scholarly journals Patterns of diarrhoeal disease among under-five children in Plateau State, Nigeria, 2013–2017

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joseph Chikan Jiwok ◽  
Ayo Stephen Adebowale ◽  
Idongesit Wilson ◽  
Vijaya Kancherla ◽  
Chukwuma David Umeokonkwo
Keyword(s):  
Time Series ◽  
Seasonal Variation ◽  
Disease Surveillance ◽  
Case Fatality ◽  
Diarrhoeal Disease ◽  
Age Group ◽  
Quality Of Data ◽  
Under Five ◽  
Surveillance And Response ◽  
Plateau State

Abstract Background Diarrhoea is the second commonest cause of under-five mortality accounting for over half a million deaths annually. Although the prevalence of diarrhoea in Plateau State is lower than the national figure, the level remains high despite remarkable progress in the reduction of under-five mortality. This study seeks to determine the pattern of diarrhoea disease among under-fives in Plateau State. Methods We extracted data from the Integrated Disease Surveillance and Response platform between January 2013 and December 2017 and analysed the trends of diarrhoea, age-specific case fatality rate (ASCFR), and seasonal patterns. We modelled the quarterly pattern of diarrhoea cases using additive time series and predicted the expected cases for 2018–2020. Results We documented 60,935 cases of diarrhoea with age group 12–59 months having the highest number of cases (49.3%). The age group < 1 month had the highest ASCFR of 0.53%. Seasonal variation showed cases peaked in the first and third quarters of each year, except for the year 2016. The time series projection estimated 16,256, 17,645 and 19,034 cases in the year 2018, 2019 and 2020 respectively. Conclusion Seasonal variation exists, and trends show an increased pattern of diarrhoeal disease among under-fives. There is a need to strengthen the implementation of diarrhoeal preventive and control strategy in the state and to improve the quality of data reporting.

scholarly journals Profile of Suspected Cholera Patients during May – November 2017 in Sanaa City Secondary Analysis

2020 ◽  
pp. 40-48
Author(s):  
Mohammed Qassime ◽  
Ryad Al- Nemri ◽  
Mutahar Al- Qassimi
Keyword(s):  
Age Groups ◽  
Secondary Analysis ◽  
Case Fatality ◽  
Health Care Facilities ◽  
Epidemiological Surveillance ◽  
Age Group ◽  
Under Five ◽  
Management Interventions ◽  
Care Facilities ◽  
Control And Management

Introduction: From 27 April to 3 August 2017, 453,175 suspected cholera cases and 1,930 deaths (CFR: 0.4%) have been reported in 95.6% (22/23) of Yemen governorates, and 89.2% (297/333) of the districts. The five most affected governorates were Amanat Al-Asima, Al Hudaydah, Hajjah, Amran and Dhamar with 53% (239,877/453,175) of the cases reported since 27 April 2017. In amanat al Asimah (Sana'a city) 55563 cases 61 deaths are registered in that period with case fatality rate 0.1% and attack rate 1.68% Objectives: To study Profile of suspected cholera patients in Sanaa city. Materials and Methods: A retrospective descriptive study was carried out by using secondary analysis of available data collected from (DTCs), (ORCs) and other health facilities by department of epidemiological surveillance – Sanaa city health office. Results: A total of 92995 suspected cholera patients were included in the study whereas the average age of study subjects was 22.7 years where standard deviation (SD) 18.8 most affected age groups were (15-29),(5-14),(<5) the predominant of the study subjects from Sanaa city (96%) from Ma'ain, Bani-Alhareth, AND Al-Sabain districts Most cases are reported from DTCs (59300), ORCs (29547) Cases starts to appear in week 17 reaches a peak in weeks 24,25  and then slowly decreases. 155 suspected cholera cases were culture positives Conclusion: 1. Cholera is one of the urgent health problems in Sana’a city Cholera distribution is not gender sensitive, the most affected age group is (15-29) years, followed by (5-14) then under five Cases are mainly distributed in Ma'ain, Bani-Alhareth, & Al-Sabain within Sana’a city (50% of the total cases). The main cholera health care facilities are mainly DTCs and ORCs supported by WHO & UNICEF Most of the subjects seek medical care within the first 2 days after onset of symptoms The peak of cholera suspected cases is registered in weeks 24 & 24. Confirmed cholera cases by culture are 155 from 655 specimen tested whereas 1984 are positive by cholera RDT Recommendations:1. More cholera control interventions are necessary and urgent to eradicate it. More field related research must be carried out to guide control and management interventions. Some interventions must be concentrated on the age groups 5-14 & under five and at the most affected areas.

