scholarly journals The potential roles of pharmacy medication sales data to augment the syndromic surveillance system in response to COVID‐19 and preparedness for other future infectious disease outbreaks in Indonesia

Author(s):  
Luh Putu Lila Wulandari ◽  
Anak Agung Sagung Sawitri ◽  
Andi Hermansyah
2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Changming Zhou ◽  
Huijian Cheng ◽  
Genming Zhao ◽  
Qi Zhao ◽  
Biao Xu ◽  
...  

The objective is to evaluate the validity of the signals generated by Shewhart chart to detect the increase in febrile children with patients with common infectious diseases. There were 28,049 and 42,029 reports for febrile patients in the two study counties during the 2-year period. The sensitivity were 29.03% and 34.78%. The PPVs were 64.29% and 53.33%. The sensitivity of signals in the syndromic surveillance system was low using the Shewhart model while the PPV was relatively high which suggested that this syndromic surveillance system had potential ability to supplement conventional case report system in detecting common infectious disease outbreaks.


2007 ◽  
Vol 13 (10) ◽  
pp. 1548-1555 ◽  
Author(s):  
Gérard Krause ◽  
Doris Altmann ◽  
Daniel Faensen ◽  
Klaudia Porten ◽  
Justus Benzler ◽  
...  

2020 ◽  
Vol 24 (23) ◽  
Author(s):  
E Amato ◽  
LS Dansie ◽  
GM Grøneng ◽  
HS Blix ◽  
H Bentele ◽  
...  

Between October and December 2018, several clinicians in Norway reported an increase in scabies diagnoses. We compared data from the Norwegian Syndromic Surveillance System on medical consultations for mite infestations with scabies treatment sales data to investigate this reported increase. From 2013 to 2018, consultations and sales of scabies treatments had almost increased by threefold, particularly affecting young adults 15–29 years. We recommend to increase awareness among clinicians to ensure timely diagnosis and treatment.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Vishal Diwan ◽  
Anette Hulth ◽  
Ponnaiah Manickam ◽  
Viduthalai V Balagurusamy ◽  
Deepak Agnihotri ◽  
...  

Objective: To develop, test and study tablet-based participatory syndromic surveillance system for common infectious disease conditions at community level in Simhashta religious mass gathering in Ujjain, India, 2016.Introduction: Infectious disease surveillance for generating early warnings to enable a prompt response during mass gatherings has long been a challenge in India 1,2 as well as in other parts of the world 3,4,5. Ujjain, Madhya Pradesh in Central India hosted one of the largest religious festival in the world called ‘Simhasth kumbh mela’ on the banks of River Kshipra, where more than 50 million attendees came for holy dip during April 22 to May 21, 2016. The attendees included pilgrims (residents and visitors), observers, officials and volunteers. We developed an android application with automated summary reports and an interactive dashboard for syndromic surveillance during the gathering.Methods: We established the participatory surveillance at all 22 sectors of the festival area, and at 20 out-patient hospitals and 12 pharmacies. We trained 55 nursing and social work graduate trainees to collect data from all these settings. The data collectors visited designated spots daily during a fixed time and collected age, gender, residence and self-reported symptoms from consenting attendees during the festival period. The application automatically added date, time and location of interview to each record and data was transmitted to a web server. We monitored the data in the interactive dashboard and prepared summary report on a periodic basis. Daily summary report of self-reported symptoms by time, place and person was shared daily evening with the festival surveillance authority.Results: Of the total 93,020 invited pilgrims, 91% participated in the surveillance. Almost 90% of those were from outside the festival city, 60% were men and 57% were aged 15 to 44 years. Almost 50% of them self-reported presence of at least one symptom. Most frequently reported symptoms were dehydration due to heat (13%), cold (13%), fever (7%) and loose stool (5%). During the festival period of over one month, surveillance data indicated increasing trends of self-reported cough and fever and declining trends of self-reported dehydration (Figure-1). The designated public health authorities for the festival did make use of the information for appropriate action. This tablet-based application was able to collect, process and visualise around 2500 records per day from the community without any data loss.Conclusions: To our knowledge, this is the first report from India documenting real-time surveillance of the community using hand-held devices during a mass gathering. Despite some implementation issues and limitations in the approach and data collected, the use of digital technology provided well-timed information avoiding tedious manual work and reduced a good amount of human resources and logistics involved in reporting symptoms with a traditional paper-based method in such a large population. In retrospect, the main utility of the surveillance output was that of giving reassurance to the officials, as no major outbreaks occurred during the event. We believe that this experience and further analyses will provide input for the establishment and use of such a surveillance system during mass gatherings. The team of investigators propose improving the methods and tools for future use.


