scholarly journals Performance of COVID-19 Surveillance System as Timely Containment Strategy in Western Oromia, Ethiopia.

Author(s):  
Afework Tamiru ◽  
Bikila Regasa ◽  
Tamirat Alemu ◽  
Zenebu Begna

Abstract Background: Since its occurrence in late December, 2019, in Wuhan, China; COVID-19 is rapidly spreading across the world nations. Case detection and contact identification remains the key surveillance objectives for effective containment of the pandemic. This study was aimed at evaluating the performance of COVID-19 surveillance in Western Oromia towns, Ethiopia.Methods: CDC-update guideline for surveillance system evaluation and surveillance documents prepared by Ethiopian Public Health Institute were used as a benchmark. Qualitative interview of health workers and quantitative review of surveillance data were conducted. Semi structured questionnaire was used to interview 436 systematically selected local community to assess their awareness, perceived risk, health system utilization experience and current practices. We analyzed the data using descriptive approach by aligning the data from community, health facility and health authority along with suspect identification, case detection and reporting process of the surveillance system.Results: One hundred seventy-nine (41%) of the participants believe they have high risk of contracting COVID-19 and 127 (29%) of them reported they have been visited by health extension worker. One hundred ninety-seven (45.2%) reported that they are not using health facilities for routine services during this pandemic. Except one hospital, all health facilities (92%) were using updated case definition. From March to July 30, 2020, there were 150 contacts, 116 suspects and 634 risk group tested for COVID-19 of which cases were found only from risk group testing, 10/521 (2%) in Nekemte and none from Shambu. Surveillance data was not being analyzed at all level. Conclusion: In this study it is reasonable to conclude that community/risk group testing was more effective than suspect or contact testing. Surveillance data was not being used to identify group and/or area most exposed for guiding response strategy. Therefore, targeting risk group for testing can improve the effectiveness of COVID-19 surveillance in settings where mass testing is not feasible. Surveillance data analysis should be done to identify areas and groups at higher risk and investigate to avoid further crisis.

2020 ◽  
Author(s):  
Falaho Sani ◽  
Mohammed Hasen ◽  
Mohammed Seid ◽  
Nuriya Umer

Abstract Background: Public health surveillance systems should be evaluated periodically to ensure that the problems of public health importance are being monitored efficiently and effectively. Despite the widespread measles outbreak in Ginnir district of Bale zone in 2019, evaluation of measles surveillance system has not been conducted. Therefore, we evaluated the performance of measles surveillance system and its key attributes in Ginnir district, Southeast Ethiopia.Methods: We conducted a concurrent embedded mixed quantitative/qualitative study in August 2019 among 15 health facilities/study units in Ginnir district. Health facilities are selected using lottery method. The qualitative study involved purposively selected 15 key informants. Data were collected using semi-structured questionnaire adapted from Centers for Disease Control and Prevention guidelines for evaluating public health surveillance systems through face-to-face interview and record review. The quantitative findings were analyzed using Microsoft Excel 2016 and summarized by frequency and proportion. The qualitative findings were narrated and summarized based on thematic areas to supplement the quantitative findings.Results: The structure of surveillance data flow was from the community to the respective upper level. Emergency preparedness and response plan was available only at the district level. Completeness of weekly report was 95%, while timeliness was 87%. No regular analysis and interpretations of surveillance data, and the supportive supervision and feedback system was weak. The participation and willingness of surveillance stakeholders in implementation of the system was good. The surveillance system was found to be useful, easy to implement, representative and can accommodate and adapt to changing conditions. Report documentation and quality of data was poor at lower level health facilities. Stability of the system has been challenged by shortage of budget and logistics, staff turnover and lack of update trainings.Conclusions: The surveillance system was acceptable, useful, simple, flexible and representative. Data quality, timeliness and stability of the system were attributes that require improvement. The overall performance of measles surveillance system in the district was poor. Hence, regular analysis of data, preparation and dissemination of epidemiological bulletin, capacity building and regular supervision and feedback are recommended to enhance performance of the system.