scholarly journals Brief Epidemiological Report on Chikungunya Outbreak in Bihar, India in 2017: Implications for Control

2019 ◽  
pp. 1-6
Author(s):  
Ragini Mishra ◽  
Navin Mishra
Keyword(s):  
Disease Surveillance ◽  
Age Groups ◽  
Case Fatality ◽  
State Level ◽  
Health Department ◽  
The State ◽  
Control Measures ◽  
Age Group ◽  
The Status ◽  
Almost All

Aims: The present study was done to identify the epidemiology of the disease outbreak in Bihar in 2017 and suggest remedial measures for the prevention of possible future outbreaks of Chikungunya. Study Design:  Daily reports on Chikungunya were collected in prescribed format from the District Surveillance Unit, Integrated Disease Surveillance Programme (IDSP) that included case details from Govt. Medical Colleges and various Private Hospitals in the State. Place and Duration of Study: Index case of Chikungunya was reported in Bihar, India on 15 Feb 2017. After that, few scattered cases were reported till 23 Aug 2017. Cases started increasing from 24 Aug 2017 onwards. From 15 Feb till 31 Dec 2017, total 1223 cases were reported from 32 districts in Bihar. Methodology: The cases were analysed concerning time, place and person. Daily reporting on the health conditions of the cases and the status of the control measures like fogging and larvicidal spray in the affected area was monitored at the State level. Results: Case Fatality Rate (CFR) due to the disease was Nil in the State. The outbreak peak laid from 3-Nov to 12-Nov when 218 cases were reported. Out of 1223 cases, 100% cases were ELISA confirmed. Almost all age groups were affected, but the frequency was greater in the age group 21-30 (25%)> 31-40 (21%)>11-20 (19%). Males (61%) were more affected than females (39%). Out of the total 1223 cases, 100% of the cases were reported from Govt. institutions. State Health Department, Govt. of Bihar took many measures to limit the outbreak, and through strengthening the surveillance and response activities, transmission of the disease was curtailed in the State.     Conclusion: Patna district was most affected followed by Nalanda and Vaishali. Young adults of age group 21-30 were most affected. Males were more affected than females.

scholarly journals Prevalence, Clinical Features, and Outcome of Pseudomonas Bacteremia in Under-Five Diarrheal Children in Bangladesh

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Farhana Akram ◽  
Mark A.C. Pietroni ◽  
Pradip Kumar Bardhan ◽  
Samira Bibi ◽  
Mohammod Jobayer Chisti
Keyword(s):  
Chart Review ◽  
Case Fatality ◽  
Severe Pneumonia ◽  
Retrospective Chart Review ◽  
Diarrhoeal Disease ◽  
Multidrug Resistant ◽  
Under Five ◽  
Disease Research ◽  
Resource Poor ◽  
Hospital Management System

We sought to evaluate the prevalence, associated factors, and outcome of under-five diarrheal children with either sex having Pseudomonas bacteremia. A retrospective chart review of under-five diarrheal children admitted to the Dhaka Hospital of the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), from January 2011 to December 2011 was performed using an online hospital management system. Children with Pseudomonas bacteremia constituted the cases (n = 31), and the controls (n = 124), without Pseudomonas bacteremia, were randomly selected. The prevalence of Pseudomonas bacteremia was 1% (31/5,179). The Pseudomonas was multidrug resistant but was 84% sensitive to ceftazidime and 100% to imipenem. The case-fatality rate was significantly higher among the cases than the controls (26% versus 5%; P = 0.003). In logistic regression analysis, after adjusting for potential confounders such as severe wasting, severe underweight, severe pneumonia, and young age (11.71 (4.0, 18.0) months), the cases more often presented with absent peripheral pulses in absence of dehydration (95% CI = 2.31–24.45) on admission. This finding underscores the importance of early identification of this simple clinical sign to ensure prompt management including fluid resuscitation and broad spectrum antibiotics to help reduce morbidity and mortality in such children, especially in resource-poor settings.

