Tmax and Tmin effect. Our results confirmed different time lag effects from different climatic factors on phenological processes in spring, and further suggested that both Tmax and Tmin should be considered to improve the performance of spring phenology models.

scholarly journals Biannual Differences in Interest Peaks for Web Inquiries Into Ear Pain and Ear Drops: Infodemiology Study (Preprint)

2021 ◽  
Author(s):  
Faris F Brkic ◽  
Gerold Besser ◽  
Martin Schally ◽  
Elisabeth M Schmid ◽  
Thomas Parzefall ◽  
...  
Keyword(s):  
Time Series ◽  
World Wide Web ◽  
World Wide ◽  
Time Series Data ◽  
Intraclass Correlation ◽  
Google Trends ◽  
Series Data ◽  
Ear Infection ◽  
Search Terms ◽  
Ear Drops

BACKGROUND The data retrieved with the online search engine, Google Trends, can summarize internet inquiries into specified search terms. This engine may be used for analyzing inquiry peaks for different medical conditions and symptoms. OBJECTIVE The aim of this study was to analyze World Wide Web interest peaks for “ear pain,” “ear infection,” and “ear drops.” METHODS We used Google Trends to assess the public online interest for search terms “ear pain,” “ear infection,” and “ear drops” in 5 English and non–English-speaking countries from both hemispheres based on time series data. We performed our analysis for the time frame between January 1, 2004, and December 31, 2019. First, we assessed whether our search terms were most relevant to the topics of ear pain, ear infection, and ear drops. We then tested the reliability of Google Trends time series data using the intraclass correlation coefficient. In a second step, we computed univariate time series plots to depict peaks in web-based interest. In the last step, we used the cosinor analysis to test the statistical significance of seasonal interest peaks. RESULTS In the first part of the study, it was revealed that “ear infection,” “ear pain,” and “ear drops” were the most relevant search terms in the noted time frame. Next, the intraclass correlation analysis showed a moderate to excellent reliability for all 5 countries’ 3 primary search terms. The subsequent analysis revealed winter interest peaks for “ear infection” and “ear pain”. On the other hand, the World Wide Web search for “ear drops” peaked annually during the summer months. All peaks were statistically significant as revealed by the cosinor model (all <i>P</i> values &lt;.001). CONCLUSIONS It can be concluded that individuals affected by otitis media or externa, possibly the majority, look for medical information online. Therefore, there is a need for accurate and easily accessible information on these conditions in the World Wide Web, particularly on differentiating signs and therapy options. Meeting this need may facilitate timely diagnosis, proper therapy, and eventual circumvention of potentially life-threatening complications.

scholarly journals The prevalence of viral antibodies during a large population fluctuation of house mice in Australia

2000 ◽  
Vol 125 (3) ◽  
pp. 719-727 ◽  
Author(s):  
G. R. SINGLETON ◽  
A. L. SMITH ◽  
C. J. KREBS
Keyword(s):  
Doubling Time ◽  
Time Series Data ◽  
Average Rate ◽  
Large Population ◽  
Time Lag ◽  
Series Data ◽  
House Mice ◽  
First Year ◽  
Minute Virus Of Mice ◽  
Mouse Population

We studied the seroprevalence of three viruses (mouse cytomegalovirus (MCMV), minute virus of mice (MVM), and mouse parvovirus (MPV)) in house mice (Mus domesticus) in 1995–7. In the first year average mouse density was less than 1 mouse/ha. From November 1995 to May 1996 the population increased at an average rate of 7% per week, a doubling time of about 10 weeks. From August 1996 to May 1997 the population increased at an average rate of 10% per week, a doubling time of about 7·5 weeks. From a peak around 250 mice/ha in May 1997, the mouse population fell 19% per week to 5 mice/ha in October 1997. The seroprevalence for all three viruses varied dramatically over time. MCMV had the highest seroprevalence (61·7%), followed by MVM (8·5%) and MPV (18·4%). Time series data indicated that MCMV spread rapidly through the population of mice once trap success was greater than 14% (40–100 mice/ha). By contrast MVM and MPV seroprevalence occurred with a 2–3 month and 3–4 month time lag, respectively. The current study supports the contention that MCMV would be a good carrier for an immunocontraceptive vaccine for controlling field populations of mice.

scholarly journals Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1201
Author(s):  
Dewi Rokhmah ◽  
Khaidar Ali ◽  
Serius Miliyani Dwi Putri ◽  
Khoiron Khoiron
Keyword(s):  
Alternative Medicine ◽  
Public Interest ◽  
Time Lag ◽  
Google Trends ◽  
Rank Test ◽  
Search Term ◽  
Alternative Medicines ◽  
Search Volume ◽  
Relative Search Volume ◽  
Time Lag Correlation

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia. Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated. Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05). Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

scholarly journals Biannual Differences in Interest Peaks for Web Inquiries Into Ear Pain and Ear Drops: Infodemiology Study