2021 ◽  
Author(s):  
Mengistie Kassahun Tariku ◽  
Sewnet Wongiel Misikir ◽  
Simachew Animen Bantie ◽  
Abebe Habtamu Belete

Abstract Background Maternal death surveillance and response (MDSR) is the “litmus test” of the health system that provides evidence for accomplishment, and provides information in real time and allows improvement towards catching all maternal mortalities. The aim of study was to evaluate maternal death surveillance and response system in Dewachefa. Methods A cross sectional study design was conducted in two health centers, five health post, district health office and from these facilities 32 health workers were included. Data were collected through focal person, health worker and health extension worker interview by using checklist. Collected data were entered into Epi data version 3.1. These data were exported to statistical package for social science for analysis. Analyzed data were presented in the form of text, table and figures. Result The overall knowledge of health professionals and health extension workers on MDSR were 40.9% and 40% respectively. The sensitivity of surveillance system was 3/5(60%). In public health emergency management (PHEM) unit, its representativeness was 3/17 (17.6%). All maternal deaths were notified after 8 day of death. The overall knowledge of Health professionals and health extension workers on MDSR was lower. The surveillance system is not sensitive, timeliness and representative. The System is not sustainable/ not standardized. More work should be needed to improve the sensitivity, representativeness, timeliness and sustainable of the surveillance system.


2021 ◽  
Author(s):  
Naima Said Sheikh ◽  
Abdiwahab Moallim Salad ◽  
Abdi Gele

BBackground. The TB case detection rate in Somalia is 42%, which is much lower than the WHO target of detecting 70% of new TB cases. Understanding the factors contributing to the delay of TB patients in the diagnosis, and reducing the time between the onset of TB symptoms to diagnosis, is a prerequisite to increase the case detection rate and to ultimately bring the TB epidemic in Somalia under control. The aim of this study is to examine the duration of delay, and factors associated with the delay among patients in TB management centers in Mogadishu, Somalia. Methods. An institution-based, cross-sectional study was conducted in TB management clinics providing directly observed treatments (DOTS) programs in Mogadishu. A total of 276 patients were interviewed using a structured questionnaire from June-October 2018. We analyzed data using descriptive statistics and different logistic regression models. Results. Approximately 78% of study participants were male. Nearly a third (36.5%) came from a household of nine individuals or more, while 73% were unemployed. The median patient and provider delays were 50 days and one day, respectively. The median total delay was 55 days, with an inter-quartile range of 119 days. Patients who had a poor knowledge of the symptoms of TB had 3.16 times higher odds of delay over 50 days than their counterparts. Furthermore, a poor knowledge of the symptoms of TB (aOR 4.22, CI 2.13-8.40), not making ones own decisions in seeking TB treatment (aOR 2.43, CI 1.22-4.86) and a poor understanding of the fact that TB can be treated with biomedical treatment, as opposed to traditional treatment (aOR 2.07, CI 1.02-4.16), were predictors of a patient delay over 120 days. Conclusions. The duration in the delay of TB patients under diagnosis in Mogadishu is one of the highest reported in developing countries, exceeding two years in some patients. Training local community health workers to detect suspected TB cases, and referring the cases of prolonged cough over three weeks for TB care centers for diagnosis, is imperative to help break the transmission and reduce the infectious pool in the population of Mogadishu. This may not only increase the community awareness of TB disease, but it may also facilitate the early referral of TB patients to diagnostic and treatment care centers.


2020 ◽  
Author(s):  
Mengistie Tariku ◽  
Sewnet Wongiel Misikir ◽  
Simachew Animen Bantie ◽  
Abebe Habtamu Belete