scholarly journals Evaluation of the Kano State Lassa Fever Surveillance System, 2015-2018 – Nigeria

2021 ◽  
Author(s):  
Usman yahya Umar ◽  
Mikha'il Abdu Abubakar ◽  
Imam Wada Bello ◽  
Muhammad Shakir Balogun ◽  
Sadiq Tahir ◽  
...  
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Case Fatality ◽  
Lassa Fever ◽  
Cross Sectional Study ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
Surveillance And Response ◽  
Male Preponderance ◽  
Training And Support

Abstract BackgroundLassa fever (LF) is one of the priority diseases under surveillance through the integrated disease surveillance and response system (IDSR). We evaluated the LF surveillance system against its set objectives and assessed its attributes. MethodsWe used cross-sectional study design. Forty-seven stakeholders involved in the surveillance system were interviewed using the Centers for Disease Control and Prevention’s Updated Guidelines for Evaluating Public Health Surveillance Systems. The LF surveillance data from January 2015 to December 2018 were also analyzed. The attribute and objectives of the system were evaluated. ResultsOut of the 76 suspected cases recorded in kano state during the study period, only 54 samples were laboratory tested, 11 of them were confirmed positive with 9 deaths (case fatality rate of 82%). Confirmed cases were predominantly in Tudun Wada LGA (63.6%), while the age-group 20-39 years constituted 55% of the confirmed cases. There was male preponderance of cases (73%). The predictive value positive (PVP) was 14.5%. The surveillance system was however meeting its objectives of determining LF burden and detecting and characterizing cases and outbreak.ConclusionLF surveillance system in Kano was simple, flexible, stable, acceptable and timely. However, data was not representative. We recommended improved reporting from private and tertiary facilities and more personnel training and support to improve the system.

scholarly journals Study of an epidemiological profile of confirmed COVID-19 positive persons in district Kathua, Jammu and Kashmir

2021 ◽  
Author(s):  
Gurmeet Kaur ◽  
Kiran Bala ◽  
Shalli .
Keyword(s):  
Disease Surveillance ◽  
Case Fatality ◽  
Epidemiological Data ◽  
Age Group ◽  
Cure Rate ◽  
Jammu And Kashmir ◽  
Travel History ◽  
History Of ◽  
Epidemiological Profile ◽  
Epidemiological Information

Background: India recorded its first COVID-19 case on 30 January 2020. Though the early, extended nationwide lockdown of the country was implemented effectively, this alone was not sufficient to defeat the COVID-19 disease. Realizing the importance of the need to generate local epidemiological data through robust studies, this study was undertaken in a district Kathua of Jammu and Kashmir. The aim was to study the epidemiological profile of patients tested positive in district Kathua.Methods: Retrospective observational study was done to find the spatial distribution of corona virus infection in the five blocks in district Kathua of Jammu and Kashmir. Data from the integrated disease surveillance project (IDSP) unit of district Kathua was screened and the epidemiological information from all the positive reports which included the total number of COVID-19 positive cases, address, travel history, contact history were extracted for the period of five months April 2020 to August 2020.Results: 929 patients were found positive for COVID-19. Male outnumbered the females.  More than 58.8% of males were of age group 21-40 years and the least number of positive male cases were seen in the age group >80 years. In our study 627 (67%) had a history of travel, 202 (21%) had a history of contact with a positive patient, 100 (10%) were positive with no history of travel or contact.Conclusions: Kathua block of the district was maximally affected having the 58.7% largest number of COVID-19 positive cases with cure rate of 92.46% and case fatality rate of 0.5% was observed.

scholarly journals Analyses of case-based surveillance data on malaria in pregnancy in Plateau State, Nigeria 2013–2017

2020 ◽  
pp. 201010582095248
Author(s):  
Osarhiemen Iyare ◽  
Ayo Stephen Adebowale ◽  
Chukwuma David Umeokonkwo ◽  
Eniola Adetola Bamgboye ◽  
Abdullahi Abdulrazaq Gobir ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Disease Surveillance ◽  
Intermittent Preventive Treatment ◽  
Intervention Strategy ◽  
Preventive Treatment ◽  
Malaria In Pregnancy ◽  
The Third ◽  
Plateau State ◽  
Cyclical Trend ◽  
In Pregnancy