10.2196/28328 ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. e28328
Author(s):  
Faris F Brkic ◽  
Gerold Besser ◽  
Martin Schally ◽  
Elisabeth M Schmid ◽  
Thomas Parzefall ◽  
...  
Keyword(s):  
Time Series ◽  
World Wide Web ◽  
World Wide ◽  
Time Series Data ◽  
Intraclass Correlation ◽  
Google Trends ◽  
Series Data ◽  
Ear Infection ◽  
Search Terms ◽  
Ear Drops

Background The data retrieved with the online search engine, Google Trends, can summarize internet inquiries into specified search terms. This engine may be used for analyzing inquiry peaks for different medical conditions and symptoms. Objective The aim of this study was to analyze World Wide Web interest peaks for “ear pain,” “ear infection,” and “ear drops.” Methods We used Google Trends to assess the public online interest for search terms “ear pain,” “ear infection,” and “ear drops” in 5 English and non–English-speaking countries from both hemispheres based on time series data. We performed our analysis for the time frame between January 1, 2004, and December 31, 2019. First, we assessed whether our search terms were most relevant to the topics of ear pain, ear infection, and ear drops. We then tested the reliability of Google Trends time series data using the intraclass correlation coefficient. In a second step, we computed univariate time series plots to depict peaks in web-based interest. In the last step, we used the cosinor analysis to test the statistical significance of seasonal interest peaks. Results In the first part of the study, it was revealed that “ear infection,” “ear pain,” and “ear drops” were the most relevant search terms in the noted time frame. Next, the intraclass correlation analysis showed a moderate to excellent reliability for all 5 countries’ 3 primary search terms. The subsequent analysis revealed winter interest peaks for “ear infection” and “ear pain”. On the other hand, the World Wide Web search for “ear drops” peaked annually during the summer months. All peaks were statistically significant as revealed by the cosinor model (all P values <.001). Conclusions It can be concluded that individuals affected by otitis media or externa, possibly the majority, look for medical information online. Therefore, there is a need for accurate and easily accessible information on these conditions in the World Wide Web, particularly on differentiating signs and therapy options. Meeting this need may facilitate timely diagnosis, proper therapy, and eventual circumvention of potentially life-threatening complications.

scholarly journals Potential use of personal protection online search during COVID-19 pandemic for predicting and monitoring public response

2020 ◽  
Vol 9 (4) ◽  
pp. 406
Author(s):  
Michael Chandra ◽  
Rizma Adlia Syakurah
Keyword(s):  
Public Health ◽  
Risk Communication ◽  
Pearson Correlation ◽  
Time Lag ◽  
Early Warning Systems ◽  
Google Trends ◽  
Series Data ◽  
Personal Protection ◽  
Search Volume ◽  
Time Lag Correlation

COVID-19 has become a global public health emergency in almost all over the world, including in Indonesia. Effective risk communication becomes an emergency response to increase awareness and determine appropriate interventions. The study aimed to assess the success of risk communication monitoring using Google Trends during the COVID-19 pandemic in Indonesia. Quantitative and qualitative research uses time-series data (31 December 2019-2 May 2020). The relative search volume (RSV) of keyword „masker‟ (mask) and „cuci tangan‟ (handwashing) from Google Trends (GT) and the number of COVID-19 daily cases were collected. Analyzed qualitatively. RSV search data and daily case comparisons were performed based on Pearson correlation analysis and time lag correlation with significance &lt;0.05. The keyword „masker‟ has four peaks and „cuci tangan‟ has three peaks with fluctuations due to the increase in mask prices, government policies, news, and official WHO recommendations. Validation using time-lag correlation shows the significant results between RSV keywords related to personal protection and the number of COVID-19 cases. The highest correlation was achieved by the keyword „masker‟ three days before the number of COVID-19 cases. Google Trends can potentially be used as a complement and support for early warning systems in the surveillance system and improve public health responses in Indonesia.

Application of sampling methods for the research design

2020 ◽  
Vol 8 (11) ◽  
pp. 180-193
Author(s):  
Geoffrey Kapasa Mweshi ◽  
Kwesi Sakyi
Keyword(s):  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Rigorous Analysis ◽  
Cross Sectional ◽  
Qualitative And Quantitative ◽  
Clear Identification ◽  
Presentation Methods ◽  
The Individual ◽  
Universe Of Discourse

The objective of this paper is to discuss the application of the sampling framework in a research with a view to understanding what it is, and examining the application of the concept to the analysis of sampling as one procedure that makes research manageable. When investigators choose a sample they select a relatively small but representative number of cases from the population of interest or universe of discourse for enumeration or observation. A sample chosen in an unbiased or scientific way is likely to yield results which are closer to the population parameters. The discussion in this paper will address the issues and decisions which are considered before determining the sampling framework in a research so that there is a clear identification of the phenomenon being researched on to create room for rigorous  analysis. The discussion went further by comparing and contrasting the qualitative research approaches. The paper further explored some philosophical underpinnings of research in order to understand and appreciate some of the individual organizational problems.  The paper relied mainly on secondary research by drawing insights from publications and books that had contributed to the revelations about the nature and issues that may be an important in both qualitative and quantitative research. The literature review was therefore mainly focused on the nature of analysis of quantitative and  qualitative data collected through empirical study through cross sectional and time series data using various data collection instruments. The paper also examined in detail data presentation methods and their implications for analysis.

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