Abstract Background: Maternal death surveillance and response (MDSR) is the “litmus test” of the health system that provides evidence for accomplishment, links activities to results, makes maternal death visible at all levels, informs communities & health workers, increases country ownership of data, provides information in real time and allows improvement towards catching all maternal mortalities. The aim of study was to evaluate maternal death surveillance and response system in Dewachefa. Methods: A cross sectional study design was conducted in two health centers, five health post, district health office and from these facilities 32 health workers were included. Data were collected through focal person, health worker and health extension worker interview by using checklist. Collected data were entered into Epi data version 3.1. These data were exported to statistical package for social science for analysis. Analyzed data were presented in the form of text, table and figures. Result: The average completeness of weekly report form of the district was 77.4%. Twenty-eight (87.5%) of the health worker had not got Maternal death surveillance and response (MDSR) training. All visited health facilities and Woredas focal person were trained. The system had under notification of maternal death from the community, poor involvement of health facility staff, and discordance of data between public health emergency management, and maternal and newborn health unit report. Establish rapid response team that includes maternal and child health staff’s maternal death review committees in all health facilities.


Author(s):  
Mohammed Husain ◽  
Mahmudur Rahman ◽  
Asm Alamgir ◽  
M. Salim Uzzaman ◽  
Meerjady Sabrina Flora

Objectivea) To observe trends and patterns of diseases of public health importance and responseb) To predict, prevent, detect, control and minimize the harm caused by public health emergenciesc) To develop evidence for managing any future outbreaks, epidemic and pandemicIntroductionDisease surveillance is an integral part of public health system. It is an epidemiological method for monitoring disease patterns and trends. International Health Regulation (IHR) 2005 obligates WHO member countries to develop an effective disease surveillance system. Bangladesh is a signatory to IHR 2005. Institute of Epidemiology, Disease Control and Research (IEDCR <www.iedcr.gov.bd>) is the mandated institute for surveillance and outbreak response on behalf of Government of the People’s Republic of Bangladesh. The IEDCR has a good surveillance system including event-based surveillance system, which proved effective to manage public health emergencies. Routine disease profile is collected by Management Information System (MIS) of Directorate General of Health Services (DGHS). Expanded Program of Immunization (EPI) of DGHS collect surveillance data on EPI-related diseases. Disease Control unit, DGHS is responsible for implementing operational plan of disease surveillance system of IEDCR. The surveillance system maintain strategic collaboration with icddrr,b.MethodsThe IEDCR is conducting disease surveillance in several methods and following several systems. Surveillance data of priority communicable disease are collected by web based integrated disease surveillance. It is based on weekly data received from upazilla (sub-district) health complex on communicable disease marked as priority. They are: acute watery diarrhea, bloody dysentery, malaria, kala-azar, tuberculosis, leprosy, encephalitis, any unknown disease. Government health facilities at upazilla (sub-district) send the data using DHIS2. During outbreak, daily, even hourly reporting is sought from the concerned unit.Moreover, IEDCR conducts disease specific specialized surveillance systems. Data from community as well as from health facilities are collected for Influenza, nipah, dengue, HIV, cholera, cutaneous anthrax, non-communicable diseases, food borne illness. Data from health facilities are collected for antimicrobial resistance, rotavirus and intussusception, reproductive health, child health and mortality, post MDA-surveillance for lymphatic filariasis transmission, molecular xenomonitoring for detection of residual Wucheria bancrofti, dengue (virological), emerging zoonotic disease threats in high-risk interfaces, leptospirosis, acute meningo-encephalitis syndrome (AMES) focused on Japanese encephalitis and nipah, unintentional acute pesticide poisoning among young children. Data for event based surveillance are collected from usual surveillance system as well as from dedicated hotlines (24/7) of IEDCR, media monitoring, and any informal reporting.Case detection is done by syndromic surveillance, laboratory diagnosed surveillance, media surveillance, hotline, cell phone-based surveillance. Dissemination of surveillance is done by website of IEDCR, periodic bulletins, seminar, conference etc. Line listing are done by rapid response teams working in the surveillance sites. Demographic information and short address are listed in the list along with clinical and epidemiological information. Initial cases are confirmed by laboratory test, if required from collaborative laboratory at US CDC (Atlanta). When the epidemiological trend is clear, then subsequent cases are detected by symptoms and rapid tests locally available.ResultsIn 2017, 26 incidents of disease outbreak were investigated by National Rapid Response Team (NRRT) of IEDCR. In the same year, 12 cases of outbreak of unknown disease was investigated by NRRT of IEDCR at different health facilities. Joint surveillance with animal health is being planned for detection and managing zoonotic disease outbreaks, following One Health principles. Department of Livestock, Ministry of Environment and icddrb are partners of the joint surveillance based on One Health principles.Disease Control unit of DGHS, district and upazilla health managers utilizes the disease surveillance data for public health management. They analyze also the surveillance data at their respective level to serve their purpose.ConclusionsA robust surveillance is necessary for assessing the public health situation and prompt notification of public health emergency. The system was introduced at IEDCR mainly for malaria and diarrhea control during establishment of this institute. Eventually the system was developed for communicable disease, and recently for non-communicable diseases. It is effectively used for managing public health emergencies. Notification and detection of public health emergency is mostly possible due to media surveillance.Data for syndromic surveillance for priority communicable diseases is often not sent timely and data quality is often compromised. Tertiary hospitals are yet to participate in the web based integrated disease surveillance system for priority communicable diseases. But they are part of specialized disease surveillances. Data from specialized surveillance with laboratory support is of high quality.Evaluation of the system by conducting research is recommended to improve the system. Specificity and sensitivity of case detection system should also be tested periodically.ReferencesCash, Richard A, Halder, Shantana R, Husain, Mushtuq, Islam, Md Sirajul, Mallick, Fuad H, May, Maria A, Rahman, Mahmudur, Rahman, M Aminur. Reducing the health effect of natural hazards in Bangladesh. Lancet, The, 2013, Volume 382, Issue 9910IEDCR. At the frontline of public health. updated 2013. www.iedcr.gov.bdAo TT, Rahman M et al. Low-Cost National Media-Based Surveillance System for Public Health Events, Bangladesh. Emerging Infectious Diseases. Vol 22, No 4. 2016.<www.iedcr.gov.bd> accessed on 1 Oct 2018. 