Background: Malaria in pregnancy accounts for 11% of maternal death in Nigeria. Plateau State has a low uptake of intermittent preventive treatment of malaria among women attending antenatal care. Objectives: This study examined the trend and made projections of reported cases of malaria in pregnancy in Plateau State. Methods: Data were extracted from the state disease surveillance system from January 2013 to December 2017. Reported cases of malaria in pregnancy within the 5 years under investigation were retrieved, merged and sorted by month of reporting and Local Government Area (LGA). Prevalence was calculated yearly for each LGA in Plateau State using Geographic Information System. Seasonal variation and projection were based on a multiplicative time series model. Results: In total, 62,997 cases of malaria in pregnancy were retrieved. Prevalence was 6.9% in 2013 and increased to 15.1% in 2017. Higher prevalence was observed in Wase, Kanam and Shendam LGAs. A cyclical trend with highest number of malaria in pregnancy cases was found within the third quarter of all the years. Within the 5 years, there was higher seasonal variation for quarters three (1.209834) and one (1.099711). The highest number of cases of malaria in pregnancy was likely to occur in the third quarter, while the least was found in the second quarter. The projected numbers of malaria in pregnancy cases are 20,121, 22,593 and 25,064 for year 2018, 2019 and 2020, respectively, and the highest number of cases occurs in the third quarter. Conclusion: Malaria in pregnancy follows an increasing trend in Plateau State, with greatest severity in the third quarter of the year. An effective intervention strategy against malaria among pregnant women is advocated.

scholarly journals Evaluation of the Kano State Lassa Fever Surveillance System, 2015-2018 – Nigeria

2022 ◽  
Author(s):  
Usman yahya Umar ◽  
Mikha'il Abdu Abubakar ◽  
Imam Wada Bello ◽  
Muhammad Shakir Balogun ◽  
Sadiq Tahir ◽  
...  
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Case Fatality ◽  
Lassa Fever ◽  
Cross Sectional Study ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
Surveillance And Response ◽  
Male Preponderance ◽  
Training And Support

Abstract BackgroundLassa fever (LF) is one of the priority diseases under surveillance through the integrated disease surveillance and response system (IDSR). We evaluated the LF surveillance system against its set objectives and assessed its attributes. MethodsWe used cross-sectional study design. Forty-seven stakeholders involved in the surveillance system were interviewed using the Centers for Disease Control and Prevention’s Updated Guidelines for Evaluating Public Health Surveillance Systems. The LF surveillance data from January 2015 to December 2018 were also analyzed. The attribute and objectives of the system were evaluated. ResultsOut of the 76 suspected cases recorded in kano state during the study period, only 54 samples were laboratory tested, 11 of them were confirmed positive with 9 deaths (case fatality rate of 82%). Confirmed cases were predominantly in Tudun Wada LGA (63.6%), while the age-group 20-39 years constituted 55% of the confirmed cases. There was male preponderance of cases (73%). The predictive value positive (PVP) was 14.5%. The surveillance system was however meeting its objectives of determining LF burden and detecting and characterizing cases and outbreak.ConclusionLF surveillance system in Kano was simple, flexible, stable, acceptable and timely. However, data was not representative. We recommended improved reporting from private and tertiary facilities and more personnel training and support to improve the system.

scholarly journals Assessment of the core and support functions of the integrated disease surveillance and response system in Zanzibar, Tanzania

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fatma Saleh ◽  
Jovin Kitau ◽  
Flemming Konradsen ◽  
Leonard E. G. Mboera ◽  
Karin L. Schiøler
Keyword(s):  
Infectious Disease ◽  
Early Detection ◽  
Disease Surveillance ◽  
Health Facilities ◽  
Outbreak Detection ◽  
World Health ◽  
Support Functions ◽  
The Core ◽  
Surveillance And Response ◽  
Facility Level

