scholarly journals Routine Surveillance Data as a Resource for Planning Integration of NTD Case Management

2018 ◽  
Vol 89 (3) ◽  
pp. 178-196 ◽  
Author(s):  
Hope Simpson ◽  
Benedict Quao ◽  
Emmy Van Der Grinten ◽  
Paul Saunderson ◽  
Edwin Ampadu ◽  
...  
2007 ◽  
Author(s):  
Helen Clough ◽  
Jean Sanderson ◽  
Patrick Brown ◽  
Alexander Miller ◽  
Alasdair J. C. Cook

2021 ◽  
Author(s):  
Anna-Katharina Heuschen ◽  
Alhassan Abdul-Mumin ◽  
Martin Nyaaba Adokiya ◽  
Guangyu Lu ◽  
Albrecht Jahn ◽  
...  

Abstract Introduction: The COVID-19 pandemic and its collateral damage severely impact health systems globally and risk to worsen the malaria situation in endemic countries. Malaria is a leading cause of morbidity and mortality in Ghana. This study aims to analyze routine surveillance data to assess possible effects on the malaria burden in the first year of the COVID-19 pandemic in the Northern Region of Ghana. Methods: Monthly routine data from the District Health Information Management System II (DHIMS2) of the Northern Region of Ghana were analyzed. Overall outpatient department visits and malaria incidence rates from the years 2015 to 2019 were compared to the corresponding data of the year 2020. Results: Compared to the corresponding periods of the years 2015 to 2019, overall visits and malaria incidence in pediatric and adult outpatient departments in northern Ghana decreased in March and April 2020, when major movement and social restrictions were implemented in response to the pandemic. Incidence slightly rebounded afterwards in 2020 but stayed below the average of the previous years. Data from inpatient departments showed a similar but more pronounced trend when compared to outpatient departments. In pregnant women, however, malaria incidence in outpatient departments increased after the first COVID-19 wave. Discussion: The findings from this study show that the COVID-19 pandemic affects the malaria burden in health facilities of Ghana, with declines in in- and outpatient rates. Pregnant women may experience reduced access to intermittent preventive malaria treatment and insecticide treated nets, resulting in subsequent higher malaria morbidity. Further data from other African countries, particularly on community-based studies, are needed to fully determine the impact of the pandemic on the malaria situation.


2021 ◽  
Author(s):  
Juliet R.C. Pulliam ◽  
Cari van Schalkwyk ◽  
Nevashan Govender ◽  
Anne von Gottberg ◽  
Cheryl Cohen ◽  
...  

Objective: To examine whether SARS-CoV-2 reinfection risk has changed through time in South Africa, in the context of the emergence of the Beta and Delta variants Design: Retrospective analysis of routine epidemiological surveillance data Setting: Line list data on SARS-CoV-2 with specimen receipt dates between 04 March 2020 and 30 June 2021, collected through South Africa's National Notifiable Medical Conditions Surveillance System Participants: 1,551,655 individuals with laboratory-confirmed SARS-CoV-2 who had a positive test result at least 90 days prior to 30 June 2021. Individuals having sequential positive tests at least 90 days apart were considered to have suspected reinfections. Main outcome measures: Incidence of suspected reinfections through time; comparison of reinfection rates to the expectation under a null model (approach 1); empirical estimates of the time-varying hazards of infection and reinfection throughout the epidemic (approach 2) Results: 16,029 suspected reinfections were identified. The number of reinfections observed through the end of June 2021 is consistent with the null model of no change in reinfection risk (approach 1). Although increases in the hazard of primary infection were observed following the introduction of both the Beta and Delta variants, no corresponding increase was observed in the reinfection hazard (approach 2). Contrary to expectation, the estimated hazard ratio for reinfection versus primary infection was lower during waves driven by the Beta and Delta variants than for the first wave (relative hazard ratio for wave 2 versus wave 1: 0.75 (95% CI: 0.59-0.97); for wave 3 versus wave 1: 0.70 (95% CI: 0.55-0.90)). Although this finding may be partially explained by changes in testing availability, it is also consistent with a scenario in which variants have increased transmissibility but little or no evasion of immunity. Conclusion: We conclude there is no population-wide epidemiological evidence of immune escape and recommend ongoing monitoring of these trends.


Epidemiology ◽  
2015 ◽  
Vol 26 (5) ◽  
pp. 653-660 ◽  
Author(s):  
Ard van Sighem ◽  
Fumiyo Nakagawa ◽  
Daniela De Angelis ◽  
Chantal Quinten ◽  
Daniela Bezemer ◽  
...  

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