2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Kasimu Muhetaer ◽  
Eunice R. Santos ◽  
Avi Raju ◽  
Kiley Allred ◽  
Biru Yang ◽  
...  

After ELR implementation in Houston, the annual number of cases and number of reportable cases increased substantially (chart1); prior to the ELR implementation it took longer to report a case. The use of electronic disease surveillance system and the implementation of ELR improved the Houston disease surveillance system capacity of early case detection (table1); however, after ELR implementation, probably due to increase in case volume, it took longer to complete an investigation (table2); not substantial differences were found between cases pre and post ELR implementation, but cases populated by ELRs were less complete with case reporting information (table3).


2020 ◽  
Author(s):  
Mengistie Tariku

Abstract Background Maternal death surveillance and response (MDSR) is the “litmus test” of the health system that provides evidence for accomplishment, links activities to results, makes maternal death visible at all levels, informs communities & health workers, increases country ownership of data, provides information in real time and allows improvement towards catching all maternal mortalities. The aim of study was to evaluate maternal death surveillance and response system in Dewachefa. Methods A cross sectional study design was conducted in two health centers, five health post, district health office and from these facilities 32 health workers were included. Data were collected through focal person, health worker and health extension worker interview by using checklist. Collected data were entered into Epi data version 3.1. These data were exported to statistical package for social science for analysis. Analyzed data were presented in the form of text, table and figures. Result The average completeness of weekly report form of the district was 77.4%. Twenty-eight (87.5%) of the health worker had not got Maternal death surveillance and response (MDSR) training. All visited health facilities and Woredas focal person were trained. The system had under notification of maternal death from the community, poor involvement of health facility staff, and discordance of data between public health emergency management, and maternal and newborn health unit report. Establish rapid response team that includes maternal and child health staff’s maternal death review committees in all health facilities.