Abstract Background Disease surveillance is a cornerstone of outbreak detection and control. Evaluation of a disease surveillance system is important to ensure its performance over time. The aim of this study was to assess the performance of the core and support functions of the Zanzibar integrated disease surveillance and response (IDSR) system to determine its capacity for early detection of and response to infectious disease outbreaks. Methods This cross-sectional descriptive study involved 10 districts of Zanzibar and 45 public and private health facilities. A mixed-methods approach was used to collect data. This included document review, observations and interviews with surveillance personnel using a modified World Health Organization generic questionnaire for assessing national disease surveillance systems. Results The performance of the IDSR system in Zanzibar was suboptimal particularly with respect to early detection of epidemics. Weak laboratory capacity at all levels greatly hampered detection and confirmation of cases and outbreaks. None of the health facilities or laboratories could confirm all priority infectious diseases outlined in the Zanzibar IDSR guidelines. Data reporting was weakest at facility level, while data analysis was inadequate at all levels (facility, district and national). The performance of epidemic preparedness and response was generally unsatisfactory despite availability of rapid response teams and budget lines for epidemics in each district. The support functions (supervision, training, laboratory, communication and coordination, human resources, logistic support) were inadequate particularly at the facility level. Conclusions The IDSR system in Zanzibar is weak and inadequate for early detection and response to infectious disease epidemics. The performance of both core and support functions are hampered by several factors including inadequate human and material resources as well as lack of motivation for IDSR implementation within the healthcare delivery system. In the face of emerging epidemics, strengthening of the IDSR system, including allocation of adequate resources, should be a priority in order to safeguard human health and economic stability across the archipelago of Zanzibar.

scholarly journals Seasonality in extra-pulmonary tuberculosis notifications in Germany 2004-2014- a time series analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tanja Charles ◽  
Matthias Eckardt ◽  
Basel Karo ◽  
Walter Haas ◽  
Stefan Kröger
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Disease Onset ◽  
Age Groups ◽  
Age Group ◽  
Pulmonary Tb ◽  
Series Analysis ◽  
Disease Site ◽  
Extra Pulmonary

Abstract Background Seasonality in tuberculosis (TB) has been found in different parts of the world, showing a peak in spring/summer and a trough in autumn/winter. The evidence is less clear which factors drive seasonality. It was our aim to identify and evaluate seasonality in the notifications of TB in Germany, additionally investigating the possible variance of seasonality by disease site, sex and age group. Methods We conducted an integer-valued time series analysis using national surveillance data. We analysed the reported monthly numbers of started treatments between 2004 and 2014 for all notified TB cases and stratified by disease site, sex and age group. Results We detected seasonality in the extra-pulmonary TB cases (N = 11,219), with peaks in late spring/summer and troughs in fall/winter. For all TB notifications together (N = 51,090) and for pulmonary TB only (N = 39,714) we did not find a distinct seasonality. Additional stratified analyses did not reveal any clear differences between age groups, the sexes, or between active and passive case finding. Conclusion We found seasonality in extra-pulmonary TB only, indicating that seasonality of disease onset might be specific to the disease site. This could point towards differences in disease progression between the different clinical disease manifestations. Sex appears not to be an important driver of seasonality, whereas the role of age remains unclear as this could not be sufficiently investigated.

scholarly journals The Deep Learning LSTM and MTD Models Best Predict Acute Respiratory Infection among Under-Five-Year Old Children in Somaliland

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1156
Author(s):  
Mohamed Yusuf Hassan
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Respiratory Infection ◽  
Acute Respiratory Infection ◽  
Short Term Memory ◽  
Mean Deviation ◽  
Sarima Model ◽  
Under Five ◽  
Competing Models ◽  
Long Short Term Memory

The most effective techniques for predicting time series patterns include machine learning and classical time series methods. The aim of this study is to search for the best artificial intelligence and classical forecasting techniques that can predict the spread of acute respiratory infection (ARI) and pneumonia among under-five-year old children in Somaliland. The techniques used in the study include seasonal autoregressive integrated moving averages (SARIMA), mixture transitions distribution (MTD), and long short term memory (LSTM) deep learning. The data used in the study were monthly observations collected from five regions in Somaliland from 2011–2014. Prediction results from the three best competing models are compared by using root mean square error (RMSE) and absolute mean deviation (MAD) accuracy measures. Results have shown that the deep learning LSTM and MTD models slightly outperformed the classical SARIMA model in predicting ARI values.

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