Epidemiology: Back to the Future

Olshan, Andrew F.; Roux, Ana V. Diez; Hatch, Maureen; Klebanoff, Mark A.

doi:10.1093/aje/kwz045

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…Delays in sending reports to the district/city health officials are also a weakness of the DHF surveillance system [19]. Inadequate surveillance implementation needs to be evaluated to obtain information effectively and efficiently in the form of assessment and planning from P2P program management [20]. Program holders will use the results of the surveillance evaluation to improve the surveillance system being implemented [21].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Implementation of Dengue Hemorrhagic Fever Surveillance

Amanda

Astuti²,

Fadly³

2023

Dis.Prev.Public Heal J.

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Background: Dengue fever is still endemic in Indonesia. The government launched a DHF surveillance program. There was found some problems in the surveillance system, and the trend of dengue fever in 2016-2020 which had increased at the Pusat Kesehatan Masyarakat (Puskesmas) of Bantul II. This study aims to evaluate the implementation of DHF surveillance at the Puskesmas Bantul II. Method: This research is an evaluation of the CIPP model (Context, Input, Process, Product) with a qualitative-descriptive approach. This research was conducted in June-July 2021 at the Puskesmas Bantul II. Data was collected by interviewing 5 (five) informants. Results: The implementation of DHF surveillance at the Puskesmas Bantul II is based on input, human resources aren’t skilled epidemiologists, officers still hold concurrent positions, and haven’t received epidemiology/surveillance training. The infrastructure was complete, sufficient, and functioning properly. There is no specific allocation of funds for DHF surveillance. There are SOPs and surveillance guidelines, and DHF activities. Based on the process, the collection, processing, presentation, data analysis, and information dissemination have been carried out. The recommendations haven’t been implemented. The Health Office provides regular feedback, monitoring, and evaluation. Based on the output, reporting once a month on time. But its aren’t complete, some files are missing and damaged. Conclusion: The implementation of DHF surveillance at the Puskesmas Bantul II has been carried out, but several aspects of the input, process, and output do not match the indicators, so it affects the outcomes that are not in accordance with national standards.

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Section: Introductionmentioning

confidence: 99%

“…Disease Prevention and Public Health Journal (2023) 17:1, pp [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. …”

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Evaluation of Implementation of Dengue Hemorrhagic Fever Surveillance

Amanda

Astuti²,

Fadly³

2023

Dis.Prev.Public Heal J.

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“…Time, place, and personal characteristics are essential to know because they describe the distribution of the state of a health problem, estimate the magnitude of health problems in various groups and regions and can provide initial clues to formulate a hypothesis that risk factor for disease [12]. The application of epidemiology findings to improve public health must become the highest priority for health policy [13]. The epidemiological picture in Indonesia based on data from the COVID-19 six-month of the outbreak on gender characteristics, the most confirmed COVID-19 is men (50.52%).…”

Section: Introductionmentioning

confidence: 99%

Risk factors of COVID-19 incidence in Bantul Regency, Indonesia

Wardani

Astuti

2023

IJPHS

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Coronavirus disease 2019 (COVID-19) was a public health problem in Indonesia. The highest number of COVID-19 cases in Special Region of Yogyakarta in 2021 was in Bantul Regency. The epidemiological description based on the person, place, time, and risk factors for COVID-19 in Bantul Regency in 2021 has yet to be described. This study aimed to determine risk factors, person, place, and time characteristics associated with the incidence of COVID-19 in the Bantul Regency in 2021. This study employed a cross-sectional design with secondary data on COVID-19 cases in Bantul Regency in 2021. Furthermore, 80,322 samples were analyzed and confirmed COVID-19 was 53,506 cases (66.61%). The case fatality rate was 2.72%. The highest age positive for COVID-19 is <65 years (92.31%), 53.83% of cases were female, and the district of Banguntapan with the highest rate of COVID-19 (15.11%). The peak of cases occurred in July, 2021. There is a relationship between close contact, travel history, age, and gender with the incidence of COVID-19 (p<0.001). The most significant risk factors were close contact (OR=8.657), travel history (OR=3.034), gender (OR=1.147), and age (OR=0.889). Close contact has the most significant association with the incidence of COVID-19, followed by travel history and gender.

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Big Data and Machine Learning

Listl

Filho

2020

Textbooks in Contemporary Dentistry

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Epidemiology: Back to the Future

Cited by 7 publications

References 19 publications

Evaluation of Implementation of Dengue Hemorrhagic Fever Surveillance

Evaluation of Implementation of Dengue Hemorrhagic Fever Surveillance

Risk factors of COVID-19 incidence in Bantul Regency, Indonesia

Big Data and Machine Learning

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