scholarly journals PEMODELAN PENGARUH IKLIM TERHADAP ANGKA KEJADIAN DEMAM BERDARAH DI KOTA AMBON MENGGUNAKAN METODE REGRESI GENERALIZED POISSON

2019 ◽  
Vol 3 (3) ◽  
pp. 341-351
Author(s):  
Ferry Kondo Lembang ◽  
Eysye Alchi Nara ◽  
Francis Yunito Rumlawang ◽  
Mozart Winston Talakua

Dengue Hemorrhagic Fever (DHF) is one of the dreaded diseases of the transition season. DHF is a disease found in tropical and subtropical regions that caused by Dengue virus which is transmitted through Aedes mosquitoes. According to the World Health Organization (WHO) data, it is stated that Indonesia is the country with the highest dengue fever case in Southeast Asia. The incidence of dengue fever in Indonesia tends to increase in the middle of the rainy season, and one of the regions in Indonesia with the high level of rainfall intensity is Ambon City. DHF cases in Ambon city increase from year to year due to the last five years the intensity of rainfall is very high. Therefore, this study aims to identify climate factors that affect the incidence of DHF in Ambon City by using Generalized Poisson Regression method. Generalized Poisson Regression is appropriately considered to analyze the causing factors DHF incidence because the rating case of DHF is usually the count data that following the Poisson distribution. The results showed that the smallest AIC value for the Generalized Poisson Regression model was 75.842 with significant variables is DHF in the city of Ambon were one month earlier, air humidity, rainfall, and air humidity two months earlier.

2020 ◽  
Vol 202 ◽  
pp. 12017
Author(s):  
Alan Prahutama ◽  
Dwi Ispriyanti ◽  
Budi Warsito

Regression analysis is an analysis used to model the relationship between the dependent variable (Y) and the independent variable (X). If the dependent variable is a discrete random variable, it is developed using the Poisson regression model. Poisson regression models require non-over-dispersion model assumptions. To deal with over-dispersion, a Generalized Poisson regression model was developed. Generalized Poisson regression (GPR) model is an extension of the Poisson regression model. In this study a GPR model is applied to model the number of dengue hemorrhagic fever (DHF) sufferers in East Nusa Tenggara Province in 2018. The independent variables used include percentage of poor population (X1), population density (X2), percentage of proper sanitation (X3), percentage of decent homes (X4), number of doctors (X5), percentage of access to improved drinking water (X6), average length of schooling (X7), human development index (X8). In the resulting model, Poisson regression experiences multicollinearity and overdisception occurs. To overcome multicollinearity, variable selection is performed. Based on the measurement of the goodness of the model using AIC, the GPR model provides better accuracy than Poisson regression to model DHF in East Nusa Tenggara which is 218.5.


Author(s):  
Richmond Ronald Gomes ◽  

Dengue is a mosquito-borne disease (female mosquitoes of the Aedes genus, principally Aedes aegypti) caused by any one of four closely related dengue viruses. It is endemic in tropical and subtropical continent. World health organization (WHO) currently estimates there may be 50 -100 million dengue infections worldwide every year with over 2.5 billion people at risk of dengue. Symptomatic dengue virus infection may manifests as undifferentiated fever, classical dengue fever (with or without unusual hemorrhages), and dengue hemorrhagic fever (with or without shock). Isolated organopathy or expanded dengue syndrome (EDS) was coined by WHO in the year 2012 to describe cases, which do not fall into either dengue shock syndrome or dengue hemorrhagic fever. The atypical manifestations noted in expanded dengue are multisystemic and multifaceted with organ involvement, such as liver, brain, heart, kidney, central/peripheral nervous system, gastrointestinal tract, lympho reticular system. Dengue virus has long been considered as a non-neurotropic virus, as animal studies have shown that virus does not cross blood brain barrier. Hyponatremia may be found in association with dengue fever and is thought to be caused by peripheral fluid extravasation and resulting intravascular hypovolaemia. But hyponatremia due to syndrome of inappropriate secretion of anti-diuretic hormone (SIADH) in Dengue fever is rare. We report a 40 years old male who was diagnosed as Dengue fever (Dengue Ns1Ag positive) with thrombocytopenia and hyponatremia. He was admitted and further investigations revealed SIADH. He responded well to cautious sodium replacement and addition of tolvaptan. He recovered completely and was discharged after one week. Thus, all clinicians should keep in mind the possibility of SIADH as a part of expanded dengue syndrome.


2007 ◽  
Vol 12 (25) ◽  
Author(s):  
Collective Diseases of Environmental and Zoonotic Origin Team, ECDC

The annual incidence of dengue fever and dengue hemorrhagic fever has increased dramatically around the world in recent decades; the World Health Organization estimates that over 2.5 billion people are currently at risk from dengue viruses worldwide.


2005 ◽  
Vol 79 (21) ◽  
pp. 13797-13799 ◽  
Author(s):  
Dennis A. Bente ◽  
Michael W. Melkus ◽  
J. Victor Garcia ◽  
Rebeca Rico-Hesse

ABSTRACT The increased transmission and geographic spread of dengue fever (DF) and its more severe presentation, dengue hemorrhagic fever (DHF), make it the most important mosquito-borne viral disease of humans (50 to 100 million infections/year) (World Health Organization, Fact sheet 117, 2002). There are no vaccines or treatment for DF or DHF because there are no animal or other models of human disease; even higher primates do not show symptoms after infection (W. F. Scherer, P. K. Russell, L. Rosen, J. Casals, and R. W. Dickerman, Am. J. Trop. Med. Hyg. 27:590-599, 1978). We demonstrate that nonobese diabetic/severely compromised immunodeficient (NOD/SCID) mice xenografted with human CD34+ cells develop clinical signs of DF as in humans (fever, rash, and thrombocytopenia), when infected in a manner mimicking mosquito transmission (dose and mode). These results suggest this is a valuable model with which to study pathogenesis and test antidengue products.