1994 ◽  
Vol 15 (4) ◽  
pp. 1-12 ◽  
Author(s):  
David L. Pelletier ◽  
F. Catherine Johnson

Many developing countries collect on the weight for age of children attending health facilities as one element of a nutrition surveillance system. This study compares the estimates of malnutrition from seven health clinics in northern Malawi with estimates derived from nearby community-level surveys. The results show that prevalence of underweight in clinics does not accurately reflect community prevalence. Clinic estimates often differ by two- to threefold from community estimates, and the direction of the bias is not constant across clinics, making these data an invalid basis for targeting programmes according to nutritional need. Similar results were reported in five other studies in the literature, indicating that the Malawi results are not unusual. It is suggested that, contrary to current practice, cross-sectional clinic-based data should be assumed invalid for targeting purposes unless proved otherwise in a given country. Trend data at regional and country levels require further validation.


2020 ◽  
Author(s):  
Mengistie Tariku ◽  
Sewnet Wongiel Misikir ◽  
Simachew Animen Bantie ◽  
Abebe Habtamu Belete

Abstract Background: Maternal death surveillance and response (MDSR) is the “litmus test” of the health system that provides evidence for accomplishment and , provides information in real time and allows improvement towards catching all maternal mortalities. The aim of study was to evaluate maternal death surveillance and response system in Dewachefa.Methods: A cross sectional study design was conducted in two health centers, five health post, district health office and from these facilities 32 health workers were included. Data were collected through focal person, health worker and health extension worker interview by using checklist. Collected data were entered into Epi data version 3.1. These data were exported to statistical package for social science for analysis. Analyzed data were presented in the form of text, table and figures.Result: The average completeness of weekly report form of the district was 73.1%. Thirteen (59.1 %) of health professionals and 6(60%) of health extension workers had unsatisfactory knowledge on MDSR. All visited health facilities and Woredas focal person were trained. The system had under notification of maternal death from the community, poor involvement of health facility staff, and discordance of data between public health emergency management, and maternal and newborn health unit report. Establish rapid response team that includes maternal and child health staff’s maternal death review committees in all health facilities.


2021 ◽  
Author(s):  
Arthur Ng'etich ◽  
Kuku Voyi ◽  
Clifford Mutero

Abstract Background: Effective health information systems are critical towards achieving timely response to preventive chemotherapy targeted neglected tropical diseases (PC-NTDs) and eventual elimination. Endemic countries should initiate disease control programmes coupled with strengthened health systems that enable prompt case detection and effective response to halt disease transmission and prevent probable outbreaks. This study aimed to assess the importance and feasibility of implementing recommendations for improving surveillance core, support and attribute functions concerning PC-NTDs in Kenya.Methods: A descriptive web-based Delphi process comprising of two survey rounds was used to achieve group consensus. In the first round, participants were enrolled to complete a five-point likert-type self-administered electronic questionnaire comprising of 60 statements across 12 sub-domains on the importance of recommendations. In the second round, participants reappraised their responses following completion of a questionnaire with rephrased statements on feasibility of implementing the recommendations to improve PC-NTDs surveillance and response. Data from both rounds were analysed using descriptive statistics and thematic analysis performed for the open-ended responses. Results: Sixty-two key stakeholders actively involved in surveillance and response activities in seven PC-NTDs endemic counties in Kenya were invited to participate. Of these, 50/62 completed the first round (81% response rate) and 45/50 completed the second round (90% response rate). Consensus was achieved (defined as >70% agreement) on the importance (93%) of recommendation statements and feasibility (77%) of implementing the recommendations. Stakeholders agreed on the importance and feasibility of specific recommendations across the 12 sub-domains: case detection and registration, reporting, data analysis, feedback, epidemic preparedness and response, supervision, training, resources, simplicity, acceptability, stability and flexibility. However, there was lack of consensus on the practicability of availing case registers specific for PC-NTDs (42%), confirming all cases (29%), conducting routine data analysis (31%), increasing supervisory visits (22%), involving all health workers in surveillance training (16%), retaining trained surveillance staff (27%) and increasing the number of designated surveillance personnel (38%). Conclusion: Consensus among surveillance system stakeholders on implementation of the forty-six practical recommendations will inform development of a logical framework to guide decisions on strengthening specific surveillance components within the existing surveillance system in view of PC-NTDs in Kenya.


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