2009 ◽  
Vol 24 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Andrew M. J. Cavey ◽  
Jonathan M. Spector ◽  
Derek Ehrhardt ◽  
Theresa Kittle ◽  
Mills McNeill ◽  
...  

AbstractIntroduction:The potential for outbreaks of epidemic disease among displaced residents was a significant public health concern in the aftermath of Hurricane Katrina. In response, the Mississippi Department of Health (MDH) and the American Red Cross (ARC) implemented a novel infectious disease surveillance system, in the form of a telephone “hotline”, to detect and rapidly respond to health threats in shelters.Methods:All ARC-managed shelters in Mississippi were included in the surveillance system. A symptom-based, case reporting method was developed and distributed to shelter staff, who were linked with MDH and ARC professionals by a toll-free telephone service. Hotline staff investigated potential infectious disease outbreaks, provided assistance to shelter staff regarding optimal patient care, and helped facilitate the evaluation of ill evacuees by local medical personnel.Results:Forty-three shelters sheltering 3,520 evacuees participated in the program. Seventeen shelters made 29 calls notifying the hotline of the following cases: (1) fever (6 cases); (2) respiratory infections (37 cases); (3) bloody diarrhea (2 cases); (4) watery diarrhea (15 cases); and (5) other, including rashes (33 cases). Thirty-four of these patients were referred to a local physician or hospital for further diagnosis and disease management. Three cases of chickenpox were identified. No significant infectious disease outbreaks occurred and no deaths were reported.Conclusions:The surveillance system used direct verbal communication between shelter staff and hotline managers to enable more rapid reporting, mapping, investigation, and intervention, far beyond the capabilities of a more passive or paper-based system. It also allowed for immediate feedback and education for staff unfamiliar with the diseases and reporting process. Replication of this program should be considered during future disasters when health surveillance of a large, disseminated shelter population is necessary.


PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e62749 ◽  
Author(s):  
Weirong Yan ◽  
Lars Palm ◽  
Xin Lu ◽  
Shaofa Nie ◽  
Biao Xu ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Sheharyar Minhas

