b:{"metadata":[["$","title","0",{"children":"Climate and Health Observatory Accelerator Project | Dataset | CivicDataSpace"}],["$","meta","1",{"name":"description","content":"

The presentation describes the Tunisia based initiative under the Climate and Health Observatory

Accelerator project that uses agent-based modeling and AI to study how climate factors influence the

spread of leishmaniasis. The project integrates climatic, ecological, and epidemiological data to support

predictive insights and inform climate-related public health decision-making.

"}],["$","meta","2",{"name":"keywords","content":"Public Health,Climate Action"}],["$","meta","3",{"property":"og:title","content":"Climate and Health Observatory Accelerator Project"}],["$","meta","4",{"property":"og:description","content":"

The presentation describes the Tunisia based initiative under the Climate and Health Observatory

Accelerator project that uses agent-based modeling and AI to study how climate factors influence the

spread of leishmaniasis. The project integrates climatic, ecological, and epidemiological data to support

predictive insights and inform climate-related public health decision-making.

"}],["$","meta","5",{"property":"og:url","content":"https://civicdataspace.in/datasets/cb74b5be-b735-4108-bf56-2f67b79c7fc1"}],["$","meta","6",{"property":"og:site_name","content":"CivicDataSpace"}],["$","meta","7",{"property":"og:locale","content":"en_US"}],["$","meta","8",{"property":"og:image","content":"https://civicdataspace.in/og.png"}],["$","meta","9",{"property":"og:type","content":"website"}],["$","meta","10",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","11",{"name":"twitter:creator","content":"CivicDataLab"}],["$","meta","12",{"name":"twitter:title","content":"Climate and Health Observatory Accelerator Project"}],["$","meta","13",{"name":"twitter:description","content":"

The presentation describes the Tunisia based initiative under the Climate and Health Observatory

Accelerator project that uses agent-based modeling and AI to study how climate factors influence the

spread of leishmaniasis. The project integrates climatic, ecological, and epidemiological data to support

predictive insights and inform climate-related public health decision-making.

"}],["$","meta","14",{"name":"twitter:image","content":"https://civicdataspace.in/og.png"}]],"error":null,"digest":"$undefined"}