Author(s):  
Roger Magnusson

Non-communicable diseases (NCDs), including cardiovascular disease, cancer, chronic respiratory diseases, and diabetes, are responsible for around 70 percent of global deaths each year. This chapter describes how NCDs have become prevalent and critically evaluates global efforts to address NCDs and their risk factors, with a particular focus on the World Health Organization (WHO) and United Nations (UN) system. It explores the factors that have prevented those addressing NCDs from achieving access to resources and a priority commensurate with their impact on people’s lives. The chapter evaluates the global response to NCDs both prior to and since the UN High-Level Meeting on Prevention and Control of Non-communicable Diseases, held in 2011, and considers opportunities for strengthening that response in future.


Author(s):  
Van-Hao Duong ◽  
Thanh-Duong Nguyen ◽  
Miklos Hegedus ◽  
Erika Kocsis ◽  
Tibor Kovacs

The determination of natural radionuclide concentrations plays an important role for assuring public health and in the estimation of the radiological hazards. This is especially true for high level radiation areas. In this study, 226Ra, 228Ra and 238U concentrations were measured in well waters surrounding eight of the high-level natural radiation areas in northern Vietnam. The 226Ra, 228Ra and 238U activity concentrations vary from <1.2 × 10−3–2.7 (0.46), <2.6 × 10−3–0.43 (0.07) and <38 × 10−3–5.32 Bq/L (0.50 of median), respectively. 226Ra and 238U isotopes in most areas are in equilibrium, except for the DT-Thai Nguyen area. The calculated radiological hazard indices are generally higher than WHO (World Health Organization) recommendations. Average annual effective dose and excess lifetime cancer risk values due to drinking well water range from to 130 to 540 μSv/year and 7.4 × 10−6 to 3.1 × 10−5, respectively.


2017 ◽  
Vol 9 (2) ◽  
pp. 23-28
Author(s):  
Krishna Bahadur Thapa ◽  
Namrata KC ◽  
T Koirala ◽  
A Bhatttarai

Background: Dengue virus is now classified as a major global health threat by the World Health Organization. Bleeding is a common complication and is one of the most feared. There is an increase incidence in the adult population, hence, the focus of this study.Objectives: To determine the incidence of bleeding and the factors that influence its development among patients admitted with dengue fever at Fatima Medical Center, Phillipines from January 2009 to December 2011.Methods: This is a case control study using chart review. The incidence of bleeding is calculated using risk ratio. Factors affecting bleeding are determined using chi square for qualitative variables and T-test or ANOVA for quantitative variables. Simultaneous determination of factors association with bleeding will be analyzed using multiple logistic regression. Level of significance will be set at alpha = 0.05.Results: The female sex is significantly more prone to develop bleeding (p=0.044). There is no significant increase in bleeding in patients who have co-morbidities (p=0.447). In every one unit increase in WBC (1 x 109) the odds of bleeding decrease by 15%. For every one unit increase in hematocrit the odds of bleeding decreases by 6.8%. For every one unit increase in platelet count the odds of bleeding decreases by 3% that is every 10 unit increase in platelet count the odds of bleeding decrease by 22.9%.Conclusions: Female sex, a low initial WBC and platelet count will increase a patient’s propensity to develop bleeding.Journal of Gandaki Medical College Volume, 09, Number 2, July December  2016, page: 23-28


Molecules ◽  
2021 ◽  
Vol 26 (18) ◽  
pp. 5543
Author(s):  
Michael Piameu ◽  
Philippe Nwane ◽  
Wilson Toussile ◽  
Konstantinos Mavridis ◽  
Nadja Christina Wipf ◽  
...  

Previous studies have indicated widespread insecticide resistance in malaria vector populations from Cameroon. However, the intensity of this resistance and underlying mechanisms are poorly known. Therefore, we conducted three cross-sectional resistance surveys between April 2018 and October 2019, using the revised World Health Organization protocol, which includes resistance incidences and intensity assessments. Field-collected Anopheles gambiae s.l. populations from Nkolondom, Nkolbisson and Ekié vegetable farms in the city of Yaoundé were tested with deltamethrin, permethrin, alpha-cypermethrin and etofenprox, using 1× insecticide diagnostic concentrations for resistance incidence, then 5× and 10× concentrations for resistance intensity. Subsamples were analyzed for species identification and the detection of resistance-associated molecular markers using TaqMan® qPCR assays. In Nkolbisson, both An. coluzzii (96%) and An. gambiae s.s. (4%) were found together, whereas only An. gambiae s.s. was present in Nkolondom, and only An. coluzzii was present in Ekié. All three populations were resistant to the four insecticides (<75% mortality rates―MR1×), with intensity generally fluctuating over the time between mod-erate (<98%―MR5×; ≥98%―MR10×) and high (76–97%―MR10×). The kdr L995F, L995S, and N1570Y, and the Ace-1 G280S-resistant alleles were found in An. gambiae from Nkolondom, at 73%, 1%, 16% and 13% frequencies, respectively, whereas only the kdr L995F was found in An. gambiae s.s. from Nkolbisson at a 50% frequency. In An. coluzzii from Nkolbisson and Ekié, we detected only the kdr L995F allele at 65% and 60% frequencies, respectively. Furthermore, expression levels of Cyp6m2, Cyp9k1, and Gste2 metabolic genes were highly upregulated (over fivefold) in Nkolondom and Nkolbisson. Pyrethroid and etofenprox-based vector control interventions may be jeopardized in the prospected areas, due to high resistance intensity, with multiple mechanisms in An. gambiae s.s. and An. coluzzii.


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