ObjectiveTo prevent and identify gastrointestinal outbreaks due to swimming pools using a two-part surveillance system i) Model Aquatic Health Code (MAHC) Guideline Survey and ii) syndromic surveillanceIntroductionSwimming in contaminated pools can cause gastroenteritis from water contaminated by viruses, bacteria, or parasites. Germs that cause gastroenteritis are shed in feces of infected persons, and easily spread to uninfected persons swimming in pools. Symptoms of gastrointestinal illness can include nausea, vomiting, watery or bloody diarrhea, and weight loss. Common causes of swimming-related gastroenteritis included viruses (norovirus), parasites (giardia, cryptosporidium), and bacteria (Escherichia coli, Shigella). Cryptosporidium is most common agent associated with swimming pool outbreaks. In 2011-2012, public health officials from 32 States reported 90 swimming-pool associated outbreaks to CDC’s Waterborne Disease and Outbreak Surveillance System (WBDOSS). These 90 outbreaks resulted in 1,788 cases, 95 hospitalizations, 1 death. 52% of these outbreaks were caused by Cryptosporidium.MethodsLiterature search was conducted using published peer-reviewed articles via PubMed and Internet websites including, CDC and U.S. consumer product safety commission, Agency for toxic substance and disease registry. Statistical data on GI illness outbreaks associated with swimming pools prevalence and outcomes were also reviewed. Current surveillance methods used for detecting prevalence of waterborne disease outbreaks are based on examples from Ohio and Nebraska to determine approaches and effectiveness of the systems.ResultsSurvey and Education Packet - Distribute a survey with questions about current MAHC guideline adherence and MAHC educational packets that include the incident response guidelines and the water contamination response logStrengths: Low cost, simple, and acceptableLimitations: Not timely event reportingEvent Reporting - Develop a website for reporting contamination events based on the water contamination response logStrengths: Timely reportingLimitations: Complex to setup and maintain, moderate cost, and may not be acceptablePool Inspections - Require pools to undergo periodic inspections to monitor adherence to MAHC guidelinesStrengths: Complete and representativeLimitations: Complex, expensive, not timely event reportingThe current system is based on state reporting to the CDC through the paper-based reporting waterborne disease outbreaks surveillance system (WBDOSS), and the National Outbreak Reporting System (NORS), an electronic reporting system in place since 2009CDC uses waterborne disease outbreak surveillance data too identify the types of etiologic agents, and settings associated with outbreakso evaluate the adequacy of regulations to promote healthy and safe swimmingo establish priorities to improve prevention, guidelines, and regulations at the local, state, and federal levelsThe WBDOSS is not sufficient to capture early detection and reporting of AGI outbreaks. We recommend the these surveillance approaches:Syndromic surveillance of WBD outbreaks to capture early outbreaks of diarrheal, and as many suspected cases as possible in a timely mannerSentinel surveillance at specific healthcare facilities in the proximity of swimming pools where outbreaks can occurActive Lab-based surveillance would offer more robust and complete analysis of the prevalence and incidence of acute GI illness outbreaks in the StateConclusionsOur study concluded that state health department should begin a two-part surveillance system: i) distributing MAHC guideline surveys & education packet; ii) syndromic surveillance system for outbreaks. MAHC Guideline Survey and Education Packet would be cost effective to educate pool operators on current MAHC guidelines and gather baseline data on adherence to MAHC guidelines for responding to contamination events. Afterwards, once baseline data is gathered and awareness of the MAHC guidelines is established, the state health department can determine if event reporting or pool inspections are necessary to increase either the timeliness or representativeness of the surveillance system. Syndromic surveillance would be the most timely and sensitive surveillance system. This is important to achieve health department's goal of early outbreak detection. Both predictive value and data quality are limitations of syndromic surveillance system. Acute gastrointestinal illness is also caused by sources other than pool contamination which can cause false positives.References1-CDC. Protracted Outbreaks of Cryptosporidiosis Associated With Swimming Pool Use --- Ohio and Nebraska, 2000 MMWR 2001; 50(20); 406-410.http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5020a3.htm2-CDC. Outbreaks of Illness Associated with 2-Recreational Water — United States, 2011–2012 MMWR. 64(24); 668-672. http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6424a4.htm?s_cid=mm6424a4_w3-CDC. The Model Aquatic Health Code. August 2015. http://www.cdc.gov/mahc/index.htm4-CDC. (n.d.) Decoding the MAHC: The Model Aquatic Health Code. Retrieved from https://www.cdc.gov/healthywater/pdf/swimming/pools/mahc/decoding-the-mahc.pdf5-CDC. (2016). Fecal Incident Response Recommendations for Aquatic Staff. Retrieved from https://www.cdc.gov/healthywater/swimming/pdf/fecal-incident-response-guidelines.pdf6-CDC. (n.d.) Water Contamination Response Log. Retrieved from https://www.cdc.gov/healthywater/pdf/swimming/pools/water-contamination-response-log.pdf7-CDC. (2016). Model Aquatic Health Code Aquatic Facility Inspection Report. Retrieved from https://www.cdc.gov/mahc/pdf/mahc-aquatic-facility-inspection-report.pdf


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